MimicMotion/inference.py", line 89, in main
pipeline = create_pipeline(infer_config, device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/MimicMotion/mimicmotion/utils/loader.py", line 43, in create_pipeline
mimicmotion_models.load_state_dict(torch.load(infer_config.ckpt_path, map_location=device), strict=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
anaconda3/envs/mm/lib/python3.11/site-packages/torch/serialization.py", line 815, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
anaconda3/envs/mm/lib/python3.11/site-packages/torch/serialization.py", line 1033, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
MimicMotion/inference.py", line 89, in main pipeline = create_pipeline(infer_config, device) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/MimicMotion/mimicmotion/utils/loader.py", line 43, in create_pipeline mimicmotion_models.load_state_dict(torch.load(infer_config.ckpt_path, map_location=device), strict=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
anaconda3/envs/mm/lib/python3.11/site-packages/torch/serialization.py", line 815, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
anaconda3/envs/mm/lib/python3.11/site-packages/torch/serialization.py", line 1033, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args)