samskalicky 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_r379025696
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File path: include/mxnet/lib_api.h
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@@ -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:
Here, where we create the MXTensor objects, we should set whether the
MXTensor is a dense/CSR/RowSparse everytime, so theres no need for a default:
https://github.com/apache/incubator-mxnet/blob/f5a1014479351f3139b92c437d65de3a3a653196/include/mxnet/lib_api.h#L1114-L1118
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