guanxinq 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_r387352445
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File path: include/mxnet/lib_api.h
##########
@@ -1111,18 +1171,63 @@ extern "C" {
// create a vector of tensors for inputs
std::vector<MXTensor> inputs(num_in);
+
+ MXStorageType type;
+ void *data = nullptr;
+ void *data2 = nullptr;
+ MXSparse sparse;
+ MXSparse sparse2;
for (int i = 0; i < num_in; i++) {
- inputs[i].setTensor(indata[i], (MXDType)intypes[i], inshapes[i],
indims[i],
- inIDs[i], {indev_type[i], indev_id[i]});
+ // Dense representation.
+ if(!in_indices_shapes) {
+ type = kDefaultStorage;
+ data = indata[i];
+ }
+ // Sparse representation.
+ else {
+ // To do: remove if else.
+ if(!in_indptr_shapes) {
+ type = kRowSparseStorage;
+ sparse.set(indata[i], inshapes[i], indims[i], in_indices[i],
in_indices_shapes[i]);
+ }
+ else {
+ type = kCSRStorage;
+ sparse.set(indata[i], inshapes[i], indims[i], in_indices[i],
+ in_indices_shapes[i], in_indptr[i], in_indptr_shapes[i]);
+ }
+ data = (void*)(&sparse);
Review comment:
Thanks Sam. I know the overwrite issue which is fixed now. I am thinking
about how to handle MXSparse and the set() function to make it more reasonable.
Will update later.
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