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Browse files- text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml +7 -5
- text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml +2 -1
- text_classification/lvwerra/distilbert-imdb/benchmark_report.json +46 -46
- text_classification/lvwerra/distilbert-imdb/cli.log +113 -423
- text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json +11 -11
- text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json +11 -11
- text_generation/facebook/opt-125m/.hydra/config.yaml +96 -0
- text_generation/facebook/opt-125m/.hydra/hydra.yaml +175 -0
- text_generation/facebook/opt-125m/.hydra/overrides.yaml +2 -0
- text_generation/facebook/opt-125m/benchmark_report.json +203 -0
- text_generation/facebook/opt-125m/cli.log +188 -0
- text_generation/facebook/opt-125m/experiment_config.json +110 -0
- text_generation/facebook/opt-125m/generate_codecarbon.json +33 -0
- text_generation/facebook/opt-125m/prefill_codecarbon.json +33 -0
- text_generation/facebook/opt-125m/preprocess_codecarbon.json +33 -0
text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml
CHANGED
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hydra:
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run:
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-
dir:
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sweep:
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dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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subdir: ${hydra.job.num}
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@@ -118,13 +118,15 @@ hydra:
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output_subdir: .hydra
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overrides:
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hydra:
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- hydra.mode=RUN
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task:
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job:
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name: cli
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chdir: true
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override_dirname:
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id: ???
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num: ???
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config_name: text_classification
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@@ -156,7 +158,7 @@ hydra:
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- path: ''
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schema: structured
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provider: schema
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output_dir: /
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choices:
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benchmark: energy_star
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launcher: process
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hydra:
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run:
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dir: ./runs/text_classification/lvwerra/distilbert-imdb/
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sweep:
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dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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subdir: ${hydra.job.num}
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output_subdir: .hydra
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overrides:
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hydra:
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- hydra.run.dir=./runs/text_classification/lvwerra/distilbert-imdb/
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- hydra.mode=RUN
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task:
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- backend.model=lvwerra/distilbert-imdb
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- backend.processor=lvwerra/distilbert-imdb
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job:
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name: cli
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chdir: true
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override_dirname: backend.model=lvwerra/distilbert-imdb,backend.processor=lvwerra/distilbert-imdb
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id: ???
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num: ???
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config_name: text_classification
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- path: ''
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schema: structured
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provider: schema
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output_dir: /runs/text_classification/lvwerra/distilbert-imdb
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choices:
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benchmark: energy_star
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launcher: process
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text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml
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- backend.model=lvwerra/distilbert-imdb
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- backend.processor=lvwerra/distilbert-imdb
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text_classification/lvwerra/distilbert-imdb/benchmark_report.json
CHANGED
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"throughput": null,
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"energy": {
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"efficiency": {
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"value":
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"measures": [
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"unit": "kWh",
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text_classification/lvwerra/distilbert-imdb/cli.log
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[2024-10-02 02:02:30,464][launcher][INFO] - ََAllocating process launcher
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[2024-10-02 02:02:30,474][device-isolation][INFO] - + Launched device(s) isolation process 73
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[PROC-0][2024-10-02 02:02:33,041][datasets][INFO] - PyTorch version 2.4.0 available.
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[PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading no weights AutoModel
|
131 |
-
[PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading model directly on device: cuda
|
132 |
-
[PROC-0][2024-10-02 02:02:34,531][pytorch][INFO] - + Turning on model's eval mode
|
133 |
-
[PROC-0][2024-10-02 02:02:34,537][benchmark][INFO] - Allocating energy_star benchmark
|
134 |
-
[PROC-0][2024-10-02 02:02:34,537][energy_star][INFO] - + Loading raw dataset
|
135 |
-
[PROC-0][2024-10-02 02:02:35,106][energy_star][INFO] - + Initializing Inference report
|
136 |
-
[PROC-0][2024-10-02 02:02:35,106][energy][INFO] - + Tracking GPU energy on devices [0]
|
137 |
-
[PROC-0][2024-10-02 02:02:39,282][energy_star][INFO] - + Preprocessing dataset
|
138 |
-
[PROC-0][2024-10-02 02:02:39,711][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
139 |
-
[PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Preparing backend for Inference
|
140 |
-
[PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Initialising dataloader
|
141 |
-
[PROC-0][2024-10-02 02:02:39,714][energy_star][INFO] - + Warming up backend for Inference
|
142 |
-
[2024-10-02 02:14:00,059][launcher][INFO] - ََAllocating process launcher
|
143 |
-
[2024-10-02 02:14:00,059][process][INFO] - + Setting multiprocessing start method to spawn.
|
144 |
-
[2024-10-02 02:14:00,068][device-isolation][INFO] - + Launched device(s) isolation process 73
|
145 |
-
[2024-10-02 02:14:00,068][device-isolation][INFO] - + Isolating device(s) [0]
|
146 |
-
[2024-10-02 02:14:00,074][process][INFO] - + Launched benchmark in isolated process 74.
|
147 |
-
[PROC-0][2024-10-02 02:14:02,696][datasets][INFO] - PyTorch version 2.4.0 available.
|
148 |
-
[PROC-0][2024-10-02 02:14:03,668][backend][INFO] - َAllocating pytorch backend
|
149 |
-
[PROC-0][2024-10-02 02:14:03,668][backend][INFO] - + Setting random seed to 42
|
150 |
-
[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
|
151 |
-
[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating backend temporary directory
|
152 |
-
[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Loading model with random weights
|
153 |
-
[PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating no weights model
|
154 |
-
[PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model directory
|
155 |
-
[PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model state dict
|
156 |
-
[PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model safetensors
|
157 |
-
[PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model pretrained config
|
158 |
-
[PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading no weights AutoModel
|
159 |
-
[PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading model directly on device: cuda
|
160 |
-
[PROC-0][2024-10-02 02:14:04,291][pytorch][INFO] - + Turning on model's eval mode
|
161 |
-
[PROC-0][2024-10-02 02:14:04,297][benchmark][INFO] - Allocating energy_star benchmark
|
162 |
-
[PROC-0][2024-10-02 02:14:04,298][energy_star][INFO] - + Loading raw dataset
|
163 |
-
[PROC-0][2024-10-02 02:14:04,945][energy_star][INFO] - + Initializing Inference report
|
164 |
-
[PROC-0][2024-10-02 02:14:04,946][energy][INFO] - + Tracking GPU energy on devices [0]
|
165 |
-
[PROC-0][2024-10-02 02:14:09,145][energy_star][INFO] - + Preprocessing dataset
|
166 |
-
[PROC-0][2024-10-02 02:14:09,571][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
167 |
-
[PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Preparing backend for Inference
|
168 |
-
[PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Initialising dataloader
|
169 |
-
[PROC-0][2024-10-02 02:14:09,574][energy_star][INFO] - + Warming up backend for Inference
|
170 |
-
[PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
|
171 |
-
[PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Iteration 1/10
|
172 |
-
[PROC-0][2024-10-02 02:14:14,347][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
173 |
-
[PROC-0][2024-10-02 02:14:14,349][energy_star][INFO] - + Iteration 2/10
|
174 |
-
[PROC-0][2024-10-02 02:14:18,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
175 |
-
[PROC-0][2024-10-02 02:14:18,447][energy_star][INFO] - + Iteration 3/10
|
176 |
-
[PROC-0][2024-10-02 02:14:22,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
177 |
-
[PROC-0][2024-10-02 02:14:22,448][energy_star][INFO] - + Iteration 4/10
|
178 |
-
[PROC-0][2024-10-02 02:14:26,447][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
179 |
-
[PROC-0][2024-10-02 02:14:26,449][energy_star][INFO] - + Iteration 5/10
|
180 |
-
[PROC-0][2024-10-02 02:14:30,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
181 |
-
[PROC-0][2024-10-02 02:14:30,449][energy_star][INFO] - + Iteration 6/10
|
182 |
-
[PROC-0][2024-10-02 02:14:34,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
183 |
-
[PROC-0][2024-10-02 02:14:34,446][energy_star][INFO] - + Iteration 7/10
|
184 |
-
[PROC-0][2024-10-02 02:14:38,476][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
185 |
-
[PROC-0][2024-10-02 02:14:38,478][energy_star][INFO] - + Iteration 8/10
|
186 |
-
[PROC-0][2024-10-02 02:14:42,466][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
187 |
-
[PROC-0][2024-10-02 02:14:42,468][energy_star][INFO] - + Iteration 9/10
|
188 |
-
[PROC-0][2024-10-02 02:14:46,461][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
189 |
-
[PROC-0][2024-10-02 02:14:46,463][energy_star][INFO] - + Iteration 10/10
|
190 |
-
[PROC-0][2024-10-02 02:14:50,459][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
191 |
-
[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + forward energy consumption:
|
192 |
-
[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + CPU: 0.000043 (kWh)
|
193 |
-
[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + GPU: 0.000167 (kWh)
|
194 |
-
[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + RAM: 0.000000 (kWh)
|
195 |
-
[PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + total: 0.000210 (kWh)
|
196 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_1 energy consumption:
|
197 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000049 (kWh)
|
198 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000180 (kWh)
|
199 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
|
200 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000230 (kWh)
|
201 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_2 energy consumption:
|
202 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000048 (kWh)
|
203 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
|
204 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
|
205 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000233 (kWh)
|
206 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_3 energy consumption:
|
207 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000047 (kWh)
|
208 |
-
[PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
|
209 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
|
210 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000231 (kWh)
|
211 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_4 energy consumption:
|
212 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
|
213 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
|
214 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
|
215 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
|
216 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_5 energy consumption:
|
217 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
|
218 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
|
219 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
|
220 |
-
[PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
|
221 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_6 energy consumption:
|
222 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
|
223 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000186 (kWh)
|
224 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
|
225 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000234 (kWh)
|
226 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_7 energy consumption:
|
227 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000000 (kWh)
|
228 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000000 (kWh)
|
229 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
|
230 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000000 (kWh)
|
231 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_8 energy consumption:
|
232 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
|
233 |
-
[PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000188 (kWh)
|
234 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
|
235 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
|
236 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_9 energy consumption:
|
237 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
|
238 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
|
239 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
|
240 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
|
241 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_10 energy consumption:
|
242 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
|
243 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
|
244 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
|
245 |
-
[PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
|
246 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy consumption:
|
247 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + CPU: 0.000005 (kWh)
|
248 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + GPU: 0.000008 (kWh)
|
249 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + RAM: 0.000000 (kWh)
|
250 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + total: 0.000013 (kWh)
|
251 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + forward energy efficiency: 4758665.708690 (samples/kWh)
|
252 |
-
[PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy efficiency: 78850929.489581 (samples/kWh)
|
253 |
-
[2024-10-02 02:14:51,058][device-isolation][INFO] - + Closing device(s) isolation process...
