Merge branch 'release/3.0-beta2' of https://github.com/PaddlePaddle/P…

…addleNLP into origin_release_3.0-beta2

paddlenlp/trainer/trainer.py

@@ -2921,8 +2921,10 @@ def evaluation_loop(
         prediction_loss_only = prediction_loss_only if prediction_loss_only is not None else args.prediction_loss_only
 
         if self.args.pipeline_parallel_degree > 1:
+            from paddle.distributed.fleet.meta_parallel import PipelineLayer
+
             # Only accept wrapped model for pipeline_parallel mode
-            if self.model is self.model_wrapped:
+            if self.model is self.model_wrapped and isinstance(self.model_wrapped, PipelineLayer):
                 # NOTE(gongenlei): when do_train=False, do_eval=True, we need to wrap model for pipeline
                 self.model_wrapped = fleet.distributed_model(self.model_wrapped)
             model = self.model_wrapped