ChaiBapchya commented on issue #15975: Crashing test test_laop6 URL: https://github.com/apache/incubator-mxnet/issues/15975#issuecomment-524504585 ``` ====================================================================== ERROR: test_operator_gpu.test_laop_6 ---------------------------------------------------------------------- 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 6899, in test_laop_6 check_grad(test_logabsdet, [a]) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 6869, in <lambda> atol=atol_bw, dtype=dtype) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 992, in check_numeric_gradient symbolic_grads = {k:executor.grad_dict[k].asnumpy() for k in grad_nodes} File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 992, in <dictcomp> symbolic_grads = {k:executor.grad_dict[k].asnumpy() for k in grad_nodes} File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\ndarray\ndarray.py", line 2406, in asnumpy ctypes.c_size_t(data.size))) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\base.py", line 254, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [00:28:11] c:\jenkins_slave\workspace\build-gpu\include\mxnet\tuple.h:380: Check failed: ndim >= -1 (-42302925 vs. -1) : shape ndim must be >= -1, while received ``` http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-15980/4/pipeline PR #15980
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
