diff --git a/tests/ut/python/parallel/test_auto_parallel_resnet.py b/tests/ut/python/parallel/test_auto_parallel_resnet.py index 726b3f356f714a467eeea6fc91b2578cff2b0129..a563efb06d2df79b79f920ec96df3faa9aea8fa0 100644 --- a/tests/ut/python/parallel/test_auto_parallel_resnet.py +++ b/tests/ut/python/parallel/test_auto_parallel_resnet.py @@ -273,7 +273,7 @@ class DatasetLenet(): return 1 -def train_32k_8p(epoch_size=3, batch_size=32, num_classes=32768): +def test_train_32k_8p(epoch_size=3, batch_size=32, num_classes=32768): dev_num = 8 context.set_auto_parallel_context(parallel_mode=ParallelMode.AUTO_PARALLEL, device_num=dev_num) set_algo_parameters(elementwise_op_strategy_follow=True) @@ -308,7 +308,7 @@ def train_32k_8p_fusion1(epoch_size=3, batch_size=32, num_classes=32768): #10485 cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_algorithm=1) cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_times=2) cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_tail_percent=0.5) - allreduce_fusion_dict = train_32k_8p(epoch_size, batch_size, num_classes) + allreduce_fusion_dict = test_train_32k_8p(epoch_size, batch_size, num_classes) expect_dict = {'end_point.bias': 2, 'end_point.weight': 2, 'layer4.2.bn3.beta': 2, @@ -481,7 +481,7 @@ def train_32k_8p_fusion2(epoch_size=3, batch_size=32, num_classes=32768): #10485 cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_allreduce_inherent_time=0.05) cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_allreduce_bandwidth=0.000001) cost_model_context.set_cost_model_context(costmodel_allreduce_fusion_computation_time_parameter=0.0000015) - allreduce_fusion_dict = train_32k_8p(epoch_size, batch_size, num_classes) + allreduce_fusion_dict = test_train_32k_8p(epoch_size, batch_size, num_classes) expect_dict = {'end_point.bias': 2, 'end_point.weight': 2, 'layer4.2.bn3.beta': 2,