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73 lines
2.5 KiB
73 lines
2.5 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/operators/mul_op.h"
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namespace paddle {
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namespace operators {
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class MulOp : public framework::OperatorWithKernel {
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DEFINE_OPERATOR_CTOR(MulOp, framework::OperatorWithKernel);
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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auto dim0 = ctx.Input<Tensor>("X")->dims();
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auto dim1 = ctx.Input<Tensor>("Y")->dims();
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PADDLE_ENFORCE_EQ(dim0.size(), 2,
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"input X(%s) should be a tensor with 2 dims, a matrix",
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ctx.op_.Input("X"));
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PADDLE_ENFORCE_EQ(dim1.size(), 2,
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"input Y(%s) should be a tensor with 2 dims, a matrix",
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ctx.op_.Input("Y"));
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PADDLE_ENFORCE_EQ(
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dim0[1], dim1[0],
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"First matrix's width must be equal with second matrix's height.");
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ctx.Output<Tensor>("Out")->Resize({dim0[0], dim1[1]});
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}
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};
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class MulOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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MulOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The first input of mul op");
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AddInput("Y", "The second input of mul op");
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AddOutput("Out", "The output of mul op");
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AddComment(R"DOC(
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Two Element Mul Operator.
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The equation is: Out = X * Y
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)DOC");
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}
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};
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class MulOpGrad : public framework::OperatorWithKernel {
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DEFINE_OPERATOR_CTOR(MulOpGrad, framework::OperatorWithKernel)
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {}
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std::string DebugString() const override {
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LOG(INFO) << "MulGrad";
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return "";
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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_OP(mul, ops::MulOp, ops::MulOpMaker);
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REGISTER_GRADIENT_OP(mul, mul_grad, ops::MulOpGrad);
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REGISTER_OP_CPU_KERNEL(mul, ops::MulKernel<paddle::platform::CPUPlace, float>);
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