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@ -770,20 +770,24 @@ class HDemucs(nn.Module):
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x = x.view(B, S, -1, Fq, T)
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x = x.view(B, S, -1, Fq, T)
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x = x * std[:, None] + mean[:, None]
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x = x * std[:, None] + mean[:, None]
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# to cpu as mps doesnt support complex numbers
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# to cpu as non-cuda GPUs don't support complex numbers
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# demucs issue #435 ##432
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# demucs issue #435 ##432
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# NOTE: in this case z already is on cpu
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# NOTE: in this case z already is on cpu
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# TODO: remove this when mps supports complex numbers
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# TODO: remove this when mps supports complex numbers
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x_is_mps = x.device.type == "mps"
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if x_is_mps:
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device_type = x.device.type
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device_load = f"{device_type}:{x.device.index}" if not device_type == 'mps' else device_type
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x_is_other_gpu = not device_type in ["cuda", "cpu"]
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if x_is_other_gpu:
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x = x.cpu()
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x = x.cpu()
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zout = self._mask(z, x)
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zout = self._mask(z, x)
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x = self._ispec(zout, length)
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x = self._ispec(zout, length)
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# back to mps device
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# back to other device
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if x_is_mps:
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if x_is_other_gpu:
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x = x.to('mps')
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x = x.to(device_load)
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if self.hybrid:
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if self.hybrid:
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xt = xt.view(B, S, -1, length)
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xt = xt.view(B, S, -1, length)
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@ -625,12 +625,16 @@ class HTDemucs(nn.Module):
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x = x.view(B, S, -1, Fq, T)
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x = x.view(B, S, -1, Fq, T)
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x = x * std[:, None] + mean[:, None]
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x = x * std[:, None] + mean[:, None]
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# to cpu as mps doesnt support complex numbers
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# to cpu as non-cuda GPUs don't support complex numbers
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# demucs issue #435 ##432
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# demucs issue #435 ##432
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# NOTE: in this case z already is on cpu
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# NOTE: in this case z already is on cpu
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# TODO: remove this when mps supports complex numbers
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# TODO: remove this when mps supports complex numbers
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x_is_mps = x.device.type == "mps"
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if x_is_mps:
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device_type = x.device.type
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device_load = f"{device_type}:{x.device.index}" if not device_type == 'mps' else device_type
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x_is_other_gpu = not device_type in ["cuda", "cpu"]
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if x_is_other_gpu:
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x = x.cpu()
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x = x.cpu()
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zout = self._mask(z, x)
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zout = self._mask(z, x)
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@ -642,9 +646,9 @@ class HTDemucs(nn.Module):
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else:
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else:
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x = self._ispec(zout, length)
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x = self._ispec(zout, length)
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# back to mps device
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# back to other device
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if x_is_mps:
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if x_is_other_gpu:
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x = x.to("mps")
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x = x.to(device_load)
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if self.use_train_segment:
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if self.use_train_segment:
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if self.training:
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if self.training:
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@ -11,8 +11,11 @@ import torch as th
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def spectro(x, n_fft=512, hop_length=None, pad=0):
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def spectro(x, n_fft=512, hop_length=None, pad=0):
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*other, length = x.shape
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*other, length = x.shape
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x = x.reshape(-1, length)
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x = x.reshape(-1, length)
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is_mps = x.device.type == 'mps'
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if is_mps:
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device_type = x.device.type
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is_other_gpu = not device_type in ["cuda", "cpu"]
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if is_other_gpu:
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x = x.cpu()
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x = x.cpu()
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z = th.stft(x,
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z = th.stft(x,
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n_fft * (1 + pad),
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n_fft * (1 + pad),
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@ -32,8 +35,11 @@ def ispectro(z, hop_length=None, length=None, pad=0):
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n_fft = 2 * freqs - 2
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n_fft = 2 * freqs - 2
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z = z.view(-1, freqs, frames)
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z = z.view(-1, freqs, frames)
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win_length = n_fft // (1 + pad)
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win_length = n_fft // (1 + pad)
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is_mps = z.device.type == 'mps'
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if is_mps:
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device_type = z.device.type
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is_other_gpu = not device_type in ["cuda", "cpu"]
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if is_other_gpu:
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z = z.cpu()
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z = z.cpu()
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x = th.istft(z,
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x = th.istft(z,
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n_fft,
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n_fft,
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