eval_debug.log

[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