// 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. #pragma once #include #include #include #include #include #include #include "lite/core/kernel.h" #include "lite/core/op_registry.h" #include "lite/core/program.h" #include "lite/core/types.h" #include "lite/kernels/npu/bridges/engine.h" #include "lite/kernels/npu/bridges/registry.h" namespace paddle { namespace lite { namespace kernels { namespace bm { class SubgraphEngine : public subgraph::Engine { public: SubgraphEngine(KernelContext *ctx, int block_idx, cpp::BlockDesc *block_desc, const std::vector &input_names, const std::vector &output_names, Scope *scope) : subgraph::Engine( ctx, block_idx, block_desc, input_names, output_names, scope) {} protected: bool PrepareWorkspaceForDeviceProgram() override; bool BuildDeviceProgram() override; bool LaunchDeviceProgram() override; private: void *bmrt_hd_; std::vector device_inputs_; std::vector device_outputs_; std::map outname_map_; const char **net_names_; const bm_net_info_t *net_info_; bm_handle_t bm_hd_; }; class SubgraphCompute : public KernelLite { public: using param_t = operators::SubgraphParam; void PrepareForRun() override; void Run() override; virtual ~SubgraphCompute() = default; private: std::unique_ptr engine_; }; } // namespace bm } // namespace kernels } // namespace lite } // namespace paddle