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Fix device mismatch when using non-default GPUs. #1432

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Fix device mismatch when using non-default GPUs. #1432

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Fix device mismatch when there are multiple GPUs. 
cuda() function will create the tensor on a default device that may differ from the device of tensor 'inverse_transform'.
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@imxtx
imxtx authored Oct 30, 2024
commit 886029845cb1a797ceeb2942c70a8ce3691063da
2 changes: 1 addition & 1 deletion PyTorch/SpeechSynthesis/FastPitch/common/stft.py
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Expand Up @@ -123,7 +123,7 @@ def inverse(self, magnitude, phase):
np.where(window_sum > tiny(window_sum))[0])
window_sum = torch.autograd.Variable(
torch.from_numpy(window_sum), requires_grad=False)
window_sum = window_sum.cuda() if magnitude.is_cuda else window_sum
window_sum = window_sum.cuda(inverse_transform.get_device()) if magnitude.is_cuda else window_sum
inverse_transform[:, :, approx_nonzero_indices] /= window_sum[approx_nonzero_indices]

# scale by hop ratio
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