diff --git "a/log_node13.txt" "b/log_node13.txt"
new file mode 100644--- /dev/null
+++ "b/log_node13.txt"
@@ -0,0 +1,19250 @@
++ echo Logging output to /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//log_node13.txt
+Logging output to /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//log_node13.txt
++ export ASCEND_PROCESS_LOG_PATH=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/13
++ ASCEND_PROCESS_LOG_PATH=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/13
++ mkdir -p /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//ascend/13
++ DATA_PATH=/local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml
++ TOKENIZER_PATH=/data_4/models/Qwen/Qwen2.5-14B-Instruct/
++ CKPT_LOAD_DIR=/data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/
++ VIT_CKPT_LOAD_DIR=/
++ CKPT_SAVE_DIR=/data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213//
++ rsync -avh /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213/
+sending incremental file list
+
+sent 71 bytes  received 12 bytes  166.00 bytes/sec
+total size is 23.84K  speedup is 287.17
++ cd /local_disk/cognitron_vl/
++ rm -fr datasets
++ mkdir -p datasets
++ ln -s /data/data/ datasets/CV
++ ln -s /data/data/LLM datasets/LLM
++ ln -s /data/data/LMM datasets/LMM
++ source /local_disk/cognitron_vl//scripts/set_env_mg_npu.sh
+++ source /usr/local/Ascend/driver/bin/setenv.bash
++++ DEP_INFO_FILE=/etc/ascend_install.info
++++ [[ -f /etc/ascend_install.info ]]
++++ . /etc/ascend_install.info
++++ DRV_LIB64_COMMON_LDPATH=/driver/lib64/common
++++ DRV_LIB64_DRV_LDPATH=/driver/lib64/driver
++++ DRV_LIB64_LDPATH=/driver/lib64
++++ export LD_LIBRARY_PATH=/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ LD_LIBRARY_PATH=/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ export PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin
++++ PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin
+++ source /usr/local/Ascend/ascend-toolkit/set_env.sh
++++ export LD_LIBRARY_PATH=/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ LD_LIBRARY_PATH=/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ export ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest
++++ ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest
+++++ arch
++++ export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/driver/lib64/common:/driver/lib64/driver:/driver/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64:/usr/local/Ascend/ascend-toolkit/latest/tools/aml/lib64/plugin:/usr/local/Ascend/ascend-toolkit/latest/lib64:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/opskernel:/usr/local/Ascend/ascend-toolkit/latest/lib64/plugin/nnengine:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe/op_tiling/lib/linux/x86_64:/usr/local/Ascend/driver/lib64:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/local/Ascend/driver/lib64/common:/usr/local/Ascend/driver/lib64/driver:/usr/lib/x86_64-linux-gnu/hdf5/serial:
++++ export PYTHONPATH=/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:
++++ PYTHONPATH=/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:
++++ export PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin
++++ PATH=/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/bin:/usr/local/Ascend/ascend-toolkit/latest/compiler/ccec_compiler/bin:/usr/local/Ascend/ascend-toolkit/latest/tools/ccec_compiler/bin:/root/miniconda3/envs/py38/bin:/root/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/sbin:/usr/local/bin
++++ export ASCEND_AICPU_PATH=/usr/local/Ascend/ascend-toolkit/latest
++++ ASCEND_AICPU_PATH=/usr/local/Ascend/ascend-toolkit/latest
++++ export ASCEND_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp
++++ ASCEND_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp
++++ export TOOLCHAIN_HOME=/usr/local/Ascend/ascend-toolkit/latest/toolkit
++++ TOOLCHAIN_HOME=/usr/local/Ascend/ascend-toolkit/latest/toolkit
++++ export ASCEND_HOME_PATH=/usr/local/Ascend/ascend-toolkit/latest
++++ ASCEND_HOME_PATH=/usr/local/Ascend/ascend-toolkit/latest
+++ export HCCL_CONNECT_TIMEOUT=7200
+++ HCCL_CONNECT_TIMEOUT=7200
+++ export HCCL_EXEC_TIMEOUT=7200
+++ HCCL_EXEC_TIMEOUT=7200
+++ export COMBINED_ENABLE=1
+++ COMBINED_ENABLE=1
+++ export MULTI_STREAM_MEMORY_REUSE=1
+++ MULTI_STREAM_MEMORY_REUSE=1
+++ export HCCL_RDMA_TC=160
+++ HCCL_RDMA_TC=160
+++ export HCCL_RDMA_SL=5
+++ HCCL_RDMA_SL=5
+++ export HCCL_INTRA_PCIE_ENABLE=0
+++ HCCL_INTRA_PCIE_ENABLE=0
+++ export HCCL_INTRA_ROCE_ENABLE=1
+++ HCCL_INTRA_ROCE_ENABLE=1
+++ export HCCL_RDMA_TIMEOUT=20
+++ HCCL_RDMA_TIMEOUT=20
+++ export INF_NAN_MODE_ENABLE=1
+++ INF_NAN_MODE_ENABLE=1
+++ export DISTRIBUTED_BACKEND=hccl
+++ DISTRIBUTED_BACKEND=hccl
+++ export ASCEND_LAUNCH_BLOCKING=0
+++ ASCEND_LAUNCH_BLOCKING=0
+++ export ASCEND_SLOG_PRINT_TO_STDOUT=0
+++ ASCEND_SLOG_PRINT_TO_STDOUT=0
+++ export ASCEND_GLOBAL_LOG_LEVEL=3
+++ ASCEND_GLOBAL_LOG_LEVEL=3
+++ export ASCEND_GLOBAL_EVENT_ENABLE=0
+++ ASCEND_GLOBAL_EVENT_ENABLE=0
+++ export TASK_QUEUE_ENABLE=1
+++ TASK_QUEUE_ENABLE=1
+++ export PTCOPY_ENABLE=1
+++ PTCOPY_ENABLE=1
+++ export COMBINED_ENABLE=1
+++ COMBINED_ENABLE=1
+++ export DYNAMIC_OP=ADD#MUL
+++ DYNAMIC_OP=ADD#MUL
+++ export HCCL_WHITELIST_DISABLE=1
+++ HCCL_WHITELIST_DISABLE=1
+++ export HCCL_CONNECT_TIMEOUT=7200
+++ HCCL_CONNECT_TIMEOUT=7200
+++ export HCCL_WHITELIST_DISABLE=1
+++ HCCL_WHITELIST_DISABLE=1
+++ export CUDA_DEVICE_MAX_CONNECTIONS=1
+++ CUDA_DEVICE_MAX_CONNECTIONS=1
+++ pip3 install --no-index --find-links=/data/software/ -r requirements_npu.txt
+Looking in links: /data/software/
+Processing data/software/expecttest-0.2.1-py3-none-any.whl (from -r requirements_npu.txt (line 1))
+Requirement already satisfied: peft in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 2)) (0.7.0)
+Processing data/software/XlsxWriter-3.2.0-py3-none-any.whl (from -r requirements_npu.txt (line 3))
+Requirement already satisfied: termcolor in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 4)) (2.4.0)
+Requirement already satisfied: tabulate in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 5)) (0.9.0)
+Processing data/software/tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from -r requirements_npu.txt (line 6))
+Requirement already satisfied: matplotlib in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 7)) (3.7.5)
+Processing data/software/datasets-3.0.0-py3-none-any.whl (from -r requirements_npu.txt (line 8))
+Requirement already satisfied: einops in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 9)) (0.7.0)
+Processing data/software/pybind11-2.13.6-py3-none-any.whl (from -r requirements_npu.txt (line 10))
+Requirement already satisfied: tensorboardX in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 11)) (2.6.2.2)
+Processing data/software/pyarrow-17.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from -r requirements_npu.txt (line 12))
+Requirement already satisfied: transformers>=4.40.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 13)) (4.40.1)
+Requirement already satisfied: deepspeed>=0.14.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 14)) (0.14.5)
+Processing data/software/accelerate-0.34.2-py3-none-any.whl (from -r requirements_npu.txt (line 15))
+Requirement already satisfied: timm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from -r requirements_npu.txt (line 16)) (0.9.16)
+Processing data/software/flask-3.0.3-py3-none-any.whl (from -r requirements_npu.txt (line 17))
+Processing data/software/Flask_RESTful-0.3.10-py2.py3-none-any.whl (from -r requirements_npu.txt (line 18))
+Processing data/software/decord-0.6.0-py3-none-manylinux2010_x86_64.whl (from -r requirements_npu.txt (line 19))
+Processing data/software/natsort-8.4.0-py3-none-any.whl (from -r requirements_npu.txt (line 20))
+Requirement already satisfied: numpy>=1.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (1.24.4)
+Requirement already satisfied: packaging>=20.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (23.2)
+Requirement already satisfied: psutil in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (5.9.8)
+Requirement already satisfied: pyyaml in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (5.4.1)
+Requirement already satisfied: torch>=1.13.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (2.1.0+cpu)
+Requirement already satisfied: tqdm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (4.66.2)
+Requirement already satisfied: safetensors in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (0.4.2)
+Requirement already satisfied: huggingface-hub>=0.17.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft->-r requirements_npu.txt (line 2)) (0.20.3)
