// Copyright (c) 2022 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 "fastdeploy/runtime/backends/backend.h" #include "fastdeploy/core/fd_tensor.h" #include "dnn/hb_dnn.h" namespace fastdeploy { class HorizonBackend : public BaseBackend { public: HorizonBackend() = default; ~HorizonBackend(); // Horizon Backend implementation. bool Init(const RuntimeOption& runtime_option); int NumInputs() const override { return static_cast(inputs_desc_.size()); } int NumOutputs() const override { return static_cast(outputs_desc_.size()); } TensorInfo GetInputInfo(int index) override; TensorInfo GetOutputInfo(int index) override; std::vector GetInputInfos() override; std::vector GetOutputInfos() override; bool Infer(std::vector& inputs, std::vector* outputs, bool copy_to_fd = true) override; private: hbPackedDNNHandle_t packed_dnn_handle_; hbDNNHandle_t dnn_handle_; hbDNNTensorProperties *input_properties_ = nullptr; hbDNNTensorProperties *output_properties_ = nullptr; hbDNNTensor *input_mems_; hbDNNTensor *output_mems_; bool infer_init_ = false; std::vector inputs_desc_; std::vector outputs_desc_; bool GetModelInputOutputInfos(); bool LoadModel(const char *model); static FDDataType HorizonTensorTypeToFDDataType(int32_t type); static hbDNNDataType FDDataTypeToHorizonTensorType(FDDataType type); }; } // namespace fastdeploy