TF: unpack inputs on Convbert, GPTJ, LED, and templates (huggingface#…

…16491)

* Add unpack_inputs to remaining models

* remove stray use of inputs in the templates; fix tf.debugging of attn masks

src/transformers/models/bart/modeling_tf_bart.py

@@ -943,12 +943,12 @@ def call(
         # check if head_mask and cross_attn_head_mask have a correct number of layers specified if desired
         # The tf.debugging asserts are not compliant with XLA then they
         # have to be disabled in other modes than eager.
-        for attn_mask in [head_mask, cross_attn_head_mask]:
+        for attn_mask_name, attn_mask in [("head_mask", head_mask), ("cross_attn_head_mask", cross_attn_head_mask)]:
             if attn_mask is not None and tf.executing_eagerly():
                 tf.debugging.assert_equal(
                     shape_list(attn_mask)[0],
                     len(self.layers),
-                    message=f"The {attn_mask} should be specified for {len(self.layers)} layers, but it is for {shape_list(attn_mask)[0]}.",
+                    message=f"The {attn_mask_name} should be specified for {len(self.layers)} layers, but it is for {shape_list(attn_mask)[0]}.",
                 )
 
         for idx, decoder_layer in enumerate(self.layers):