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126 lines
4.4 KiB
126 lines
4.4 KiB
/* Copyright (c) 2020 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/mv_op.h"
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namespace paddle {
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namespace operators {
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class MVOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The matrix input of mv op");
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AddInput("Vec", "The vector input of mv op");
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AddOutput("Out", "The output of mv op");
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AddComment(R"DOC(
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MV Operator.
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This operator is used to perform matrix vector multiplication
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of the input tensors `X` and `Vec`.
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)DOC");
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}
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};
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class MVOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContext *context) const override {
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OP_INOUT_CHECK(context->HasInput("X"), "Input", "X", "mv");
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OP_INOUT_CHECK(context->HasInput("Vec"), "Input", "Vec", "mv");
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OP_INOUT_CHECK(context->HasOutput("Out"), "Output", "Out", "mv");
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auto dim_x = context->GetInputDim("X");
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auto dim_vec = context->GetInputDim("Vec");
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PADDLE_ENFORCE_EQ(
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dim_x.size(), 2,
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platform::errors::InvalidArgument(
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"The rank of input X should be 2, but is %d", dim_x.size()));
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PADDLE_ENFORCE_EQ(
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dim_vec.size(), 1,
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platform::errors::InvalidArgument(
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"The rank of input Vec should be 1, but is %d", dim_vec.size()));
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PADDLE_ENFORCE_EQ(dim_x[1], dim_vec[0],
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platform::errors::InvalidArgument(
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"X's second dimension is expected to be equal to "
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"Vec's first dimension"
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"but recieved X'shape = [%s], Vec's shape = [%s]",
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dim_x, dim_vec));
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framework::DDim dim_out = framework::make_ddim({dim_x[0]});
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context->SetOutputDim("Out", dim_out);
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context->ShareLoD("X", /*->*/ "Out");
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}
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};
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template <typename T>
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class MVOpGradMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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protected:
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void Apply(GradOpPtr<T> retv) const override {
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retv->SetType("mv_grad");
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retv->SetInput("X", this->Input("X"));
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retv->SetInput("Vec", this->Input("Vec"));
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retv->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
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retv->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
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retv->SetOutput(framework::GradVarName("Vec"), this->InputGrad("Vec"));
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}
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};
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class MVOpGrad : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContext *context) const override {
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OP_INOUT_CHECK(context->HasInput("X"), "Input", "X", "mv");
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OP_INOUT_CHECK(context->HasInput("Vec"), "Input", "Vec", "mv");
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OP_INOUT_CHECK(context->HasInput(framework::GradVarName("Out")), "Input",
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"Out@GRAD", "mv");
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auto x_dims = context->GetInputDim("X");
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auto vec_dims = context->GetInputDim("Vec");
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auto x_grad_name = framework::GradVarName("X");
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auto vec_grad_name = framework::GradVarName("Vec");
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if (context->HasOutput(x_grad_name)) {
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context->SetOutputDim(x_grad_name, x_dims);
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}
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if (context->HasOutput(vec_grad_name)) {
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context->SetOutputDim(vec_grad_name, vec_dims);
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}
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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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namespace plat = paddle::platform;
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REGISTER_OPERATOR(mv, ops::MVOp, ops::MVOpMaker,
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ops::MVOpGradMaker<paddle::framework::OpDesc>,
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ops::MVOpGradMaker<paddle::imperative::OpBase>);
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REGISTER_OPERATOR(mv_grad, ops::MVOpGrad);
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REGISTER_OP_CPU_KERNEL(
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mv, ops::MVKernel<paddle::platform::CPUDeviceContext, float>,
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ops::MVKernel<paddle::platform::CPUDeviceContext, double>);
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REGISTER_OP_CPU_KERNEL(
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mv_grad, ops::MVGradKernel<paddle::platform::CPUDeviceContext, float>,
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ops::MVGradKernel<paddle::platform::CPUDeviceContext, double>);
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