ciyongch opened a new issue #18246: URL: https://github.com/apache/incubator-mxnet/issues/18246
## Description Nightly test fail with "test_large_vector.test_nn" on v1.7.x branch, please check log [here](http://jenkins.mxnet-ci.amazon-ml.com/job/NightlyTestsForBinaries/job/v1.7.x/2/execution/node/232/log/) ### Error Message ``` 05:29:54 + nosetests-3.4 tests/nightly/test_large_vector.py:test_nn 05:44:46 E 05:44:46 ====================================================================== 05:44:46 ERROR: test_large_vector.test_nn 05:44:46 ---------------------------------------------------------------------- 05:44:46 Traceback (most recent call last): 05:44:46 File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest 05:44:46 self.test(*self.arg) 05:44:46 File "/work/mxnet/tests/nightly/test_large_vector.py", line 159, in test_nn 05:44:46 check_layer_norm() 05:44:46 File "/work/mxnet/tests/nightly/test_large_vector.py", line 89, in check_layer_norm 05:44:46 mx_out = nd.LayerNorm(data, gamma, beta, axis, eps) 05:44:46 File "<string>", line 81, in LayerNorm 05:44:46 File "/work/mxnet/python/mxnet/_ctypes/ndarray.py", line 91, in _imperative_invoke 05:44:46 ctypes.byref(out_stypes))) 05:44:46 File "/work/mxnet/python/mxnet/base.py", line 246, in check_call 05:44:46 raise get_last_ffi_error() 05:44:46 mxnet.base.MXNetError: MXNetError: Shape inconsistent, Provided = [4300000000], inferred shape=[5032704] 05:44:46 05:44:46 ---------------------------------------------------------------------- 05:44:46 Ran 1 test in 896.356s 05:44:46 05:44:46 FAILED (errors=1) ``` @ChaiBapchya @szha @TaoLv ---------------------------------------------------------------- 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]
