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_r380405292
########## File path: include/mxnet/lib_api.h ########## @@ -1111,16 +1166,63 @@ extern "C" { // create a vector of tensors for inputs std::vector<MXTensor> inputs(num_in); + 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]}); + MXStorageType type; + void *data = nullptr; + MXSparse sparse; + // Dense representation. + if(in_indices_shapes[i] == 0) { + type = kDefaultStorage; + data = indata[i]; + } + // Sparse representation. + else { + // To do: remove if else. + if(in_indptr_shapes[i] == 0) { + 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: Can we move this into setTensor? Especially since we have the same code down below for outputs, stateful, etc. too. ---------------------------------------------------------------- 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