Bug report - Device cuda does not work

🐛 Bug

I would like to use cuda to compute the vad. Your tookit has an argument for it: https://github.com/snakers4/silero-vad/blob/a345715b8fc2d24b2991ec5d54c7588c64b9f9c7/utils_vad.py#L174

But it crashes when I set device to 'cuda' (the input wav is also correctly set to("cuda")). Does your toolkit support it ? BTW, Thanks for your awesome work on this toolkit! :+1:

Traceback (most recent call last):
  File "/lium/raid01_b/pchampi/lab/venv/bin/extract_xvectors.py", line 7, in <module>
    exec(compile(f.read(), __file__, 'exec'))
  File "/lium/raid01_b/pchampi/lab/sidekit/bin/extract_xvectors.py", line 157, in <module>
    main(xtractor, args.wav_scp, args.out_scp, args.device, args.vad, args.vad_num_samples_per_window, args.vad_min_silence_samples)
  File "/lium/raid01_b/pchampi/labvenv/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/lium/raid01_b/pchampi/lab/sidekit/bin/extract_xvectors.py", line 123, in main
    speech_timestamps = get_speech_ts_adaptive(signal.to("cuda"), model,
  File "/lium/home/pchampi/.cache/torch/hub/snakers4_silero-vad_a345715/utils_vad.py", line 227, in get_speech_ts_adaptive
    chunks = torch.Tensor(torch.cat(to_concat, dim=0)).to(device)
TypeError: expected CPU (got CUDA)

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

snakers4 / silero-vad

Bug report - Device cuda does not work #113

🐛 Bug

Environment