ptrendx commented on a change in pull request #17977: Relaxing type requirements for broadcast_like URL: https://github.com/apache/incubator-mxnet/pull/17977#discussion_r405177613
########## File path: src/operator/tensor/broadcast_reduce_op_value.cc ########## @@ -138,7 +138,16 @@ NNVM_REGISTER_OP(broadcast_like) [](const NodeAttrs& attrs) { return std::vector<std::string>{"lhs", "rhs"}; }) -.set_attr<nnvm::FInferType>("FInferType", ElemwiseType<2, 1>) +.set_attr<nnvm::FInferType>("FInferType", [](const nnvm::NodeAttrs& attrs, + std::vector<int> *in_attrs, + std::vector<int> *out_attrs) { + CHECK_EQ(in_attrs->size(), 2) << " in operator " << attrs.name; + std::vector<int> checked_in_attrs = { (*in_attrs)[0] }; + bool ret = !type_is_none((*in_attrs)[1]) && Review comment: Yes, it is necessary - what `FInferType` returns is whether it succeeded in inferring all the types (so that if all operators return true we know that all types are inferred). That is why it is important to not lie and return true only if all types are really inferred (even if we do not actually do anything with the other type). ---------------------------------------------------------------- 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