Make logs tf compliant (#9565)

src/transformers/modeling_tf_utils.py

@@ -285,7 +285,7 @@ def booleans_processing(config, **kwargs):
             or kwargs["output_hidden_states"] is not None
             or ("use_cache" in kwargs and kwargs["use_cache"] is not None)
         ):
-            logger.warning(
+            tf.print(
                 "The parameters `output_attentions`, `output_hidden_states` and `use_cache` cannot be updated when calling a model."
                 "They have to be set to True/False in the config object (i.e.: `config=XConfig.from_pretrained('name', output_attentions=True)`)."
             )
@@ -294,7 +294,7 @@ def booleans_processing(config, **kwargs):
         final_booleans["output_hidden_states"] = config.output_hidden_states
 
         if kwargs["return_dict"] is not None:
-            logger.warning("The parameter `return_dict` cannot be set in graph mode and will always be set to `True`.")
+            tf.print("The parameter `return_dict` cannot be set in graph mode and will always be set to `True`.")
         final_booleans["return_dict"] = True
 
         if "use_cache" in kwargs: