cleaning up configuration classes

templates/adding_a_new_model/configuration_xxx.py

@@ -39,7 +39,7 @@ class XxxConfig(PretrainedConfig):
 
 
         Arguments:
-            vocab_size_or_config_json_file: Vocabulary size of `inputs_ids` in `XxxModel`.
+            vocab_size: Vocabulary size of `inputs_ids` in `XxxModel`.
             hidden_size: Size of the encoder layers and the pooler layer.
             num_hidden_layers: Number of hidden layers in the Transformer encoder.
             num_attention_heads: Number of attention heads for each attention layer in
@@ -64,7 +64,7 @@ class XxxConfig(PretrainedConfig):
     pretrained_config_archive_map = XXX_PRETRAINED_CONFIG_ARCHIVE_MAP
 
     def __init__(self,
-                 vocab_size_or_config_json_file=50257,
+                 vocab_size=50257,
                  n_positions=1024,
                  n_ctx=1024,
                  n_embd=768,
@@ -84,7 +84,7 @@ class XxxConfig(PretrainedConfig):
                  summary_first_dropout=0.1,
                  **kwargs):
         super(XxxConfig, self).__init__(**kwargs)
-        self.vocab_size = vocab_size_or_config_json_file if isinstance(vocab_size_or_config_json_file, six.string_types) else -1
+        self.vocab_size = vocab_size if isinstance(vocab_size, six.string_types) else -1
         self.n_ctx = n_ctx
         self.n_positions = n_positions
         self.n_embd = n_embd
@@ -102,12 +102,12 @@ class XxxConfig(PretrainedConfig):
         self.summary_activation = summary_activation
         self.summary_first_dropout = summary_first_dropout
         self.summary_proj_to_labels = summary_proj_to_labels
-        if isinstance(vocab_size_or_config_json_file, six.string_types):
-            with open(vocab_size_or_config_json_file, "r", encoding="utf-8") as reader:
+        if isinstance(vocab_size, six.string_types):
+            with open(vocab_size, "r", encoding="utf-8") as reader:
                 json_config = json.loads(reader.read())
             for key, value in json_config.items():
                 self.__dict__[key] = value
-        elif not isinstance(vocab_size_or_config_json_file, int):
+        elif not isinstance(vocab_size, int):
             raise ValueError(
                 "First argument must be either a vocabulary size (int)"
                 "or the path to a pretrained model config file (str)"

templates/adding_a_new_model/tests/modeling_tf_xxx_test.py

@@ -111,7 +111,7 @@ class TFXxxModelTest(TFCommonTestCases.TFCommonModelTester):
                 choice_labels = ids_tensor([self.batch_size], self.num_choices)
 
             config = XxxConfig(
-                vocab_size_or_config_json_file=self.vocab_size,
+                vocab_size=self.vocab_size,
                 hidden_size=self.hidden_size,
                 num_hidden_layers=self.num_hidden_layers,
                 num_attention_heads=self.num_attention_heads,

templates/adding_a_new_model/tests/modeling_xxx_test.py

@@ -109,7 +109,7 @@ class XxxModelTest(CommonTestCases.CommonModelTester):
                 choice_labels = ids_tensor([self.batch_size], self.num_choices)
 
             config = XxxConfig(
-                vocab_size_or_config_json_file=self.vocab_size,
+                vocab_size=self.vocab_size,
                 hidden_size=self.hidden_size,
                 num_hidden_layers=self.num_hidden_layers,
                 num_attention_heads=self.num_attention_heads,