| [robosuite WARNING] No private macro file found! (__init__.py:7) | |
| [robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) | |
| [robosuite WARNING] To setup, run: python /user/hominhduy.nguyen01/u24877/.local/lib/python3.10/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) | |
| Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality. | |
| Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade. | |
| Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases. | |
| See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information. | |
| <frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute | |
| <frozen importlib._bootstrap>:241: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute | |
| /user/hominhduy.nguyen01/u24877/.local/lib/python3.10/site-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. | |
| if LooseVersion(numpy.__version__) >= "1.19": | |
| /projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/setuptools/_distutils/version.py:336: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. | |
| other = LooseVersion(other) | |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. | |
| /projects/extern/kisski/kisski-spath/dir.project/VLA_Groot/in_context_learning/ricl_openpi/libero_config/libero_config.yaml | |
| Traceback (most recent call last): | |
| File "/mnt/vast-kisski/projects/kisski-spath/VLA_Groot/in_context_learning/ricl_openpi/scripts/eval_ricl_libero_v2.py", line 804, in <module> | |
| main(args) | |
| File "/mnt/vast-kisski/projects/kisski-spath/VLA_Groot/in_context_learning/ricl_openpi/scripts/eval_ricl_libero_v2.py", line 751, in main | |
| policy = RiclPolicyLibero( | |
| File "/mnt/vast-kisski/projects/kisski-spath/VLA_Groot/in_context_learning/ricl_openpi/scripts/eval_ricl_libero_v2.py", line 211, in __init__ | |
| self.encoder = DINOv2Encoder(dino_path, device) | |
| File "/mnt/vast-kisski/projects/kisski-spath/VLA_Groot/in_context_learning/ricl_openpi/scripts/eval_ricl_libero_v2.py", line 115, in __init__ | |
| self.model = AutoModel.from_pretrained(model_path, local_files_only=True).to(self.device) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3110, in to | |
| return super().to(*args, **kwargs) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1355, in to | |
| return self._apply(convert) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 915, in _apply | |
| module._apply(fn) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 915, in _apply | |
| module._apply(fn) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 915, in _apply | |
| module._apply(fn) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 942, in _apply | |
| param_applied = fn(param) | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1341, in convert | |
| return t.to( | |
| File "/projects/extern/kisski/kisski-spath/dir.project/VLA_3D/miniconda3/envs/pitorch_doanh/lib/python3.10/site-packages/torch/cuda/__init__.py", line 372, in _lazy_init | |
| torch._C._cuda_init() | |
| RuntimeError: No CUDA GPUs are available | |
| sys:1: DeprecationWarning: builtin type swigvarlink has no __module__ attribute | |