reminisce commented on a change in pull request #16827: Refactor
NumPy-compatible elemwise broadcast operators
URL: https://github.com/apache/incubator-mxnet/pull/16827#discussion_r347013187
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File path: src/operator/tensor/elemwise_binary_op.h
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@@ -474,6 +474,31 @@ class ElemwiseBinaryOp : public OpBase {
std::vector<int> *in_attrs,
std::vector<int> *out_attrs);
+ template<typename xpu, typename OP>
+ static void ComputeInt(const nnvm::NodeAttrs &attrs,
+ const OpContext &ctx,
+ const std::vector<TBlob> &inputs,
+ const std::vector<OpReqType> &req,
+ const std::vector<TBlob> &outputs) {
+ using namespace mxnet_op;
+ if (req[0] != kNullOp) {
Review comment:
To save then indentation for the following lines, you can return here if
`req[0]` is `kNullOp`.
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