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
########## 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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services