Files
pytorch/torch/_inductor/test_operators.py
Maggie Moss 9944cac6e6 Add suppressions to torch/_inductor (#165062)
Adds suppressions to pyrefly will typecheck clean: https://github.com/pytorch/pytorch/issues/163283

Split this directory into two PRs to keep them from being too large.

Test plan:
dmypy restart && python3 scripts/lintrunner.py -a
pyrefly check

step 1: delete lines in the pyrefly.toml file from the project-excludes field
step 2: run pyrefly check
step 3: add suppressions, clean up unused suppressions
before: https://gist.github.com/maggiemoss/4b3bf2037014e116bc00706a16aef199

after:
INFO 0 errors (6,884 ignored)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165062
Approved by: https://github.com/oulgen, https://github.com/mlazos
2025-10-09 20:34:20 +00:00

30 lines
862 B
Python

from typing import Any
import torch.library
from torch import Tensor
from torch.autograd import Function
_test_lib_def = torch.library.Library("_inductor_test", "DEF")
_test_lib_def.define("realize(Tensor self) -> Tensor", tags=torch.Tag.pt2_compliant_tag)
_test_lib_impl = torch.library.Library("_inductor_test", "IMPL")
for dispatch_key in ("CPU", "CUDA", "MPS", "Meta"):
_test_lib_impl.impl("realize", lambda x: x.clone(), dispatch_key)
class Realize(Function):
@staticmethod
# pyrefly: ignore # bad-override
def forward(ctx: object, x: Tensor) -> Tensor:
return torch.ops._inductor_test.realize(x)
@staticmethod
# types need to stay consistent with _SingleLevelFunction
def backward(ctx: Any, *grad_output: Any) -> Any:
return grad_output[0]
def realize(x: Tensor) -> Tensor:
return Realize.apply(x)