+Requirement already satisfied: regex>=2022.1.18 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tiktoken->-r requirements_npu.txt (line 6)) (2023.12.25)
+Requirement already satisfied: requests>=2.26.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tiktoken->-r requirements_npu.txt (line 6)) (2.31.0)
+Requirement already satisfied: contourpy>=1.0.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (1.1.1)
+Requirement already satisfied: cycler>=0.10 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (0.12.1)
+Requirement already satisfied: fonttools>=4.22.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (4.49.0)
+Requirement already satisfied: kiwisolver>=1.0.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (1.4.5)
+Requirement already satisfied: pillow>=6.2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (10.2.0)
+Requirement already satisfied: pyparsing>=2.3.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (3.1.1)
+Requirement already satisfied: python-dateutil>=2.7 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (2.8.2)
+Requirement already satisfied: importlib-resources>=3.2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from matplotlib->-r requirements_npu.txt (line 7)) (6.1.2)
+Requirement already satisfied: filelock in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.13.1)
+Requirement already satisfied: dill<0.3.9,>=0.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (0.3.7)
+Requirement already satisfied: pandas in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2.0.3)
+Processing data/software/requests-2.32.3-py3-none-any.whl (from tiktoken->-r requirements_npu.txt (line 6))
+Processing data/software/tqdm-4.67.1-py3-none-any.whl (from peft->-r requirements_npu.txt (line 2))
+Requirement already satisfied: xxhash in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.4.1)
+Requirement already satisfied: multiprocess in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (0.70.15)
+Requirement already satisfied: fsspec<=2024.6.1,>=2023.1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from fsspec[http]<=2024.6.1,>=2023.1.0->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2023.10.0)
+Requirement already satisfied: aiohttp in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets>=2.21.0->-r requirements_npu.txt (line 8)) (3.9.3)
+Processing data/software/huggingface_hub-0.26.2-py3-none-any.whl (from peft->-r requirements_npu.txt (line 2))
+Requirement already satisfied: protobuf>=3.20 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from tensorboardX->-r requirements_npu.txt (line 11)) (4.25.3)
+Requirement already satisfied: tokenizers<0.20,>=0.19 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers>=4.40.1->-r requirements_npu.txt (line 13)) (0.19.1)
+Requirement already satisfied: hjson in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (3.1.0)
+Requirement already satisfied: ninja in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (1.11.1.1)
+Requirement already satisfied: nvidia-ml-py in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (12.560.30)
+Requirement already satisfied: py-cpuinfo in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (9.0.0)
+Requirement already satisfied: pydantic in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from deepspeed>=0.14.2->-r requirements_npu.txt (line 14)) (1.10.15)
+Processing data/software/safetensors-0.4.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from peft->-r requirements_npu.txt (line 2))
+Requirement already satisfied: torchvision in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from timm->-r requirements_npu.txt (line 16)) (0.16.0)
+Requirement already satisfied: Werkzeug>=3.0.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (3.0.1)
+Requirement already satisfied: Jinja2>=3.1.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (3.1.3)
+Processing data/software/itsdangerous-2.2.0-py3-none-any.whl (from flask->-r requirements_npu.txt (line 17))
+Requirement already satisfied: click>=8.1.3 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (8.1.7)
+Processing data/software/blinker-1.8.2-py3-none-any.whl (from flask->-r requirements_npu.txt (line 17))
+Requirement already satisfied: importlib-metadata>=3.6.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask->-r requirements_npu.txt (line 17)) (7.0.1)
+Processing data/software/aniso8601-9.0.1-py2.py3-none-any.whl (from flask_restful->-r requirements_npu.txt (line 18))
+Requirement already satisfied: six>=1.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask_restful->-r requirements_npu.txt (line 18)) (1.16.0)
+Requirement already satisfied: pytz in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from flask_restful->-r requirements_npu.txt (line 18)) (2024.1)
+Requirement already satisfied: aiosignal>=1.1.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.3.1)
+Requirement already satisfied: attrs>=17.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (23.2.0)
+Requirement already satisfied: frozenlist>=1.1.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.4.1)
+Requirement already satisfied: multidict<7.0,>=4.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (6.0.5)
+Requirement already satisfied: yarl<2.0,>=1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (1.9.4)
+Requirement already satisfied: async-timeout<5.0,>=4.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (4.0.3)
+Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from huggingface-hub>=0.17.0->peft->-r requirements_npu.txt (line 2)) (4.10.0)
+Requirement already satisfied: zipp>=0.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from importlib-metadata>=3.6.0->flask->-r requirements_npu.txt (line 17)) (3.17.0)
+Requirement already satisfied: MarkupSafe>=2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from Jinja2>=3.1.2->flask->-r requirements_npu.txt (line 17)) (2.1.5)
+Requirement already satisfied: charset-normalizer<4,>=2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (3.3.2)
+Requirement already satisfied: idna<4,>=2.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (3.6)
+Requirement already satisfied: urllib3<3,>=1.21.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (1.26.18)
+Requirement already satisfied: certifi>=2017.4.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests>=2.26.0->tiktoken->-r requirements_npu.txt (line 6)) (2024.2.2)
+Requirement already satisfied: sympy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (1.4)
+Requirement already satisfied: networkx in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (3.1)
+Requirement already satisfied: tzdata>=2022.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets>=2.21.0->-r requirements_npu.txt (line 8)) (2024.1)
+Requirement already satisfied: mpmath>=0.19 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from sympy->torch>=1.13.0->peft->-r requirements_npu.txt (line 2)) (1.3.0)
+DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063
+Installing collected packages: aniso8601, xlsxwriter, tqdm, safetensors, requests, pybind11, pyarrow, natsort, itsdangerous, expecttest, decord, blinker, tiktoken, huggingface-hub, flask, flask_restful, accelerate, datasets
+  Attempting uninstall: tqdm
+    Found existing installation: tqdm 4.66.2
+    Uninstalling tqdm-4.66.2:
+      Successfully uninstalled tqdm-4.66.2
+  Attempting uninstall: safetensors
+    Found existing installation: safetensors 0.4.2
+    Uninstalling safetensors-0.4.2:
+      Successfully uninstalled safetensors-0.4.2
+  Attempting uninstall: requests
+    Found existing installation: requests 2.31.0
+    Uninstalling requests-2.31.0:
+      Successfully uninstalled requests-2.31.0
+  Attempting uninstall: pyarrow
+    Found existing installation: pyarrow 15.0.0
+    Uninstalling pyarrow-15.0.0:
+      Successfully uninstalled pyarrow-15.0.0
+  Attempting uninstall: huggingface-hub
+    Found existing installation: huggingface-hub 0.20.3
+    Uninstalling huggingface-hub-0.20.3:
+      Successfully uninstalled huggingface-hub-0.20.3
+  Attempting uninstall: accelerate
+    Found existing installation: accelerate 0.25.0
+    Uninstalling accelerate-0.25.0:
+      Successfully uninstalled accelerate-0.25.0
+  Attempting uninstall: datasets
+    Found existing installation: datasets 2.16.0
+    Uninstalling datasets-2.16.0:
+      Successfully uninstalled datasets-2.16.0
+ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
+tikit 1.8.2.240926 requires dicttoxml==1.7.4, which is not installed.
+tikit 1.8.2.240926 requires docopt==0.6.2, which is not installed.
