Adding Type Hints to TF_Pegasus model (#21941)

* Adding Type Hints to TF_Pegasus model

* Updated some parameters per maintainer comments

src/transformers/models/pegasus/modeling_tf_pegasus.py

@@ -712,14 +712,14 @@ class TFPegasusEncoder(tf.keras.layers.Layer):
     @unpack_inputs
     def call(
         self,
-        input_ids=None,
-        inputs_embeds=None,
-        attention_mask=None,
-        head_mask=None,
-        output_attentions=None,
-        output_hidden_states=None,
-        return_dict=None,
-        training=False,
+        input_ids: Optional[tf.Tensor] = None,
+        inputs_embeds: Optional[tf.Tensor] = None,
+        attention_mask: Optional[tf.Tensor] = None,
+        head_mask: Optional[tf.Tensor] = None,
+        output_attentions: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
+        training: Optional[bool] = False,
     ):
         """
         Args:
@@ -886,20 +886,20 @@ class TFPegasusDecoder(tf.keras.layers.Layer):
     @unpack_inputs
     def call(
         self,
-        input_ids=None,
-        inputs_embeds=None,
-        attention_mask=None,
-        position_ids=None,
-        encoder_hidden_states=None,
-        encoder_attention_mask=None,
-        head_mask=None,
-        cross_attn_head_mask=None,
-        past_key_values=None,
-        use_cache=None,
-        output_attentions=None,
-        output_hidden_states=None,
-        return_dict=None,
-        training=False,
+        input_ids: Optional[tf.Tensor] = None,
+        inputs_embeds: Optional[tf.Tensor] = None,
+        attention_mask: Optional[tf.Tensor] = None,
+        position_ids: Optional[tf.Tensor] = None,
+        encoder_hidden_states: Optional[tf.Tensor] = None,
+        encoder_attention_mask: Optional[tf.Tensor] = None,
+        head_mask: Optional[tf.Tensor] = None,
+        cross_attn_head_mask: Optional[tf.Tensor] = None,
+        past_key_values: Tuple[Tuple[tf.Tensor]] = None,
+        use_cache: Optional[bool] = None,
+        output_attentions: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
+        training: Optional[bool] = False,
     ):
         r"""
         Args:
@@ -1124,23 +1124,23 @@ class TFPegasusMainLayer(tf.keras.layers.Layer):
     @unpack_inputs
     def call(
         self,
-        input_ids=None,
-        attention_mask=None,
-        decoder_input_ids=None,
-        decoder_attention_mask=None,
-        decoder_position_ids=None,
-        head_mask=None,
-        decoder_head_mask=None,
-        cross_attn_head_mask=None,
+        input_ids: Optional[tf.Tensor] = None,
+        attention_mask: Optional[tf.Tensor] = None,
+        decoder_input_ids: Optional[tf.Tensor] = None,
+        decoder_attention_mask: Optional[tf.Tensor] = None,
+        decoder_position_ids: Optional[tf.Tensor] = None,
+        head_mask: Optional[tf.Tensor] = None,
+        decoder_head_mask: Optional[tf.Tensor] = None,
+        cross_attn_head_mask: Optional[tf.Tensor] = None,
         encoder_outputs: Optional[Union[Tuple, TFBaseModelOutput]] = None,
-        past_key_values=None,
-        inputs_embeds=None,
-        decoder_inputs_embeds=None,
-        use_cache=None,
-        output_attentions=None,
-        output_hidden_states=None,
-        return_dict=None,
-        training=False,
+        past_key_values: Tuple[Tuple[tf.Tensor]] = None,
+        inputs_embeds: Optional[tf.Tensor] = None,
+        decoder_inputs_embeds: Optional[tf.Tensor] = None,
+        use_cache: Optional[bool] = None,
+        output_attentions: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
+        training: Optional[bool] = False,
         **kwargs,
     ):
         if decoder_input_ids is None and decoder_inputs_embeds is None: