RuntimeError: "reflection_pad1d_out_template" not implemented for 'Short' : when using separate(...) method

[deepakpawade]

estimates = separate(audio=mix_torch, targets=['podcasts'], model_str_or_path='../scripts/open-unmix-512', device='cuda', rate = rate )
stackstrace :
RuntimeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_14992/3837081952.py in
----> 1 estimates = separate(audio=mix_torch,
2 targets=['podcasts'],
3 model_str_or_path='../scripts/open-unmix-512',
4 device='cuda',
5 rate = rate

d:\InterferenceSeperation\umx_demo\openunmix\predict.py in separate(audio, rate, model_str_or_path, targets, niter, residual, wiener_win_len, aggregate_dict, separator, device, filterbank)
76
77 # getting the separated signals
---> 78 estimates = separator(audio)
79 estimates = separator.to_dict(estimates, aggregate_dict=aggregate_dict)
80 return estimates

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs)
1100 if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
1101 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1102 return forward_call(*input, **kwargs)
1103 # Do not call functions when jit is used
1104 full_backward_hooks, non_full_backward_hooks = [], []

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\openunmix\model.py in forward(self, audio)
256 # getting the STFT of mix:
257 # (nb_samples, nb_channels, nb_bins, nb_frames, 2)
--> 258 mix_stft = self.stft(audio)
259 X = self.complexnorm(mix_stft)
260

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\modules\module.py in _call_impl(self, *input, **kwargs)
1100 if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
1101 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1102 return forward_call(*input, **kwargs)
1103 # Do not call functions when jit is used
1104 full_backward_hooks, non_full_backward_hooks = [], []

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\openunmix\transforms.py in forward(self, x)
97 x = x.view(-1, shape[-1])
98
---> 99 complex_stft = torch.stft(
100 x,
101 n_fft=self.n_fft,

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\functional.py in stft(input, n_fft, hop_length, win_length, window, center, pad_mode, normalized, onesided, return_complex)
568 extended_shape = [1] * (3 - signal_dim) + list(input.size())
569 pad = int(n_fft // 2)
--> 570 input = F.pad(input.view(extended_shape), [pad, pad], pad_mode)
571 input = input.view(input.shape[-signal_dim:])
572 return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]

c:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\functional.py in _pad(input, pad, mode, value)
4177 if len(pad) == 2 and (input.dim() == 2 or input.dim() == 3):
4178 if mode == "reflect":
-> 4179 return torch._C._nn.reflection_pad1d(input, pad)
4180 elif mode == "replicate":
4181 return torch._C._nn.replication_pad1d(input, pad)

RuntimeError: "reflection_pad1d_out_template" not implemented for 'Short'

python 3.9.7
torch 1.10.1+cu113
torchaudio 0.10.1+cu113
torchvision 0.11.2+cu113
cuda 11.7.r11.7

[deepakpawade]

do I need to install cuda 11.3?

[faroit]

@deepakpawade the current master version doesn't support 1.10 yet. The tests still run on torch 1.9. See #112

[deepakpawade]

@deepakpawade the current master version doesn't support 1.10 yet. The tests still run on torch 1.9. See #112

@faroit was having compatibility issues with 1.9.0 + cuda 10.x with other libraries so installed 1.9.1 with cuda 11.1 & still got the same error. Is it strictly dependent on 1.9.0?
cuda 11.1
torch 1.9.1+cu111
torchaudio 0.9.1
torchvision 0.10.1+cu111

[deepakpawade]

Also, can we do it in a different way without using separate(...) method or torch?

[QinHsiu]

I have the sample problem,
RuntimeError: "reflection_pad1d_out_template" not implemented for 'Long'

[faroit]

@deepakpawade can this be closed?

[deepakpawade]

Yes please. @faroit