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This repository was archived by the owner on Nov 17, 2023. It is now read-only.
This repository was archived by the owner on Nov 17, 2023. It is now read-only.

[Flaky Test] Master Python2: MKLDNN-GPU test_operator_gpu.test_multinomial_generator #14158

Description

@Chancebair

http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-gpu/detail/master/326/pipeline

Disabled test: #14161


======================================================================

FAIL: test_operator_gpu.test_multinomial_generator

----------------------------------------------------------------------

Traceback (most recent call last):

  File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest

    self.test(*self.arg)

  File "/usr/local/lib/python2.7/dist-packages/nose/util.py", line 620, in newfunc

    return func(*arg, **kw)

  File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 173, in test_new

    orig_test(*args, **kwargs)

  File "/work/mxnet/tests/python/gpu/../unittest/test_random.py", line 651, in test_multinomial_generator

    nsamples=samples, nrepeat=trials)

  File "/work/mxnet/python/mxnet/test_utils.py", line 1981, in verify_generator

    str(buckets), str(probs)))

AssertionError: Generator test fails, Chi-square p=[0.045214571915128336, 0.9597478987060984, 0.017198384622679492, 0.04226990178352275, 0.01943621392672103], obs_freq=[array([ 99983, 200177, 299875,  50655, 150022, 199288]), array([ 99905, 199840, 300120,  49933, 150306, 199896]), array([ 99994, 199806, 300681,  50542, 149041, 199936]), array([100751, 199764, 298839,  50043, 150295, 200308]), array([100030, 200434, 299542,  50247, 150836, 198911])], expected_freq=[array([100000, 200000, 300000,  50000, 150000, 200000], dtype=int32), array([100000, 200000, 300000,  50000, 150000, 200000], dtype=int32), array([100000, 200000, 300000,  50000, 150000, 200000], dtype=int32), array([100000, 200000, 300000,  50000, 150000, 200000], dtype=int32), array([100000, 200000, 300000,  50000, 150000, 200000], dtype=int32)].

buckets=[0, 1, 2, 3, 4, 5], probs=[0.1  0.2  0.3  0.05 0.15 0.2 ]

-------------------- >> begin captured logging << --------------------

common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=2030134936 to reproduce.

--------------------- >> end captured logging << ---------------------

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