// Copyright (c) 2021 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/share_buffer_op.h" namespace paddle { namespace operators { class ShareBufferOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override {} protected: framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { // dtype is not important return framework::OpKernelType(framework::proto::VarType::FP32, ctx.GetPlace()); } framework::OpKernelType GetKernelTypeForVar( const std::string& var_name, const framework::Tensor& tensor, const framework::OpKernelType& expected_kernel_type) const override { return expected_kernel_type; } }; class ShareBufferOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("X", "(Tensor), The input tensors of share buffer op") .AsDuplicable(); AddOutput("Out", "(Tensor), The output tensors of share buffer op") .AsDuplicable(); AddOutput("XOut", "(Tensor), The output tensors which are the same as X. It is " "used to build the graph dependency") .AsDuplicable(); AddAttr>("share_dims_and_dtype", "Whether to share dims and data type") .SetDefault(std::vector()); AddComment( R"DOC(Operator used to perform inplace memory reuse. It should be not exposed to Python APIs.)DOC"); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OPERATOR(share_buffer, ops::ShareBufferOp, ops::ShareBufferOpMaker); // dtype is not important REGISTER_OP_CPU_KERNEL(share_buffer, ops::ShareBufferOpKernel);