2026-03-31 05:10:20.702285: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2026-03-31 05:10:20.751706: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2026-03-31 05:10:20.751784: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 2026-03-31 05:10:20.754181: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2026-03-31 05:10:20.763781: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2026-03-31 05:10:26.908338: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT /n/home06/scen/.conda/envs/dreamgen/lib/python3.10/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.8 (you have 1.4.18). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1. check_for_updates() /net/holy-isilon/ifs/rc_labs/ydu_lab/sycen/code/syc_test/action-worldmodel-bench/idm/gr00t/model/action_head/cross_attention_dit.py:249: FutureWarning: Accessing config attribute `output_dim` directly via 'DiT' object attribute is deprecated. Please access 'output_dim' over 'DiT's config object instead, e.g. 'unet.config.output_dim'. self.proj_out_2 = nn.Linear(self.inner_dim, self.output_dim) Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher. max_steps is given, it will override any value given in num_train_epochs Loading dataset from egocamera_eef_state ... [IDMCustomDataset] Loaded 32 samples from egocamera_eef_state [IDMCustomDataset] Loading stats from egocamera_eef_state/dataset_stats.json Dataset size: 32 Creating model from IDM_dump/base.yaml ... Total number of DiT parameters: 121992192 Total number of SelfAttentionTransformer parameters: 50384896 Tune action head multi_projector: True Tune action head diffusion model: True Tune action head vision tower: True Tune action head mm_projector: True Tune action head vl_mixing: True total number of parameters: %e 611610848 action_dim=7, action_horizon=16 Total params: 636,802,274 Trainable: 611,610,848 Starting training... 0%| | 0/32000 [00:00