+tikit 1.8.2.240926 requires future==0.18.2, which is not installed.
+tikit 1.8.2.240926 requires hdfs==2.6.0, which is not installed.
+tikit 1.8.2.240926 requires pure-sasl==0.6.2, which is not installed.
+tikit 1.8.2.240926 requires py4j==0.10.7, which is not installed.
+tikit 1.8.2.240926 requires PyHive[hive]==0.6.4, which is not installed.
+tikit 1.8.2.240926 requires pyjwt>=2.4.0, which is not installed.
+tikit 1.8.2.240926 requires requests-kerberos>=0.14.0, which is not installed.
+tikit 1.8.2.240926 requires sasl==0.3.1, which is not installed.
+tikit 1.8.2.240926 requires thrift==0.15.0, which is not installed.
+tikit 1.8.2.240926 requires thrift-sasl>=0.1.0, which is not installed.
+tikit 1.8.2.240926 requires certifi==2021.10.8, but you have certifi 2024.2.2 which is incompatible.
+tikit 1.8.2.240926 requires cos-python-sdk-v5==1.9.29, but you have cos-python-sdk-v5 1.9.26 which is incompatible.
+tikit 1.8.2.240926 requires idna==3.3, but you have idna 3.6 which is incompatible.
+tikit 1.8.2.240926 requires prettytable==2.5.0, but you have prettytable 3.11.0 which is incompatible.
+tikit 1.8.2.240926 requires urllib3==1.26.7, but you have urllib3 1.26.18 which is incompatible.
+tikit 1.8.2.240926 requires wcwidth==0.2.5, but you have wcwidth 0.2.13 which is incompatible.
+Successfully installed accelerate-0.34.2 aniso8601-9.0.1 blinker-1.8.2 datasets-3.0.0 decord-0.6.0 expecttest-0.2.1 flask-3.0.3 flask_restful-0.3.10 huggingface-hub-0.26.2 itsdangerous-2.2.0 natsort-8.4.0 pyarrow-17.0.0 pybind11-2.13.6 requests-2.32.3 safetensors-0.4.5 tiktoken-0.7.0 tqdm-4.67.1 xlsxwriter-3.2.0
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
+++ return 0
++ MEGATRON_DIR=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0/
++ MINDSPEED_DIR=/local_disk/cognitron_vl//third_party/MindSpeed_core_r0.6.0/
++ MODELLINK_DIR=/local_disk/cognitron_vl//third_party/ModelLink/
++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0/
+Looking in links: /data/software/
+Obtaining file://local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0
+  Installing build dependencies: started
+  Installing build dependencies: finished with status 'done'
+  Checking if build backend supports build_editable: started
+  Checking if build backend supports build_editable: finished with status 'done'
+  Getting requirements to build editable: started
+  Getting requirements to build editable: finished with status 'done'
+  Installing backend dependencies: started
+  Installing backend dependencies: finished with status 'done'
+  Preparing editable metadata (pyproject.toml): started
+  Preparing editable metadata (pyproject.toml): finished with status 'done'
+Building wheels for collected packages: megatron_core
+  Building editable for megatron_core (pyproject.toml): started
+  Building editable for megatron_core (pyproject.toml): finished with status 'done'
+  Created wheel for megatron_core: filename=megatron_core-0.6.0-0.editable-cp38-cp38-linux_x86_64.whl size=8791 sha256=04750276db8b68c19516fbaa064d2bcff3d53378f8b3496912cca968468560b0
+  Stored in directory: /tmp/pip-ephem-wheel-cache-iydph7zz/wheels/54/9c/d1/d2015aa0c34e791e64d65d19395e5a9a5528f0c63fd519b9ff
+Successfully built megatron_core
+DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063
+Installing collected packages: megatron_core
+Successfully installed megatron_core-0.6.0
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/MindSpeed_core_r0.6.0/
+Looking in links: /data/software/
+Obtaining file://local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0
+  Preparing metadata (setup.py): started
+  Preparing metadata (setup.py): finished with status 'done'
+WARNING: Error parsing requirements for tokenizers: [Errno 2] No such file or directory: '/root/miniconda3/envs/py38/lib/python3.8/site-packages/tokenizers-0.19.1.dist-info/METADATA'
+WARNING: Error parsing requirements for transformers: [Errno 2] No such file or directory: '/root/miniconda3/envs/py38/lib/python3.8/site-packages/transformers-4.40.1.dist-info/METADATA'
+DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063
+Installing collected packages: mindspeed
+  Running setup.py develop for mindspeed
+Successfully installed mindspeed-0.6.0
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
++ pip3 install --no-index --find-links=/data/software/ -e /local_disk/cognitron_vl//third_party/ModelLink/
+Looking in links: /data/software/
+Obtaining file://local_disk/cognitron_vl/third_party/ModelLink
+  Preparing metadata (setup.py): started
+  Preparing metadata (setup.py): finished with status 'done'
+Requirement already satisfied: numpy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.24.4)
+Processing data/software/transformers-4.43.2-py3-none-any.whl (from modellink==0.0.1)
+Processing data/software/transformers-stream-generator-0.0.5.tar.gz (from modellink==0.0.1)
+  Preparing metadata (setup.py): started
+  Preparing metadata (setup.py): finished with status 'done'
+Requirement already satisfied: sympy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.4)
+Requirement already satisfied: decorator in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (5.1.1)
+Requirement already satisfied: scipy in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.10.1)
+Requirement already satisfied: sentencepiece in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.2.0)
+Requirement already satisfied: einops in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.7.0)
+Requirement already satisfied: datasets in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (3.0.0)
+Requirement already satisfied: pybind11 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (2.13.6)
+Requirement already satisfied: accelerate in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.34.2)
+Requirement already satisfied: six in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (1.16.0)
+Requirement already satisfied: protobuf in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (4.25.3)
+Processing data/software/peft-0.7.1-py3-none-any.whl (from modellink==0.0.1)
+Requirement already satisfied: tiktoken in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from modellink==0.0.1) (0.7.0)
+Requirement already satisfied: packaging>=20.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (23.2)
+Requirement already satisfied: psutil in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (5.9.8)
+Requirement already satisfied: pyyaml in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (5.4.1)
+Requirement already satisfied: torch>=1.13.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (2.1.0+cpu)
+Requirement already satisfied: tqdm in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (4.67.1)
+Requirement already satisfied: safetensors in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (0.4.5)
+Requirement already satisfied: huggingface-hub>=0.17.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from peft==0.7.1->modellink==0.0.1) (0.26.2)
+Requirement already satisfied: filelock in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (3.13.1)
+Requirement already satisfied: regex!=2019.12.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (2023.12.25)
+Requirement already satisfied: requests in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from transformers==4.43.2->modellink==0.0.1) (2.32.3)
+Processing data/software/tokenizers-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from transformers==4.43.2->modellink==0.0.1)
+Requirement already satisfied: pyarrow>=15.0.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (17.0.0)
+Requirement already satisfied: dill<0.3.9,>=0.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (0.3.7)
+Requirement already satisfied: pandas in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (2.0.3)
+Requirement already satisfied: xxhash in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (3.4.1)
+Requirement already satisfied: multiprocess in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (0.70.15)
+Requirement already satisfied: fsspec<=2024.6.1,>=2023.1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from fsspec[http]<=2024.6.1,>=2023.1.0->datasets->modellink==0.0.1) (2023.10.0)
+Requirement already satisfied: aiohttp in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from datasets->modellink==0.0.1) (3.9.3)
+Requirement already satisfied: mpmath>=0.19 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from sympy->modellink==0.0.1) (1.3.0)
+Requirement already satisfied: aiosignal>=1.1.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (1.3.1)
+Requirement already satisfied: attrs>=17.3.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (23.2.0)
+Requirement already satisfied: frozenlist>=1.1.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (1.4.1)
+Requirement already satisfied: multidict<7.0,>=4.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (6.0.5)
+Requirement already satisfied: yarl<2.0,>=1.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (1.9.4)
+Requirement already satisfied: async-timeout<5.0,>=4.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from aiohttp->datasets->modellink==0.0.1) (4.0.3)
+Requirement already satisfied: typing-extensions>=3.7.4.3 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from huggingface-hub>=0.17.0->peft==0.7.1->modellink==0.0.1) (4.10.0)
+Requirement already satisfied: charset-normalizer<4,>=2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests->transformers==4.43.2->modellink==0.0.1) (3.3.2)
+Requirement already satisfied: idna<4,>=2.5 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests->transformers==4.43.2->modellink==0.0.1) (3.6)
