/* * Copyright (c) 2022 Huawei Device Co., Ltd. * 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 "relu6_builder.h" #include "mindir.h" #include "frameworks/native/ops_registry.h" namespace OHOS { namespace NeuralNetworkRuntime { namespace Ops { static const int INPUT_NUM = 1; static const int OUTPUT_NUM = 1; static const std::string OP_NAME = "Relu6"; Relu6Builder::Relu6Builder() {} Relu6Builder::~Relu6Builder() {} OH_NN_ReturnCode Relu6Builder::Build(const std::vector& paramsIndex, const std::vector& inputsIndex, const std::vector& outputsIndex, const std::vector>& allTensors) { if (m_isBuild) { LOGE("[Relu6] Build failed, operation has been build, cannot build again."); return OH_NN_OPERATION_FORBIDDEN; } OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM); if (returnCode != OH_NN_SUCCESS) { LOGE("[Relu6] Build failed, passed invalid input or output indices."); return returnCode; } if (!paramsIndex.empty()) { LOGW("[Relu6] Build failed, the Relu6 expects no parameters, but receive %zu", paramsIndex.size()); return OH_NN_INVALID_PARAMETER; } m_inputsIndex = inputsIndex; m_outputsIndex = outputsIndex; SetQuantType(outputsIndex, allTensors); m_isBuild = true; m_name = OP_NAME; return OH_NN_SUCCESS; } LiteGraphPrimitvePtr Relu6Builder::GetPrimitive() { if (!m_isBuild) { LOGE("[Relu6] GetPrimitive failed, cannot get primitive before call build."); return {nullptr, DestroyLiteGraphPrimitive}; } float alpha{0.0f}; float minVal{0.0f}; float maxVal{0.0f}; bool approximate{false}; mindspore::lite::ActivationType activationType{mindspore::lite::ACTIVATION_TYPE_RELU6}; void* primitive = mindspore::lite::MindIR_Activation_CreatePrimitive(activationType, alpha, minVal, maxVal, approximate); LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive); return graphPrimitivePtr; } REGISTER_OPS(Relu6Builder, OH_NN_OPS_RELU6); } // namespace Ops } // namespace NeuralNetworkRuntime } // namespace OHOS