嘉渊
2023-05-26 f6d93c8b69aedac540e59803f83cad61068e45d7
funasr/models/encoder/conformer_encoder.py
@@ -1078,7 +1078,7 @@
                limit_size,
            )
        mask = make_source_mask(x_len)
        mask = make_source_mask(x_len).to(x.device)
        if self.unified_model_training:
            chunk_size = self.default_chunk_size + torch.randint(-self.jitter_range, self.jitter_range+1, (1,)).item()