+Requirement already satisfied: urllib3<3,>=1.21.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests->transformers==4.43.2->modellink==0.0.1) (1.26.18)
+Requirement already satisfied: certifi>=2017.4.17 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from requests->transformers==4.43.2->modellink==0.0.1) (2024.2.2)
+Requirement already satisfied: networkx in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (3.1)
+Requirement already satisfied: jinja2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (3.1.3)
+Requirement already satisfied: python-dateutil>=2.8.2 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2.8.2)
+Requirement already satisfied: pytz>=2020.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2024.1)
+Requirement already satisfied: tzdata>=2022.1 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from pandas->datasets->modellink==0.0.1) (2024.1)
+Requirement already satisfied: MarkupSafe>=2.0 in /root/miniconda3/envs/py38/lib/python3.8/site-packages (from jinja2->torch>=1.13.0->peft==0.7.1->modellink==0.0.1) (2.1.5)
+Building wheels for collected packages: transformers_stream_generator
+  Building wheel for transformers_stream_generator (setup.py): started
+  Building wheel for transformers_stream_generator (setup.py): finished with status 'done'
+  Created wheel for transformers_stream_generator: filename=transformers_stream_generator-0.0.5-py3-none-any.whl size=12425 sha256=2201832c5148bb94c20e2f5b05a453d326501f66de07674d59fdb18c66628623
+  Stored in directory: /root/.cache/pip/wheels/56/8c/42/5381d9c36bc85f28982f4cf8f98dc44d37a6d6c04897a5cb7c
+Successfully built transformers_stream_generator
+DEPRECATION: apex 0.1-ascend-20240523 has a non-standard version number. pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of apex or contact the author to suggest that they release a version with a conforming version number. Discussion can be found at https://github.com/pypa/pip/issues/12063
+Installing collected packages: tokenizers, transformers, transformers_stream_generator, peft, modellink
+  Attempting uninstall: tokenizers
+    Found existing installation: tokenizers 0.20.3
+    Uninstalling tokenizers-0.20.3:
+      Successfully uninstalled tokenizers-0.20.3
+  Attempting uninstall: transformers
+    Found existing installation: transformers 4.46.3
+    Uninstalling transformers-4.46.3:
+      Successfully uninstalled transformers-4.46.3
+  Attempting uninstall: peft
+    Found existing installation: peft 0.7.0
+    Uninstalling peft-0.7.0:
+      Successfully uninstalled peft-0.7.0
+  Running setup.py develop for modellink
+Successfully installed modellink-0.0.1 peft-0.7.1 tokenizers-0.19.1 transformers-4.43.2 transformers_stream_generator-0.0.5
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
++ export PYTHONPATH=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0//:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:
++ PYTHONPATH=/local_disk/cognitron_vl//third_party/Megatron-LM_core_r0.6.0//:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:/usr/local/Ascend/ascend-toolkit/latest/python/site-packages:/usr/local/Ascend/ascend-toolkit/latest/opp/built-in/op_impl/ai_core/tbe:
++ GPUS_PER_NODE=16
++ NNODES=32
++ NODE_RANK=13
++ MASTER_PORT=34567
++ export CUDA_DEVICE_MAX_CONNECTIONS=1
++ CUDA_DEVICE_MAX_CONNECTIONS=1
++ VISION_SEQ_LENGTH=1025
++ IMAGE_TOKEN_LENGTH=256
++ IMAGE_SIZE=448
++ VISION_MODEL_TYPE=intern_300m
++ TP=8
++ PP=1
++ CP=2
++ CP_ALGO=megatron_cp_algo
++ CP_MASK=causal
++ DISTRIBUTED_ARGS='
+    --nproc_per_node 16     --nnodes 32     --node_rank 13     --master_addr train-1197954740059955456-93njiyzl9b0g-master-0.train-100034032793.svc.cluster.local     --master_port 34567
+'
++ GPT_ARGS='
+    --use-mcore-models     --tensor-model-parallel-size 8     --pipeline-model-parallel-size 1     --context-parallel-size 2     --context-parallel-algo megatron_cp_algo     --cp-attention-mask-type causal     --use-cp-send-recv-overlap     --no-create-attention-mask-in-dataloader     --sparse-mode 4     --sequence-parallel     --recompute-method block     --recompute-granularity full     --recompute-num-layers 48     --num-layers 48     --hidden-size 5120     --ffn-hidden-size 13824     --num-attention-heads 40     --group-query-attention     --num-query-groups 8     --tokenizer-type PretrainedFromHF     --tokenizer-name-or-path /data_4/models/Qwen/Qwen2.5-14B-Instruct/     --seq-length 131072     --max-position-embeddings 131072     --micro-batch-size 1     --global-batch-size 64     --make-vocab-size-divisible-by 1     --padded-vocab-size 152064     --rotary-base 1000000.0     --lr 5.00e-6     --train-iters 1000     --lr-decay-style cosine     --untie-embeddings-and-output-weights     --disable-bias-linear     --attention-dropout 0.0     --init-method-std 0.01     --hidden-dropout 0.0     --position-embedding-type rope     --normalization RMSNorm     --use-fused-rmsnorm     --norm-epsilon 1e-6     --swiglu     --use-flash-attn     --use-fused-rotary-pos-emb     --use-rotary-position-embeddings     --use-fused-swiglu     --use-mc2     --no-masked-softmax-fusion     --attention-softmax-in-fp32     --min-lr 1.00e-7     --weight-decay 0.0     --lr-warmup-fraction 0.03     --clip-grad 1.0     --adam-beta1 0.9     --adam-beta2 0.999     --add-qkv-bias     --initial-loss-scale 4096     --no-gradient-accumulation-fusion     --use-distributed-optimizer     --bf16     --overlap-grad-reduce     --finetune     --vision-model-freeze     --vision-model-type intern_300m     --vision-downsample-ratio 0.5     --vision-projector-type mlp     --vision-projector-pre-norm     --vision-process-type dynamic     --vision-normalize-type imagenet     --vision-seq-length 1025     --image-token-length 256     --image-size 448     --prompt-format qwen2     --is-instruction-dataset     --max-num-frame 512     --max-fps 1     --add-class-token     --min-patch-grid 1     --max-patch-grid 12     --cross-dataset-joint '
++ DATA_ARGS='
+    --data-path /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml     --split 100,0,0     --data-seq-length 131072     --num-workers 8 '
++ CKPT_ARGS='
+    --load /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/     --vit-load /     --no-load-optim     --no-load-rng     --seed 424242     --save /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213// '
++ OUTPUT_ARGS='
+    --log-interval 1     --save-interval 100     --eval-interval 100     --eval-iters 0     --log-throughput     --distributed-timeout-minutes 120 '
++ torchrun --nproc_per_node 16 --nnodes 32 --node_rank 13 --master_addr train-1197954740059955456-93njiyzl9b0g-master-0.train-100034032793.svc.cluster.local --master_port 34567 /local_disk/cognitron_vl//lcvlm_modellink/pretrain_lcvlm.py --use-mcore-models --tensor-model-parallel-size 8 --pipeline-model-parallel-size 1 --context-parallel-size 2 --context-parallel-algo megatron_cp_algo --cp-attention-mask-type causal --use-cp-send-recv-overlap --no-create-attention-mask-in-dataloader --sparse-mode 4 --sequence-parallel --recompute-method block --recompute-granularity full --recompute-num-layers 48 --num-layers 48 --hidden-size 5120 --ffn-hidden-size 13824 --num-attention-heads 40 --group-query-attention --num-query-groups 8 --tokenizer-type PretrainedFromHF --tokenizer-name-or-path /data_4/models/Qwen/Qwen2.5-14B-Instruct/ --seq-length 131072 --max-position-embeddings 131072 --micro-batch-size 1 --global-batch-size 64 --make-vocab-size-divisible-by 1 --padded-vocab-size 152064 --rotary-base 1000000.0 --lr 5.00e-6 --train-iters 1000 --lr-decay-style cosine --untie-embeddings-and-output-weights --disable-bias-linear --attention-dropout 0.0 --init-method-std 0.01 --hidden-dropout 0.0 --position-embedding-type rope --normalization RMSNorm --use-fused-rmsnorm --norm-epsilon 1e-6 --swiglu --use-flash-attn --use-fused-rotary-pos-emb --use-rotary-position-embeddings --use-fused-swiglu --use-mc2 --no-masked-softmax-fusion --attention-softmax-in-fp32 --min-lr 1.00e-7 --weight-decay 0.0 --lr-warmup-fraction 0.03 --clip-grad 1.0 --adam-beta1 0.9 --adam-beta2 0.999 --add-qkv-bias --initial-loss-scale 4096 --no-gradient-accumulation-fusion --use-distributed-optimizer --bf16 --overlap-grad-reduce --finetune --vision-model-freeze --vision-model-type intern_300m --vision-downsample-ratio 0.5 --vision-projector-type mlp --vision-projector-pre-norm --vision-process-type dynamic --vision-normalize-type imagenet --vision-seq-length 1025 --image-token-length 256 --image-size 448 --prompt-format qwen2 --is-instruction-dataset --max-num-frame 512 --max-fps 1 --add-class-token --min-patch-grid 1 --max-patch-grid 12 --cross-dataset-joint --data-path /local_disk/cognitron_vl//configs/lcvlm_finetune_stage3.yaml --split 100,0,0 --data-seq-length 131072 --num-workers 8 --load /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/ --vit-load / --no-load-optim --no-load-rng --seed 424242 --save /data_2/output/LM/scripts/modellink/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1cp2_stage3.sh/20241127_204213// --log-interval 1 --save-interval 100 --eval-interval 100 --eval-iters 0 --log-throughput --distributed-timeout-minutes 120 --distributed-backend nccl
+[2024-11-27 12:44:09,876] torch.distributed.run: [WARNING] 
+[2024-11-27 12:44:09,876] torch.distributed.run: [WARNING] *****************************************
+[2024-11-27 12:44:09,876] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+[2024-11-27 12:44:09,876] torch.distributed.run: [WARNING] *****************************************
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Creating extension directory /root/.cache/torch_extensions/py38_cpu/adaptive_cp...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Emitting ninja build file /root/.cache/torch_extensions/py38_cpu/adaptive_cp/build.ninja...
