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Enable all SIM rules except disabled ones (#164645)

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`SIM` rules are useful for simplifying boolean expressions and enhances code readability.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164645
Approved by: https://github.com/ezyang, https://github.com/mlazos
This commit is contained in:
Yuanyuan Chen
2025-10-17 07:27:06 +00:00
committed by PyTorch MergeBot
parent f1d882212a
commit e925dfcc6b
54 changed files with 98 additions and 134 deletions
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6
test/test_torchfuzz_repros.py
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@ -359,7 +359,9 @@ class TestFuzzerCompileIssues(TestCase):
t3 = arg1 # size=(1,), stride=(1,), dtype=int64, device=cuda
t4 = arg2 # size=(1,), stride=(1,), dtype=int64, device=cuda
t5 = t3 + t3 + t4 # size=(1,), stride=(1,), dtype=int64, device=cuda
t6 = torch.exp(t5) # size=(1,), stride=(1,), dtype=int64, device=cuda
t6 = torch.exp( # noqa: F841
t5
) # size=(1,), stride=(1,), dtype=int64, device=cuda # noqa: F841
t7 = torch.nn.functional.layer_norm(
t2, (111,)
) # size=(49, 112, 111), stride=(12432, 111, 1), dtype=float32, device=cuda
@ -436,7 +438,7 @@ class TestFuzzerCompileIssues(TestCase):
torch.manual_seed(9)
def foo(arg0):
var_node_1 = arg0 # size=(1, 2), stride=(2, 1), dtype=int64, device=cuda
var_node_1 = arg0 # size=(1, 2), stride=(2, 1), dtype=int64, device=cuda # noqa: F841
var_node_5 = torch.full(
(1, 2), -66, dtype=torch.int32
) # size=(1, 2), stride=(2, 1), dtype=int32, device=cuda