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-350393045
 
 
   From an implementation point of view, it's hard to enable such 
mono-dimensional array. 
   
   The 1-D shape could be passed directly to the backend, whereas all the 
sparse operators in the backend  assumes `shape[0]` is num_rows and `shape[1]` 
is num_cols at the moment. Accepting 1-D shape for csr would require 
**significant efforts** to check these cases for each operator in the backend. 
`zeros` is not the only operator affected, cases include:
   - `mx.sym.var('a', shape=10, stype='csr')`
   - generate a random uniform csr ndarray with 1-D shape 
   - dot with 1-D csr
   - convert a dense 1-D array to csr
   - etc..
   
   I suggest that we throw an exception for 1-D shape for `sparse.zeros` to 
guide users the expected usage instead. 
   
    

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