ThomasDelteil opened a new issue #11173: Flaky test: test_deformable_convolution_options URL: https://github.com/apache/incubator-mxnet/issues/11173 http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/919/pipeline/ ``` ====================================================================== FAIL: test_operator_gpu.test_deformable_convolution_options ---------------------------------------------------------------------- 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:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\common.py", line 157, in test_new orig_test(*args, **kwargs) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\test_operator_gpu.py", line 1495, in test_deformable_convolution_options check_consistency(sym, ctx_list) File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py", line 1346, in check_consistency raise e File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py", line 1341, in check_consistency equal_nan=equal_nan) File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py", line 493, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error 1540.520020 exceeds tolerance rtol=0.001000, atol=0.001000. Location of maximum error:(0, 10, 0, 1), a=-2.890014, b=2.496659 a: array([[[[ -0.35369632, -1.48071766, -1.82718635], [ 1.31354153, 3.43152452, -2.12554169], [ -3.23107505, -1.07072127, 0. ]],... b: array([[[[ -0.35369611, -1.48071766, -1.82718599], [ 1.31354201, 3.43152165, -2.12554169], [ -3.23107576, -1.07072186, 0. ]],... -------------------- >> begin captured stdout << --------------------- Train Err: ctx 1 vs ctx 0 at deformable_conv_offset --------------------- >> end captured stdout << ---------------------- -------------------- >> begin captured logging << -------------------- common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1969284661 to reproduce. --------------------- >> end captured logging << --------------------- ```
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