when run onnx vad example, it showed the error

[snakers4]

when run onnx vad example, it showed the error

import torch
import onnxruntime
from pprint import pprint

_, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',
                              model='silero_vad',
                              force_reload=True)

(get_speech_ts,
 _,_,
 read_audio,
 _, _, _) = utils

files_dir = torch.hub.get_dir() + '/snakers4_silero-vad_master/files'

def init_onnx_model(model_path: str):
    return onnxruntime.InferenceSession(model_path)

def validate_onnx(model, inputs):
    with torch.no_grad():
        ort_inputs = {'input': inputs.cpu().numpy()}
        outs = model.run(None, ort_inputs)
        outs = [torch.Tensor(x) for x in outs]
    return outs

model = init_onnx_model(f'{files_dir}/model.onnx')
wav = read_audio(f'{files_dir}/en.wav')

# get speech timestamps from full audio file
speech_timestamps = get_speech_ts(wav, model, num_steps=4, run_function=validate_onnx)
pprint(speech_timestamps)

Traceback (most recent call last):
File "1.py", line 30, in
speech_timestamps = get_speech_ts(wav, model, num_steps=4, run_function=validate_onnx)
File "/home/gary/.cache/torch/hub/snakers4_silero-vad_master/utils_vad.py", line 112, in get_speech_ts
outs = torch.cat(outs, dim=0)
TypeError: expected Tensor as element 0 in argument 0, but got list

Originally posted by @garymmi in #58

[snakers4]

@adamnsandle

another but after mini models release

[snakers4]

@garymmi

Please check that this solves your problem
#60

[snakers4]

I suppose this issue should be fixed