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107 lines
3.3 KiB
107 lines
3.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/operators/minus_op.h"
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#include <string>
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#include <vector>
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namespace paddle {
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namespace operators {
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class MinusOp : public framework::OperatorWithKernel {
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public:
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MinusOp(const std::string &type, const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"),
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"Input(X) of MinusOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Y"),
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"Input(Y) of MinusOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of MinusOp should not be null.");
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auto x_dims = ctx->GetInputDim("X");
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auto y_dims = ctx->GetInputDim("Y");
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PADDLE_ENFORCE_EQ(
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x_dims, y_dims,
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"Minus operator must take two tensor with same num of elements");
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ctx->SetOutputDim("Out", x_dims);
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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class MinusOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The left tensor of minus operator.");
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AddInput("Y", "The right tensor of minus operator.");
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AddOutput("Out", "The output tensor of minus operator.");
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AddComment(R"DOC(
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Minus Operator.
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Equation:
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$Out = X - Y$
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Both the input `X` and `Y` can carry the LoD (Level of Details) information,
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or not. But the output only shares the LoD information with input `X`.
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)DOC");
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}
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};
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class MinusGradMaker : public framework::GradOpDescMakerBase {
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public:
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using framework::GradOpDescMakerBase::GradOpDescMakerBase;
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std::vector<std::unique_ptr<framework::OpDesc>> operator()() const override {
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std::vector<std::unique_ptr<framework::OpDesc>> ops;
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auto x_g = InputGrad("X");
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if (!x_g.empty()) {
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auto *x_g_op = new framework::OpDesc();
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x_g_op->SetType("scale");
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x_g_op->SetInput("X", OutputGrad("Out"));
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x_g_op->SetOutput("Out", x_g);
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x_g_op->SetAttr("scale", 1.0f);
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ops.emplace_back(x_g_op);
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}
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auto y_g = InputGrad("Y");
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if (!y_g.empty()) {
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auto *y_g_op = new framework::OpDesc();
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y_g_op->SetType("scale");
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y_g_op->SetInput("X", OutputGrad("Out"));
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y_g_op->SetOutput("Out", y_g);
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y_g_op->SetAttr("scale", -1.0f);
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ops.emplace_back(y_g_op);
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}
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return ops;
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(minus, ops::MinusOp, ops::MinusOpMaker, ops::MinusGradMaker);
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REGISTER_OP_CPU_KERNEL(
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minus, ops::MinusKernel<paddle::platform::CPUDeviceContext, float>);
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