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[fx] fixed unit tests for torch 1.12 (#1327)

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This commit is contained in:
Frank Lee
2022-07-15 18:22:15 +08:00
committed by GitHub
parent d49708ae43
commit b2475d8c5c
17 changed files with 2 additions and 18 deletions
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1
tests/test_fx/test_pipeline/test_hf_model/test_albert.py
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@@ -7,7 +7,6 @@ BATCH_SIZE = 2
SEQ_LENGHT = 16
@pytest.mark.skip("error with pytorch 1.10")
def test_single_sentence_albert():
MODEL_LIST = [
transformers.AlbertModel,

1
tests/test_fx/test_pipeline/test_hf_model/test_bert.py
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@@ -7,7 +7,6 @@ BATCH_SIZE = 2
SEQ_LENGHT = 16
@pytest.mark.skip("error with pytorch 1.10")
def test_single_sentence_bert():
MODEL_LIST = [
transformers.BertModel,

1
tests/test_fx/test_pipeline/test_hf_model/test_gpt.py
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@@ -9,7 +9,6 @@ NUM_EPOCHS = 2
NUM_CHUNKS = 1
@pytest.mark.skip("error with pytorch 1.10")
def test_gpt():
MODEL_LIST = [
transformers.GPT2Model,

1
tests/test_fx/test_pipeline/test_hf_model/test_opt.py
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@@ -7,7 +7,6 @@ BATCH_SIZE = 1
SEQ_LENGHT = 16
@pytest.mark.skip("error with pytorch 1.10")
def test_opt():
MODEL_LIST = [
transformers.OPTModel,

1
tests/test_fx/test_pipeline/test_hf_model/test_t5.py
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@@ -7,7 +7,6 @@ BATCH_SIZE = 1
SEQ_LENGHT = 16
@pytest.mark.skip("error with pytorch 1.10")
def test_t5():
MODEL_LIST = [
transformers.T5Model,

2
tests/test_fx/test_pipeline/test_timm_model/test_timm.py
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@@ -7,7 +7,6 @@ except:
from timm_utils import split_model_and_compare_output
@pytest.mark.skip('skip as timm is required')
def test_timm_models_without_control_flow():
MODEL_LIST = [
@@ -28,7 +27,6 @@ def test_timm_models_without_control_flow():
split_model_and_compare_output(model, data)
@pytest.mark.skip('skip as timm is required')
def test_timm_models_with_control_flow():
torch.backends.cudnn.deterministic = True

1
tests/test_fx/test_pipeline/test_torchvision/test_torchvision.py
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@@ -19,7 +19,6 @@ torch.manual_seed(MANUAL_SEED)
torch.backends.cudnn.deterministic = True
@pytest.mark.skip('skip as torchvision is required')
def test_torchvision_models():
MODEL_LIST = [
tm.vgg11, tm.resnet18, tm.densenet121, tm.mobilenet_v3_small, tm.resnext50_32x4d, tm.wide_resnet50_2,