support bitransformer decoder

paddlespeech/s2t/exps/u2/model.py

@@ -250,12 +250,9 @@ class U2Trainer(Trainer):
                 model_conf.output_dim = self.train_loader.vocab_size
             else:
                 model_conf.input_dim = self.test_loader.feat_dim
-                model_conf.output_dim = 5538
+                model_conf.output_dim = self.test_loader.vocab_size
 
         model = U2Model.from_config(model_conf)
-        # params = model.state_dict()
-        # paddle.save(params, 'for_torch/test.pdparams')
-        # exit()
         if self.parallel:
             model = paddle.DataParallel(model)
 
@@ -319,6 +316,7 @@ class U2Tester(U2Trainer):
             vocab=self.config.vocab_filepath,
             spm_model_prefix=self.config.spm_model_prefix)
         self.vocab_list = self.text_feature.vocab_list
+        self.reverse_weight = getattr(config, 'reverse_weight', '0.0')
 
     def id2token(self, texts, texts_len, text_feature):
         """ ord() id to chr() chr """
@@ -353,7 +351,7 @@ class U2Tester(U2Trainer):
             decoding_chunk_size=decode_config.decoding_chunk_size,
             num_decoding_left_chunks=decode_config.num_decoding_left_chunks,
             simulate_streaming=decode_config.simulate_streaming,
-            reverse_weight=self.config.model_conf.reverse_weight)
+            reverse_weight=self.reverse_weight)
         decode_time = time.time() - start_time
 
         for utt, target, result, rec_tids in zip(