rvc / extract_f0_feature.log
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['extract_f0_print.py', '/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test', '30', 'harvest']
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f0ing,now-12,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/25_0.wav
f0ing,now-24,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/384_1.wav
f0ing,now-36,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/520_2.wav
f0ing,now-48,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/654_1.wav
todo-f0-60
f0ing,now-0,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/115_0.wav
f0ing,now-12,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/25_2.wav
f0ing,now-24,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/384_3.wav
f0ing,now-36,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/521_0.wav
f0ing,now-48,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/655_0.wav
todo-f0-60
f0ing,now-0,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/115_1.wav
f0ing,now-12,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/25_3.wav
f0ing,now-24,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/385_0.wav
f0ing,now-36,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/521_1.wav
f0ing,now-48,all-60,-/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test/1_16k_wavs/655_1.wav
['extract_feature_print.py', 'cuda:0', '1', '0', '0', '/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test']
/home/ubuntu/Retrieval-based-Voice-Conversion-WebUI/logs/mi-test
load model(s) from hubert_base.pt
move model to cuda
all-feature-1809
Traceback (most recent call last):
File "extract_feature_print.py", line 92, in <module>
logits = model.extract_features(**inputs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 535, in extract_features
res = self.forward(
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 437, in forward
features = self.forward_features(source)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 392, in forward_features
features = self.feature_extractor(source)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/wav2vec/wav2vec2.py", line 895, in forward
x = conv(x)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 217, in forward
input = module(input)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 313, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 309, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Calculated padded input size per channel: (2). Kernel size: (3). Kernel size can't be greater than actual input size
Traceback (most recent call last):
File "extract_feature_print.py", line 92, in <module>
logits = model.extract_features(**inputs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 535, in extract_features
res = self.forward(
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 437, in forward
features = self.forward_features(source)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/hubert/hubert.py", line 392, in forward_features
features = self.feature_extractor(source)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/fairseq/models/wav2vec/wav2vec2.py", line 895, in forward
x = conv(x)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 217, in forward
input = module(input)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 313, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 309, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Calculated padded input size per channel: (1). Kernel size: (2). Kernel size can't be greater than actual input size
all-feature-done