+Building extension module adaptive_cp...
+Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+Using /root/.cache/torch_extensions/py38_cpu as PyTorch extensions root...
+[1/2] c++ -MMD -MF adaptive_cp.o.d -DTORCH_EXTENSION_NAME=adaptive_cp -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/usr/local/Ascend/ascend-toolkit/latest/include -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/include -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/third_party -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/acl -I/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/inc -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/TH -isystem /root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/include/THC -isystem /root/miniconda3/envs/py38/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=0 -fPIC -std=c++17 -fstack-protector-all -Wl,-z,relro,-z,now,-z,noexecstack -fPIC -pie -Wl,--disable-new-dtags,--rpath -s -O2 -c local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/ops/csrc/algorithm/adaptive_cp/adaptive_cp.cpp -o adaptive_cp.o 
+[2/2] c++ adaptive_cp.o -shared -L/usr/local/Ascend/ascend-toolkit/latest/lib64 -lascendcl -L/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch_npu/lib -ltorch_npu -L/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o adaptive_cp.so
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+Loading extension module adaptive_cp...
+local_disk/cognitron_vl/third_party/MindSpeed_core_r0.6.0/mindspeed/core/tensor_parallel/layers.py:30: UserWarning: failed to generate the npu_matmul_add_fp32
+  warnings.warn("failed to generate the npu_matmul_add_fp32")
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+/root/miniconda3/envs/py38/lib/python3.8/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 'libc10_cuda.so: cannot open shared object file: No such file or directory'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
+  warn(
+> compiling dataset index builder ...
+make: Entering directory 'local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0/megatron/core/datasets'
+make: Nothing to be done for 'default'.
+make: Leaving directory 'local_disk/cognitron_vl/third_party/Megatron-LM_core_r0.6.0/megatron/core/datasets'
+>>> done with dataset index builder. Compilation time: 0.078 seconds
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute Falsevision_projector_recompute False
+
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_projector_recompute False
+vision_model_freeze
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+vision_model_freeze
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+vision_model_freeze=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.vision_model_freeze
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+vision_model_freeze
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+vision_model_freeze=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+vision_model_freeze=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+vision_model_freeze=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.vision_model_freeze
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.vision_model_freeze=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+
+vision_model_freeze
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.vision_model_freeze=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+
+
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+vision_model_freeze=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+vision_model_freeze
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+vision_model_freeze
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+vision_model_freeze
+=> set param external_feature_model.vit.class_token torch.Size([1, 1, 1024]) requires grad to False.
+=> set param external_feature_model.vit.conv1.weight torch.Size([1024, 3, 14, 14]) requires grad to False.
+=> set param external_feature_model.vit.conv1.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.position_embeddings.weight torch.Size([1025, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.0.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.1.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.2.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.3.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.4.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.5.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.6.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.7.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.8.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.9.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.10.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.11.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.12.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.13.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.14.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.15.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.16.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.17.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.18.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.19.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.20.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.21.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.22.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls1 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.ls2 torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.input_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.weight torch.Size([1024, 128]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_proj.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.weight torch.Size([384, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.self_attention.linear_qkv.bias torch.Size([384]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.weight torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.pre_mlp_layernorm.bias torch.Size([1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.weight torch.Size([512, 1024]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc1.bias torch.Size([512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.weight torch.Size([1024, 512]) requires grad to False.
+=> set param external_feature_model.vit.decoder.layers.23.mlp.linear_fc2.bias torch.Size([1024]) requires grad to False.
+model GPTVLModel(
+  (external_feature_model): MegatronVisionModel(
+    (vit): InternViTModel(
+      (conv1): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14))
+      (position_embeddings): Embedding(1025, 1024)
+      (decoder): TransformerBlock(
+        (layers): ModuleList(
+          (0-23): 24 x InternViTTransformerLayer(
+            (input_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (self_attention): SelfAttention(
+              (core_attention): DotProductAttention(
+                (scale_mask_softmax): FusedScaleMaskSoftmax()
+                (attention_dropout): Dropout(p=0.0, inplace=False)
+              )
+              (linear_proj): RowParallelLinear()
+              (linear_qkv): ColumnParallelLinear()
+            )
+            (self_attn_bda): IdentityFuncOp()
+            (pre_cross_attn_layernorm): IdentityOp()
+            (cross_attention): IdentityOp()
+            (cross_attn_bda): IdentityFuncOp()
+            (pre_mlp_layernorm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True)
+            (mlp): MLP(
+              (linear_fc1): ColumnParallelLinear()
+              (linear_fc2): RowParallelLinear()
+            )
+            (mlp_bda): IdentityFuncOp()
+          )
+        )
+      )
+    )
+    (vision_projection): MultimodalProjector(
+      (encoder): MLP(
+        (linear_fc1): ColumnParallelLinear()
+        (linear_fc2): RowParallelLinear()
+      )
+    )
+    (pre_proj_layernorm): LayerNorm((4096,), eps=1e-05, elementwise_affine=True)
+  )
+  (embedding): LanguageModelEmbedding(
+    (word_embeddings): VocabParallelEmbedding()
+    (embedding_dropout): Dropout(p=0.0, inplace=False)
+  )
+  (rotary_pos_emb): RotaryEmbedding()
+  (decoder): TransformerBlock(
+    (layers): ModuleList(
+      (0-47): 48 x TransformerLayer(
+        (input_layernorm): RMSNorm()
+        (self_attention): SelfAttention(
+          (core_attention): DotProductAttention(
+            (scale_mask_softmax): FusedScaleMaskSoftmax()
+            (attention_dropout): Dropout(p=0.0, inplace=False)
+          )
+          (linear_proj): RowParallelLinear()
+          (linear_qkv): ColumnParallelLinear()
+          (q_layernorm): IdentityOp()
+          (k_layernorm): IdentityOp()
+        )
+        (pre_cross_attn_layernorm): IdentityOp()
+        (cross_attention): IdentityOp()
+        (cross_attn_bda): IdentityFuncOp()
+        (pre_mlp_layernorm): RMSNorm()
+        (mlp): MLP(
+          (linear_fc1): ColumnParallelLinear()
+          (linear_fc2): RowParallelLinear()
+        )
+      )
+    )
+    (final_layernorm): RMSNorm()
+  )
+  (output_layer): ColumnParallelLinear()
+)
+_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.external_feature_model.vision_projection.encoder.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.external_feature_model.pre_proj_layernorm.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.embedding.word_embeddings.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.0.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.1.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.2.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.3.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.4.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.pre_mlp_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.mlp.linear_fc1.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.5.mlp.linear_fc2.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.6.input_layernorm.weight key (0.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.6.self_attention.linear_proj.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.6.self_attention.linear_qkv.weight key (1.0, 1.0, False, False)
+_get_param_groups name module.module.decoder.layers.6.self_attention.linear_qkv.bias key (0.0, 1.0, False, False)
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+_load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_04/model_optim_rng.pt
+_load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_07/model_optim_rng.pt
+_load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_04/model_optim_rng.pt
+_load_base_checkpoint _load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_06/model_optim_rng.pt
+/data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_03/model_optim_rng.pt
+_load_base_checkpoint /data_2/output/LM/lcvlm_modellink/scripts/qwen25/finetune_qwen25_14b_intern_300m_ptd_tp8pp1_stage2.sh/20241014_131952/iter_0005000/mp_rank_07/model_optim_rng.pt
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+load_checkpoint iteration 0
+load_checkpoint release False
+strict True
+> rank 220 does not create GPT datasets ...> rank 215 does not create GPT datasets ...> rank 211 does not create GPT datasets ...> rank 208 is creating GPT datasets ...
