Adding prepare_decoder_input_ids_from_labels methods to all...

Adding prepare_decoder_input_ids_from_labels methods to all ConditionalGeneration TF models (#12560)

src/transformers/models/bart/modeling_tf_bart.py

@@ -1494,6 +1494,9 @@ class TFBartForConditionalGeneration(TFBartPretrainedModel, TFCausalLanguageMode
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return shift_tokens_right(labels, self.config.pad_token_id, self.config.decoder_start_token_id)
+
     @staticmethod
     def _reorder_cache(past, beam_idx):
         if len(past) == 1:

src/transformers/models/led/modeling_tf_led.py

@@ -2522,6 +2522,9 @@ class TFLEDForConditionalGeneration(TFLEDPreTrainedModel):
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return shift_tokens_right(labels, self.config.pad_token_id, self.config.decoder_start_token_id)
+
     @staticmethod
     def _reorder_cache(past, beam_idx):
         if len(past) == 1:

src/transformers/models/marian/modeling_tf_marian.py

@@ -1522,6 +1522,9 @@ class TFMarianMTModel(TFMarianPreTrainedModel, TFCausalLanguageModelingLoss):
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return shift_tokens_right(labels, self.config.pad_token_id, self.config.decoder_start_token_id)
+
     @staticmethod
     # Copied from transformers.models.bart.modeling_tf_bart.TFBartForConditionalGeneration._reorder_cache
     def _reorder_cache(past, beam_idx):

src/transformers/models/mbart/modeling_tf_mbart.py

@@ -1506,6 +1506,9 @@ class TFMBartForConditionalGeneration(TFMBartPreTrainedModel, TFCausalLanguageMo
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return shift_tokens_right(labels, self.config.pad_token_id)
+
     @staticmethod
     # Copied from transformers.models.bart.modeling_tf_bart.TFBartForConditionalGeneration._reorder_cache
     def _reorder_cache(past, beam_idx):

src/transformers/models/pegasus/modeling_tf_pegasus.py

@@ -1531,6 +1531,9 @@ class TFPegasusForConditionalGeneration(TFPegasusPreTrainedModel, TFCausalLangua
             "use_cache": use_cache,  # change this to avoid caching (presumably for debugging)
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return shift_tokens_right(labels, self.config.pad_token_id, self.config.decoder_start_token_id)
+
     @staticmethod
     # Copied from transformers.models.bart.modeling_tf_bart.TFBartForConditionalGeneration._reorder_cache
     def _reorder_cache(past, beam_idx):

src/transformers/models/t5/modeling_tf_t5.py

@@ -1499,6 +1499,9 @@ class TFT5ForConditionalGeneration(TFT5PreTrainedModel, TFCausalLanguageModeling
             "use_cache": use_cache,
         }
 
+    def prepare_decoder_input_ids_from_labels(self, labels: tf.Tensor):
+        return self._shift_right(labels)
+
     def _reorder_cache(self, past, beam_idx) -> Tuple:
         # if decoder past is not included in output
         # speedy decoding is disabled and no need to reorder