Upload policy_checkpoints/CoffeePreparation_D1/2025-02-03-00-25-12_E32.0-CoffeePreparation_D1-375-nominal-125-boost/wandb/run-20250203_044752-sxyourhr/files/output.log with huggingface_hub

policy_checkpoints/CoffeePreparation_D1/2025-02-03-00-25-12_E32.0-CoffeePreparation_D1-375-nominal-125-boost/wandb/run-20250203_044752-sxyourhr/files/output.log

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+Traceback (most recent call last):                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  
+  File "/mnt/data1/kevin/autom/adaflow/train.py", line 36, in <module>
+    main()
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/main.py", line 94, in decorated_main
+    _run_hydra(
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
+    _run_app(
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/_internal/utils.py", line 457, in _run_app
+    run_and_report(
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
+    return func()
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
+    lambda: hydra.run(
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/_internal/hydra.py", line 119, in run
+    ret = run_job(
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/hydra/core/utils.py", line 186, in run_job
+    ret.return_value = task_function(task_cfg)
+  File "/mnt/data1/kevin/autom/adaflow/train.py", line 33, in main
+    workspace.run()
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/workspace/train_diffusion_unet_image_workspace.py", line 194, in run
+    raw_loss = self.model.compute_loss(batch)
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/policy/diffusion_unet_image_policy.py", line 215, in compute_loss
+    nobs_features = self.obs_encoder(this_nobs)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/model/vision/multi_image_obs_encoder.py", line 281, in forward
+    img = self.key_transform_map[key](img)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/container.py", line 250, in forward
+    input = module(input)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+  File "/mnt/data1/kevin/miniforge3/envs/adaflow/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/model/vision/crop_randomizer.py", line 122, in forward
+    return self.forward_in(inputs)
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/model/vision/crop_randomizer.py", line 88, in forward_in
+    out, _ = sample_random_image_crops(
+  File "/mnt/data1/kevin/autom/adaflow/adaflow/model/vision/crop_randomizer.py", line 277, in sample_random_image_crops
+    crop_inds_h = (max_sample_h * torch.rand(*source_im.shape[:-3], num_crops).to(device)).long()
+KeyboardInterrupt