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Temporary disable TestNumbaIntegration.test_from_cuda_array_interface* (#54430)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54430 see https://github.com/pytorch/pytorch/issues/54429 Test Plan: Imported from OSS Reviewed By: mruberry Differential Revision: D27232636 Pulled By: pbelevich fbshipit-source-id: 15fb69828a23cb6f3c173a7863bd55bf4973f408
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@ -229,6 +229,7 @@ class TestNumbaIntegration(common.TestCase):
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numba.cuda.as_cuda_array(cudat), numba.cuda.devicearray.DeviceNDArray
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)
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@unittest.skip("Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418")
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@unittest.skipIf(not TEST_NUMPY, "No numpy")
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@unittest.skipIf(not TEST_CUDA, "No cuda")
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@unittest.skipIf(not TEST_NUMBA_CUDA, "No numba.cuda")
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@ -314,6 +315,7 @@ class TestNumbaIntegration(common.TestCase):
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torch_ary = torch.as_tensor(numba_ary, device="cuda")
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self.assertTrue(torch_ary.is_contiguous())
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@unittest.skip("Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418")
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@unittest.skipIf(not TEST_NUMPY, "No numpy")
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@unittest.skipIf(not TEST_CUDA, "No cuda")
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@unittest.skipIf(not TEST_NUMBA_CUDA, "No numba.cuda")
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@ -325,6 +327,7 @@ class TestNumbaIntegration(common.TestCase):
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del numba_ary
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self.assertEqual(torch_ary.cpu().data.numpy(), numpy.arange(6)) # `torch_ary` is still alive
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@unittest.skip("Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418")
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@unittest.skipIf(not TEST_NUMPY, "No numpy")
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@unittest.skipIf(not TEST_CUDA, "No cuda")
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@unittest.skipIf(not TEST_NUMBA_CUDA, "No numba.cuda")
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