[GitHub] [incubator-mxnet] guanxinq commented on a change in pull request #17569: [WIP] Adding sparse support to MXTensor for custom operators

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

guanxinq commented on a change in pull request #17569: [WIP] Adding sparse support to MXTensor for custom operators
URL: https://github.com/apache/incubator-mxnet/pull/17569#discussion_r379018612
 
 

 ##########
 File path: include/mxnet/lib_api.h
 ##########
 @@ -229,20 +241,54 @@ enum MXReturnValue {
   MX_SUCCESS = 1,
 };
 
+struct ChunkDense {
+  // Pointer to data.
+  void *data{nullptr};
+  // Size of data in bytes.
+  size_t dataSize{0};
+  // shape of data.
+  std::vector<int64_t> shape;
+  // Context of data.
+  // MXContext ctx;
+};
+
+struct ChunkSparse {
+  // Pointer to data.
+  void *data{nullptr};
+  // Size of data in bytes.
+  size_t dataSize{0};
+  // length  of data.
+  int64_t data_lens;
+
+  // To store aux data for sparse.
+  // for row_sparse, aux_data[0] = indices
+  // for csr, aux_data[0] = indptr, aux_data[1] = indices
+  std::vector<std::vector<int64_t>> aux_data;
+
+  // Lens of the aux_data.
+  // for row_sparse, aux_lens[0] = len(indices)
+  // for csr, aux_lens[0] = len(indptr), aux_lens[1] = len(indices)
+  std::vector<int64_t> aux_lens;
+  // Context of data.
+  // MXContext ctx;
+};
+
 /*!
  * \brief Tensor data structure used by custom operator
  */
 struct MXTensor {
-  MXTensor() : data_ptr(NULL), dtype(kUNSET), verID(0) {}
+  MXTensor() : data_ptr(nullptr), dtype(kUNSET), verID(0), stype(kDefaultStorage) {}
 
+  // Construtor for dense.
   MXTensor(void *data_ptr, const std::vector<int64_t> &shape, MXDType dtype,
-           size_t vID, MXContext mx_ctx)
-  : data_ptr(data_ptr), shape(shape), dtype(dtype), verID(vID), ctx(mx_ctx) {}
+           size_t vID, MXContext mx_ctx, MXStorageType stype = kDefaultStorage)
 
 Review comment:
   Adding default storage type here could enable the sparse support without any changing to previous implementation for dense. 

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