frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00
Code Issues Packages Projects Releases Wiki Activity

Enable UBSAN tests (#141672)

Browse Source 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/141672
Approved by: https://github.com/ezyang
This commit is contained in:
cyy
2024-11-28 01:55:12 +00:00
committed by PyTorch MergeBot
parent ca9bfa1a38
commit 5ca75ac1df
2 changed files with 3 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
test/quantization/core/test_quantized_functional.py
View File

@ -16,10 +16,7 @@ from torch.testing._internal.common_quantization import (
_make_conv_test_input,
)
from torch.testing._internal.common_quantized import override_quantized_engine
from torch.testing._internal.common_utils import (
IS_PPC,
TEST_WITH_UBSAN,
)
from torch.testing._internal.common_utils import IS_PPC
class TestQuantizedFunctionalOps(QuantizationTestCase):
def test_relu_api(self):
@ -94,7 +91,7 @@ class TestQuantizedFunctionalOps(QuantizationTestCase):
if qengine not in torch.backends.quantized.supported_engines:
return
if qengine == 'qnnpack':
if IS_PPC or TEST_WITH_UBSAN:
if IS_PPC:
return
use_channelwise = False
@ -147,7 +144,7 @@ class TestQuantizedFunctionalOps(QuantizationTestCase):
if qengine not in torch.backends.quantized.supported_engines:
return
if qengine == 'qnnpack':
if IS_PPC or TEST_WITH_UBSAN:
if IS_PPC:
return
input_feature_map_size = (H, W)

1
test/quantization/core/test_quantized_tensor.py
View File

@ -140,7 +140,6 @@ def _compress_uniform_simplified(X, bit_rate, xmin, xmax, fp16_scale_bias=True):
class TestQuantizedTensor(TestCase):
def test_qtensor_equal(self):
# ASAN regression test reported in https://github.com/pytorch/pytorch/issues/116087
x = torch.rand(5)
x_q = torch.quantize_per_tensor(x, 0.1, 10, torch.quint4x2)
y_q = torch.quantize_per_tensor(x, 0.1, 10, torch.quint4x2)