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).

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