Bug report - loading error

[pchampio]

🐛 Bug

Loading the model with hub.load fails

To Reproduce

base $~ python3Python 3.8.5 (default, Sep  4 2020, 07:30:14)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> import torchaudio
>>> import soundfile
>>>
>>> torch.__version__
'1.8.2+cu102'
>>> torchaudio.__version__
'0.8.2'
>>> soundfile.__version__
'0.10.3'
>>> model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad:a345715',
...                               model='silero_vad')
Using cache found in /lium/home/pchampi/.cache/torch/hub/snakers4_silero-vad_a345715
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/lium/raid01_b/pchampi/lab/sidekit-for-vpc/venv/lib/python3.8/site-packages/torch/hub.py", line 339, in load
    model = _load_local(repo_or_dir, model, *args, **kwargs)
  File "/lium/raid01_b/pchampi/lab/sidekit-for-vpc/venv/lib/python3.8/site-packages/torch/hub.py", line 368, in _load_local
    model = entry(*args, **kwargs)
  File "/lium/home/pchampi/.cache/torch/hub/snakers4_silero-vad_a345715/hubconf.py", line 24, in silero_vad
    model = init_jit_model(model_path=f'{hub_dir}/snakers4_silero-vad_master/files/model.jit')
  File "/lium/home/pchampi/.cache/torch/hub/snakers4_silero-vad_a345715/utils_vad.py", line 74, in init_jit_model
    model = torch.jit.load(model_path, map_location=device)
  File "/lium/raid01_b/pchampi/lab/sidekit-for-vpc/venv/lib/python3.8/site-packages/torch/jit/_serialization.py", line 161, in load
    cpp_module = torch._C.import_ir_module(cu, str(f), map_location, _extra_files)
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript, serialized code (most recent call last):
  File "code/__torch__/torch/nn/quantized/modules/linear.py", line 17, in __setstate__
    state: Tuple[Tensor, Optional[Tensor], bool, int]) -> None:
    self.dtype = (state)[3]
    _1 = (self).set_weight_bias((state)[0], (state)[1], )
          ~~~~~~~~~~~~~~~~~~~~~ <--- HERE
    self.training = (state)[2]
    return None
  File "code/__torch__/torch/nn/quantized/modules/linear.py", line 40, in set_weight_bias
    _10 = "Unsupported dtype on dynamic quantized linear!"
    if torch.eq(self.dtype, 12):
      _11 = ops.quantized.linear_prepack(weight, bias)
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
      self._packed_params = _11
    else:

Traceback of TorchScript, original code (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/quantized/modules/linear.py", line 93, in __setstate__
    def __setstate__(self, state):
        self.dtype = state[3]
        self.set_weight_bias(state[0], state[1])
        ~~~~~~~~~~~~~~~~~~~~ <--- HERE
        self.training = state[2]
  File "/opt/conda/lib/python3.8/site-packages/torch/nn/quantized/modules/linear.py", line 23, in set_weight_bias
    def set_weight_bias(self, weight: torch.Tensor, bias: Optional[torch.Tensor]) -> None:
        if self.dtype == torch.qint8:
            self._packed_params = torch.ops.quantized.linear_prepack(weight, bias)
                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
        elif self.dtype == torch.float16:
            self._packed_params = torch.ops.quantized.linear_prepack_fp16(weight, bias)
RuntimeError: Didn't find engine for operation quantized::linear_prepack NoQEngine

>>>

Environment

Collecting environment information...
PyTorch version: 1.8.2+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A

OS: Debian GNU/Linux 10 (buster) (x86_64)
GCC version: (Debian 8.3.0-6) 8.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.28

Python version: 3.8.5 (default, Sep  4 2020, 07:30:14)  [GCC 7.3.0] (64-bit runtime)
Python platform: Linux-4.19.0-8-amd64-x86_64-with-glibc2.10
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.21.3
[pip3] torch==1.8.2+cu102
[pip3] torchaudio==0.8.2
[pip3] torchvision==0.9.2+cu102
[conda] numpy                     1.21.3                   pypi_0    pypi
[conda] torch                     1.8.2+cu102              pypi_0    pypi
[conda] torchaudio                0.8.2                    pypi_0    pypi
[conda] torchvision               0.9.2+cu102              pypi_0    pypi

[pchampio]

I'm running this on:

vendor_id       : GenuineIntel
cpu family      : 6
model           : 44
model name      : Intel(R) Xeon(R) CPU           X5650  @ 2.67GHz