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[misc] update pre-commit and run all files (#4752)

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* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format
This commit is contained in:
Hongxin Liu
2023-09-19 14:20:26 +08:00
committed by GitHub
parent 3c6b831c26
commit 079bf3cb26
1268 changed files with 50037 additions and 38444 deletions
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21
tests/test_analyzer/test_subclasses/test_meta_mode.py
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@@ -6,17 +6,22 @@ from packaging import version
from colossalai.testing import clear_cache_before_run, parameterize
try:
from colossalai._analyzer._subclasses import MetaTensor, MetaTensorMode
from colossalai._analyzer._subclasses import MetaTensorMode
except:
pass
from tests.test_analyzer.test_fx.zoo import tm_models, tmm_models
def compare_all(tensor: torch.Tensor, meta_tensor: torch.Tensor):
assert tensor.shape == meta_tensor.shape, f'the shape of tensor ({tensor.shape}) and meta tensor ({meta_tensor.shape}) does not match.'
assert tensor.dtype == meta_tensor.dtype, f'the dtype of tensor ({tensor.dtype}) and meta tensor ({meta_tensor.dtype}) does not match.'
assert tensor.stride() == meta_tensor.stride(
), f'the stride of tensor ({tensor.stride()}) and meta tensor ({meta_tensor.stride()}) does not match.'
assert (
tensor.shape == meta_tensor.shape
), f"the shape of tensor ({tensor.shape}) and meta tensor ({meta_tensor.shape}) does not match."
assert (
tensor.dtype == meta_tensor.dtype
), f"the dtype of tensor ({tensor.dtype}) and meta tensor ({meta_tensor.dtype}) does not match."
assert (
tensor.stride() == meta_tensor.stride()
), f"the stride of tensor ({tensor.stride()}) and meta tensor ({meta_tensor.stride()}) does not match."
def run_and_compare(model):
@@ -31,12 +36,12 @@ def run_and_compare(model):
compare_all(x.grad, meta_x.grad)
@pytest.mark.skipif(version.parse(torch.__version__) < version.parse('1.12.0'), reason='torch version < 12')
@pytest.mark.skipif(version.parse(torch.__version__) < version.parse("1.12.0"), reason="torch version < 12")
@clear_cache_before_run()
@parameterize('m', tm_models + tmm_models)
@parameterize("m", tm_models + tmm_models)
def test_meta_mode_shape(m):
run_and_compare(m())
if __name__ == '__main__':
if __name__ == "__main__":
test_meta_mode_shape(tm.resnet18)