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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: test_hybrid_static_memory #11809

Closed
@anirudh2290

Description

@anirudh2290

Please see: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-11806/2/pipeline/846/


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

FAIL: test_operator_gpu.test_hybrid_static_memory

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

Traceback (most recent call last):

  File "C:\Anaconda3\envs\py3\lib\site-packages\nose\case.py", line 197, in runTest

    self.test(*self.arg)

  File "C:\Anaconda3\envs\py3\lib\site-packages\nose\util.py", line 620, in newfunc

    return func(*arg, **kw)

  File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\common.py", line 172, in test_new

    orig_test(*args, **kwargs)

  File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_gluon.py", line 1204, in test_hybrid_static_memory

    check_hybrid_static_memory()

  File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_gluon.py", line 1200, in check_hybrid_static_memory

    assert_almost_equal(grads1[key].asnumpy(), grads2[key].asnumpy(), rtol=1e-3, atol=1e-5)

  File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu_mkldnn\python\mxnet\test_utils.py", line 493, in assert_almost_equal

    raise AssertionError(msg)

AssertionError: 

Items are not equal:

Error 1.541786 exceeds tolerance rtol=0.001000, atol=0.000010.  Location of maximum error:(2,), a=-0.009735, b=-0.009766

 a: array([ 5.0684638 ,  0.49830177, -0.00973539, ...,  3.59016871,

       -1.98168564, -1.38615167], dtype=float32)

 b: array([ 5.06845665,  0.49829596, -0.00976587, ...,  3.59016991,

       -1.9816792 , -1.3861587 ], dtype=float32)

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

common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=2006690968 to reproduce.

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

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