cannot reshape tensor of 0 elements into shape [-1, 0]

[chonghaozhang1998]

When the input tensor shape is [1, 800] or [1, 320] and When I use the following code

mel_tensor = wav2mel(wav_tensor, 16000) # 16000 is the sample rate

I met with the following error:

Traceback of TorchScript, serialized code (most recent call last): File "code/torch/data/wav2mel.py", line 20, in forward sample_rate: int) -> Tensor: wav_tensor0 = (self.sox_effects).forward(wav_tensor, sample_rate, ) mel_tensor = (self.log_melspectrogram).forward(wav_tensor0, ) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE return mel_tensor class SoxEffects(Module): File "code/torch/data/wav2mel.py", line 43, in forward def forward(self: torch.data.wav2mel.LogMelspectrogram, wav_tensor: Tensor) -> Tensor: _3 = (self.melspectrogram).forward(wav_tensor, ) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE mel_tensor = torch.numpy_T(torch.squeeze(_3, 0)) _4 = torch.clamp(mel_tensor, 1.0000000000000001e-09, None) File "code/torch/torchaudio/transforms.py", line 20, in forward def forward(self: torch.torchaudio.transforms.MelSpectrogram, waveform: Tensor) -> Tensor: specgram = (self.spectrogram).forward(waveform, ) ~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE mel_specgram = (self.mel_scale).forward(specgram, ) return mel_specgram File "code/torch/torchaudio/transforms.py", line 41, in forward waveform: Tensor) -> Tensor: _0 = torch.torchaudio.functional.functional.spectrogram _1 = _0(waveform, 0, self.window, 400, 160, 400, 2., False, self.center, self.pad_mode, self.onesided, ) ~~ <--- HERE return _1 class MelScale(Module): File "code/torch/torchaudio/functional/functional.py", line 18, in spectrogram waveform0 = waveform shape = torch.size(waveform0) waveform2 = torch.reshape(waveform0, [-1, shape[-1]]) ~~~~~~~~~~~~~ <--- HERE spec_f = torch.torch.functional.stft(waveform2, n_fft, hop_length, win_length, window, center, pad_mode, False, onesided, True, ) _0 = torch.slice(shape, 0, -1, 1)

Traceback of TorchScript, original code (most recent call last): File "/home/yist/.pyenv/versions/3.8.5/lib/python3.8/site-packages/torchaudio/transforms.py", line 96, in forward Fourier bins, and time is the number of window hops (n_frame). """ return F.spectrogram( ~~~~~~~~~~~~~ <--- HERE waveform, self.pad, File "/home/yist/.pyenv/versions/3.8.5/lib/python3.8/site-packages/torchaudio/functional/functional.py", line 88, in spectrogram # pack batch shape = waveform.size() waveform = waveform.reshape(-1, shape[-1]) ~~~~~~~~~~~~~~~~ <--- HERE

# default values are consistent with librosa.core.spectrum._spectrogram

RuntimeError: cannot reshape tensor of 0 elements into shape [-1, 0] because the unspecified dimension size -1 can be any value and is ambiguous

How can I solve this problem?

[MiniXC]

Check the length of your audio files, this was only happening for very short clips for me.

[med1844]

In my case, substituting wav2mel.pt with source code of class Wav2Mel in data/wav2mel.py and delete ["silence", ...] in self.effects solves the problem.