rondogency opened a new issue #16358: CI Flaky Test: test_operator_gpu.test_np_around URL: https://github.com/apache/incubator-mxnet/issues/16358 Centos GPU test_operator_gpu.test_np_around fails on tolerance should be a flaky test since it is the only occurrence I know http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fcentos-gpu/detail/PR-15921/52/pipeline FAIL: test_operator_gpu.test_np_around ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python3.6/site-packages/nose/case.py", line 198, in runTest self.test(*self.arg) File "/usr/lib/python3.6/site-packages/nose/util.py", line 620, in newfunc return func(*arg, **kw) File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 177, in test_new orig_test(*args, **kwargs) File "/work/mxnet/python/mxnet/util.py", line 307, in _with_np_shape return func(*args, **kwargs) File "/work/mxnet/python/mxnet/util.py", line 491, in _with_np_array return func(*args, **kwargs) File "/work/mxnet/tests/python/gpu/../unittest/test_numpy_op.py", line 2447, in test_np_around assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol) File "/work/mxnet/python/mxnet/test_utils.py", line 533, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error 1.457707 exceeds tolerance rtol=0.001000, atol=0.000010. Location of maximum error:(), a=0.675000, b=0.676000 a: array(0.675, dtype=float32) b: 0.676
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