TaoLv opened a new issue #17362: [flaky] test_higher_order_grad.test_arcsin URL: https://github.com/apache/incubator-mxnet/issues/17362 ## Description test_higher_order_grad.test_arcsin ## Occurrences http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-17356/1/pipeline ``` ====================================================================== FAIL: test_higher_order_grad.test_arcsin ---------------------------------------------------------------------- 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/unittest/common.py", line 221, in test_new orig_test(*args, **kwargs) File "/work/mxnet/tests/python/unittest/test_higher_order_grad.py", line 153, in test_arcsin check_second_order_unary(array, arcsin, grad_grad_op) File "/work/mxnet/tests/python/unittest/test_higher_order_grad.py", line 507, in check_second_order_unary check_nth_order_unary(x, op, grad_grad_op, 2, rtol, atol) File "/work/mxnet/tests/python/unittest/test_higher_order_grad.py", line 577, in check_nth_order_unary expected_grad, computed_grad.asnumpy(), rtol=rtol, atol=atol) File "/work/mxnet/python/mxnet/test_utils.py", line 627, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error nan exceeds tolerance rtol=1.000000e-05, atol=1.000000e-20 (mismatch 0.154321%). Location of maximum error: (1, 6, 2, 1), a=0.00000000, b=nan ACTUAL: array([[[[-0.03453423, 0.1168007 , -0.00583075], [ 0.02170432, 0.37017354, 0.09864384], [-0.02544087, -0.06709251, -0.34824234]],... DESIRED: array([[[[-0.03453423, 0.1168007 , -0.00583075], [ 0.02170432, 0.37017348, 0.09864385], [-0.02544087, -0.0670925 , -0.34824237]],... -------------------- >> begin captured stdout << --------------------- *** Maximum errors for vector of size 648: rtol=1e-05, atol=1e-20 1: Error nan Location of error: (1, 6, 2, 1), a=0.00000000, b=nan --------------------- >> end captured stdout << ---------------------- -------------------- >> begin captured logging << -------------------- common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=402611671 to reproduce. --------------------- >> end captured logging << --------------------- ``` ## What have you tried to solve it? None
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