added new merged Trainer test (#11090)

tests/sagemaker/test_multi_node_model_parallel.py

 import os
+import subprocess
 import unittest
 from ast import literal_eval
 
@@ -28,10 +29,23 @@ if is_sagemaker_available():
             "instance_type": "ml.p3dn.24xlarge",
             "results": {"train_runtime": 700, "eval_accuracy": 0.3, "eval_loss": 1.2},
         },
+        {
+            "framework": "pytorch",
+            "script": "run_glue.py",
+            "model_name_or_path": "roberta-large",
+            "instance_type": "ml.p3dn.24xlarge",
+            "results": {"train_runtime": 700, "eval_accuracy": 0.3, "eval_loss": 1.2},
+        },
     ]
 )
 class MultiNodeTest(unittest.TestCase):
     def setUp(self):
+        if self.framework == "pytorch":
+            subprocess.run(
+                f"cp ./examples/text-classification/run_glue.py {self.env.test_path}/run_glue.py".split(),
+                encoding="utf-8",
+                check=True,
+            )
         assert hasattr(self, "env")
 
     def create_estimator(self, instance_count):