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Skip test_none_names_refcount under Dynamo-wrapped CI (#118309)
Fixes https://github.com/pytorch/pytorch/issues/117716 Dynamo does some things that modifies the refcount. Skipping this test. Pull Request resolved: https://github.com/pytorch/pytorch/pull/118309 Approved by: https://github.com/ydwu4, https://github.com/yanboliang, https://github.com/albanD ghstack dependencies: #118152
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@ -2,6 +2,7 @@
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import unittest
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from torch.testing._internal.common_utils import TestCase, run_tests, TEST_NUMPY
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from torch.testing._internal.common_utils import skipIfTorchDynamo
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from torch.testing._internal.common_cuda import TEST_CUDA
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from torch.testing._internal.common_device_type import get_all_device_types
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from collections import namedtuple, OrderedDict
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@ -148,6 +149,7 @@ class TestNamedTensor(TestCase):
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names65 = ['A' * i for i in range(1, 66)]
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x = factory([1] * 65, names=names64, device=device)
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@skipIfTorchDynamo("not a bug: Dynamo causes the refcounts to be different")
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def test_none_names_refcount(self, N=10):
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def scope():
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unnamed = torch.empty(2, 3)
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@ -1874,7 +1874,6 @@ dynamo_expected_failures = {
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"TestNamedTensor.test_addcmul_addcdiv", # test_namedtensor
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"TestNamedTensor.test_big_tensor_repr_has_names", # test_namedtensor
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"TestNamedTensor.test_unsupported_op_error_msg", # test_namedtensor
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"TestNamedTensor.test_none_names_refcount", # test_namedtensor
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"TestNamedTensor.test_addmm", # test_namedtensor
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"TestNamedTensor.test_pow_special", # test_namedtensor
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"TestNamedTensor.test_autograd_ignores_names", # test_namedtensor
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