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carry to cuda
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@@ -100,6 +100,8 @@ def train(model, criterion, criterion_st, data_loader, optimizer, epoch):
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mel_spec = mel_spec.cuda()
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mel_lengths = mel_lengths.cuda()
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linear_spec = linear_spec.cuda()
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stop_target = stop_target.cuda()
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# create attention mask
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if c.mk > 0.0:
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@@ -241,6 +243,7 @@ def evaluate(model, criterion, criterion_st, data_loader, current_step):
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mel_spec = mel_spec.cuda()
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mel_lengths = mel_lengths.cuda()
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linear_spec = linear_spec.cuda()
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stop_target = stop_target.cuda()
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# forward pass
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mel_output, linear_output, alignments, stop_tokens =\
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