fix test_save_load with pickle (#14410)

* fix test_save_load with pickle

test=develop

* fix test_save_load with pickle

test=develop

* fix test_save_load with pickle

test=develop

python/paddle/fluid/tests/unittests/dist_save_load.py

@@ -26,6 +26,7 @@ from multiprocessing import Process
 from functools import reduce
 
 import numpy as np
+import pickle
 import unittest
 import six
 
@@ -166,7 +167,10 @@ class TestDistSaveLoad2x2(TestDistSimnetBow2x2):
                 io.save_persistables(startup_exe, model_dir, trainer_prog)
 
         var = np.array(fluid.global_scope().find_var('__fc_b__').get_tensor())
-        print(np.ravel(var).tolist())
+        if six.PY2:
+            print(pickle.dumps(np.ravel(var).tolist()))
+        else:
+            sys.stdout.buffer.write(pickle.dumps(np.ravel(var).tolist()))
 
 
 if __name__ == "__main__":

python/paddle/fluid/tests/unittests/test_dist_save_load.py

@@ -65,14 +65,14 @@ class TestDistSaveLoadDense2x2(TestDistBase):
 
         shutil.rmtree(model_dir)
 
-        local_np = np.array(eval(local_var[0]))
-        train0_np = np.array(eval(tr0_var[0]))
-        train1_np = np.array(eval(tr1_var[0]))
+        local_np = np.array(local_var)
+        train0_np = np.array(tr0_var)
+        train1_np = np.array(tr1_var)
+
         self.assertAlmostEqual(local_np.all(), train0_np.all(), delta=delta)
         self.assertAlmostEqual(local_np.all(), train1_np.all(), delta=delta)
         self.assertAlmostEqual(train0_np.all(), train1_np.all(), delta=delta)
 
-    @unittest.skip(reason="CI fail")
     def test_dist(self):
         need_envs = {
             "IS_DISTRIBUTED": '0',