|
254 |
-
[2024-10-02 02:14:51,111][datasets][INFO] - PyTorch version 2.4.0 available.
|
255 |
-
[2024-10-02 02:14:56,104][launcher][INFO] - ََAllocating process launcher
|
256 |
-
[2024-10-02 02:14:56,104][process][INFO] - + Setting multiprocessing start method to spawn.
|
257 |
-
[2024-10-02 02:14:56,114][device-isolation][INFO] - + Launched device(s) isolation process 73
|
258 |
-
[2024-10-02 02:14:56,115][device-isolation][INFO] - + Isolating device(s) [0]
|
259 |
-
[2024-10-02 02:14:56,123][process][INFO] - + Launched benchmark in isolated process 74.
|
260 |
-
[PROC-0][2024-10-02 02:14:58,781][datasets][INFO] - PyTorch version 2.4.0 available.
|
261 |
-
[PROC-0][2024-10-02 02:14:59,691][backend][INFO] - َAllocating pytorch backend
|
262 |
-
[PROC-0][2024-10-02 02:14:59,691][backend][INFO] - + Setting random seed to 42
|
263 |
-
[PROC-0][2024-10-02 02:14:59,991][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
|
264 |
-
[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating backend temporary directory
|
265 |
-
[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Loading model with random weights
|
266 |
-
[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model
|
267 |
-
[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model directory
|
268 |
-
[PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model state dict
|
269 |
-
[PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model safetensors
|
270 |
-
[PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model pretrained config
|
271 |
-
[PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading no weights AutoModel
|
272 |
-
[PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading model directly on device: cuda
|
273 |
-
[PROC-0][2024-10-02 02:15:00,258][pytorch][INFO] - + Turning on model's eval mode
|
274 |
-
[PROC-0][2024-10-02 02:15:00,264][benchmark][INFO] - Allocating energy_star benchmark
|
275 |
-
[PROC-0][2024-10-02 02:15:00,264][energy_star][INFO] - + Loading raw dataset
|
276 |
-
[PROC-0][2024-10-02 02:15:00,835][energy_star][INFO] - + Initializing Inference report
|
277 |
-
[PROC-0][2024-10-02 02:15:00,836][energy][INFO] - + Tracking GPU energy on devices [0]
|
278 |
-
[PROC-0][2024-10-02 02:15:05,022][energy_star][INFO] - + Preprocessing dataset
|
279 |
-
[PROC-0][2024-10-02 02:15:05,450][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
280 |
-
[PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Preparing backend for Inference
|
281 |
-
[PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Initialising dataloader
|
282 |
-
[PROC-0][2024-10-02 02:15:05,453][energy_star][INFO] - + Warming up backend for Inference
|
283 |
-
[2024-10-02 02:50:10,740][launcher][INFO] - ََAllocating process launcher
|
284 |
-
[2024-10-02 02:50:10,740][process][INFO] - + Setting multiprocessing start method to spawn.
|
285 |
-
[2024-10-02 02:50:10,749][device-isolation][INFO] - + Launched device(s) isolation process 73
|
286 |
-
[2024-10-02 02:50:10,749][device-isolation][INFO] - + Isolating device(s) [0]
|
287 |
-
[2024-10-02 02:50:10,755][process][INFO] - + Launched benchmark in isolated process 74.
|
288 |
-
[PROC-0][2024-10-02 02:50:13,394][datasets][INFO] - PyTorch version 2.4.0 available.
|
289 |
-
[PROC-0][2024-10-02 02:50:14,352][backend][INFO] - َAllocating pytorch backend
|
290 |
-
[PROC-0][2024-10-02 02:50:14,352][backend][INFO] - + Setting random seed to 42
|
291 |
-
[PROC-0][2024-10-02 02:50:14,716][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
|
292 |
-
[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating backend temporary directory
|
293 |
-
[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Loading model with random weights
|
294 |
-
[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model
|
295 |
-
[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model directory
|
296 |
-
[PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model state dict
|
297 |
-
[PROC-0][2024-10-02 02:50:14,719][pytorch][INFO] - + Saving no weights model safetensors
|
298 |
-
[PROC-0][2024-10-02 02:50:14,720][pytorch][INFO] - + Saving no weights model pretrained config
|
299 |
-
[PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading no weights AutoModel
|
300 |
-
[PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading model directly on device: cuda
|
301 |
-
[PROC-0][2024-10-02 02:50:14,981][pytorch][INFO] - + Turning on model's eval mode
|
302 |
-
[PROC-0][2024-10-02 02:50:14,987][benchmark][INFO] - Allocating energy_star benchmark
|
303 |
-
[PROC-0][2024-10-02 02:50:14,987][energy_star][INFO] - + Loading raw dataset
|
304 |
-
[PROC-0][2024-10-02 02:50:15,784][energy_star][INFO] - + Initializing Inference report
|
305 |
-
[PROC-0][2024-10-02 02:50:15,784][energy][INFO] - + Tracking GPU energy on devices [0]
|
306 |
-
[PROC-0][2024-10-02 02:50:19,971][energy_star][INFO] - + Preprocessing dataset
|
307 |
-
[PROC-0][2024-10-02 02:50:20,399][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
308 |
-
[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Preparing backend for Inference
|
309 |
-
[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Initialising dataloader
|
310 |
-
[PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Warming up backend for Inference
|
311 |
-
[PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
|
312 |
-
[PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Iteration 1/10
|
313 |
-
[PROC-0][2024-10-02 02:50:24,885][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
314 |
-
[PROC-0][2024-10-02 02:50:24,887][energy_star][INFO] - + Iteration 2/10
|
315 |
-
[PROC-0][2024-10-02 02:50:28,829][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
316 |
-
[PROC-0][2024-10-02 02:50:28,832][energy_star][INFO] - + Iteration 3/10
|
317 |
-
[PROC-0][2024-10-02 02:50:32,782][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
318 |
-
[PROC-0][2024-10-02 02:50:32,785][energy_star][INFO] - + Iteration 4/10
|
319 |
-
[PROC-0][2024-10-02 02:50:36,741][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
320 |
-
[PROC-0][2024-10-02 02:50:36,743][energy_star][INFO] - + Iteration 5/10
|
321 |
-
[PROC-0][2024-10-02 02:50:40,700][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
322 |
-
[PROC-0][2024-10-02 02:50:40,702][energy_star][INFO] - + Iteration 6/10
|
323 |
-
[PROC-0][2024-10-02 02:50:44,699][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
324 |
-
[PROC-0][2024-10-02 02:50:44,701][energy_star][INFO] - + Iteration 7/10
|
325 |
-
[PROC-0][2024-10-02 02:50:48,692][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
326 |
-
[PROC-0][2024-10-02 02:50:48,694][energy_star][INFO] - + Iteration 8/10
|
327 |
-
[PROC-0][2024-10-02 02:50:52,696][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
328 |
-
[PROC-0][2024-10-02 02:50:52,698][energy_star][INFO] - + Iteration 9/10
|
329 |
-
[PROC-0][2024-10-02 02:50:56,686][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
330 |
-
[PROC-0][2024-10-02 02:50:56,689][energy_star][INFO] - + Iteration 10/10
|
331 |
-
[PROC-0][2024-10-02 02:51:00,693][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
332 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward energy consumption:
|
333 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000042 (kWh)
|
334 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000167 (kWh)
|
335 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
|
336 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000209 (kWh)
|
337 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward_iteration_1 energy consumption:
|
338 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000047 (kWh)
|
339 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000182 (kWh)
|
340 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
|
341 |
-
[PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000229 (kWh)
|
342 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_2 energy consumption:
|
343 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000046 (kWh)
|
344 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000179 (kWh)
|
345 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
|
346 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000225 (kWh)
|
347 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_3 energy consumption:
|
348 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
|
349 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000187 (kWh)
|
350 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
|
351 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000234 (kWh)
|
352 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_4 energy consumption:
|
353 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
|
354 |
-
[PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000182 (kWh)
|
355 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
|
356 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000229 (kWh)
|
357 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_5 energy consumption:
|
358 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
|
359 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000188 (kWh)
|
360 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
|
361 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000235 (kWh)
|
362 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_6 energy consumption:
|
363 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
|
364 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000186 (kWh)
|
365 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
|
366 |
-
[PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000233 (kWh)
|
367 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_7 energy consumption:
|
368 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000000 (kWh)
|
369 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000000 (kWh)
|
370 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
|
371 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000000 (kWh)
|
372 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_8 energy consumption:
|
373 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
|
374 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000188 (kWh)
|
375 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
|
376 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000235 (kWh)
|
377 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_9 energy consumption:
|
378 |
-
[PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
|
379 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
|
380 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
|
381 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
|
382 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + forward_iteration_10 energy consumption:
|
383 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000047 (kWh)
|
384 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
|
385 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
|
386 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
|
387 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + preprocess energy consumption:
|
388 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000005 (kWh)
|
389 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000010 (kWh)
|
390 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
|
391 |
-
[PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000015 (kWh)
|
392 |
-
[PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + forward energy efficiency: 4773769.208322 (samples/kWh)
|
393 |
-
[PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + preprocess energy efficiency: 68058016.345637 (samples/kWh)
|
394 |
-
[2024-10-02 02:51:01,301][device-isolation][INFO] - + Closing device(s) isolation process...
|
395 |
-
[2024-10-02 02:51:01,355][datasets][INFO] - PyTorch version 2.4.0 available.
|
396 |
-
[2024-10-02 02:51:05,807][launcher][INFO] - ََAllocating process launcher
|
397 |
-
[2024-10-02 02:51:05,807][process][INFO] - + Setting multiprocessing start method to spawn.
|
398 |
-
[2024-10-02 02:51:05,818][device-isolation][INFO] - + Launched device(s) isolation process 73
|
399 |
-
[2024-10-02 02:51:05,818][device-isolation][INFO] - + Isolating device(s) [0]
|
400 |
-
[2024-10-02 02:51:05,826][process][INFO] - + Launched benchmark in isolated process 74.
|
401 |
-
[PROC-0][2024-10-02 02:51:08,488][datasets][INFO] - PyTorch version 2.4.0 available.
|
402 |
-
[PROC-0][2024-10-02 02:51:09,445][backend][INFO] - َAllocating pytorch backend
|
403 |
-
[PROC-0][2024-10-02 02:51:09,445][backend][INFO] - + Setting random seed to 42
|
404 |
-
[PROC-0][2024-10-02 02:51:09,701][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
|
405 |
-
[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating backend temporary directory
|
406 |
-
[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Loading model with random weights
|
407 |
-
[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model
|
408 |
-
[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model directory
|
409 |
-
[PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model state dict
|
410 |
-
[PROC-0][2024-10-02 02:51:09,704][pytorch][INFO] - + Saving no weights model safetensors
|
411 |
-
[PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Saving no weights model pretrained config
|
412 |
-
[PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Loading no weights AutoModel
|
413 |
-
[PROC-0][2024-10-02 02:51:09,706][pytorch][INFO] - + Loading model directly on device: cuda
|
414 |
-
[PROC-0][2024-10-02 02:51:09,954][pytorch][INFO] - + Turning on model's eval mode
|
415 |
-
[PROC-0][2024-10-02 02:51:09,960][benchmark][INFO] - Allocating energy_star benchmark
|
416 |
-
[PROC-0][2024-10-02 02:51:09,960][energy_star][INFO] - + Loading raw dataset
|
417 |
-
[PROC-0][2024-10-02 02:51:10,534][energy_star][INFO] - + Initializing Inference report
|
418 |
-
[PROC-0][2024-10-02 02:51:10,535][energy][INFO] - + Tracking GPU energy on devices [0]
|
419 |
-
[PROC-0][2024-10-02 02:51:14,703][energy_star][INFO] - + Preprocessing dataset
|
420 |
-
[PROC-0][2024-10-02 02:51:15,131][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
421 |
-
[PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Preparing backend for Inference
|
422 |
-
[PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Initialising dataloader
|
423 |
-
[PROC-0][2024-10-02 02:51:15,135][energy_star][INFO] - + Warming up backend for Inference
|
|
|
1 |
+
[2024-10-02 14:16:05,469][launcher][INFO] - ََAllocating process launcher
|
2 |
+
[2024-10-02 14:16:05,470][process][INFO] - + Setting multiprocessing start method to spawn.
|
3 |
+
[2024-10-02 14:16:05,478][device-isolation][INFO] - + Launched device(s) isolation process 73
|
4 |
+
[2024-10-02 14:16:05,479][device-isolation][INFO] - + Isolating device(s) [0]
|
5 |
+
[2024-10-02 14:16:05,484][process][INFO] - + Launched benchmark in isolated process 74.
|
6 |
+
[PROC-0][2024-10-02 14:16:08,072][datasets][INFO] - PyTorch version 2.4.0 available.
|
7 |
+
[PROC-0][2024-10-02 14:16:09,027][backend][INFO] - َAllocating pytorch backend
|
8 |
+
[PROC-0][2024-10-02 14:16:09,027][backend][INFO] - + Setting random seed to 42
|
9 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
|
10 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating backend temporary directory
|
11 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Loading model with random weights
|
12 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model
|
13 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model directory
|
14 |
+
[PROC-0][2024-10-02 14:16:09,468][pytorch][INFO] - + Creating no weights model state dict
|
15 |
+
[PROC-0][2024-10-02 14:16:09,470][pytorch][INFO] - + Saving no weights model safetensors
|
16 |
+
[PROC-0][2024-10-02 14:16:09,471][pytorch][INFO] - + Saving no weights model pretrained config
|
17 |
+
[PROC-0][2024-10-02 14:16:09,472][pytorch][INFO] - + Loading no weights AutoModel
|
18 |
+
[PROC-0][2024-10-02 14:16:09,472][pytorch][INFO] - + Loading model directly on device: cuda
|
19 |
+
[PROC-0][2024-10-02 14:16:09,732][pytorch][INFO] - + Turning on model's eval mode
|
20 |
+
[PROC-0][2024-10-02 14:16:09,737][benchmark][INFO] - Allocating energy_star benchmark
|
21 |
+
[PROC-0][2024-10-02 14:16:09,738][energy_star][INFO] - + Loading raw dataset
|
22 |
+
[PROC-0][2024-10-02 14:16:10,576][energy_star][INFO] - + Initializing Inference report
|
23 |
+
[PROC-0][2024-10-02 14:16:10,577][energy][INFO] - + Tracking GPU energy on devices [0]
|
24 |
+
[PROC-0][2024-10-02 14:16:14,765][energy_star][INFO] - + Preprocessing dataset
|
25 |
+
[PROC-0][2024-10-02 14:16:15,190][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
26 |
+
[PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Preparing backend for Inference
|
27 |
+
[PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Initialising dataloader
|
28 |
+
[PROC-0][2024-10-02 14:16:15,191][energy_star][INFO] - + Warming up backend for Inference
|
29 |
+
[PROC-0][2024-10-02 14:16:15,762][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
|
30 |
+
[PROC-0][2024-10-02 14:16:15,762][energy_star][INFO] - + Iteration 1/10
|
31 |
+
[PROC-0][2024-10-02 14:16:19,743][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
32 |
+
[PROC-0][2024-10-02 14:16:19,743][energy_star][INFO] - + Iteration 2/10
|
33 |
+
[PROC-0][2024-10-02 14:16:23,692][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
34 |
+
[PROC-0][2024-10-02 14:16:23,693][energy_star][INFO] - + Iteration 3/10
|
35 |
+
[PROC-0][2024-10-02 14:16:27,650][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
36 |
+
[PROC-0][2024-10-02 14:16:27,650][energy_star][INFO] - + Iteration 4/10
|
37 |
+
[PROC-0][2024-10-02 14:16:31,573][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
38 |
+
[PROC-0][2024-10-02 14:16:31,574][energy_star][INFO] - + Iteration 5/10
|
39 |
+
[PROC-0][2024-10-02 14:16:35,547][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
40 |
+
[PROC-0][2024-10-02 14:16:35,548][energy_star][INFO] - + Iteration 6/10
|
41 |
+
[PROC-0][2024-10-02 14:16:39,486][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
42 |
+
[PROC-0][2024-10-02 14:16:39,486][energy_star][INFO] - + Iteration 7/10
|
43 |
+
[PROC-0][2024-10-02 14:16:43,457][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
44 |
+
[PROC-0][2024-10-02 14:16:43,458][energy_star][INFO] - + Iteration 8/10
|
45 |
+
[PROC-0][2024-10-02 14:16:47,386][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
46 |
+
[PROC-0][2024-10-02 14:16:47,387][energy_star][INFO] - + Iteration 9/10
|
47 |
+
[PROC-0][2024-10-02 14:16:51,366][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
48 |
+
[PROC-0][2024-10-02 14:16:51,367][energy_star][INFO] - + Iteration 10/10
|
49 |
+
[PROC-0][2024-10-02 14:16:55,355][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
50 |
+
[PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + forward energy consumption:
|
51 |
+
[PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + CPU: 0.000042 (kWh)
|
52 |
+
[PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + GPU: 0.000170 (kWh)
|
53 |
+
[PROC-0][2024-10-02 14:16:55,356][energy][INFO] - + RAM: 0.000000 (kWh)
|
54 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + total: 0.000213 (kWh)
|
55 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + forward_iteration_1 energy consumption:
|
56 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + CPU: 0.000047 (kWh)
|
57 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + GPU: 0.000180 (kWh)
|
58 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + RAM: 0.000000 (kWh)
|
59 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + total: 0.000227 (kWh)
|
60 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + forward_iteration_2 energy consumption:
|
61 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + CPU: 0.000047 (kWh)
|
62 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + GPU: 0.000187 (kWh)
|
63 |
+
[PROC-0][2024-10-02 14:16:55,357][energy][INFO] - + RAM: 0.000000 (kWh)
|
64 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + total: 0.000234 (kWh)
|
65 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + forward_iteration_3 energy consumption:
|
66 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + CPU: 0.000047 (kWh)
|
67 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + GPU: 0.000185 (kWh)
|
68 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + RAM: 0.000000 (kWh)
|
69 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + total: 0.000232 (kWh)
|
70 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + forward_iteration_4 energy consumption:
|
71 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + CPU: 0.000046 (kWh)
|
72 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + GPU: 0.000192 (kWh)
|
73 |
+
[PROC-0][2024-10-02 14:16:55,358][energy][INFO] - + RAM: 0.000000 (kWh)
|
74 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000238 (kWh)
|
75 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + forward_iteration_5 energy consumption:
|
76 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + CPU: 0.000047 (kWh)
|
77 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + GPU: 0.000186 (kWh)
|
78 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + RAM: 0.000000 (kWh)
|
79 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000234 (kWh)
|
80 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + forward_iteration_6 energy consumption:
|
81 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + CPU: 0.000046 (kWh)
|
82 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + GPU: 0.000194 (kWh)
|
83 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + RAM: 0.000000 (kWh)
|
84 |
+
[PROC-0][2024-10-02 14:16:55,359][energy][INFO] - + total: 0.000240 (kWh)
|
85 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + forward_iteration_7 energy consumption:
|
86 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + CPU: 0.000000 (kWh)
|
87 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + GPU: 0.000000 (kWh)
|
88 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + RAM: 0.000000 (kWh)
|
89 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + total: 0.000000 (kWh)
|
90 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + forward_iteration_8 energy consumption:
|
91 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + CPU: 0.000046 (kWh)
|
92 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + GPU: 0.000189 (kWh)
|
93 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + RAM: 0.000000 (kWh)
|
94 |
+
[PROC-0][2024-10-02 14:16:55,360][energy][INFO] - + total: 0.000236 (kWh)
|
95 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + forward_iteration_9 energy consumption:
|
96 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + CPU: 0.000047 (kWh)
|
97 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + GPU: 0.000194 (kWh)
|
98 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + RAM: 0.000000 (kWh)
|
99 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + total: 0.000241 (kWh)
|
100 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + forward_iteration_10 energy consumption:
|
101 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + CPU: 0.000047 (kWh)
|
102 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + GPU: 0.000195 (kWh)
|
103 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + RAM: 0.000000 (kWh)
|
104 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + total: 0.000242 (kWh)
|
105 |
+
[PROC-0][2024-10-02 14:16:55,361][energy][INFO] - + preprocess energy consumption:
|
106 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + CPU: 0.000005 (kWh)
|
107 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + GPU: 0.000008 (kWh)
|
108 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + RAM: 0.000000 (kWh)
|
109 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + total: 0.000013 (kWh)
|
110 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + forward energy efficiency: 4704577.401811 (samples/kWh)
|
111 |
+
[PROC-0][2024-10-02 14:16:55,362][energy][INFO] - + preprocess energy efficiency: 77861115.115437 (samples/kWh)
|
112 |
+
[2024-10-02 14:16:55,948][device-isolation][INFO] - + Closing device(s) isolation process...
|
113 |
+
[2024-10-02 14:16:55,994][datasets][INFO] - PyTorch version 2.4.0 available.
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json
CHANGED
@@ -1,17 +1,17 @@
|
|
1 |
{
|
2 |
-
"timestamp": "2024-10-
|
3 |
"project_name": "codecarbon",
|
4 |
-
"run_id": "
|
5 |
-
"duration": -
|
6 |
-
"emissions": 8.
|
7 |
-
"emissions_rate": 2.
|
8 |
"cpu_power": 42.5,
|
9 |
-
"gpu_power":
|
10 |
-
"ram_power": 0.
|
11 |
-
"cpu_energy": 4.
|
12 |
-
"gpu_energy": 0.
|
13 |
-
"ram_energy": 3.
|
14 |
-
"energy_consumed": 0.
|
15 |
"country_name": "United States",
|
16 |
"country_iso_code": "USA",
|
17 |
"region": "virginia",
|
|
|
1 |
{
|
2 |
+
"timestamp": "2024-10-02T14:16:55",
|
3 |
"project_name": "codecarbon",
|
4 |
+
"run_id": "00f7abbf-644b-4fe1-b568-ae7d68262844",
|
5 |
+
"duration": -1727837484.2760804,
|
6 |
+
"emissions": 8.940036935484435e-05,
|
7 |
+
"emissions_rate": 2.2428227337353603e-05,
|
8 |
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 175.8862803095146,
|
10 |
+
"ram_power": 0.34586334228515625,
|
11 |
+
"cpu_energy": 4.7079288748611556e-05,
|
12 |
+
"gpu_energy": 0.00019472710022599982,
|
13 |
+
"ram_energy": 3.8283725157836774e-07,
|
14 |
+
"energy_consumed": 0.00024218922622618998,
|
15 |
"country_name": "United States",
|
16 |
"country_iso_code": "USA",
|
17 |
"region": "virginia",
|
text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json
CHANGED
@@ -1,17 +1,17 @@
|
|
1 |
{
|
2 |
-
"timestamp": "2024-10-
|
3 |
"project_name": "codecarbon",
|
4 |
-
"run_id": "
|
5 |
-
"duration": -
|
6 |
-
"emissions": 4.
|
7 |
-
"emissions_rate": 1.
|
8 |
"cpu_power": 42.5,
|
9 |
-
"gpu_power":
|
10 |
-
"ram_power": 0.
|
11 |
-
"cpu_energy": 5.
|
12 |
-
"gpu_energy":
|
13 |
-
"ram_energy": 3.
|
14 |
-
"energy_consumed": 1.
