forked from huawei/mindspore2022
138 lines
4.5 KiB
C++
138 lines
4.5 KiB
C++
/**
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* Copyright 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 "include/api/cell.h"
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#include "include/api/context.h"
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#include "cxx_api/factory.h"
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#include "cxx_api/graph/graph_impl.h"
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namespace mindspore {
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std::vector<Output> CellBase::operator()(const std::vector<Input> &inputs) const { return Clone()->Construct(inputs); }
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ParameterCell::ParameterCell(const ParameterCell &cell) {
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auto tmp_ptr = cell.tensor_.Clone();
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tensor_ = *tmp_ptr;
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MSTensor::DestroyTensorPtr(tmp_ptr);
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}
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ParameterCell &ParameterCell::operator=(const ParameterCell &cell) {
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if (&cell == this) {
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return *this;
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}
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auto tmp_ptr = cell.tensor_.Clone();
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tensor_ = *tmp_ptr;
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MSTensor::DestroyTensorPtr(tmp_ptr);
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return *this;
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}
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ParameterCell::ParameterCell(ParameterCell &&cell) : tensor_(cell.tensor_) {}
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ParameterCell &ParameterCell::operator=(ParameterCell &&cell) {
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if (&cell == this) {
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return *this;
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}
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tensor_ = cell.tensor_;
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return *this;
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}
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ParameterCell::ParameterCell(const MSTensor &tensor) {
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auto tmp_ptr = tensor.Clone();
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tensor_ = *tmp_ptr;
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MSTensor::DestroyTensorPtr(tmp_ptr);
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}
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ParameterCell &ParameterCell::operator=(const MSTensor &tensor) {
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auto tmp_ptr = tensor.Clone();
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tensor_ = *tmp_ptr;
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MSTensor::DestroyTensorPtr(tmp_ptr);
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return *this;
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}
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ParameterCell::ParameterCell(MSTensor &&tensor) : tensor_(tensor) {}
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ParameterCell &ParameterCell::operator=(MSTensor &&tensor) {
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tensor_ = tensor;
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return *this;
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}
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GraphCell::GraphCell(const Graph &graph) : graph_(std::make_shared<Graph>(graph)) { MS_EXCEPTION_IF_NULL(graph_); }
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GraphCell::GraphCell(const std::shared_ptr<Graph> &graph) : graph_(graph) { MS_EXCEPTION_IF_NULL(graph_); }
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GraphCell::GraphCell(Graph &&graph) : graph_(std::make_shared<Graph>(graph)) { MS_EXCEPTION_IF_NULL(graph_); }
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Status GraphCell::Run(const std::vector<MSTensor> &inputs, std::vector<MSTensor> *outputs) {
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if (executor_ == nullptr) {
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executor_ = Factory<GraphCell::GraphImpl>::Instance().Create(g_device_target);
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if (executor_ == nullptr) {
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MS_LOG(ERROR) << "Create graph impl for device target " << g_device_target << " failed.";
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return kMEFailed;
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}
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executor_->SetGraph(graph_);
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}
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return executor_->Run(inputs, outputs);
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}
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Status GraphCell::Load(uint32_t device_id) {
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if (executor_ == nullptr) {
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executor_ = Factory<GraphCell::GraphImpl>::Instance().Create(g_device_target);
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if (executor_ == nullptr) {
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MS_LOG(ERROR) << "Create graph impl for device target " << g_device_target << " failed.";
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return kMEFailed;
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}
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executor_->SetGraph(graph_);
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}
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return executor_->Load(device_id);
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}
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std::vector<MSTensor> GraphCell::GetInputs() {
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if (executor_ == nullptr) {
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executor_ = Factory<GraphCell::GraphImpl>::Instance().Create(g_device_target);
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if (executor_ == nullptr) {
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MS_LOG(ERROR) << "Create graph impl for device target " << g_device_target << " failed.";
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return {};
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}
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executor_->SetGraph(graph_);
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}
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return executor_->GetInputs();
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}
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std::vector<MSTensor> GraphCell::GetOutputs() {
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if (executor_ == nullptr) {
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executor_ = Factory<GraphCell::GraphImpl>::Instance().Create(g_device_target);
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if (executor_ == nullptr) {
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MS_LOG(ERROR) << "Create graph impl for device target " << g_device_target << " failed.";
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return {};
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}
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executor_->SetGraph(graph_);
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}
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return executor_->GetOutputs();
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}
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InputAndOutput::InputAndOutput() : cell_(nullptr), prev_(), index_(-1) {}
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InputAndOutput::InputAndOutput(const MSTensor &tensor) : prev_(), index_(-1) {
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auto tmp_ptr = tensor.Clone();
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cell_ = std::make_shared<ParameterCell>(*tmp_ptr);
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MSTensor::DestroyTensorPtr(tmp_ptr);
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}
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InputAndOutput::InputAndOutput(MSTensor &&tensor)
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: cell_(std::make_shared<ParameterCell>(tensor)), prev_(), index_(-1) {}
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InputAndOutput::InputAndOutput(const std::shared_ptr<CellBase> &cell, const std::vector<InputAndOutput> &prev,
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int32_t index)
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: cell_(cell), prev_(prev), index_(index) {}
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} // namespace mindspore
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