+
+
+
+> rank 217 does not create GPT datasets ...
+> rank 223 does not create GPT datasets ...
+> rank 218 does not create GPT datasets ...> rank 219 does not create GPT datasets ...
+
+> rank 212 does not create GPT datasets ...
+> rank 216 is creating GPT datasets ...
+> rank 221 does not create GPT datasets ...
+> rank 222 does not create GPT datasets ...
+> rank 210 does not create GPT datasets ...
+> rank 213 does not create GPT datasets ...
+> rank 214 does not create GPT datasets ...
+> rank 209 does not create GPT datasets ...
+target_ratios [(1, 1), (1, 2), (2, 1), (3, 1), (1, 3), (2, 2), (4, 1), (1, 4), (5, 1), (1, 5), (1, 6), (6, 1), (3, 2), (2, 3), (7, 1), (1, 7), (4, 2), (2, 4), (1, 8), (8, 1), (1, 9), (3, 3), (9, 1), (2, 5), (5, 2), (10, 1), (1, 10), (11, 1), (1, 11), (12, 1), (3, 4), (4, 3), (1, 12), (6, 2), (2, 6)]
+possible_resolutions [[448, 448], [448, 896], [896, 448], [1344, 448], [448, 1344], [896, 896], [1792, 448], [448, 1792], [2240, 448], [448, 2240], [448, 2688], [2688, 448], [1344, 896], [896, 1344], [3136, 448], [448, 3136], [1792, 896], [896, 1792], [448, 3584], [3584, 448], [448, 4032], [1344, 1344], [4032, 448], [896, 2240], [2240, 896], [4480, 448], [448, 4480], [4928, 448], [448, 4928], [5376, 448], [1344, 1792], [1792, 1344], [448, 5376], [2688, 896], [896, 2688]]
+target_ratios [(1, 1), (1, 2), (2, 1), (3, 1), (1, 3), (2, 2), (4, 1), (1, 4), (5, 1), (1, 5), (1, 6), (6, 1), (3, 2), (2, 3), (7, 1), (1, 7), (4, 2), (2, 4), (1, 8), (8, 1), (1, 9), (3, 3), (9, 1), (2, 5), (5, 2), (10, 1), (1, 10), (11, 1), (1, 11), (12, 1), (3, 4), (4, 3), (1, 12), (6, 2), (2, 6)]
+possible_resolutions [[448, 448], [448, 896], [896, 448], [1344, 448], [448, 1344], [896, 896], [1792, 448], [448, 1792], [2240, 448], [448, 2240], [448, 2688], [2688, 448], [1344, 896], [896, 1344], [3136, 448], [448, 3136], [1792, 896], [896, 1792], [448, 3584], [3584, 448], [448, 4032], [1344, 1344], [4032, 448], [896, 2240], [2240, 896], [4480, 448], [448, 4480], [4928, 448], [448, 4928], [5376, 448], [1344, 1792], [1792, 1344], [448, 5376], [2688, 896], [896, 2688]]
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+................................................................................................[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
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+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
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+[h264 @ 0x55603849ea80] mmco: unref short failure
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+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2c048600] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2c048600] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
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+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2c048600] mmco: unref short failure
+[h264 @ 0x561f2c048600] mmco: unref short failure
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+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
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+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x556032c4e8c0] mmco: unref short failure
+[h264 @ 0x561f2d221e00] mmco: unref short failure
+[h264 @ 0x55603211efc0] mmco: unref short failure
+[h264 @ 0x561f2d614f40] mmco: unref short failure
+[h264 @ 0x5560360bcf80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x55602f98e9c0] mmco: unref short failure
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+[h264 @ 0x561f2d7cbd40] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
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+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x561f2db18e80] mmco: unref short failure
+[h264 @ 0x561f2db18e80] mmco: unref short failure
+[h264 @ 0x561f2db18e80] mmco: unref short failure
+[h264 @ 0x561f2db18e80] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f2cac7380] mmco: unref short failure
+[h264 @ 0x5560302c7400] mmco: unref short failure
+[h264 @ 0x561f2c7ca380] mmco: unref short failure
+[h264 @ 0x556036f00c80] mmco: unref short failure
+[h264 @ 0x556032a14500] mmco: unref short failure
+[h264 @ 0x556032a14500] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x561f2c767800] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x561f2b4ba940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55602f735280] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55602ff477c0] mmco: unref short failure
+[h264 @ 0x55602ff477c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55602ff477c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55602ff477c0] mmco: unref short failure
+[h264 @ 0x55602ff477c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556030db0780] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55602fc640c0] mmco: unref short failure
+[h264 @ 0x561f2c767800] mmco: unref short failure
+[h264 @ 0x561f2c767800] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2c767800] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x5560303ee440] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x55602ff78200] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x55602ff78200] mmco: unref short failure
+[h264 @ 0x55602ff78200] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556037757800] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2b634880] mmco: unref short failure
+[h264 @ 0x561f2b634880] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] Missing reference picture, default is 65546
+[h264 @ 0x561f2c472d40] Missing reference picture, default is 65546
+[h264 @ 0x55602fe6a6c0] Missing reference picture, default is 65546
+[h264 @ 0x55602fe6a6c0] Missing reference picture, default is 65546
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x561f2e07c800] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2d643e80] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x556032f3acc0] mmco: unref short failure
+[h264 @ 0x55602fa4f640] mmco: unref short failure
+[h264 @ 0x55602fa4f640] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x55602fa4f640] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2c3e3fc0] mmco: unref short failure
+[h264 @ 0x561f2c3e3fc0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556038803e80] mmco: unref short failure
+[h264 @ 0x556038803e80] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c472d40] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556031612080] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x55602fc640c0] mmco: unref short failure
+[h264 @ 0x55602fc640c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fc640c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f2ae41700] mmco: unref short failure
+[h264 @ 0x561f2ae41700] mmco: unref short failure
+[h264 @ 0x55602fc640c0] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556031a79940] mmco: unref short failure
+[h264 @ 0x556031a79940] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x5560305c4e00] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x55603081ed00] mmco: unref short failure
+[h264 @ 0x561f2db00380] mmco: unref short failure
+[h264 @ 0x556030eafd80] mmco: unref short failure
+[h264 @ 0x556030eafd80] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x556030eafd80] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x556030eafd80] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x561f2cb6b440] mmco: unref short failure
+[h264 @ 0x55603192a740] mmco: unref short failure
+[h264 @ 0x55603192a740] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556030bfc980] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x556030bfc980] mmco: unref short failure
+[h264 @ 0x556030bfc980] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2c7ca380] mmco: unref short failure
+[h264 @ 0x561f2c7ca380] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x561f2bad5040] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
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+[h264 @ 0x556031612080] mmco: unref short failure
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+[h264 @ 0x561f2cb6b440] mmco: unref short failure
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+[h264 @ 0x561f2cde8900] mmco: unref short failure
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+[h264 @ 0x556030745bc0] mmco: unref short failure
+[h264 @ 0x5560318f3b40] mmco: unref short failure
+[h264 @ 0x5560318f3b40] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x561f2b96ddc0] mmco: unref short failure
+[h264 @ 0x561f2b96ddc0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
+[h264 @ 0x561f2bc19f80] mmco: unref short failure
+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
+[h264 @ 0x561f2bc19f80] mmco: unref short failure
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+[h264 @ 0x561f2bc19f80] mmco: unref short failure
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+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
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+[h264 @ 0x561f2bc19f80] mmco: unref short failure
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+[h264 @ 0x556031d328c0] mmco: unref short failure
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+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x561f2bd67d80] mmco: unref short failure
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+[h264 @ 0x561f2c623580] mmco: unref short failure
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+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x556031676840] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x55602f98e9c0] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x556030e6f800] mmco: unref short failure
+[h264 @ 0x556030e6f800] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x556031676840] mmco: unref short failure
+[h264 @ 0x556031676840] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2ce5be80] mmco: unref short failure
+[h264 @ 0x556034c4ee40] mmco: unref short failure
+[h264 @ 0x561f2ce5be80] mmco: unref short failure
+[h264 @ 0x556034c4ee40] mmco: unref short failure
+[h264 @ 0x561f2ce5be80] Missing reference picture, default is 65526
+[h264 @ 0x561f2ce5be80] mmco: unref short failure
+[h264 @ 0x561f2ce5be80] mmco: unref short failure
+[h264 @ 0x556034c4ee40] Missing reference picture, default is 65526
+[h264 @ 0x556034c4ee40] mmco: unref short failure
+[h264 @ 0x556034c4ee40] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
