fix bug on win

paddlespeech/audio/utils/tensor_utils.py

@@ -237,7 +237,7 @@ def st_reverse_pad_list(ys_pad: paddle.Tensor,
     #   >>> r_hyps = reverse_pad_list(r_hyps, r_hyps_lens, float(self.ignore_id))
     #   >>> r_hyps, _ = add_sos_eos(r_hyps, self.sos, self.eos, self.ignore_id)
     B = ys_pad.shape[0]
-    _sos = paddle.ones([B, 1], dtype=ys_pad.dtype) * sos
+    _sos = paddle.full([B, 1], sos, dtype=ys_pad.dtype)
     max_len = paddle.max(ys_lens)
     index_range = paddle.arange(0, max_len, 1)
     seq_len_expand = ys_lens.unsqueeze(1)
@@ -279,7 +279,8 @@ def st_reverse_pad_list(ys_pad: paddle.Tensor,
     #   >>> tensor([[3, 2, 1],
     #   >>>         [4, 8, 9],
     #   >>>         [2, 2, 2]])
-    r_hyps = paddle.where(seq_mask, r_hyps, eos)
+    _eos = paddle.full([1], eos, dtype=r_hyps.dtype)
+    r_hyps = paddle.where(seq_mask, r_hyps, _eos)
     #   >>> r_hyps
     #   >>> tensor([[3, 2, 1],
     #   >>>         [4, 8, 9],

paddlespeech/s2t/models/u2/u2.py

@@ -600,7 +600,7 @@ class U2BaseModel(ASRInterface, nn.Layer):
                     r_score += r_decoder_out[i][len(hyp[0]) - j - 1][w]
                 r_score += r_decoder_out[i][len(hyp[0])][self.eos]
 
-                logger.info(
+                logger.debug(
                     f"hyp {i} len {len(hyp[0])} r2l score: {r_score} ctc_score: {hyp[1]} reverse_weight: {reverse_weight}"
                 )