[GitHub] weixingzhang opened a new pull request #8849: support monodimensional sparse array

[GitBox <gi...@apache.org>]

weixingzhang opened a new pull request #8849:   support monodimensional sparse array
URL: https://github.com/apache/incubator-mxnet/pull/8849
 
 
     The end user reported the issue below:
   
     The following code
   
     b1 = nd.sparse.zeros('csr',shape=10, ctx=ctx)
   
     returns
   
     /usr/local/lib/python3.6/site-packages/mxnet/ndarray/sparse.py in _new_alloc_handle(stype, shape, ctx, delay_alloc, dtype, aux_types, aux_shapes)
            87     check_call(_LIB.MXNDArrayCreateSparseEx(
            88         ctypes.c_int(int(_STORAGE_TYPE_STR_TO_ID[stype])),
     ---> 89         c_array(mx_uint, shape),
            90         mx_uint(len(shape)),
            91         ctypes.c_int(ctx.device_typeid),
   
     /usr/local/lib/python3.6/site-packages/mxnet/base.py in c_array(ctype, values)
           214     2.0
           215     """
     --> 216     return (ctype * len(values))(*values)
           217
           218 def ctypes2buffer(cptr, length):
   
     TypeError: object of type 'int' has no len()
   
   ## Description ##
   (Brief description on what this PR is about)
   
   ## Checklist ##
   ### Essentials ###
   - [ ] Passed code style checking (`make lint`)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage
   - [ ] For user-facing API changes, API doc string has been updated. For new C++ functions in header files, their functionalities and arguments are well-documented. 
   - [ ] To my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] Feature1, tests, (and when applicable, API doc)
   - [ ] Feature2, tests, (and when applicable, API doc)
   
   ## Comments ##
   - If this change is a backward incompatible change, why must this change be made.
   - Interesting edge cases to note here
   

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