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游雁

2023-02-09 e6d127b0c92543db4f988149687db2bac4e41f33

 funasr/models/predictor/cif.py

@@ -598,7 +598,8 @@
            mask_2 = torch.cat([ones_t, mask], dim=1)

            mask = mask_2 - mask_1

            tail_threshold = mask * tail_threshold

            alphas = torch.cat([alphas, tail_threshold], dim=1)

            alphas = torch.cat([alphas, zeros_t], dim=1)

            alphas = torch.add(alphas, tail_threshold)

        else:

            tail_threshold = torch.tensor([tail_threshold], dtype=alphas.dtype).to(alphas.device)

            tail_threshold = torch.reshape(tail_threshold, (1, 1))