pytorch/caffe2/operators/rowmul_op.cc
Nikita Shulga a9b0a921d5 Disable avoid-non-const-global-variables lint check (#62008)
Summary:
As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH`

All changes but the ones to `.clang-tidy` are generated using following script:
```
for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`;  do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008

Reviewed By: driazati, r-barnes

Differential Revision: D29838584

Pulled By: malfet

fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
2021-07-22 18:04:40 -07:00

53 lines
1.5 KiB
C++

#include "caffe2/operators/rowmul_op.h"
namespace caffe2 {
namespace {
REGISTER_CPU_OPERATOR(ReduceTailSum, ReduceTailSumOp<float, CPUContext>);
REGISTER_CPU_OPERATOR(RowMul, RowMulOp<float, CPUContext>);
OPERATOR_SCHEMA(ReduceTailSum)
.NumInputs(1, 1)
.NumOutputs(1)
.SetDoc(R"DOC(
Reduce the tailing dimensions
)DOC")
.Input(0, "mat", "The matrix")
.Output(0, "output", "Output");
OPERATOR_SCHEMA(RowMul)
.NumInputs(2, 2)
.NumOutputs(1)
.SetDoc(R"DOC(
Given a matrix A and column vector w, the output is the multiplication of row i
of A and element i of w, e.g. C[i][j] = A[i][j] * w[i]. This operator should be
deprecated when the gradient operator of Mul with broadcast is implemented.
)DOC")
.Input(0, "mat", "The matrix")
.Input(1, "w", "The column vector")
.Output(0, "output", "Output");
class GetRowMulGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
return vector<OperatorDef>{
CreateOperatorDef(
"RowMul", "", vector<string>{GO(0), I(1)}, vector<string>{GI(0)}),
CreateOperatorDef(
"Mul",
"",
vector<string>{GO(0), I(0)},
vector<string>{GI(1) + "before_aggregate"}),
CreateOperatorDef(
"ReduceTailSum",
"",
vector<string>{GI(1) + "before_aggregate"},
vector<string>{GI(1)})};
}
};
REGISTER_GRADIENT(RowMul, GetRowMulGradient);
} // namespace
} // namespace caffe2