Generate: delete unused TF `_reorder_cache` (#20964)

src/transformers/models/whisper/modeling_tf_whisper.py

@@ -1386,11 +1386,3 @@ class TFWhisperForConditionalGeneration(TFWhisperPreTrainedModel, TFCausalLangua
             "decoder_attention_mask": decoder_attention_mask,
             "decoder_position_ids": decoder_position_ids,
         }
-
-    #
-    @staticmethod
-    def _reorder_cache(past, beam_idx):
-        reordered_past = ()
-        for layer_past in past:
-            reordered_past += (tuple(tf.gather(past_state, beam_idx) for past_state in layer_past),)
-        return reordered_past

src/transformers/models/xglm/modeling_tf_xglm.py

@@ -992,10 +992,3 @@ class TFXGLMForCausalLM(TFXGLMPreTrainedModel, TFCausalLanguageModelingLoss):
             attentions=attns,
             cross_attentions=cross_attns,
         )
-
-    @staticmethod
-    def _reorder_cache(past, beam_idx):
-        reordered_past = ()
-        for layer_past in past:
-            reordered_past += (tuple(tf.gather(past_state, beam_idx, axis=0) for past_state in layer_past),)
-        return reordered_past

templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py

@@ -3028,13 +3028,6 @@ class TF{{cookiecutter.camelcase_modelname}}ForConditionalGeneration(TF{{cookiec
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
-    @staticmethod
-    def _reorder_cache(past, beam_idx):
-        reordered_past = ()
-        for layer_past in past:
-            reordered_past += (tuple(tf.gather(past_state, beam_idx, axis=0) for past_state in layer_past),)
-        return reordered_past
-
     def hf_compute_loss(self, labels, logits):
         """CrossEntropyLoss that ignores pad tokens"""
         loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(