{ "models": { "encoder": { "name": "SparseStructureEncoder", "args": { "in_channels": 1, "latent_channels": 8, "num_res_blocks": 2, "num_res_blocks_middle": 2, "channels": [32, 128, 512], "use_fp16": true } }, "decoder": { "name": "SparseStructureDecoder", "args": { "out_channels": 1, "latent_channels": 8, "num_res_blocks": 2, "num_res_blocks_middle": 2, "channels": [512, 128, 32], "use_fp16": true } } }, "dataset": { "name": "SparseStructure", "args": { "resolution": 64, "min_aesthetic_score": 4.5 } }, "trainer": { "name": "SparseStructureVaeTrainer", "args": { "max_steps": 1000000, "batch_size_per_gpu": 4, "batch_split": 1, "optimizer": { "name": "AdamW", "args": { "lr": 1e-4, "weight_decay": 0.0 } }, "ema_rate": [ 0.9999 ], "fp16_mode": "inflat_all", "fp16_scale_growth": 0.001, "grad_clip": { "name": "AdaptiveGradClipper", "args": { "max_norm": 1.0, "clip_percentile": 95 } }, "i_log": 500, "i_sample": 10000, "i_save": 10000, "loss_type": "dice", "lambda_kl": 0.001 } } }