/* * 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. */ #ifndef NEURAL_NETWORK_RUNTIME_POOLING_BUILDER_H #define NEURAL_NETWORK_RUNTIME_POOLING_BUILDER_H #include "mindir.h" #include "frameworks/native/ops_builder.h" namespace OHOS { namespace NeuralNetworkRuntime { namespace Ops { class PoolingBuilder : public OpsBuilder { public: PoolingBuilder() = default; virtual ~PoolingBuilder() = default; OH_NN_ReturnCode PoolingBuild(const std::vector& inputsIndex, const std::vector& outputsIndex, const std::vector& paramsIndex, const std::vector>& allTensors); OH_NN_ReturnCode SetInputAndOutput(const std::vector& inputsIndex, const std::vector& outputsIndex, const std::vector>& allTensors); OH_NN_ReturnCode SetKernel(std::shared_ptr tensor); OH_NN_ReturnCode SetStrides(std::shared_ptr tensor); OH_NN_ReturnCode SetPadModeOrPaddings(std::shared_ptr tensor); OH_NN_ReturnCode SetActivation(std::shared_ptr tensor); protected: std::vector m_kernelSize; std::vector m_pad; std::vector m_strides; mindspore::lite::PadMode m_padMode{mindspore::lite::PAD_MODE_PAD}; mindspore::lite::ActivationType m_activationType{mindspore::lite::ACTIVATION_TYPE_NO_ACTIVATION}; mindspore::lite::RoundMode m_roundMode = mindspore::lite::ROUND_MODE_FLOOR; mindspore::lite::Format m_format = mindspore::lite::FORMAT_NCHW; bool m_global = false; }; } // namespace Ops } // namespace NeuralNetworkRuntime } // namespace OHOS #endif // NEURAL_NETWORK_RUNTIME_POOLING_BUILDER_H