mindspore2022/mindspore/ccsrc/minddata/dataset/engine/execution_tree.h

223 lines
9.0 KiB
C++

/**
* Copyright 2019-2021 Huawei Technologies 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 MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_EXECUTION_TREE_H_
#define MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_EXECUTION_TREE_H_
#include <functional>
#include <memory>
#include <stack>
#include <string>
#include <vector>
#ifndef ENABLE_ANDROID
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__APPLE__)
#include <sys/sysinfo.h>
#include <opencv2/imgproc/imgproc.hpp>
#endif
#endif
#include "minddata/dataset/engine/datasetops/dataset_op.h"
#include "minddata/dataset/util/status.h"
#include "mindspore/ccsrc/minddata/dataset/engine/perf/profiling.h"
namespace mindspore {
namespace dataset {
// Forward declares
class TaskGroup;
class DatasetOp;
class Pass;
using OptPass = std::vector<std::unique_ptr<Pass>>;
class ExecutionTree {
public:
// State flags for the lifecycle of the tree
enum TreeState {
kDeTStateInit = 0, // The freshly initialized state after construction
kDeTStateBuilding, // The tree is being built, nodes are being added
kDeTStatePrepared, // The tree has been prepared and is ready to be launched
kDeTStateExecuting, // The tree has been launched and is executing
kDeTStateEpochEnd, // The tree has been received end of epoch signal, just for profiling
kDeTStateFinished // The tree has been drained, dataset iterator received EOF
};
class Iterator {
public:
// Constructor
// @param root The root node to start iterating from
explicit Iterator(const std::shared_ptr<DatasetOp> &root = nullptr);
// Destructor
~Iterator() {}
Iterator &operator++() {
++ind_;
return *this;
} // prefix ++ overload
Iterator operator++(int) {
Iterator it = *this;
it.ind_ = ind_;
ind_++;
return it;
} // post-fix ++ overload
Iterator &operator--() {
--ind_;
return *this;
} // prefix -- overload
Iterator operator--(int) {
Iterator it = *this;
it.ind_ = ind_;
ind_--;
return it;
} // post-fix -- overload
DatasetOp &operator*() { return *nodes_[ind_]; } // dereference operator
std::shared_ptr<DatasetOp> operator->() { return nodes_[ind_]; }
// getter function
// @return Shared pointer to the current operator
std::shared_ptr<DatasetOp> get() { return nodes_[ind_]; }
bool operator==(const Iterator &rhs) { return nodes_[ind_] == rhs.nodes_[rhs.ind_]; }
bool operator!=(const Iterator &rhs) { return nodes_[ind_] != rhs.nodes_[rhs.ind_]; }
int32_t NumNodes() { return nodes_.size(); }
private:
int32_t ind_; // the cur node our Iterator points to
std::vector<std::shared_ptr<DatasetOp>> nodes_; // store the nodes in post order
void PostOrderTraverse(const std::shared_ptr<DatasetOp> &);
};
// Constructor
ExecutionTree();
// Destructor
~ExecutionTree();
/// \brief Associates a DatasetOp with this tree. This assigns a valid node id to the operator and
/// provides it with a link to the tree. A node cannot form any relationships (parent/child) with
/// other nodes unless they are associated with the same tree.
/// \param op - The operator to associate
/// \return Status The status code returned
Status AssociateNode(const std::shared_ptr<DatasetOp> &op);
/// \brief Set the root node of the tree
/// \param op - The operator to assign as root
/// \return Status The status code returned
Status AssignRoot(const std::shared_ptr<DatasetOp> &op);
/// \brief Start the execution of the tree
/// \return Status The status code returned
Status Launch();
/// /brief A print method typically used for debugging
/// \param out - The output stream to write output to
void Print(std::ostream &out, const std::shared_ptr<DatasetOp> &op = nullptr) const;
/// \brief Return an iterator positioned at the start
/// \return Iterator - The iterator
ExecutionTree::Iterator begin(const std::shared_ptr<DatasetOp> &root = nullptr) const {
return Iterator(root == nullptr ? root_ : root);
}
/// \brief Return an iterator positioned at the end
/// \return Iterator - The iterator
ExecutionTree::Iterator end() const { return Iterator(nullptr); }
/// \brief << Stream output operator overload
/// \notes This allows you to write the debug print info using stream operators
/// \param out - reference to the output stream being overloaded
/// \param exe_tree - reference to the execution tree to display
/// \return - the output stream must be returned
friend std::ostream &operator<<(std::ostream &out, ExecutionTree &exe_tree) {
exe_tree.Print(out);
return out;
}
/// \brief Given the number of workers, launches the worker entry function for each. Essentially a
/// wrapper for the TaskGroup handling that is stored inside the execution tree.
