Merge pull request #2267 from modelscope/dev_sx2

Shi Xian

2024-12-05 0efc87352ce7d3903dbdedbfa5d01ca5e1cb19e7

 funasr/models/bicif_paraformer/cif_predictor.py

@@ -198,7 +198,7 @@
            output2 = self.upsample_cnn(_output)

            output2 = output2.transpose(1, 2)

            output2, _ = self.self_attn(output2, mask)

        # import pdb; pdb.set_trace()

        
        alphas2 = torch.sigmoid(self.cif_output2(output2))

        alphas2 = torch.nn.functional.relu(alphas2 * self.smooth_factor2 - self.noise_threshold2)

        # repeat the mask in T demension to match the upsampled length