[fix bug] logits's shape different from label's shape in preprocess_l…

…ogits_for_metrics (#31447)

* [fix BUG] pad labels before use it in preprocess_logits_for_metrics

* a more readable fix

labels can't use  `gather` before pass to `preprocess_logits_for_metrics`, so must split into 2 if-block

* add a comment

* oh code quality check

src/transformers/trainer.py

@@ -3839,6 +3839,9 @@ def evaluation_loop(
                 inputs_decode = self.gather_function((inputs_decode))
                 if not self.args.batch_eval_metrics or description == "Prediction":
                     all_inputs.add(inputs_decode)
+            if labels is not None:
+                # Pad labels here, preparing for preprocess_logits_for_metrics in next logits block.
+                labels = self.accelerator.pad_across_processes(labels, dim=1, pad_index=-100)
             if logits is not None:
                 logits = self.accelerator.pad_across_processes(logits, dim=1, pad_index=-100)
                 if self.preprocess_logits_for_metrics is not None:
@@ -3847,7 +3850,6 @@ def evaluation_loop(
                 if not self.args.batch_eval_metrics or description == "Prediction":
                     all_preds.add(logits)
             if labels is not None:
-                labels = self.accelerator.pad_across_processes(labels, dim=1, pad_index=-100)
                 labels = self.gather_function((labels))
                 if not self.args.batch_eval_metrics or description == "Prediction":
                     all_labels.add(labels)