Remove superflous/misplaced TestFailure specs

The tests are in class `TestInductorDynamic` which isn't affected by the `test_failures` dict which is only used as an argument to `copy_tests` for the `CommonTemplate` defined in another file.
This commit is contained in:
Alexander Grund
2025-10-21 15:23:11 +02:00
committed by Alexander Grund
parent 3cfbf98ea9
commit 7c5043aae8

View File

@ -31,7 +31,6 @@ from torch.testing._internal.common_utils import (
serialTest,
TEST_CUDA_MEM_LEAK_CHECK,
TEST_WITH_ASAN,
TEST_WITH_ROCM,
)
from torch.testing._internal.inductor_utils import (
GPU_TYPE,
@ -93,17 +92,6 @@ if not torch._inductor.config.cpp_wrapper:
("cuda",)
)
if TEST_WITH_ROCM:
# Tensor-likes are not close
test_failures["test_dynamic_stride_nobreak"] = TestFailure(
("cpu", "cuda"), is_skip=True
)
test_failures["test_item_to_inputs_kernel_nobreak"] = TestFailure(
("cpu", "cuda"), is_skip=True
)
test_failures["test_unbacked_reduction"] = TestFailure(("cpu"), is_skip=True)
if any(os.getenv("BUILD_ENVIRONMENT", "").endswith(x) for x in ("-debug", "-asan")):
# Fails with TORCH_INTERNAL_ASSERT(!is_heap_allocated()), see https://github.com/pytorch/pytorch/issues/130073
# After https://github.com/pytorch/pytorch/pull/161586, starts failing UBSAN so we can't even xfail.