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Fix warnings issue in test_tensor_with_grad_to_scalar_warning #2386

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Merged
merged 1 commit into from
Jul 18, 2025
Merged

Fix warnings issue in test_tensor_with_grad_to_scalar_warning #2386

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9 changes: 3 additions & 6 deletions test/test_torch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@
skipIfRocm, skipIfNoSciPy, TemporaryFileName, TemporaryDirectoryName,
wrapDeterministicFlagAPITest, DeterministicGuard, CudaSyncGuard,
bytes_to_scalar, parametrize, skipIfMPS, noncontiguous_like,
AlwaysWarnTypedStorageRemoval, TEST_WITH_TORCHDYNAMO, xfailIfTorchDynamo)
AlwaysWarnTypedStorageRemoval, TEST_WITH_TORCHDYNAMO, xfailIfTorchDynamo, set_warn_always_context)
from multiprocessing.reduction import ForkingPickler
from torch.testing._internal.common_device_type import (
expectedFailureMeta,
Expand Down Expand Up @@ -10830,8 +10830,8 @@ def test_bf16_supported_on_cpu(self):
self.assertFalse(torch.cuda.is_bf16_supported())

def test_tensor_with_grad_to_scalar_warning(self) -> None:

with warnings.catch_warnings(record=True) as w:
with (warnings.catch_warnings(record=True) as w,
set_warn_always_context(True)):
warnings.simplefilter("always")

x = torch.tensor(2.0, requires_grad=True)
Expand All @@ -10844,9 +10844,6 @@ def test_tensor_with_grad_to_scalar_warning(self) -> None:
str(w[0].message)
)

_ = math.pow(x, 3) # calling it again does not result in a second warning
self.assertEqual(len(w), 1)

# The following block extends TestTorch with negative dim wrapping tests
# FIXME: replace these with OpInfo sample inputs or systemic OpInfo tests
# Functions to test negative dimension wrapping
Expand Down