anirudhacharya opened a new issue #10087: Flaky test on Ubuntu: 
test_operator_gpu.test_batchnorm_with_type
URL: https://github.com/apache/incubator-mxnet/issues/10087
 
 
   ## Description
   Flaky test on ubuntu_gpu for the test - 
test_operator_gpu.test_batchnorm_with_type It is a precision error.
   
   ## Environment info (Required)
   
   Package used (Python/R/Scala/Julia):
   Python
   
   MXNet commit hash:
   8bf1ff1ad3e3d3f07e62043560e933848b440f57
   
   Link to the CI run log:
   
http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/incubator-mxnet/branches/PR-9963/runs/47/nodes/486/log/?start=0
   
   ## Error Message:
   
   > FAIL: test_operator_gpu.test_batchnorm_with_type
   > ----------------------------------------------------------------------
   > Traceback (most recent call last):
   >   File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in 
runTest
   >     self.test(*self.arg)
   >   File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 157, in 
test_new
   >     orig_test(*args, **kwargs)
   >   File "/work/mxnet/tests/python/gpu/test_operator_gpu.py", line 320, in 
test_batchnorm_with_type
   >     check_consistency(sym, ctx_list_v2_2D)
   >   File "/work/mxnet/python/mxnet/test_utils.py", line 1346, in 
check_consistency
   >     raise e
   >   File "/work/mxnet/python/mxnet/test_utils.py", line 1341, in 
check_consistency
   >     equal_nan=equal_nan)
   >   File "/work/mxnet/python/mxnet/test_utils.py", line 493, in 
assert_almost_equal
   >     raise AssertionError(msg)
   > AssertionError: 
   > Items are not equal:
   > Error 1.588932 exceeds tolerance rtol=0.100000, atol=0.100000.  Location 
of maximum error:(1,), a=-0.082301, b=0.091003
   >  a: array([-1308.3785    ,    -0.08230112], dtype=float32)
   >  b: array([-1310.   ,     0.091], dtype=float16)
   
   ## Steps to reproduce
   1. Not able to reproduce locally

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