aidan-plenert-macdonald commented on issue #9118: argmax causes python VM to crash URL: https://github.com/apache/incubator-mxnet/issues/9118#issuecomment-352522212 Reproducable in version 0.11.1b20170929), ``` $ pip list | grep mxnet mxnet (0.11.1b20170929) $ python Python 3.6.3 (default, Oct 4 2017, 06:09:15) [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from mxnet import nd >>> A=nd.array([0,1,2]) >>> nd.argmax(A) [10:40:37] /Users/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [10:40:37] src/operator/tensor/./broadcast_reduce_op.h:352: Global reduction not supported yet Stack trace returned 10 entries: [bt] (0) 0 libmxnet.so 0x000000010d0f7408 _ZN4dmlc15LogMessageFatalD2Ev + 40 [bt] (1) 1 libmxnet.so 0x000000010d0f4fc9 _ZN4dmlc15LogMessageFatalD1Ev + 9 [bt] (2) 2 libmxnet.so ``` And in version 1.0.0.post1, ``` $ pip list | grep mxnet mxnet (1.0.0.post1) $ python Python 3.6.3 (default, Oct 4 2017, 06:09:15) [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from mxnet import nd >>> A=nd.array([0,1,2]) >>> nd.argmax(A) [10:45:02] /Users/travis/build/dmlc/mxnet-distro/mxnet-build/dmlc-core/include/dmlc/logging.h:308: [10:45:02] src/operator/tensor/./broadcast_reduce_op.h:396: Global reduction not supported yet Stack trace returned 10 entries: [bt] (0) 0 libmxnet.so 0x0000000105b40898 _ZN4dmlc15LogMessageFatalD2Ev + 40 [bt] (1) 1 libmxnet.so 0x0000000105b3e599 _ZN4dmlc15LogMessageFatalD1Ev + 9 [bt] (2) 2 libmxnet.so ``` Looking at the specified line of code [broadcast_reduce_op.h:396](https://github.com/apache/incubator-mxnet/blob/master/src/operator/tensor/broadcast_reduce_op.h#L396), ```c++ if (!param.axis) LOG(FATAL) << "Global reduction not supported yet"; ``` It hints that including axis works, which is a pretty stupid error. ``` $ python Python 3.6.3 (default, Oct 4 2017, 06:09:15) [GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.37)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from mxnet import nd >>> A=nd.array([0,1,2]) >>> nd.argmax(A, axis=0) [ 2.] <NDArray 1 @cpu(0)> ```
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