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modify frequency to fix daily ci

This commit is contained in:
王程浩 2022-04-06 12:35:54 +00:00 committed by cheng-hao-wang
parent 980f304b1f
commit 40b29b9d28
2 changed files with 3 additions and 3 deletions
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4
tests/st/networks/models/resnet50/src_thor/config.py
View File

@ -19,7 +19,7 @@ from easydict import EasyDict as ed
config = ed({ config = ed({
"class_num": 1001, "class_num": 1001,
"batch_size": 32, "batch_size": 64,
"loss_scale": 128, "loss_scale": 128,
"momentum": 0.9, "momentum": 0.9,
"weight_decay": 5e-4, "weight_decay": 5e-4,
@ -33,7 +33,7 @@ config = ed({
"save_checkpoint_path": "./", "save_checkpoint_path": "./",
"label_smooth": 1, "label_smooth": 1,
"label_smooth_factor": 0.1, "label_smooth_factor": 0.1,
"frequency": 834, "frequency": 2048,
"eval_interval": 1, "eval_interval": 1,
"eval_batch_size": 32, "eval_batch_size": 32,
"train_image_size": 224, "train_image_size": 224,

2
tests/st/networks/models/resnet50/test_resnet50_imagenet_and_thor.py
View File

@ -339,7 +339,7 @@ def thor_end(device_num, q):
assert thor_cost < 30 assert thor_cost < 30
@pytest.mark.level1 @pytest.mark.level0
@pytest.mark.platform_arm_ascend_training @pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training @pytest.mark.platform_x86_ascend_training
@pytest.mark.env_single @pytest.mark.env_single