|
15 |
"country_name": "United States",
|
16 |
"country_iso_code": "USA",
|
17 |
"region": "virginia",
|
|
|
1 |
{
|
2 |
+
"timestamp": "2024-10-02T14:16:15",
|
3 |
"project_name": "codecarbon",
|
4 |
+
"run_id": "00f7abbf-644b-4fe1-b568-ae7d68262844",
|
5 |
+
"duration": -1727837487.840182,
|
6 |
+
"emissions": 4.740933614211174e-06,
|
7 |
+
"emissions_rate": 1.1231350982989806e-05,
|
8 |
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 66.59697494811572,
|
10 |
+
"ram_power": 0.27518177032470703,
|
11 |
+
"cpu_energy": 5.007022324960216e-06,
|
12 |
+
"gpu_energy": 7.804172909964269e-06,
|
13 |
+
"ram_energy": 3.218619516936083e-08,
|
14 |
+
"energy_consumed": 1.2843381430093845e-05,
|
15 |
"country_name": "United States",
|
16 |
"country_iso_code": "USA",
|
17 |
"region": "virginia",
|
text_generation/facebook/opt-125m/.hydra/config.yaml
ADDED
@@ -0,0 +1,96 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
backend:
|
2 |
+
name: pytorch
|
3 |
+
version: 2.4.0
|
4 |
+
_target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
|
5 |
+
task: text-generation
|
6 |
+
model: facebook/opt-125m
|
7 |
+
processor: facebook/opt-125m
|
8 |
+
library: null
|
9 |
+
device: cuda
|
10 |
+
device_ids: '0'
|
11 |
+
seed: 42
|
12 |
+
inter_op_num_threads: null
|
13 |
+
intra_op_num_threads: null
|
14 |
+
hub_kwargs: {}
|
15 |
+
no_weights: true
|
16 |
+
device_map: null
|
17 |
+
torch_dtype: null
|
18 |
+
amp_autocast: false
|
19 |
+
amp_dtype: null
|
20 |
+
eval_mode: true
|
21 |
+
to_bettertransformer: false
|
22 |
+
low_cpu_mem_usage: null
|
23 |
+
attn_implementation: null
|
24 |
+
cache_implementation: null
|
25 |
+
torch_compile: false
|
26 |
+
torch_compile_config: {}
|
27 |
+
quantization_scheme: null
|
28 |
+
quantization_config: {}
|
29 |
+
deepspeed_inference: false
|
30 |
+
deepspeed_inference_config: {}
|
31 |
+
peft_type: null
|
32 |
+
peft_config: {}
|
33 |
+
launcher:
|
34 |
+
name: process
|
35 |
+
_target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
|
36 |
+
device_isolation: false
|
37 |
+
device_isolation_action: warn
|
38 |
+
start_method: spawn
|
39 |
+
benchmark:
|
40 |
+
name: energy_star
|
41 |
+
_target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
|
42 |
+
dataset_name: EnergyStarAI/text_generation
|
43 |
+
dataset_config: ''
|
44 |
+
dataset_split: train
|
45 |
+
num_samples: 1000
|
46 |
+
input_shapes:
|
47 |
+
batch_size: 1
|
48 |
+
text_column_name: text
|
49 |
+
truncation: true
|
50 |
+
max_length: -1
|
51 |
+
dataset_prefix1: ''
|
52 |
+
dataset_prefix2: ''
|
53 |
+
t5_task: ''
|
54 |
+
image_column_name: image
|
55 |
+
resize: false
|
56 |
+
question_column_name: question
|
57 |
+
context_column_name: context
|
58 |
+
sentence1_column_name: sentence1
|
59 |
+
sentence2_column_name: sentence2
|
60 |
+
audio_column_name: audio
|
61 |
+
iterations: 10
|
62 |
+
warmup_runs: 10
|
63 |
+
energy: true
|
64 |
+
forward_kwargs: {}
|
65 |
+
generate_kwargs:
|
66 |
+
max_new_tokens: 10
|
67 |
+
min_new_tokens: 10
|
68 |
+
call_kwargs: {}
|
69 |
+
experiment_name: text_generation
|
70 |
+
environment:
|
71 |
+
cpu: ' AMD EPYC 7R32'
|
72 |
+
cpu_count: 48
|
73 |
+
cpu_ram_mb: 200472.73984
|
74 |
+
system: Linux
|
75 |
+
machine: x86_64
|
76 |
+
platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
77 |
+
processor: x86_64
|
78 |
+
python_version: 3.9.20
|
79 |
+
gpu:
|
80 |
+
- NVIDIA A10G
|
81 |
+
gpu_count: 1
|
82 |
+
gpu_vram_mb: 24146608128
|
83 |
+
optimum_benchmark_version: 0.2.0
|
84 |
+
optimum_benchmark_commit: null
|
85 |
+
transformers_version: 4.44.0
|
86 |
+
transformers_commit: null
|
87 |
+
accelerate_version: 0.33.0
|
88 |
+
accelerate_commit: null
|
89 |
+
diffusers_version: 0.30.0
|
90 |
+
diffusers_commit: null
|
91 |
+
optimum_version: null
|
92 |
+
optimum_commit: null
|
93 |
+
timm_version: null
|
94 |
+
timm_commit: null
|
95 |
+
peft_version: null
|
96 |
+
peft_commit: null
|
text_generation/facebook/opt-125m/.hydra/hydra.yaml
ADDED
@@ -0,0 +1,175 @@
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
1 |
+
hydra:
|
2 |
+
run:
|
3 |
+
dir: ./runs/text_generation/facebook/opt-125m/
|
4 |
+
sweep:
|
5 |
+
dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
+
help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
Compose your configuration from those groups (group=option)
|
28 |
+
|
29 |
+
|
30 |
+
$APP_CONFIG_GROUPS
|
31 |
+
|
32 |
+
|
33 |
+
== Config ==
|
34 |
+
|
35 |
+
Override anything in the config (foo.bar=value)
|
36 |
+
|
37 |
+
|
38 |
+
$CONFIG
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${hydra.runtime.version})
|
46 |
+
|
47 |
+
See https://hydra.cc for more info.
|
48 |
+
|
49 |
+
|
50 |
+
== Flags ==
|
51 |
+
|
52 |
+
$FLAGS_HELP
|
53 |
+
|
54 |
+
|
55 |
+
== Configuration groups ==
|
56 |
+
|
57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
58 |
+
to command line)
|
59 |
+
|
60 |
+
|
61 |
+
$HYDRA_CONFIG_GROUPS
|
62 |
+
|
63 |
+
|
64 |
+
Use ''--cfg hydra'' to Show the Hydra config.
|
65 |
+
|
66 |
+
'
|
67 |
+
hydra_help: ???
|
68 |
+
hydra_logging:
|
69 |
+
version: 1
|
70 |
+
formatters:
|
71 |
+
colorlog:
|
72 |
+
(): colorlog.ColoredFormatter
|
73 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
74 |
+
handlers:
|
75 |
+
console:
|
76 |
+
class: logging.StreamHandler
|
77 |
+
formatter: colorlog
|
78 |
+
stream: ext://sys.stdout
|
79 |
+
root:
|
80 |
+
level: INFO
|
81 |
+
handlers:
|
82 |
+
- console
|
83 |
+
disable_existing_loggers: false
|
84 |
+
job_logging:
|
85 |
+
version: 1
|
86 |
+
formatters:
|
87 |
+
simple:
|
88 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
89 |
+
colorlog:
|
90 |
+
(): colorlog.ColoredFormatter
|
91 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
92 |
+
- %(message)s'
|
93 |
+
log_colors:
|
94 |
+
DEBUG: purple
|
95 |
+
INFO: green
|
96 |
+
WARNING: yellow
|
97 |
+
ERROR: red
|
98 |
+
CRITICAL: red
|
99 |
+
handlers:
|
100 |
+
console:
|
101 |
+
class: logging.StreamHandler
|
102 |
+
formatter: colorlog
|
103 |
+
stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
+
class: logging.FileHandler
|
106 |
+
formatter: simple
|
107 |
+
filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
+
level: INFO
|
110 |
+
handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
+
disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
+
callbacks: {}
|
118 |
+
output_subdir: .hydra
|
119 |
+
overrides:
|
120 |
+
hydra:
|
121 |
+
- hydra.run.dir=./runs/text_generation/facebook/opt-125m/
|
122 |
+
- hydra.mode=RUN
|
123 |
+
task:
|
124 |
+
- backend.model=facebook/opt-125m
|
125 |
+
- backend.processor=facebook/opt-125m
|
126 |
+
job:
|
127 |
+
name: cli
|
128 |
+
chdir: true
|
129 |
+
override_dirname: backend.model=facebook/opt-125m,backend.processor=facebook/opt-125m
|
130 |
+
id: ???
|
131 |
+
num: ???
