======================================================================
FAIL: test_operator_gpu.test_convolution_independent_gradients
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Python37\lib\site-packages\nose\case.py", line 198, in runTest
self.test(*self.arg)
File "C:\Python37\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 177, in test_new
orig_test(*args, **kwargs)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 1989, in test_convolution_independent_gradients
grad2[var_name].asnumpy(), rtol=rtol, atol=atol)
File "C:\Python37\lib\site-packages\numpy\testing\_private\utils.py", line 1501, in assert_allclose
verbose=verbose, header=header, equal_nan=equal_nan)
File "C:\Python37\lib\site-packages\numpy\testing\_private\utils.py", line 827, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=0.01, atol=0.1
Mismatch: 0.446%
Max absolute difference: 0.7600479
Max relative difference: 0.37727797
x: array([[[[-3.817751e+01, 1.281843e+02, -3.195532e+01, ...,
1.479566e+02, -3.144979e+01, -7.199168e+00],
[-3.450592e+01, 4.369902e+01, -7.741132e+01, ...,...
y: array([[[[-3.816167e+01, 1.281905e+02, -3.194344e+01, ...,
1.479433e+02, -3.151185e+01, -7.199774e+00],
[-3.448948e+01, 4.371869e+01, -7.741202e+01, ...,...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=22873871 to reproduce.
--------------------- >> end captured logging << ---------------------
For unrelated PR - #15522
Here's the error log
CI pipeline - http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-15522/7/pipeline/