ChaiBapchya opened a new issue #17182: Seg Fault on dot product of sparse matrix with dense matrix URL: https://github.com/apache/incubator-mxnet/issues/17182 ## Description Seg Fault on master, 1.5.1 ### Error Message ``` Segmentation fault: 11 Stack trace: [bt] (0) /home/ubuntu/anaconda3/envs/mxnet_pip_install/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x2b64150) [0x7fadfffb3150] [bt] (1) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7fae14b354b0] [bt] (2) /home/ubuntu/anaconda3/envs/mxnet_pip_install/lib/python3.6/site-packages/mxnet/libmxnet.so(+0xf509a0) [0x7fadfe39f9a0] [bt] (3) /home/ubuntu/anaconda3/envs/mxnet_pip_install/bin/../lib/libgomp.so.1(+0x146d5) [0x7fae110456d5] [bt] (4) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fae14ed16ba] [bt] (5) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fae14c0741d] ``` ## To Reproduce ``` import mxnet as mx shape = (2,10) from mxnet import nd sp_mat1 = nd.sparse.csr_matrix(([2],[6],[0,1]),shape=shape) mat2 = nd.ones((10,2)) out = nd.dot(sp_mat1, mat2) ``` ### Steps to reproduce 1. pip install mxnet 2. python shell ## What have you tried to solve it? 1. Use gdb to find backtrace 2. ## Environment We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python # paste outputs here ```
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