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+[h264 @ 0x561f2dad9200] mmco: unref short failure
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+[h264 @ 0x55603244b440] mmco: unref short failure
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+[h264 @ 0x556031676840] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x556030963f40] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
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+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
+[h264 @ 0x55602f8a4bc0] mmco: unref short failure
+[h264 @ 0x5560323c26c0] mmco: unref short failure
+[h264 @ 0x5560323c26c0] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cde8900] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x561f2cef9940] mmco: unref short failure
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+[h264 @ 0x561f2b634880] mmco: unref short failure
+[h264 @ 0x561f2b634880] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x55602eebc300] mmco: unref short failure
+[h264 @ 0x55602eebc300] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2d2eacc0] mmco: unref short failure
+[h264 @ 0x556035eee1c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x5560313c6b80] mmco: unref short failure
+[h264 @ 0x5560313c6b80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x55602f7fca00] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x55602f7fca00] mmco: unref short failure
+[h264 @ 0x55602f7fca00] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x55602f7fca00] mmco: unref short failure
+[h264 @ 0x55602f7fca00] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x55602fe6a6c0] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x556030c3c340] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556030725e40] mmco: unref short failure
+[h264 @ 0x556030725e40] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x55602f3f35c0] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x55602f98e9c0] mmco: unref short failure
+[h264 @ 0x55602f98e9c0] mmco: unref short failure
+[h264 @ 0x561f2b634880] mmco: unref short failure
+[h264 @ 0x561f2b634880] mmco: unref short failure
+processed_samples 500 unjoint_samples 500 joint_samples 32 [72216, 119837]
+processed_samples 500 unjoint_samples 500 joint_samples 32 [72216, 119837]
+processed_samples 500 unjoint_samples 500 joint_samples 35 [114375, 38233]
+processed_samples 500 unjoint_samples 500 joint_samples 35 [114375, 38233]
+processed_samples 500 unjoint_samples 500 joint_samples 35 [25278, 113458]
+processed_samples 500 unjoint_samples 500 joint_samples 35 [25278, 113458]
+processed_samples 500 unjoint_samples 500 joint_samples 36 [117702, 83156]
+processed_samples 500 unjoint_samples 500 joint_samples 32 [110600, 73091]
+processed_samples 500 unjoint_samples 500 joint_samples 33 [81526, 118464]
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+processed_samples 500 unjoint_samples 500 joint_samples 32 [110600, 73091]
+processed_samples 500 unjoint_samples 500 joint_samples 36 [117702, 83156]
+processed_samples 500 unjoint_samples 500 joint_samples 33 [81526, 118464]
+[h264 @ 0x55603182b200] mmco: unref short failure
+[h264 @ 0x55603182b200] mmco: unref short failure
+[h264 @ 0x55603182b200] mmco: unref short failure
+processed_samples 500 unjoint_samples 500 joint_samples 29 [58410, 112259]
+processed_samples 500 unjoint_samples 500 joint_samples 29 [58410, 112259]
+processed_samples 500 unjoint_samples 500 joint_samples 36 [119306, 124046]
+processed_samples 500 unjoint_samples 500 joint_samples 36 [119306, 124046]
+[h264 @ 0x55602f47ee40] mmco: unref short failure
+[h264 @ 0x55602f47ee40] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+[h264 @ 0x556030514240] mmco: unref short failure
+Token indices sequence length is longer than the specified maximum sequence length for this model (141067 > 131072). Running this sequence through the model will result in indexing errors
+Token indices sequence length is longer than the specified maximum sequence length for this model (141067 > 131072). Running this sequence through the model will result in indexing errors
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
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+[h264 @ 0x556030494700] mmco: unref short failure
+[h264 @ 0x556030494700] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556030940d40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556030940d40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556030940d40] mmco: unref short failure
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+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556030940d40] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x55603125b940] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x55603125b940] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x5560302b0740] mmco: unref short failure
+[h264 @ 0x561f2b4ae580] mmco: unref short failure
+[h264 @ 0x55602f47ee40] mmco: unref short failure
+[h264 @ 0x55602f47ee40] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2bc0d640] mmco: unref short failure
+[h264 @ 0x561f2bc0d640] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x561f2bc0d640] mmco: unref short failure
+[h264 @ 0x556030936840] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x556030e6eb80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x5560323d0880] mmco: unref short failure
+[h264 @ 0x5560323d0880] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556030db2040] mmco: unref short failure
+[h264 @ 0x556030db2040] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x556033668340] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x561f33963640] mmco: unref short failure
+[h264 @ 0x556030db2040] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
+[h264 @ 0x55603053e080] mmco: unref short failure
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+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x5560314fc940] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
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+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+processed_samples 1000 unjoint_samples 1000 joint_samples 71 [118336, 118161]
+processed_samples 1000 unjoint_samples 1000 joint_samples 71 [118336, 118161]
+processed_samples 1000 unjoint_samples 1000 joint_samples 68 [114655, 85468]
+processed_samples 1000 unjoint_samples 1000 joint_samples 68 [114655, 85468]
+processed_samples 1000 unjoint_samples 1000 joint_samples 71 [115035, 121014]
+processed_samples 1000 unjoint_samples 1000 joint_samples 71 [115035, 121014]
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+[h264 @ 0x561f2c623580] mmco: unref short failure
+[h264 @ 0x55602f64e040] mmco: unref short failure
+[h264 @ 0x55602f64e040] mmco: unref short failure
+processed_samples 1000 unjoint_samples 1000 joint_samples 65 [122564, 117794]
+processed_samples 1000 unjoint_samples 1000 joint_samples 65 [122564, 117794]
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+[h264 @ 0x561f2dad9200] mmco: unref short failure
+processed_samples 1000 unjoint_samples 1000 joint_samples 62 [114229, 115318]
+processed_samples 1000 unjoint_samples 1000 joint_samples 62 [114229, 115318]
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+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+processed_samples 1000 unjoint_samples 1000 joint_samples 75 [119111, 74912]
+processed_samples 1000 unjoint_samples 1000 joint_samples 75 [119111, 74912]
+processed_samples 1002 unjoint_samples 1000 joint_samples 70 [84641, 127407]
+processed_samples 1002 unjoint_samples 1000 joint_samples 70 [84641, 127407]
+processed_samples 1000 unjoint_samples 1000 joint_samples 64 [103779, 124476]
+processed_samples 1000 unjoint_samples 1000 joint_samples 64 [103779, 124476]
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+[h264 @ 0x556034c4ee40] mmco: unref short failure
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+[h264 @ 0x55602f4a2f00] mmco: unref short failure
+[h264 @ 0x55602f4a2f00] mmco: unref short failure
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+[h264 @ 0x561f31f46cc0] mmco: unref short failure
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+[h264 @ 0x55603211efc0] mmco: unref short failure
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+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x556034558200] mmco: unref short failure
+[h264 @ 0x561f2b5a2a40] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x55602f3bff80] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2c5d7300] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x5560372404c0] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x561f2db00380] mmco: unref short failure
+[h264 @ 0x561f2db00380] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x55603244b440] mmco: unref short failure
+[h264 @ 0x561f2b2f6d40] mmco: unref short failure
+[h264 @ 0x55602fbf71c0] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x55602f6a2180] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x561f2bc67680] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[h264 @ 0x556030e48e80] mmco: unref short failure
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x55602f98e9c0] mmco: unref short failure
+[h264 @ 0x55602f98e9c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e5042c0] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x561f2d620ec0] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x5560301e6a80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x55602fb623c0] mmco: unref short failure
+[h264 @ 0x561f31f46cc0] mmco: unref short failure
+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x561f31f46cc0] mmco: unref short failure
+[h264 @ 0x55603182a3c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x561f2e347540] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x556030eb5280] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556030eb5280] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556032431000] mmco: unref short failure
+[h264 @ 0x556032431000] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x556031d328c0] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x561f2e501f80] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55602fe864c0] mmco: unref short failure
+[h264 @ 0x55602fe864c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2bcadbc0] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x561f315422c0] mmco: unref short failure
