Generate: remove near-duplicate sample/greedy copy (#30773)

src/transformers/models/musicgen/modeling_musicgen.py

@@ -1739,7 +1739,7 @@ class MusicgenForCausalLM(MusicgenPreTrainedModel):
                 )
 
             # 11. run greedy search
-            outputs = self._greedy_search(
+            outputs = self._sample(
                 input_ids,
                 logits_processor=logits_processor,
                 stopping_criteria=stopping_criteria,
@@ -2832,7 +2832,7 @@ class MusicgenForConditionalGeneration(PreTrainedModel):
                 )
 
             # 11. run greedy search
-            outputs = self._greedy_search(
+            outputs = self._sample(
                 input_ids,
                 logits_processor=logits_processor,
                 stopping_criteria=stopping_criteria,

src/transformers/models/musicgen_melody/modeling_musicgen_melody.py

@@ -1676,7 +1676,7 @@ class MusicgenMelodyForCausalLM(MusicgenMelodyPreTrainedModel):
                 )
 
             # 11. run greedy search
-            outputs = self._greedy_search(
+            outputs = self._sample(
                 input_ids,
                 logits_processor=logits_processor,
                 stopping_criteria=stopping_criteria,
@@ -2691,7 +2691,7 @@ class MusicgenMelodyForConditionalGeneration(PreTrainedModel):
                 )
 
             # 11. run greedy search
-            outputs = self._greedy_search(
+            outputs = self._sample(
                 input_ids,
                 logits_processor=logits_processor,
                 stopping_criteria=stopping_criteria,

src/transformers/models/rag/modeling_rag.py

@@ -1550,7 +1550,7 @@ class RagTokenForGeneration(RagPreTrainedModel):
                     f"num_return_sequences has to be 1, but is {generation_config.num_return_sequences} when doing"
                     " greedy search."
                 )
-            return self._greedy_search(
+            return self._sample(
                 input_ids,
                 logits_processor=pre_processor,
                 stopping_criteria=prepared_stopping_criteria,