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!76 [Auto parallel] Refining the strategy_checking for resnset50 

Merge pull request !76 from Xiaoda/modify-resnet50-strategy-checking
This commit is contained in:
mindspore-ci-bot 2020-04-01 16:36:13 +08:00 committed by Gitee
parent 0baf602ddb fb6eed23ae
commit a47046652a
1 changed files with 6 additions and 6 deletions
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12
tests/ut/python/parallel/test_auto_parallel_resnet.py
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@ -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]]