rename the config.feat_size and the config.vocab.size to input_size and output_size

examples/librispeech/asr1/RESULTS.md

@@ -24,4 +24,4 @@
 | transformer | 32.52 M | conf/transformer.yaml | spec_aug  | test-clean | attention | 6.725063021977743 | 0.047417 |  
 | transformer | 32.52 M | conf/transformer.yaml | spec_aug  | test-clean | ctc_greedy_search | 6.725063021977743 | 0.053922 |  
 | transformer | 32.52 M | conf/transformer.yaml | spec_aug  | test-clean | ctc_prefix_beam_search | 6.725063021977743 | 0.053180 |  
-| transformer | 32.52 M | conf/transformer.yaml | spec_aug  | test-clean | attention_rescoring | 6.725063021977743 | 0.041026 |  
+| transformer | 32.52 M | conf/transformer.yaml | spec_aug  | test-clean | attention_rescoring | 6.725063021977743 | 0.041026 |  

paddlespeech/s2t/exps/deepspeech2/bin/test_hub.py

@@ -110,8 +110,8 @@ class DeepSpeech2Tester_hub():
     def setup_model(self):
         config = self.config.clone()
         with UpdateConfig(config):
-            config.model.feat_size = self.collate_fn_test.feature_size
-            config.model.dict_size = self.collate_fn_test.vocab_size
+            config.model.input_dim = self.collate_fn_test.feature_size
+            config.model.output_dim = self.collate_fn_test.vocab_size
 
         if self.args.model_type == 'offline':
             model = DeepSpeech2Model.from_config(config.model)

paddlespeech/s2t/exps/deepspeech2/model.py

@@ -154,11 +154,11 @@ class DeepSpeech2Trainer(Trainer):
         config = self.config.clone()
         with UpdateConfig(config):
             if self.train:
-                config.model.feat_size = self.train_loader.collate_fn.feature_size
-                config.model.dict_size = self.train_loader.collate_fn.vocab_size
+                config.model.input_dim = self.train_loader.collate_fn.feature_size
+                config.model.output_dim = self.train_loader.collate_fn.vocab_size
             else:
-                config.model.feat_size = self.test_loader.collate_fn.feature_size
-                config.model.dict_size = self.test_loader.collate_fn.vocab_size
+                config.model.input_dim = self.test_loader.collate_fn.feature_size
+                config.model.output_dim = self.test_loader.collate_fn.vocab_size
 
         if self.args.model_type == 'offline':
             model = DeepSpeech2Model.from_config(config.model)

paddlespeech/s2t/models/ds2/deepspeech2.py

@@ -249,8 +249,8 @@ class DeepSpeech2Model(nn.Layer):
             The model built from config.
         """
         model = cls(
-            feat_size=config.feat_size,
-            dict_size=config.dict_size,
+            feat_size=config.input_dim,
+            dict_size=config.output_dim,
             num_conv_layers=config.num_conv_layers,
             num_rnn_layers=config.num_rnn_layers,
             rnn_size=config.rnn_layer_size,

paddlespeech/s2t/models/ds2_online/deepspeech2.py

@@ -381,8 +381,8 @@ class DeepSpeech2ModelOnline(nn.Layer):
             The model built from config.
         """
         model = cls(
-            feat_size=config.feat_size,
-            dict_size=config.dict_size,
+            feat_size=config.input_dim,
+            dict_size=config.output_dim,
             num_conv_layers=config.num_conv_layers,
             num_rnn_layers=config.num_rnn_layers,
             rnn_size=config.rnn_layer_size,