|
132 |
+
config_name: text_generation
|
133 |
+
env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
+
env_copy: []
|
136 |
+
config:
|
137 |
+
override_dirname:
|
138 |
+
kv_sep: '='
|
139 |
+
item_sep: ','
|
140 |
+
exclude_keys: []
|
141 |
+
runtime:
|
142 |
+
version: 1.3.2
|
143 |
+
version_base: '1.3'
|
144 |
+
cwd: /
|
145 |
+
config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
+
- path: optimum_benchmark
|
150 |
+
schema: pkg
|
151 |
+
provider: main
|
152 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
153 |
+
schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
+
schema: file
|
157 |
+
provider: command-line
|
158 |
+
- path: ''
|
159 |
+
schema: structured
|
160 |
+
provider: schema
|
161 |
+
output_dir: /runs/text_generation/facebook/opt-125m
|
162 |
+
choices:
|
163 |
+
benchmark: energy_star
|
164 |
+
launcher: process
|
165 |
+
backend: pytorch
|
166 |
+
hydra/env: default
|
167 |
+
hydra/callbacks: null
|
168 |
+
hydra/job_logging: colorlog
|
169 |
+
hydra/hydra_logging: colorlog
|
170 |
+
hydra/hydra_help: default
|
171 |
+
hydra/help: default
|
172 |
+
hydra/sweeper: basic
|
173 |
+
hydra/launcher: basic
|
174 |
+
hydra/output: default
|
175 |
+
verbose: false
|
text_generation/facebook/opt-125m/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=facebook/opt-125m
|
2 |
+
- backend.processor=facebook/opt-125m
|
text_generation/facebook/opt-125m/benchmark_report.json
ADDED
@@ -0,0 +1,203 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
1 |
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{
|
2 |
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"prefill": {
|
3 |
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"memory": null,
|
4 |
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|
5 |
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|
6 |
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"energy": {
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"unit": "kWh",
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},
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"efficiency": {
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14 |
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"unit": "tokens/kWh",
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15 |
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"value": 293786905.34082574
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},
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"measures": [
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{
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"unit": "kWh",
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"cpu": 0.0007406767232832507,
|
123 |
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"ram": 6.881869250677835e-06,
|
124 |
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"gpu": 0.001731486940743987,
|
125 |
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"total": 0.002479045533277918
|
126 |
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},
|
127 |
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{
|
128 |
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"unit": "kWh",
|
129 |
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"cpu": 0.0007414843963408807,
|
130 |
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"ram": 6.889413759453241e-06,
|
131 |
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"gpu": 0.001710969702108045,
|
132 |
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"total": 0.0024593435122083783
|
133 |
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},
|
134 |
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{
|
135 |
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"unit": "kWh",
|
136 |
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"cpu": -0.00017711063634860192,
|
137 |
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"ram": -1.643309355578466e-06,
|
138 |
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"gpu": -0.0009646568828360347,
|
139 |
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"total": -0.0011434108285402148
|
140 |
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},
|
141 |
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{
|
142 |
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"unit": "kWh",
|
143 |
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"cpu": 0.0007401458637875496,
|
144 |
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"ram": 6.8769803535319136e-06,
|
145 |
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"gpu": 0.0016968044129980209,
|
146 |
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"total": 0.002443827257139106
|
147 |
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},
|
148 |
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{
|
149 |
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"unit": "kWh",
|
150 |
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"cpu": 0.0009189408955174059,
|
151 |
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"ram": 8.535752359238371e-06,
|
152 |
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"gpu": 0.0026678529676139595,
|
153 |
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"total": 0.003595329615490604
|
154 |
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},
|
155 |
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{
|
156 |
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"unit": "kWh",
|
157 |
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"cpu": 0.0007357057873068596,
|
158 |
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"ram": 6.8357351727696e-06,
|
159 |
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"gpu": 0.0016887905176979912,
|
160 |
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"total": 0.0024313320401776195
|
161 |
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},
|
162 |
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{
|
163 |
+
"unit": "kWh",
|
164 |
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"cpu": 0.0007458956904521576,
|
165 |
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"ram": 6.930380031240821e-06,
|
166 |
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"gpu": 0.0016975827469540294,
|
167 |
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"total": 0.002450408817437428
|
168 |
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},
|
169 |
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{
|
170 |
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"unit": "kWh",
|
171 |
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"cpu": 0.0007420789907611278,
|
172 |
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"ram": 6.894950814188393e-06,
|
173 |
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"gpu": 0.001691637464419915,
|
174 |
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"total": 0.0024406114059952327
|
175 |
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}
|
176 |
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]
|
177 |
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},
|
178 |
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"per_token": {
|
179 |
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"memory": null,
|
180 |
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"latency": null,
|
181 |
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"throughput": null,
|
182 |
+
"energy": null,
|
183 |
+
"efficiency": null,
|
184 |
+
"measures": null
|
185 |
+
},
|
186 |
+
"preprocess": {
|
187 |
+
"memory": null,
|
188 |
+
"latency": null,
|
189 |
+
"throughput": null,
|
190 |
+
"energy": {
|
191 |
+
"unit": "kWh",
|
192 |
+
"cpu": 1.1007180234739483e-05,
|
193 |
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"ram": 7.319982597073878e-08,
|
194 |
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"gpu": 1.837834803603e-05,
|
195 |
+
"total": 2.9458728096740222e-05
|
196 |
+
},
|
197 |
+
"efficiency": {
|
198 |
+
"unit": "samples/kWh",
|
199 |
+
"value": 33945796.869303934
|
200 |
+
},
|
201 |
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"measures": null
|
202 |
+
}
|
203 |
+
}
|
text_generation/facebook/opt-125m/cli.log
ADDED
@@ -0,0 +1,188 @@
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|
|
|
1 |
+
[2024-10-02 14:16:59,753][launcher][INFO] - ََAllocating process launcher
|
2 |
+
[2024-10-02 14:16:59,753][process][INFO] - + Setting multiprocessing start method to spawn.
|
3 |
+
[2024-10-02 14:16:59,765][process][INFO] - + Launched benchmark in isolated process 319.
|
4 |
+
[PROC-0][2024-10-02 14:17:02,285][datasets][INFO] - PyTorch version 2.4.0 available.
|
5 |
+
[PROC-0][2024-10-02 14:17:03,235][backend][INFO] - َAllocating pytorch backend
|
6 |
+
[PROC-0][2024-10-02 14:17:03,236][backend][INFO] - + Setting random seed to 42
|
7 |
+
[PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - + Using AutoModel class AutoModelForCausalLM
|
8 |
+
[PROC-0][2024-10-02 14:17:03,789][pytorch][INFO] - + Creating backend temporary directory
|
9 |
+
[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Loading model with random weights
|
10 |
+
[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model
|
11 |
+
[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model directory
|
12 |
+
[PROC-0][2024-10-02 14:17:03,790][pytorch][INFO] - + Creating no weights model state dict
|
13 |
+
[PROC-0][2024-10-02 14:17:03,811][pytorch][INFO] - + Saving no weights model safetensors
|
14 |
+
[PROC-0][2024-10-02 14:17:03,812][pytorch][INFO] - + Saving no weights model pretrained config
|
15 |
+
[PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - + Loading no weights AutoModel
|
16 |
+
[PROC-0][2024-10-02 14:17:03,813][pytorch][INFO] - + Loading model directly on device: cuda
|
17 |
+
[PROC-0][2024-10-02 14:17:03,968][pytorch][INFO] - + Turning on model's eval mode
|
18 |
+
[PROC-0][2024-10-02 14:17:03,974][benchmark][INFO] - Allocating energy_star benchmark
|
19 |
+
[PROC-0][2024-10-02 14:17:03,974][energy_star][INFO] - + Loading raw dataset
|
20 |
+
[PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - + Updating Text Generation kwargs with default values
|
21 |
+
[PROC-0][2024-10-02 14:17:04,842][energy_star][INFO] - + Initializing Text Generation report
|
22 |
+
[PROC-0][2024-10-02 14:17:04,843][energy][INFO] - + Tracking GPU energy on devices [0]
|
23 |
+
[PROC-0][2024-10-02 14:17:09,064][energy_star][INFO] - + Preprocessing dataset
|
24 |
+
[PROC-0][2024-10-02 14:17:09,997][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
25 |
+
[PROC-0][2024-10-02 14:17:09,997][energy_star][INFO] - + Preparing backend for Inference
|
26 |
+
[PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - + Initialising dataloader
|
27 |
+
[PROC-0][2024-10-02 14:17:09,998][energy_star][INFO] - + Warming up backend for Inference
|
28 |
+
[PROC-0][2024-10-02 14:17:10,669][energy_star][INFO] - + Additional warmup for Text Generation
|
29 |
+
[PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
|
30 |
+
[PROC-0][2024-10-02 14:17:10,742][energy_star][INFO] - + Prefill iteration 1/10
|
31 |
+
[PROC-0][2024-10-02 14:17:25,733][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
32 |
+
[PROC-0][2024-10-02 14:17:25,733][energy_star][INFO] - + Prefill iteration 2/10
|
33 |
+
[PROC-0][2024-10-02 14:17:40,700][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
34 |
+
[PROC-0][2024-10-02 14:17:40,700][energy_star][INFO] - + Prefill iteration 3/10
|
35 |
+
[PROC-0][2024-10-02 14:17:55,783][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
36 |
+
[PROC-0][2024-10-02 14:17:55,783][energy_star][INFO] - + Prefill iteration 4/10
|
37 |
+
[PROC-0][2024-10-02 14:18:10,831][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
38 |
+
[PROC-0][2024-10-02 14:18:10,831][energy_star][INFO] - + Prefill iteration 5/10
|
39 |
+
[PROC-0][2024-10-02 14:18:25,834][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
40 |
+
[PROC-0][2024-10-02 14:18:25,835][energy_star][INFO] - + Prefill iteration 6/10
|
41 |
+
[PROC-0][2024-10-02 14:18:40,836][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
42 |
+
[PROC-0][2024-10-02 14:18:40,836][energy_star][INFO] - + Prefill iteration 7/10
|
43 |
+
[PROC-0][2024-10-02 14:18:55,864][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
