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137 lines
3.6 KiB
137 lines
3.6 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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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 <memory>
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#include "hybrid_davinci_model.h"
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#include "hybrid/model/hybrid_model.h"
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#include "hybrid/executor/hybrid_model_async_executor.h"
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#include "hybrid/node_executor/node_executor.h"
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namespace ge {
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namespace hybrid {
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class HybridDavinciModel::Impl {
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public:
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explicit Impl(GeRootModelPtr ge_model) : model_(std::move(ge_model)), executor_(&model_) {
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}
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~Impl() {
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NodeExecutorManager::GetInstance().FinalizeExecutors();
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}
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Status Init() {
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GE_CHK_STATUS_RET(NodeExecutorManager::GetInstance().EnsureInitialized(), "Failed to initialize executors");
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GE_CHK_STATUS_RET(model_.Init(), "Failed to init model.")
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GE_CHK_STATUS_RET(executor_.Init(), "Failed to init model executor.")
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return SUCCESS;
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}
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Status Execute(const vector<GeTensor> &inputs, vector<GeTensor> &outputs) {
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return executor_.Execute(inputs, outputs);
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}
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Status ModelRunStart() {
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return executor_.Start(listener_);
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}
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Status ModelRunStop() {
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return executor_.Stop();
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}
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Status EnqueueData(const std::shared_ptr<InputDataWrapper> &data) {
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return executor_.EnqueueData(data);
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}
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void SetListener(const shared_ptr<ModelListener> &listener) {
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listener_ = listener;
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}
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void SetModelId(uint32_t model_id) {
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executor_.SetModelId(model_id);
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model_.SetModelId(model_id);
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}
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void SetDeviceId(uint32_t device_id) {
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model_.SetDeviceId(device_id);
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executor_.SetDeviceId(device_id);
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}
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private:
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std::shared_ptr<ModelListener> listener_;
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HybridModel model_;
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HybridModelAsyncExecutor executor_;
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};
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HybridDavinciModel::~HybridDavinciModel() {
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delete impl_;
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}
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unique_ptr<HybridDavinciModel> HybridDavinciModel::Create(const GeRootModelPtr &ge_root_model) {
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auto instance = unique_ptr<HybridDavinciModel>(new (std::nothrow)HybridDavinciModel());
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if (instance != nullptr) {
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instance->impl_ = new (std::nothrow) HybridDavinciModel::Impl(ge_root_model);
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if (instance->impl_ != nullptr) {
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return instance;
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}
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}
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return nullptr;
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}
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Status HybridDavinciModel::Init() {
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GE_CHECK_NOTNULL(impl_);
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return impl_->Init();
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}
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Status HybridDavinciModel::Execute(const vector<GeTensor> &inputs, vector<GeTensor> &outputs) {
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GE_CHECK_NOTNULL(impl_);
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return impl_->Execute(inputs, outputs);
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}
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Status HybridDavinciModel::ModelRunStart() {
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GE_CHECK_NOTNULL(impl_);
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return impl_->ModelRunStart();
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}
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Status HybridDavinciModel::ModelRunStop() {
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GE_CHECK_NOTNULL(impl_);
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return impl_->ModelRunStop();
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}
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Status HybridDavinciModel::EnqueueData(const shared_ptr<InputDataWrapper> &data) {
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GE_CHECK_NOTNULL(impl_);
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return impl_->EnqueueData(data);
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}
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void HybridDavinciModel::SetListener(const shared_ptr<ModelListener> &listener) {
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if (impl_ != nullptr) {
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impl_->SetListener(listener);
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}
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}
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void HybridDavinciModel::SetModelId(uint32_t model_id) {
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if (impl_ != nullptr) {
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impl_->SetModelId(model_id);
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}
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}
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void HybridDavinciModel::SetDeviceId(uint32_t device_id) {
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if (impl_ != nullptr) {
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impl_->SetDeviceId(device_id);
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}
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}
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} // namespace hybrid
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} // namespace ge
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