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stft.py: moving window_sum to cuda if magnitude is cuda

experiments
rafaelvalle 2019-03-15 14:36:56 -07:00
parent f2c94d94fd
commit fc0d34cfce
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stft.py
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@ -124,6 +124,7 @@ class STFT(torch.nn.Module):
np.where(window_sum > tiny(window_sum))[0]) np.where(window_sum > tiny(window_sum))[0])
window_sum = torch.autograd.Variable( window_sum = torch.autograd.Variable(
torch.from_numpy(window_sum), requires_grad=False) torch.from_numpy(window_sum), requires_grad=False)
window_sum = window_sum.cuda() if magnitude.is_cuda else window_sum
inverse_transform[:, :, approx_nonzero_indices] /= window_sum[approx_nonzero_indices] inverse_transform[:, :, approx_nonzero_indices] /= window_sum[approx_nonzero_indices]
# scale by hop ratio # scale by hop ratio