forked from mrq/DL-Art-School
tolong
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@ -641,7 +641,7 @@ class ContrastiveTrainingWrapper(nn.Module):
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mel[:, freq_start:freq_start+freq_mask_width] = 0
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# Build input masks from inp_lengths if possible.
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attention_mask = torch.ones_like(mel)
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attention_mask = torch.ones_like(mel).long()
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if inp_lengths is not None:
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inp_lengths = inp_lengths // self.inp_length_factor
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for i, l in enumerate(inp_lengths):
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