{"action":"closed","issue":{"url":"https://api.github.com/repos/apache/incubator-mxnet/issues/10186","repository_url":"https://api.github.com/repos/apache/incubator-mxnet","labels_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/10186/labels{/name}","comments_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/10186/comments","events_url":"https://api.github.com/repos/apache/incubator-mxnet/issues/10186/events","html_url":"https://github.com/apache/incubator-mxnet/issues/10186","id":307297008,"node_id":"MDU6SXNzdWUzMDcyOTcwMDg=","number":10186,"title":"Flaky test: test_operator_gpu.test_multi_proposal_op ","user":{"login":"rahul003","id":3457240,"node_id":"MDQ6VXNlcjM0NTcyNDA=","avatar_url":"https://avatars1.githubusercontent.com/u/3457240?v=4","gravatar_id":"","url":"https://api.github.com/users/rahul003","html_url":"https://github.com/rahul003","followers_url":"https://api.github.com/users/rahul003/followers","following_url":"https://api.github.com/users/rahul003/following{/other_user}","gists_url":"https://api.github.com/users/rahul003/gists{/gist_id}","starred_url":"https://api.github.com/users/rahul003/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rahul003/subscriptions","organizations_url":"https://api.github.com/users/rahul003/orgs","repos_url":"https://api.github.com/users/rahul003/repos","events_url":"https://api.github.com/users/rahul003/events{/privacy}","received_events_url":"https://api.github.com/users/rahul003/received_events","type":"User","site_admin":false},"labels":[{"id":977504354,"node_id":"MDU6TGFiZWw5Nzc1MDQzNTQ=","url":"https://api.github.com/repos/apache/incubator-mxnet/labels/Disabled%20test","name":"Disabled test","color":"fc2929","default":false},{"id":721783588,"node_id":"MDU6TGFiZWw3MjE3ODM1ODg=","url":"https://api.github.com/repos/apache/incubator-mxnet/labels/Flaky","name":"Flaky","color":"fc2929","default":false},{"id":721783490,"node_id":"MDU6TGFiZWw3MjE3ODM0OTA=","url":"https://api.github.com/repos/apache/incubator-mxnet/labels/Test","name":"Test","color":"fbca04","default":false}],"state":"closed","locked":false,"assignee":{"login":"szha","id":2626883,"node_id":"MDQ6VXNlcjI2MjY4ODM=","avatar_url":"https://avatars2.githubusercontent.com/u/2626883?v=4","gravatar_id":"","url":"https://api.github.com/users/szha","html_url":"https://github.com/szha","followers_url":"https://api.github.com/users/szha/followers","following_url":"https://api.github.com/users/szha/following{/other_user}","gists_url":"https://api.github.com/users/szha/gists{/gist_id}","starred_url":"https://api.github.com/users/szha/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/szha/subscriptions","organizations_url":"https://api.github.com/users/szha/orgs","repos_url":"https://api.github.com/users/szha/repos","events_url":"https://api.github.com/users/szha/events{/privacy}","received_events_url":"https://api.github.com/users/szha/received_events","type":"User","site_admin":false},"assignees":[{"login":"szha","id":2626883,"node_id":"MDQ6VXNlcjI2MjY4ODM=","avatar_url":"https://avatars2.githubusercontent.com/u/2626883?v=4","gravatar_id":"","url":"https://api.github.com/users/szha","html_url":"https://github.com/szha","followers_url":"https://api.github.com/users/szha/followers","following_url":"https://api.github.com/users/szha/following{/other_user}","gists_url":"https://api.github.com/users/szha/gists{/gist_id}","starred_url":"https://api.github.com/users/szha/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/szha/subscriptions","organizations_url":"https://api.github.com/users/szha/orgs","repos_url":"https://api.github.com/users/szha/repos","events_url":"https://api.github.com/users/szha/events{/privacy}","received_events_url":"https://api.github.com/users/szha/received_events","type":"User","site_admin":false}],"milestone":null,"comments":2,"created_at":"2018-03-21T15:34:33Z","updated_at":"2018-07-03T00:29:04Z","closed_at":"2018-07-03T00:29:04Z","author_association":"CONTRIBUTOR","body":"## Description\r\ntest_operator_gpu.test_multi_proposal_op is flaky and fails on CI Windows. I believe there might be nothing specific to the windows environment it failed in. \r\n\r\n## Environment info (Required)\r\n\r\n```\r\nWhat to do:\r\n1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py\r\n2. Run the script using `python diagnose.py` and paste its output here.\r\n\r\n```\r\n\r\nPackage used (Python/R/Scala/Julia): Python\r\n\r\n## Build info (Required if built from source)\r\n\r\nCompiler (gcc/clang/mingw/visual studio): gcc\r\n\r\nMXNet commit hash: \r\n\r\nBuild config:CI Windows GPU\r\n\r\nhttp://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-9933/17/pipeline/\r\n\r\n## Error Message:\r\n```\r\n\r\n======================================================================\r\nFAIL: test_operator_gpu.test_multi_proposal_op\r\n----------------------------------------------------------------------\r\nTraceback (most recent call last):\r\n  File \"C:\\Anaconda3\\envs\\py3\\lib\\site-packages\\nose\\case.py\", line 197, in runTest\r\n    self.test(*self.arg)\r\n  File \"C:\\jenkins_slave\\workspace\\ut-python-gpu\\tests\\python\\gpu\\../unittest\\common.py\", line 157, in test_new\r\n    orig_test(*args, **kwargs)\r\n  File \"C:\\jenkins_slave\\workspace\\ut-python-gpu\\tests\\python\\gpu\\test_operator_gpu.py\", line 1746, in test_multi_proposal_op\r\n    check_proposal_consistency(mx.nd.contrib.MultiProposal, 20)\r\n  File \"C:\\jenkins_slave\\workspace\\ut-python-gpu\\tests\\python\\gpu\\test_operator_gpu.py\", line 1742, in check_proposal_consistency\r\n    assert_almost_equal(score_cpu_np, score_gpu_np, atol = 1e-3, rtol = 1e-3)\r\n  File \"C:\\jenkins_slave\\workspace\\ut-python-gpu\\pkg_vc14_gpu\\python\\mxnet\\test_utils.py\", line 493, in assert_almost_equal\r\n    raise AssertionError(msg)\r\nAssertionError: \r\nItems are not equal:\r\nError 1.914770 exceeds tolerance rtol=0.001000, atol=0.001000.  Location of maximum error:(7761, 0), a=0.409629, b=0.412333\r\n a: array([[ 0.99995381],\r\n       [ 0.99990904],\r\n       [ 0.99970675],...\r\n b: array([[ 0.99995381],\r\n       [ 0.99990904],\r\n       [ 0.99970675],...\r\n-------------------- >> begin captured logging << --------------------\r\ncommon: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1679964676 to reproduce.\r\n--------------------- >> end captured logging << ---------------------\r\n\r\n----------------------------------------------------------------------\r\n```\r\n## Steps to reproduce\r\n1.  See CI steps"}}
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