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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