remove "inputs" in tf common test script (no longer required) (#15262)

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/test_modeling_tf_common.py

@@ -377,10 +377,6 @@ class TFModelTesterMixin:
                 else:
                     pt_inputs_dict[name] = torch.from_numpy(key.numpy()).to(torch.long)
 
-            # need to rename encoder-decoder "inputs" for PyTorch
-            if "inputs" in pt_inputs_dict and self.is_encoder_decoder:
-                pt_inputs_dict["input_ids"] = pt_inputs_dict.pop("inputs")
-
             with torch.no_grad():
                 pto = pt_model(**pt_inputs_dict)
             tfo = tf_model(self._prepare_for_class(inputs_dict, model_class), training=False)
@@ -422,9 +418,6 @@ class TFModelTesterMixin:
                     pt_inputs_dict[name] = torch.from_numpy(key.numpy()).to(torch.float32)
                 else:
                     pt_inputs_dict[name] = torch.from_numpy(key.numpy()).to(torch.long)
-            # need to rename encoder-decoder "inputs" for PyTorch
-            if "inputs" in pt_inputs_dict and self.is_encoder_decoder:
-                pt_inputs_dict["input_ids"] = pt_inputs_dict.pop("inputs")
 
             with torch.no_grad():
                 pto = pt_model(**pt_inputs_dict)