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onnx
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@ -59,7 +59,7 @@ class Paraformer(nn.Module):
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enc, enc_len = self.encoder(**batch)
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mask = self.make_pad_mask(enc_len)[:, None, :]
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pre_acoustic_embeds, pre_token_length, alphas, pre_peak_index = self.predictor(enc, mask)
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pre_token_length = pre_token_length.round().type(torch.int32)
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pre_token_length = pre_token_length.floor().type(torch.int32)
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decoder_out, _ = self.decoder(enc, enc_len, pre_acoustic_embeds, pre_token_length)
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decoder_out = torch.log_softmax(decoder_out, dim=-1)
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