44 |
+
[PROC-0][2024-10-02 14:18:55,864][energy_star][INFO] - + Prefill iteration 8/10
|
45 |
+
[PROC-0][2024-10-02 14:19:10,905][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
46 |
+
[PROC-0][2024-10-02 14:19:10,905][energy_star][INFO] - + Prefill iteration 9/10
|
47 |
+
[PROC-0][2024-10-02 14:19:25,978][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
48 |
+
[PROC-0][2024-10-02 14:19:25,978][energy_star][INFO] - + Prefill iteration 10/10
|
49 |
+
[PROC-0][2024-10-02 14:19:40,976][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
50 |
+
[PROC-0][2024-10-02 14:19:40,976][energy_star][INFO] - + Decoding iteration 1/10
|
51 |
+
[PROC-0][2024-10-02 14:20:59,123][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
52 |
+
[PROC-0][2024-10-02 14:20:59,123][energy_star][INFO] - + Decoding iteration 2/10
|
53 |
+
[PROC-0][2024-10-02 14:22:16,930][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
54 |
+
[PROC-0][2024-10-02 14:22:16,931][energy_star][INFO] - + Decoding iteration 3/10
|
55 |
+
[PROC-0][2024-10-02 14:23:34,753][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
56 |
+
[PROC-0][2024-10-02 14:23:34,753][energy_star][INFO] - + Decoding iteration 4/10
|
57 |
+
[PROC-0][2024-10-02 14:24:52,609][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
58 |
+
[PROC-0][2024-10-02 14:24:52,609][energy_star][INFO] - + Decoding iteration 5/10
|
59 |
+
[PROC-0][2024-10-02 14:26:10,516][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
60 |
+
[PROC-0][2024-10-02 14:26:10,516][energy_star][INFO] - + Decoding iteration 6/10
|
61 |
+
[PROC-0][2024-10-02 14:27:28,212][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
62 |
+
[PROC-0][2024-10-02 14:27:28,213][energy_star][INFO] - + Decoding iteration 7/10
|
63 |
+
[PROC-0][2024-10-02 14:28:46,053][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
64 |
+
[PROC-0][2024-10-02 14:28:46,053][energy_star][INFO] - + Decoding iteration 8/10
|
65 |
+
[PROC-0][2024-10-02 14:30:03,413][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
66 |
+
[PROC-0][2024-10-02 14:30:03,413][energy_star][INFO] - + Decoding iteration 9/10
|
67 |
+
[PROC-0][2024-10-02 14:31:21,667][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
68 |
+
[PROC-0][2024-10-02 14:31:21,668][energy_star][INFO] - + Decoding iteration 10/10
|
69 |
+
[PROC-0][2024-10-02 14:32:39,524][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
70 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + prefill energy consumption:
|
71 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + CPU: 0.000160 (kWh)
|
72 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + GPU: 0.000863 (kWh)
|
73 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + RAM: 0.000001 (kWh)
|
74 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + total: 0.001024 (kWh)
|
75 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + prefill_iteration_1 energy consumption:
|
76 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + CPU: 0.000177 (kWh)
|
77 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + GPU: 0.000935 (kWh)
|
78 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + RAM: 0.000002 (kWh)
|
79 |
+
[PROC-0][2024-10-02 14:32:39,525][energy][INFO] - + total: 0.001113 (kWh)
|
80 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_2 energy consumption:
|
81 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000177 (kWh)
|
82 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + GPU: 0.000943 (kWh)
|
83 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + RAM: 0.000002 (kWh)
|
84 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + total: 0.001121 (kWh)
|
85 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_3 energy consumption:
|
86 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000178 (kWh)
|
87 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + GPU: 0.000952 (kWh)
|
88 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + RAM: 0.000002 (kWh)
|
89 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + total: 0.001131 (kWh)
|
90 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + prefill_iteration_4 energy consumption:
|
91 |
+
[PROC-0][2024-10-02 14:32:39,526][energy][INFO] - + CPU: 0.000178 (kWh)
|
92 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000962 (kWh)
|
93 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
|
94 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + total: 0.001141 (kWh)
|
95 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + prefill_iteration_5 energy consumption:
|
96 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + CPU: 0.000177 (kWh)
|
97 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000965 (kWh)
|
98 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
|
99 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + total: 0.001143 (kWh)
|
100 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + prefill_iteration_6 energy consumption:
|
101 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + CPU: 0.000177 (kWh)
|
102 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + GPU: 0.000964 (kWh)
|
103 |
+
[PROC-0][2024-10-02 14:32:39,527][energy][INFO] - + RAM: 0.000002 (kWh)
|
104 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.001143 (kWh)
|
105 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_7 energy consumption:
|
106 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000000 (kWh)
|
107 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + GPU: 0.000000 (kWh)
|
108 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + RAM: 0.000000 (kWh)
|
109 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.000000 (kWh)
|
110 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_8 energy consumption:
|
111 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000178 (kWh)
|
112 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + GPU: 0.000964 (kWh)
|
113 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + RAM: 0.000002 (kWh)
|
114 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + total: 0.001143 (kWh)
|
115 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + prefill_iteration_9 energy consumption:
|
116 |
+
[PROC-0][2024-10-02 14:32:39,528][energy][INFO] - + CPU: 0.000178 (kWh)
|
117 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.000974 (kWh)
|
118 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000002 (kWh)
|
119 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + total: 0.001154 (kWh)
|
120 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + prefill_iteration_10 energy consumption:
|
121 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + CPU: 0.000177 (kWh)
|
122 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.000971 (kWh)
|
123 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000002 (kWh)
|
124 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + total: 0.001150 (kWh)
|
125 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + decode energy consumption:
|
126 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + CPU: 0.000668 (kWh)
|
127 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + GPU: 0.001547 (kWh)
|
128 |
+
[PROC-0][2024-10-02 14:32:39,529][energy][INFO] - + RAM: 0.000006 (kWh)
|
129 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002220 (kWh)
|
130 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_1 energy consumption:
|
131 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + CPU: 0.000746 (kWh)
|
132 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + GPU: 0.001802 (kWh)
|
133 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + RAM: 0.000007 (kWh)
|
134 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002554 (kWh)
|
135 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_2 energy consumption:
|
136 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + CPU: 0.000742 (kWh)
|
137 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + GPU: 0.001744 (kWh)
|
138 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + RAM: 0.000007 (kWh)
|
139 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + total: 0.002493 (kWh)
|
140 |
+
[PROC-0][2024-10-02 14:32:39,530][energy][INFO] - + decode_iteration_3 energy consumption:
|
141 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: 0.000741 (kWh)
|
142 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: 0.001731 (kWh)
|
143 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: 0.000007 (kWh)
|
144 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + total: 0.002479 (kWh)
|
145 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + decode_iteration_4 energy consumption:
|
146 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: 0.000741 (kWh)
|
147 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: 0.001711 (kWh)
|
148 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: 0.000007 (kWh)
|
149 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + total: 0.002459 (kWh)
|
150 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + decode_iteration_5 energy consumption:
|
151 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + CPU: -0.000177 (kWh)
|
152 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + GPU: -0.000965 (kWh)
|
153 |
+
[PROC-0][2024-10-02 14:32:39,531][energy][INFO] - + RAM: -0.000002 (kWh)
|
154 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + total: -0.001143 (kWh)
|
155 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_6 energy consumption:
|
156 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000740 (kWh)
|
157 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + GPU: 0.001697 (kWh)
|
158 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + RAM: 0.000007 (kWh)
|
159 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + total: 0.002444 (kWh)
|
160 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_7 energy consumption:
|
161 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000919 (kWh)
|
162 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + GPU: 0.002668 (kWh)
|
163 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + RAM: 0.000009 (kWh)
|
164 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + total: 0.003595 (kWh)
|
165 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + decode_iteration_8 energy consumption:
|
166 |
+
[PROC-0][2024-10-02 14:32:39,532][energy][INFO] - + CPU: 0.000736 (kWh)
|
167 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + GPU: 0.001689 (kWh)
|
168 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + RAM: 0.000007 (kWh)
|
169 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + total: 0.002431 (kWh)
|
170 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + decode_iteration_9 energy consumption:
|
171 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + CPU: 0.000746 (kWh)
|
172 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + GPU: 0.001698 (kWh)
|
173 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + RAM: 0.000007 (kWh)
|
174 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + total: 0.002450 (kWh)
|
175 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + decode_iteration_10 energy consumption:
|
176 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + CPU: 0.000742 (kWh)
|
177 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + GPU: 0.001692 (kWh)
|
178 |
+
[PROC-0][2024-10-02 14:32:39,533][energy][INFO] - + RAM: 0.000007 (kWh)
|
179 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + total: 0.002441 (kWh)
|
180 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + preprocess energy consumption:
|
181 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + CPU: 0.000011 (kWh)
|
182 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + GPU: 0.000018 (kWh)
|
183 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + RAM: 0.000000 (kWh)
|
184 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + total: 0.000029 (kWh)
|
185 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + prefill energy efficiency: 293786905.340826 (tokens/kWh)
|
186 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + decode energy efficiency: 4053418.570424 (tokens/kWh)
|
187 |
+
[PROC-0][2024-10-02 14:32:39,534][energy][INFO] - + preprocess energy efficiency: 33945796.869304 (samples/kWh)
|
188 |
+
[2024-10-02 14:32:40,176][datasets][INFO] - PyTorch version 2.4.0 available.
