| /* |
| * Copyright (C) 2017 The Android Open Source Project |
| * |
| * 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. |
| */ |
| |
| #ifndef ANDROID_HARDWARE_V1_0_HEXAGON_OPERATIONS_H |
| #define ANDROID_HARDWARE_V1_0_HEXAGON_OPERATIONS_H |
| |
| #include <android/hardware/neuralnetworks/1.0/types.h> |
| #include <functional> |
| #include <map> |
| #include "HexagonUtils.h" |
| #include "hexagon_nn_controller/hexagon_nn_controller.h" |
| |
| namespace android { |
| namespace hardware { |
| namespace neuralnetworks { |
| namespace V1_0 { |
| namespace implementation { |
| namespace hexagon { |
| |
| class Model; |
| using HexagonModel = ::android::hardware::neuralnetworks::V1_0::implementation::hexagon::Model; |
| |
| using ::android::hardware::neuralnetworks::V1_0::Operand; |
| |
| using OperationTuple = std::pair<OperationType, OperandType>; |
| |
| using HexagonOperationFn = |
| std::function<bool(const std::vector<uint32_t>& /* ins */, |
| const std::vector<uint32_t>& /* outs */, HexagonModel* /* model */)>; |
| |
| using OperationTable = std::map<OperationTuple, HexagonOperationFn>; |
| OperationTable& getOperationPrepareTable(); |
| OperationTable& getOperationCheckTable(); |
| |
| } // namespace hexagon |
| } // namespace implementation |
| } // namespace V1_0 |
| } // namespace neuralnetworks |
| } // namespace hardware |
| } // namespace android |
| |
| #endif // ANDROID_HARDWARE_V1_0_HEXAGON_OPERATIONS_H |