/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/diag_op.h" namespace paddle { namespace operators { class DiagOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { PADDLE_ENFORCE(ctx->HasInput("Diagonal"), "Input(Diagonal) of DiagOp should not be null."); PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) of DiagOp should not be null."); auto s_dims = ctx->GetInputDim("Diagonal"); PADDLE_ENFORCE(s_dims.size() == 1, "The rank of Input(Diagonal) should only be 1."); ctx->SetOutputDim("Out", {s_dims[0], s_dims[0]}); } }; class DiagOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("Diagonal", "Diagonal values of square matrix. It is a tensor with rank 1."); AddOutput("Out", "A square matrix."); AddComment(R"DOC( Return a square matrix with specified diagonal values. )DOC"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR(diag, ops::DiagOp, ops::DiagOpMaker, paddle::framework::EmptyGradOpMaker); REGISTER_OP_CPU_KERNEL( diag, ops::DiagKernel, ops::DiagKernel, ops::DiagKernel, ops::DiagKernel);