Hi,
I try to load PyTorch model (specifically wav2vec2), using the following command:
state_dict = torch.load(model_name.pt)
arg = state_dict['args']
On loading the model, I’m getting errors, and when I tried to print the arg
I found that it was empty.
cfg = convert_namespace_to_omegaconf(state_dict['args'])
File "/data/tanmay/Wav2Keyword/fairseq/dataclass/utils.py", line 371, in convert_namespace_to_omegaconf
if cfg.model is None and getattr(args, "arch", None):
File "/data/tanmay/py_ven_38/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 305, in __getattr__
self._format_and_raise(key=key, value=None, cause=e)
File "/data/tanmay/py_ven_38/lib/python3.8/site-packages/omegaconf/base.py", line 95, in _format_and_raise
format_and_raise(
File "/data/tanmay/py_ven_38/lib/python3.8/site-packages/omegaconf/_utils.py", line 694, in format_and_raise
_raise(ex, cause)
File "/data/tanmay/py_ven_38/lib/python3.8/site-packages/omegaconf/_utils.py", line 610, in _raise
raise ex # set end OC_CAUSE=1 for full backtrace
omegaconf.errors.MissingMandatoryValue: Missing mandatory value: model
full_key: model
reference_type=Optional[Dict[Union[str, Enum], Any]]
object_type=dict
What is the issue, and how can I resolve it?
Versions
PyTorch version: 1.10.1+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 16.04.7 LTS (x86_64)
GCC version: (Ubuntu 5.5.0-12ubuntu1~16.04) 5.5.0 20171010
Clang version: Could not collect
CMake version: version 3.5.2
Libc version: glibc-2.23
Python version: 3.8.9 (default, Apr 3 2021, 01:02:10) [GCC 5.4.0 20160609] (64-bit runtime)
Python platform: Linux-4.4.0-21-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: 12.0.76
CUDA_MODULE_LOADING set to:
GPU models and configuration: GPU 0: Tesla V100-SXM2-32GB
Nvidia driver version: 525.60.13
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.3
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.10.1
[pip3] torchaudio==0.10.1
[pip3] torchvision==0.11.2+rocm4.2
[conda] Could not collect
Thanks