eric-haibin-lin commented on issue #8817: Creating a monodimensional sparse array returns an error URL: https://github.com/apache/incubator-mxnet/issues/8817#issuecomment-347310424 Thanks for reporting. I think we can add additional logic to handle such case. I tried scipy.sparse as follows: ``` >>> np.ones((10)) array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) >>> a = np.ones((10)) >>> a.shape (10,) >>> import scipy.sparse as spsp >>> spsp.csr_matrix(a) <1x10 sparse matrix of type '<type 'numpy.float64'>' with 10 stored elements in Compressed Sparse Row format> ``` Instead of converting (10) to (10,1), I think (1,10) will be more appropriate for CSR since it expects large number of columns.
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