Model Templates for Seq2Seq (#9251)

* adapt cookie cutter

* fix copy past statement

* delete copy statements for now

* remove unused import from template

* make doc rst

* correct config docstring

* correct training

* correct inputs processing tf enc dec

* make style

* adapt templates

* clean tabs

* correct tensor -> Tensor naming

* correct indent

* correct templates

* fix the test

* break lines to avoid > 119

* Apply suggestions from code review

src/transformers/models/bart/modeling_tf_bart.py

@@ -1077,7 +1077,7 @@ class TFBartModel(TFBartPretrainedModel):
 
         decoder_outputs = self.decoder(
             inputs["decoder_input_ids"],
-            attention_mask=decoder_attention_mask,
+            attention_mask=inputs["decoder_attention_mask"],
             encoder_hidden_states=inputs["encoder_outputs"][0],
             encoder_attention_mask=inputs["attention_mask"],
             past_key_values=inputs["past_key_values"],
@@ -1228,6 +1228,7 @@ class TFBartForConditionalGeneration(TFBartPretrainedModel):
             output_attentions=inputs["output_attentions"],
             output_hidden_states=inputs["output_hidden_states"],
             return_dict=inputs["return_dict"],
+            training=inputs["training"],
         )
         lm_logits = self.model.shared(outputs[0], mode="linear")
         lm_logits = lm_logits + self.final_logits_bias