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[1/N] Don't skip ASAN on some tests (#138571)
Clang15's ASAN is new enough so that it's possible to re-evaluate the disabled ASAN tests. Pull Request resolved: https://github.com/pytorch/pytorch/pull/138571 Approved by: https://github.com/ezyang
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@ -14,11 +14,7 @@ from torch.testing._internal.common_device_type import (
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ops,
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ops,
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)
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)
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from torch.testing._internal.common_methods_invocations import DecorateInfo, op_db
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from torch.testing._internal.common_methods_invocations import DecorateInfo, op_db
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from torch.testing._internal.common_utils import (
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from torch.testing._internal.common_utils import run_tests, suppress_warnings
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run_tests,
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suppress_warnings,
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TEST_WITH_ASAN,
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)
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from torch.testing._internal.distributed._tensor.common_dtensor import (
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from torch.testing._internal.distributed._tensor.common_dtensor import (
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DTensorConverter,
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DTensorConverter,
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DTensorOpTestBase,
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DTensorOpTestBase,
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@ -528,7 +524,6 @@ class TestDTensorOps(DTensorOpTestBase):
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# only allow float dytpe for now, we can relax this constraint
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# only allow float dytpe for now, we can relax this constraint
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# when feel necessary later (i.e when adding quantization support).
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# when feel necessary later (i.e when adding quantization support).
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@unittest.skipIf(TEST_WITH_ASAN, "Skipped under ASAN")
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@suppress_warnings
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@suppress_warnings
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@ops(op_db, allowed_dtypes=(torch.float,))
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@ops(op_db, allowed_dtypes=(torch.float,))
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@skipOps("TestDTensorOps", "test_dtensor_op_db", dtensor_fails)
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@skipOps("TestDTensorOps", "test_dtensor_op_db", dtensor_fails)
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@ -4,7 +4,7 @@ import collections
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import unittest
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import unittest
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import torch
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import torch
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from torch.testing._internal.common_utils import run_tests, TEST_WITH_ASAN, TestCase
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from torch.testing._internal.common_utils import run_tests, TestCase
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try:
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try:
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@ -27,7 +27,6 @@ class Network(torch.nn.Module):
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@unittest.skipIf(not HAS_PSUTIL, "Requires psutil to run")
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@unittest.skipIf(not HAS_PSUTIL, "Requires psutil to run")
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@unittest.skipIf(TEST_WITH_ASAN, "Cannot test with ASAN")
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class TestOpenMP_ParallelFor(TestCase):
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class TestOpenMP_ParallelFor(TestCase):
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batch = 20
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batch = 20
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channels = 1
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channels = 1
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