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Blacklisting more flaky tests
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pjh5 committed Oct 15, 2018
1 parent 0366df7 commit bdb968c
Showing 1 changed file with 48 additions and 5 deletions.
53 changes: 48 additions & 5 deletions run_tests.sh
Original file line number Diff line number Diff line change
Expand Up @@ -93,6 +93,15 @@ tests_to_skip+=('RendezvousEnvTest and test_common_errors')
# test_trace_warn isn't actually flaky, but it doesn't work with pytest so we
# just skip it
tests_to_skip+=('TestJit and test_trace_warn')
#
# Python specific flaky tests
##############################################################################

# test_dataloader.py:721: AssertionError
# looks like a timeout, but interestingly only appears on python 3
if [[ "$py_ver" == 3* ]]; then
tests_to_skip+=('TestDataLoader and test_proper_exit')
fi

#
# CUDA flaky tests, all package types
Expand Down Expand Up @@ -191,11 +200,45 @@ if [[ "$cuda_ver" != 'cpu' ]]; then
tests_to_skip+=('TestDistBackend and test_broadcast')

# Memory leak very similar to all the conda ones below, but appears on manywheel
if [[ "$cuda_ver" != 'cpu' ]]; then
# 3.6m_cu80
# AssertionError: 1605632 not less than or equal to 1e-05 : __main__.TestEndToEndHybridFrontendModels.test_vae_cuda leaked 1605632 bytes CUDA memory on device 0
tests_to_skip+=('TestEndToEndHybridFrontendModels and test_vae_cuda')
fi
# 3.6m_cu80
# AssertionError: 1605632 not less than or equal to 1e-05 : __main__.TestEndToEndHybridFrontendModels.test_vae_cuda leaked 1605632 bytes CUDA memory on device 0
tests_to_skip+=('TestEndToEndHybridFrontendModels and test_vae_cuda')

# ________________________ TestNN.test_embedding_bag_cuda ________________________
#
# self = <test_nn.TestNN testMethod=test_embedding_bag_cuda>
# dtype = torch.float32
#
# @unittest.skipIf(not TEST_CUDA, "CUDA unavailable")
# @repeat_test_for_types(ALL_TENSORTYPES)
# @skipIfRocm
# def test_embedding_bag_cuda(self, dtype=torch.float):
# self._test_EmbeddingBag(True, 'sum', False, dtype)
# self._test_EmbeddingBag(True, 'mean', False, dtype)
# self._test_EmbeddingBag(True, 'max', False, dtype)
# if dtype != torch.half:
# # torch.cuda.sparse.HalfTensor is not enabled.
# self._test_EmbeddingBag(True, 'sum', True, dtype)
# > self._test_EmbeddingBag(True, 'mean', True, dtype)
#
# test_nn.py:2144:
# _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
# test_nn.py:2062: in _test_EmbeddingBag
# _test_vs_Embedding(N, D, B, L)
# test_nn.py:2059: in _test_vs_Embedding
# self.assertEqual(es_weight_grad, e.weight.grad, needed_prec)
# common.py:373: in assertEqual
# assertTensorsEqual(x, y)
# common.py:365: in assertTensorsEqual
# self.assertLessEqual(max_err, prec, message)
# E AssertionError: tensor(0.0000, device='cuda:0', dtype=torch.float32) not less than or equal to 2e-05 :
# 1 failed, 1202 passed, 19 skipped, 2 xfailed, 796 warnings in 1166.73 seconds =
# Traceback (most recent call last):
# File "test/run_test.py", line 391, in <module>
# main()
# File "test/run_test.py", line 383, in main
# raise RuntimeError(message)
tests_to_skip+=('TestNN and test_embedding_bag_cuda')
fi


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