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Skip test_batch_norm in test_jit_fuser_te for asan (#98016)
it takes 10+ minutes on asan? Pull Request resolved: https://github.com/pytorch/pytorch/pull/98016 Approved by: https://github.com/huydhn
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@ -21,7 +21,7 @@ torch._C._jit_set_profiling_executor(True)
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torch._C._get_graph_executor_optimize(True)
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from torch.testing._internal.common_utils import run_tests, ProfilingMode, GRAPH_EXECUTOR, \
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enable_profiling_mode_for_profiling_tests, slowTest, skipIfTorchDynamo
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enable_profiling_mode_for_profiling_tests, slowTest, skipIfTorchDynamo, TEST_WITH_ASAN
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from torch.testing._internal.jit_utils import JitTestCase, \
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RUN_CUDA, RUN_CUDA_HALF, RUN_CUDA_MULTI_GPU, warmup_backward, set_fusion_group_inlining, \
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clone_inputs, get_traced_sample_variant_pairs, TensorExprTestOptions, NoTracerWarnContextManager
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@ -2199,6 +2199,7 @@ class TestTEFuser(JitTestCase):
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x = torch.ones((8, 1))
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torch.testing.assert_close(eager(x), script(x))
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@unittest.skipIf(TEST_WITH_ASAN, "takes 10+ minutes on asan")
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def test_batch_norm(self):
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def test(fn, args):
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trace = torch.jit.trace(fn, args)
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