+[h264 @ 0x561f315422c0] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2db00380] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x556030304980] mmco: unref short failure
+[h264 @ 0x561f315422c0] mmco: unref short failure
+[h264 @ 0x561f315422c0] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+Token indices sequence length is longer than the specified maximum sequence length for this model (153233 > 131072). Running this sequence through the model will result in indexing errors
+Token indices sequence length is longer than the specified maximum sequence length for this model (153233 > 131072). Running this sequence through the model will result in indexing errors
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x55603023b4c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x55603023b4c0] mmco: unref short failure
+[h264 @ 0x55603023b4c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x55603023b4c0] mmco: unref short failure
+[h264 @ 0x55603023b4c0] mmco: unref short failure
+[h264 @ 0x556030c827c0] mmco: unref short failure
+[h264 @ 0x556030c827c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
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+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
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+[h264 @ 0x556030c827c0] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2d6453c0] mmco: unref short failure
+[h264 @ 0x561f2d6453c0] mmco: unref short failure
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+[h264 @ 0x561f2da91380] mmco: unref short failure
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+[h264 @ 0x556030c827c0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556030c827c0] mmco: unref short failure
+[h264 @ 0x556030c827c0] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2d6453c0] mmco: unref short failure
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+[h264 @ 0x561f2da91380] mmco: unref short failure
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+[h264 @ 0x556030c827c0] mmco: unref short failure
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+[h264 @ 0x561f2d6453c0] mmco: unref short failure
+[h264 @ 0x561f2d6453c0] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2d2eacc0] mmco: unref short failure
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+[h264 @ 0x55602ff477c0] mmco: unref short failure
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+[h264 @ 0x561f2ba86380] mmco: unref short failure
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+[h264 @ 0x561f2ba86380] mmco: unref short failure
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+[h264 @ 0x5560327fb0c0] mmco: unref short failure
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+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
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+[h264 @ 0x561f2d221e00] mmco: unref short failure
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+[h264 @ 0x55602fe33780] mmco: unref short failure
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+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x5560327fb0c0] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
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+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x55603849ea80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
+[h264 @ 0x561f2cc03a80] mmco: unref short failure
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+[h264 @ 0x561f2d4afd00] mmco: unref short failure
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+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x561f2d4afd00] mmco: unref short failure
+[h264 @ 0x561f2d4afd00] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
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+[h264 @ 0x5560372404c0] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
+[h264 @ 0x561f30689600] mmco: unref short failure
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+[h264 @ 0x5560372404c0] mmco: unref short failure
+[h264 @ 0x55602fe33780] mmco: unref short failure
+[h264 @ 0x561f2ba86380] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x5560314b6300] mmco: unref short failure
+[h264 @ 0x561f2cc6c4c0] mmco: unref short failure
+[h264 @ 0x561f2cc6c4c0] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
+[h264 @ 0x561f2d675080] mmco: unref short failure
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+[h264 @ 0x55602fbfcac0] mmco: unref short failure
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+[h264 @ 0x55602fbfcac0] mmco: unref short failure
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+Token indices sequence length is longer than the specified maximum sequence length for this model (132142 > 131072). Running this sequence through the model will result in indexing errors
+Token indices sequence length is longer than the specified maximum sequence length for this model (132142 > 131072). Running this sequence through the model will result in indexing errors
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+[h264 @ 0x561f2bdd2f40] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x561f2dad9200] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
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+[h264 @ 0x5560312a6f40] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x561f2b48cb40] mmco: unref short failure
+[h264 @ 0x556032991200] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x556032991200] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x561f2b480440] mmco: unref short failure
+[h264 @ 0x556032991200] mmco: unref short failure
+[h264 @ 0x556032991200] mmco: unref short failure
+[h264 @ 0x556032991200] [h264 @ 0x561f2b480440] mmco: unref short failure
+mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x55602fd0bb40] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
+[h264 @ 0x561f2cc6c4c0] mmco: unref short failure
+[h264 @ 0x561f2cc6c4c0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x556034b96ec0] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
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+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x556037bcaa00] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556037bcaa00] mmco: unref short failure
+[h264 @ 0x556037bcaa00] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x556037bcaa00] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x561f2da91380] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x556031f9f140] mmco: unref short failure
+[h264 @ 0x556032118b00] mmco: unref short failure
+[h264 @ 0x561f2f0c75c0] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x561f2cc6c4c0] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+Token indices sequence length is longer than the specified maximum sequence length for this model (144468 > 131072). Running this sequence through the model will result in indexing errors
+Token indices sequence length is longer than the specified maximum sequence length for this model (144468 > 131072). Running this sequence through the model will result in indexing errors
+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
+[h264 @ 0x55603054d8c0] mmco: unref short failure
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+[h264 @ 0x561f2c58f3c0] mmco: unref short failure
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+[h264 @ 0x556031d328c0] mmco: unref short failure
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+[h264 @ 0x561f2db00380] mmco: unref short failure
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+[h264 @ 0x561f2e5042c0] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x55603134b7c0] mmco: unref short failure
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+[h264 @ 0x561f2b34c300] mmco: unref short failure
+[h264 @ 0x561f2b34c300] mmco: unref short failure
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+[h264 @ 0x5560360b70c0] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x556034b96ec0] mmco: unref short failure
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+[h264 @ 0x556032118b00] mmco: unref short failure
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+[h264 @ 0x556032118b00] mmco: unref short failure
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+[h264 @ 0x556032118b00] mmco: unref short failure
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+[h264 @ 0x556032118b00] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2b4ba940] mmco: unref short failure
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+[h264 @ 0x55603058f780] mmco: unref short failure
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+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2bb55d80] mmco: unref short failure
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+[h264 @ 0x556033b01c40] mmco: unref short failure
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+[h264 @ 0x561f2e188480] mmco: unref short failure
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+[h264 @ 0x561f31e3cac0] mmco: unref short failure
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+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f31e3cac0] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2bd67d80] mmco: unref short failure
+[h264 @ 0x561f2bd67d80] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x55602fbfcac0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x561f2c63c3c0] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x561f2d99c900] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x55603036af80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x561f2bbd0200] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x5560321a8800] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x561f2ea33780] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x556034005ac0] mmco: unref short failure
+[h264 @ 0x561f2bd67d80] mmco: unref short failure
+[h264 @ 0x561f2bd67d80] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x5560302494c0] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[h264 @ 0x561f2bb55d80] mmco: unref short failure
+[h264 @ 0x556033b01c40] mmco: unref short failure
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+
+
+
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'
+[Errno 108] Cannot send after transport endpoint shutdown: 'data_2'