refining strategy-checking for resnet50

tests/ut/python/parallel/test_auto_parallel_resnet.py

@@ -295,11 +295,11 @@ def test_train_32k_8p(epoch_size=3, batch_size=32, num_classes=32768): #1048576
     model.train(5, dataset, dataset_sink_mode=False)
     strategies = _executor._get_strategy(model._train_network)
     for (k, v) in strategies.items():
-        if re.match(k, 'Conv2D-op') is not None:
+        if re.search('Conv2D-op', k) is not None:
             assert v[0][0] == dev_num
-        elif re.match(k, 'MatMul-op') is not None:
+        elif re.search('MatMul-op', k) is not None:
             assert v == [[dev_num, 1], [1, 1]]
-        elif re.match(k, 'ReduceSum-op') is not None:
+        elif re.search('ReduceSum-op', k) is not None:
             assert v == [[dev_num, 1]]
 
     allreduce_fusion_dict = _executor._get_allreduce_fusion(model._train_network)
@@ -490,9 +490,9 @@ def test_train_64k_8p(epoch_size=3, batch_size=32, num_classes=65536): #1048576
     model.train(5, dataset, dataset_sink_mode=False)
     strategies = _executor._get_strategy(model._train_network)
     for (k, v) in strategies.items():
-        if re.match(k, 'Conv2D-op') is not None:
+        if re.search('Conv2D-op', k ) is not None:
             assert v[0][0] == dev_num
-        elif re.match(k, 'MatMul-op') is not None:
+        elif re.search('MatMul-op', k) is not None:
             assert v == [[1, 1], [dev_num, 1]]
-        elif re.match(k, 'ReduceSum-op') is not None:
+        elif re.search('ReduceSum-op', k) is not None:
             assert v == [[1, dev_num]]