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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/29 06:11:04 UTC
[GitHub] [incubator-mxnet] haojin2 edited a comment on issue #16566: [CI
test failure] test_fast_lars fails on windows gpu
haojin2 edited a comment on issue #16566: [CI test failure] test_fast_lars fails on windows gpu
URL: https://github.com/apache/incubator-mxnet/issues/16566#issuecomment-547272159
Happening again at http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-15906/6/pipeline
```
======================================================================
FAIL: test_operator_gpu.test_fast_lars
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Python27\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)
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\test_operator_gpu.py", line 329, in test_fast_lars
check_fast_lars(w_dtype, g_dtype, shapes, ctx, tol1, tol2)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\test_operator_gpu.py", line 311, in check_fast_lars
assert_almost_equal(ref_new_lrs.asnumpy(), mx_new_lrs.asnumpy(), atol=tol2, rtol=tol2)
File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 627, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error 1.279773 exceeds tolerance rtol=1.000000e-06, atol=1.000000e-06 (mismatch 1.851852%).
Location of maximum error: (14,), a=0.01080851, b=0.01080980
ACTUAL: array([0.00030465, 0.0004317 , 0.00063919, ..., 0.00057 , 0.00057802,
0.00037339], dtype=float32)
DESIRED: array([0.00030465, 0.0004317 , 0.00063919, ..., 0.00057 , 0.00057802,
0.00037339], dtype=float32)
-------------------- >> begin captured stdout << ---------------------
*** Maximum errors for vector of size 54: rtol=1e-06, atol=1e-06
1: Error 1.279773 Location of error: (14,), a=0.01080851, b=0.01080980
--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=374849959 to reproduce.
--------------------- >> end captured logging << ---------------------
```
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