larroy commented on a change in pull request #14613: [MXNET-978] Higher order
gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#discussion_r287533229
##########
File path: src/operator/tensor/elemwise_binary_op_basic.cc
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@@ -233,7 +233,17 @@ The storage type of ``elemwise_mul`` output depends on
storage types of inputs
return
std::vector<ResourceRequest>{ResourceRequest::kTempSpace};
})
.add_alias("_mul").add_alias("_Mul")
-.set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_mul"});
+.set_attr<nnvm::FGradient>("FGradient",
+ [](const nnvm::NodePtr& n, const std::vector<nnvm::NodeEntry>& ograds) {
+ auto lhs_grad = MakeNode("elemwise_mul", n->attrs.name + "_backward_lhs",
+ {ograds[0], n->inputs[1]}, nullptr, &n);
+ auto rhs_grad = MakeNode("elemwise_mul", n->attrs.name + "_backward_rhs",
+ {ograds[0], n->inputs[0]}, nullptr, &n);
+ std::vector<nnvm::NodeEntry> ret;
+ ret.emplace_back(nnvm::NodeEntry{lhs_grad, 0, 0});
Review comment:
Can we simplify as per https://github.com/apache/incubator-mxnet/pull/14095 ?
ret.emplace_back(MakeNode(...));
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