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Calculating gradients for partial graph #7269

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merged 3 commits into from
Jan 10, 2018
Merged

Calculating gradients for partial graph #7269

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0ef9dc6
Fix comment for norm_op
Jan 6, 2018
585dec3
Calculating gradients for partial graph
Jan 6, 2018
6e5eae1
Unittest for fluid.backward.calc_gradient()
Jan 9, 2018
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6 changes: 5 additions & 1 deletion paddle/framework/grad_op_desc_maker.h
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Expand Up @@ -87,7 +87,11 @@ class GradOpDescMakerBase {
auto onames = this->Output(name);
ret_val.reserve(onames.size());
std::transform(onames.begin(), onames.end(), std::back_inserter(ret_val),
GradVarName);
[this](const std::string& fwd_var_name) -> std::string {
auto g_name = GradVarName(fwd_var_name);
(*this->grad_to_var_)[g_name] = fwd_var_name;
return g_name;
});
return ret_val;
}

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2 changes: 1 addition & 1 deletion paddle/framework/op_desc.h
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Expand Up @@ -129,7 +129,7 @@ class OpDesc {
}

proto::OpDesc desc_;
// input arg name => output variable names
// input arg name => input variable names
VariableNameMap inputs_;
// output arg name => output variable names
VariableNameMap outputs_;
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2 changes: 1 addition & 1 deletion paddle/operators/norm_op.cc
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Expand Up @@ -39,7 +39,7 @@ class NormOpMaker : public framework::OpProtoAndCheckerMaker {
"M = C * H * W");
AddComment(R"DOC(
"Input shape: $(N, C, H, W)$
Sclae shape: $(C, 1)$
Scale shape: $(C, 1)$
Output shape: $(N, C, H, W)$
Where
forward
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2 changes: 1 addition & 1 deletion paddle/operators/norm_op.h
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Expand Up @@ -66,7 +66,7 @@ class NormKernel : public framework::OpKernel<T> {
context.GetPlace());
auto tmp = framework::EigenVector<T, Eigen::RowMajor,
Eigen::DenseIndex>::Flatten(tmp_tensor);
// get colsum and sqrt , inverse
// get colsum and sqrt , inverse
auto dim = Eigen::array<int, 1>({{0}});
tmp.device(*place) = x_square_batch_eigen.sum(dim);
tmp.device(*place) = (tmp + epsilon).sqrt().inverse();
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