|
text_generation/facebook/opt-125m/experiment_config.json
ADDED
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"experiment_name": "text_generation",
|
3 |
+
"backend": {
|
4 |
+
"name": "pytorch",
|
5 |
+
"version": "2.4.0",
|
6 |
+
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
7 |
+
"task": "text-generation",
|
8 |
+
"model": "facebook/opt-125m",
|
9 |
+
"processor": "facebook/opt-125m",
|
10 |
+
"library": "transformers",
|
11 |
+
"device": "cuda",
|
12 |
+
"device_ids": "0",
|
13 |
+
"seed": 42,
|
14 |
+
"inter_op_num_threads": null,
|
15 |
+
"intra_op_num_threads": null,
|
16 |
+
"hub_kwargs": {
|
17 |
+
"revision": "main",
|
18 |
+
"force_download": false,
|
19 |
+
"local_files_only": false,
|
20 |
+
"trust_remote_code": true
|
21 |
+
},
|
22 |
+
"no_weights": true,
|
23 |
+
"device_map": null,
|
24 |
+
"torch_dtype": null,
|
25 |
+
"amp_autocast": false,
|
26 |
+
"amp_dtype": null,
|
27 |
+
"eval_mode": true,
|
28 |
+
"to_bettertransformer": false,
|
29 |
+
"low_cpu_mem_usage": null,
|
30 |
+
"attn_implementation": null,
|
31 |
+
"cache_implementation": null,
|
32 |
+
"torch_compile": false,
|
33 |
+
"torch_compile_config": {},
|
34 |
+
"quantization_scheme": null,
|
35 |
+
"quantization_config": {},
|
36 |
+
"deepspeed_inference": false,
|
37 |
+
"deepspeed_inference_config": {},
|
38 |
+
"peft_type": null,
|
39 |
+
"peft_config": {}
|
40 |
+
},
|
41 |
+
"launcher": {
|
42 |
+
"name": "process",
|
43 |
+
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
|
44 |
+
"device_isolation": false,
|
45 |
+
"device_isolation_action": "warn",
|
46 |
+
"start_method": "spawn"
|
47 |
+
},
|
48 |
+
"benchmark": {
|
49 |
+
"name": "energy_star",
|
50 |
+
"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
|
51 |
+
"dataset_name": "EnergyStarAI/text_generation",
|
52 |
+
"dataset_config": "",
|
53 |
+
"dataset_split": "train",
|
54 |
+
"num_samples": 1000,
|
55 |
+
"input_shapes": {
|
56 |
+
"batch_size": 1
|
57 |
+
},
|
58 |
+
"text_column_name": "text",
|
59 |
+
"truncation": true,
|
60 |
+
"max_length": -1,
|
61 |
+
"dataset_prefix1": "",
|
62 |
+
"dataset_prefix2": "",
|
63 |
+
"t5_task": "",
|
64 |
+
"image_column_name": "image",
|
65 |
+
"resize": false,
|
66 |
+
"question_column_name": "question",
|
67 |
+
"context_column_name": "context",
|
68 |
+
"sentence1_column_name": "sentence1",
|
69 |
+
"sentence2_column_name": "sentence2",
|
70 |
+
"audio_column_name": "audio",
|
71 |
+
"iterations": 10,
|
72 |
+
"warmup_runs": 10,
|
73 |
+
"energy": true,
|
74 |
+
"forward_kwargs": {},
|
75 |
+
"generate_kwargs": {
|
76 |
+
"max_new_tokens": 10,
|
77 |
+
"min_new_tokens": 10
|
78 |
+
},
|
79 |
+
"call_kwargs": {}
|
80 |
+
},
|
81 |
+
"environment": {
|
82 |
+
"cpu": " AMD EPYC 7R32",
|
83 |
+
"cpu_count": 48,
|
84 |
+
"cpu_ram_mb": 200472.73984,
|
85 |
+
"system": "Linux",
|
86 |
+
"machine": "x86_64",
|
87 |
+
"platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
88 |
+
"processor": "x86_64",
|
89 |
+
"python_version": "3.9.20",
|
90 |
+
"gpu": [
|
91 |
+
"NVIDIA A10G"
|
92 |
+
],
|
93 |
+
"gpu_count": 1,
|
94 |
+
"gpu_vram_mb": 24146608128,
|
95 |
+
"optimum_benchmark_version": "0.2.0",
|
96 |
+
"optimum_benchmark_commit": null,
|
97 |
+
"transformers_version": "4.44.0",
|
98 |
+
"transformers_commit": null,
|
99 |
+
"accelerate_version": "0.33.0",
|
100 |
+
"accelerate_commit": null,
|
101 |
+
"diffusers_version": "0.30.0",
|
102 |
+
"diffusers_commit": null,
|
103 |
+
"optimum_version": null,
|
104 |
+
"optimum_commit": null,
|
105 |
+
"timm_version": null,
|
106 |
+
"timm_commit": null,
|
107 |
+
"peft_version": null,
|
108 |
+
"peft_commit": null
|
109 |
+
}
|
110 |
+
}
|
text_generation/facebook/opt-125m/generate_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-10-02T14:32:39",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
|
5 |
+
"duration": -1727837410.4084318,
|
6 |
+
"emissions": 0.0013252689506266652,
|
7 |
+
"emissions_rate": 1.702253243044149e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 123.11784199137534,
|
10 |
+
"ram_power": 0.3947925567626953,
|
11 |
+
"cpu_energy": 0.0009191297357791679,
|
12 |
+
"gpu_energy": 0.0026625399078079592,
|
13 |
+
"ram_energy": 8.537690119764018e-06,
|
14 |
+
"energy_consumed": 0.0035902073337068935,
|
15 |
+
"country_name": "United States",
|
16 |
+
"country_iso_code": "USA",
|
17 |
+
"region": "virginia",
|
18 |
+
"cloud_provider": "",
|
19 |
+
"cloud_region": "",
|
20 |
+
"os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
21 |
+
"python_version": "3.9.20",
|
22 |
+
"codecarbon_version": "2.5.1",
|
23 |
+
"cpu_count": 48,
|
24 |
+
"cpu_model": "AMD EPYC 7R32",
|
25 |
+
"gpu_count": 1,
|
26 |
+
"gpu_model": "1 x NVIDIA A10G",
|
27 |
+
"longitude": -77.4903,
|
28 |
+
"latitude": 39.0469,
|
29 |
+
"ram_total_size": 186.7047882080078,
|
30 |
+
"tracking_mode": "process",
|
31 |
+
"on_cloud": "N",
|
32 |
+
"pue": 1.0
|
33 |
+
}
|
text_generation/facebook/opt-125m/prefill_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-10-02T14:19:40",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
|
5 |
+
"duration": -1727837473.2670386,
|
6 |
+
"emissions": 0.00042435537760157193,
|
7 |
+
"emissions_rate": 2.8299430600502376e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 233.0987514386498,
|
10 |
+
"ram_power": 0.39441347122192383,
|
11 |
+
"cpu_energy": 0.0001770507450180401,
|
12 |
+
"gpu_energy": 0.0009709024433880442,
|
13 |
+
"ram_energy": 1.642739305575625e-06,
|
14 |
+
"energy_consumed": 0.0011495959277116607,
|
15 |
+
"country_name": "United States",
|
16 |
+
"country_iso_code": "USA",
|
17 |
+
"region": "virginia",
|
18 |
+
"cloud_provider": "",
|
19 |
+
"cloud_region": "",
|
20 |
+
"os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
21 |
+
"python_version": "3.9.20",
|
22 |
+
"codecarbon_version": "2.5.1",
|
23 |
+
"cpu_count": 48,
|
24 |
+
"cpu_model": "AMD EPYC 7R32",
|
25 |
+
"gpu_count": 1,
|
26 |
+
"gpu_model": "1 x NVIDIA A10G",
|
27 |
+
"longitude": -77.4903,
|
28 |
+
"latitude": 39.0469,
|
29 |
+
"ram_total_size": 186.7047882080078,
|
30 |
+
"tracking_mode": "process",
|
31 |
+
"on_cloud": "N",
|
32 |
+
"pue": 1.0
|
33 |
+
}
|
text_generation/facebook/opt-125m/preprocess_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
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|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-10-02T14:17:09",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "1e133f97-a048-4825-9e0d-bc8c090a6897",
|
5 |
+
"duration": -1727837487.331996,
|
6 |
+
"emissions": 1.0874229269442666e-05,
|
7 |
+
"emissions_rate": 1.1688538176891148e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 71.13126335527004,
|
10 |
+
"ram_power": 0.2835631370544434,
|
11 |
+
"cpu_energy": 1.1007180234739483e-05,
|
12 |
+
"gpu_energy": 1.837834803603e-05,
|
13 |
+
"ram_energy": 7.319982597073878e-08,
|
14 |
+
"energy_consumed": 2.9458728096740222e-05,
|
15 |
+
"country_name": "United States",
|
16 |
+
"country_iso_code": "USA",
|
17 |
+
"region": "virginia",
|
18 |
+
"cloud_provider": "",
|
19 |
+
"cloud_region": "",
|
20 |
+
"os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
21 |
+
"python_version": "3.9.20",
|
22 |
+
"codecarbon_version": "2.5.1",
|
23 |
+
"cpu_count": 48,
|
24 |
+
"cpu_model": "AMD EPYC 7R32",
|
25 |
+
"gpu_count": 1,
|
26 |
+
"gpu_model": "1 x NVIDIA A10G",
|
27 |
+
"longitude": -77.4903,
|
28 |
+
"latitude": 39.0469,
|
29 |
+
"ram_total_size": 186.7047882080078,
|
30 |
+
"tracking_mode": "process",
|
31 |
+
"on_cloud": "N",
|
32 |
+
"pue": 1.0
|
33 |
+
}
|