samskalicky commented on a change in pull request #17569: Adding sparse support
to MXTensor for custom operators
URL: https://github.com/apache/incubator-mxnet/pull/17569#discussion_r392018268
##########
File path: include/mxnet/lib_api.h
##########
@@ -393,13 +458,21 @@ class OpResource {
return static_cast<mx_stream_t>(cuda_stream);
}
+ void alloc_ndarray(MXSparse* sparse, int index, int indices_len, int
indptr_len = 0) {
+ ndarray_malloc(ndarray_alloc, index, indices_len, indptr_len,
+ &(sparse->data), &(sparse->indices), &(sparse->indptr));
+ }
+
private:
/*! \brief allocation lambda function */
xpu_malloc_t cpu_malloc, gpu_malloc;
/*! \brief lambda function to return allocated memory handle */
void *cpu_alloc, *gpu_alloc;
/*! \brief cuda stream passed from MXNet */
void *cuda_stream;
+
+ ndarray_malloc_t ndarray_malloc;
Review comment:
how about sparse_malloc_t sparse_malloc?
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