samskalicky 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_r393329472
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File path: src/c_api/c_api.cc
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@@ -657,18 +655,29 @@ int MXLoadLib(const char *path) {
// output types will be populated by inferType function
std::vector<int> outstypes(out_stypes->size());
- CHECK(callInferSType(stype_fp, attr_keys.data(), attr_vals.data(),
attr_keys.size(),
- instypes.data(), in_stypes->size(),
- outstypes.data(), out_stypes->size()))
- << "Error calling InferSType for custom operator '" << name_str << "'";
-
- // copy and assign output storage types from custom op to MXNet memory.
- for (size_t i = 0; i < out_stypes->size(); i++) {
- STORAGE_TYPE_ASSIGN_CHECK(*out_stypes, i, outstypes[i]);
+ // InferSType is not defineid in customized lib.
+ if (stype_fp == nullptr) {
+ CHECK(mxnet::common::ContainsOnlyStorage(*in_stypes,
mxnet::kDefaultStorage))
+ << "Error input tensors are not dense for custom operator '" <<
name_str << "'";
+ // set outputs as dense
+ return op::storage_type_assign(out_stypes, mxnet::kDefaultStorage,
+ dispatch_mode,
DispatchMode::kFComputeEx);
+ }
+ // InferSType is defineid in customized lib.
Review comment:
defineid ==> defined
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