mirror of
https://github.com/openharmony/neural_network_runtime.git
synced 2026-07-01 08:12:02 -04:00
yangyongjie
91 lines
3.2 KiB
C++
91 lines
3.2 KiB
C++
/*
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* Copyright (c) 2022 Huawei Device Co., Ltd.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "hdi_prepared_model.h"
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#include "common/log.h"
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#include "memory_manager.h"
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#include "transform.h"
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namespace OHOS {
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namespace NeuralNetworkRuntime {
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HDIPreparedModel::HDIPreparedModel(OHOS::sptr<V1_0::IPreparedModel> hdiPreparedModel)
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: m_hdiPreparedModel(hdiPreparedModel)
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{
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hdiPreparedModel->GetVersion(m_hdiVersion.first, m_hdiVersion.second);
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}
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OH_NN_ReturnCode HDIPreparedModel::ExportModelCache(std::vector<ModelBuffer>& modelCache)
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{
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if (!modelCache.empty()) {
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LOGE("The vector of modelCache should be empty. size=%zu", modelCache.size());
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return OH_NN_INVALID_PARAMETER;
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}
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std::vector<V1_0::SharedBuffer> iBuffers;
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auto ret = m_hdiPreparedModel->ExportModelCache(iBuffers);
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if (ret != HDF_SUCCESS) {
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LOGE("Export model cache failed. ErrorCode=%d", ret);
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return OH_NN_UNAVALIDABLE_DEVICE;
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}
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auto memManager = MemoryManager::GetInstance();
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for (size_t i = 0; i < iBuffers.size(); i++) {
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auto addr = memManager->MapMemory(iBuffers[i].fd, iBuffers[i].bufferSize);
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if (addr == nullptr) {
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LOGE("Export the %zuth model cache failed, cannot not map fd to address.", i + 1);
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return OH_NN_MEMORY_ERROR;
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}
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ModelBuffer modelbuffer {addr, iBuffers[i].bufferSize};
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modelCache.emplace_back(modelbuffer);
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}
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return OH_NN_SUCCESS;
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}
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OH_NN_ReturnCode HDIPreparedModel::Run(const std::vector<IOTensor>& inputs, const std::vector<IOTensor>& outputs,
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std::vector<std::vector<int32_t>>& outputsDims, std::vector<bool>& isOutputBufferEnough)
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{
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V1_0::IOTensor iTensor;
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std::vector<V1_0::IOTensor> iInputTensors;
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for (auto& input: inputs) {
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iTensor = NNToHDI::TransIOTensor(input);
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if (iTensor.data.fd == INVALID_FD) {
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LOGE("Transform inputs tensor failed, cannot find data file descriptor.");
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return OH_NN_INVALID_PARAMETER;
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}
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iInputTensors.emplace_back(iTensor);
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}
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std::vector<V1_0::IOTensor> iOutputTensors;
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for (auto& output: outputs) {
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iTensor = NNToHDI::TransIOTensor(output);
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if (iTensor.data.fd == INVALID_FD) {
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LOGE("Transform outputs tensor failed, cannot find data file descriptor.");
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return OH_NN_INVALID_PARAMETER;
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}
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iOutputTensors.emplace_back(iTensor);
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}
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auto ret = m_hdiPreparedModel->Run(iInputTensors, iOutputTensors, outputsDims, isOutputBufferEnough);
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if (ret != HDF_SUCCESS || outputsDims.empty()) {
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LOGE("Run model failed. ErrorCode=%d", ret);
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return OH_NN_UNAVALIDABLE_DEVICE;
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}
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return OH_NN_SUCCESS;
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}
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} // namespace NeuralNetworkRuntime
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} // OHOS
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