ChaiBapchya commented on issue #17182: Seg Fault on dot product of sparse matrix with dense matrix URL: https://github.com/apache/incubator-mxnet/issues/17182#issuecomment-569160581 Oh okay. So another way of creating sparse matrix is first create scipy.sparse matrix and then convert it to mxnet. Scipy sparse matrix creation revealed the true error ``` >>> c = spsp.csr.csr_matrix((np.array([2]),np.array([6]),np.array([0,1])), shape=shape) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/ubuntu/anaconda3/envs/conda_sparse/lib/python3.6/site-packages/scipy/sparse/compressed.py", line 108, in __init__ self.check_format(full_check=False) File "/home/ubuntu/anaconda3/envs/conda_sparse/lib/python3.6/site-packages/scipy/sparse/compressed.py", line 172, in check_format "".format(len(self.indptr), major_dim + 1)) ValueError: index pointer size (2) should be (3) ``` So the error handling / messaging can be done better on MXNet side.
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