/// \param num_workers - The number of workers to launch
/// \param func - The function entry point that workers will execute
/// \param name - The description of worker to launch
/// \param op_id - The id of corresponding operator, if not inherit from dataset op then it is -1.
/// \return Status The status code returned
Status LaunchWorkers(int32_t num_workers, std::function<Status(uint32_t)> func, std::string name = "",
int32_t operator_id = -1);
/// \brief Getter method
/// \return shared_ptr to the root operator
std::shared_ptr<DatasetOp> root() const { return root_; }
/// \brief The prepare phase walks the tree in post-order to perform modifications to get it ready for execution.
/// \return Status The status code returned
Status Prepare();
/// \brief Return the pointer to the TaskGroup
/// \return raw pointer to the TaskGroup
TaskGroup *const AllTasks() const { return tg_.get(); }
/// \brief Return if the ExecutionTree is at end of epoch status
/// \return bool - true is ExecutionTree is end of epoch status
bool IsEpochEnd() const { return tree_state_ == TreeState::kDeTStateEpochEnd; }
/// \brief Set the ExecutionTree to EOE state
void SetEpochEnd() { tree_state_ = TreeState::kDeTStateEpochEnd; }
/// \brief Set the ExecutionTree to executing state
void SetExecuting() { tree_state_ = TreeState::kDeTStateExecuting; }
/// \brief Set the ExecutionTree to Finished state.
void SetFinished() { tree_state_ = TreeState::kDeTStateFinished; }
/// \brief Return if the ExecutionTree is finished (iterator receives EOF).
/// \return Bool - true is ExecutionTree is finished
bool isFinished() const { return tree_state_ == TreeState::kDeTStateFinished; }
/// \brief Return if the ExecutionTree is ready.
/// \return Bool - true is ExecutionTree is ready
bool isPrepared() const {
return tree_state_ == TreeState::kDeTStatePrepared || tree_state_ == TreeState::kDeTStateExecuting ||
tree_state_ == TreeState::kDeTStateFinished;
}
/// \brief Getter for profiling manager, no ownership
ProfilingManager *GetProfilingManager() { return profiling_manager_.get(); }
private:
/// \brief A helper functions for doing the recursive printing
/// \param dataset_op - The dataset op to print
/// \param indent - an indent string for aligning child levels in output
/// \param last - an indicator if it's the last child or not
/// \param detailed - should it display the detailed node output or the summary line
void PrintNode(std::ostream &out, const std::shared_ptr<DatasetOp> &dataset_op, std::string indent, bool last,
bool detailed) const;
std::unique_ptr<TaskGroup> tg_; // Class for worker management
std::shared_ptr<DatasetOp> root_; // The root node of the tree
int32_t id_count_; // Counter for generating operator id's
uint32_t prepare_flags_; // Flags used during tree prepare
TreeState tree_state_; // Tracking the current tree state
std::unique_ptr<ProfilingManager> profiling_manager_; // Profiling manager
#if defined(ENABLE_GPUQUE) || defined(ENABLE_TDTQUE)
// This rank_id is for numa and device_queue, one process work with only one rank_id,
// for standalone scenario, this rank_id may come from env 'CUDA_VISIBLE_DEVICES',
// but for distribute scenario, this rank_id come from _get_global_rank() in python
int32_t rank_id_;
bool numa_enable_;
void *handle_;
#endif
};
} // namespace dataset
} // namespace mindspore
#endif // MINDSPORE_CCSRC_MINDDATA_DATASET_ENGINE_EXECUTION_TREE_H_