docs/classtf_1_1Taskflow.html
| | Taskflow: A General-purpose Task-parallel Programming System |
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Public Member Functions | Friends | List of all members
tf::Taskflow Class Reference
class to create a taskflow object More...
#include <taskflow/core/taskflow.hpp>
Inheritance diagram for tf::Taskflow:
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| | Taskflow (const std::string &name) |
| | constructs a taskflow with the given name
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| |
| | Taskflow () |
| | constructs a taskflow
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| |
| | Taskflow (Taskflow &&rhs) |
| | constructs a taskflow from a moved taskflow
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| |
| Taskflow & | operator= (Taskflow &&rhs) |
| | move assignment operator
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| |
| | ~Taskflow ()=default |
| | default destructor
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| |
| void | dump (std::ostream &ostream) const |
| | dumps the taskflow to a DOT format through a std::ostream target
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| |
| std::string | dump () const |
| | dumps the taskflow to a std::string of DOT format
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| |
| size_t | num_tasks () const |
| | queries the number of tasks in this taskflow
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| |
| bool | empty () const |
| | queries if this taskflow is empty (has no tasks)
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| |
| void | name (const std::string &) |
| | assigns a new name to this taskflow
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| |
| const std::string & | name () const |
| | queries the name of this taskflow
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| |
| void | clear () |
| | clears the associated task dependency graph
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| |
| template<typename V> |
| void | for_each_task (V &&visitor) const |
| | applies a visitor to each task in this taskflow
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| |
| void | remove_dependency (Task from, Task to) |
| | removes dependencies that go from task from to task to
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| |
| Graph & | graph () |
| | returns a reference to the underlying graph object
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| |
| Public Member Functions inherited from tf::FlowBuilder |
| | FlowBuilder (Graph &graph) |
| | constructs a flow builder with a graph
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| |
| template<StaticTaskLike C> |
| Task | emplace (C &&callable) |
| | creates a static task
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| |
| template<RuntimeTaskLike C> |
| Task | emplace (C &&callable) |
| | creates a runtime task
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| |
| template<SubflowTaskLike C> |
| Task | emplace (C &&callable) |
| | creates a dynamic task
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| |
| template<ConditionTaskLike C> |
| Task | emplace (C &&callable) |
| | creates a condition task
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| |
| template<MultiConditionTaskLike C> |
| Task | emplace (C &&callable) |
| | creates a multi-condition task
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| |
| template<typename... C>
requires (sizeof...(C) > 1) |
| auto | emplace (C &&... callables) |
| | creates multiple tasks from a list of callable objects
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| |
| void | erase (Task task) |
| | removes a task from a taskflow
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| |
| template<GraphLike T> |
| Task | composed_of (T &object) |
| | creates a module task for the target object
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| |
| Task | adopt (Graph &&graph) |
| | creates a module task from a graph by taking over its ownership
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| |
| Task | placeholder () |
| | creates a placeholder task
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| |
| void | linearize (std::vector< Task > &tasks) |
| | adds adjacent dependency links to a linear list of tasks
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| |
| void | linearize (std::initializer_list< Task > tasks) |
| | adds adjacent dependency links to a linear list of tasks
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| |
| template<typename B, typename E, typename C, PartitionerLike P = DefaultPartitioner> |
| Task | for_each (B first, E last, C callable, P part=P()) |
| | constructs an STL-styled parallel-for task
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| |
| template<typename B, typename E, typename S, typename C, PartitionerLike P = DefaultPartitioner> |
| Task | for_each_index (B first, E last, S step, C callable, P part=P()) |
| | constructs an index-based parallel-for task
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| |
| template<IndexRangesLike R, typename C, PartitionerLike P = DefaultPartitioner> |
| Task | for_each_by_index (R range, C callable, P part=P()) |
| | constructs a parallel-for task over a one- or multi-dimensional index range
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| |
| template<typename B, typename E, typename O, typename C, PartitionerLike P = DefaultPartitioner> |
| Task | transform (B first1, E last1, O d_first, C c, P part=P()) |
| | constructs a parallel-transform task
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| |
| template<typename B1, typename E1, typename B2, typename O, typename C, PartitionerLike P = DefaultPartitioner>
requires (!PartitionerLike<std::decay_t<C>>) |
| Task | transform (B1 first1, E1 last1, B2 first2, O d_first, C c, P part=P()) |
| | constructs a parallel-transform task
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| |
| template<typename B, typename E, typename T, typename O, PartitionerLike P = DefaultPartitioner> |
| Task | reduce (B first, E last, T &init, O bop, P part=P()) |
| | constructs an STL-styled parallel-reduction task
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| |
| template<IndexRanges1DLike R, typename T, typename L, typename G, PartitionerLike P = DefaultPartitioner> |
| Task | reduce_by_index (R range, T &init, L lop, G gop, P part=P()) |
| | constructs an index range-based parallel-reduction task
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| |
| template<typename B, typename E, typename T, typename BOP, typename UOP, PartitionerLike P = DefaultPartitioner> |
| Task | transform_reduce (B first, E last, T &init, BOP bop, UOP uop, P part=P()) |
| | constructs an STL-styled parallel transform-reduce task
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| |
| template<typename B1, typename E1, typename B2, typename T, typename BOP_R, typename BOP_T, PartitionerLike P = DefaultPartitioner>
requires (!PartitionerLike<std::decay_t<BOP_T>>) |
| Task | transform_reduce (B1 first1, E1 last1, B2 first2, T &init, BOP_R bop_r, BOP_T bop_t, P part=P()) |
| | constructs an STL-styled parallel transform-reduce task
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| |
| template<typename B, typename E, typename D, typename BOP> |
| Task | inclusive_scan (B first, E last, D d_first, BOP bop) |
| | creates an STL-styled parallel inclusive-scan task
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| |
| template<typename B, typename E, typename D, typename BOP, typename T> |
| Task | inclusive_scan (B first, E last, D d_first, BOP bop, T init) |
| | creates an STL-styled parallel inclusive-scan task with an initial value
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| |
| template<typename B, typename E, typename D, typename T, typename BOP> |
| Task | exclusive_scan (B first, E last, D d_first, T init, BOP bop) |
| | creates an STL-styled parallel exclusive-scan task
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| |
| template<typename B, typename E, typename D, typename BOP, typename UOP> |
| Task | transform_inclusive_scan (B first, E last, D d_first, BOP bop, UOP uop) |
| | creates an STL-styled parallel transform-inclusive scan task
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| |
| template<typename B, typename E, typename D, typename BOP, typename UOP, typename T> |
| Task | transform_inclusive_scan (B first, E last, D d_first, BOP bop, UOP uop, T init) |
| | creates an STL-styled parallel transform-inclusive scan task
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| |
| template<typename B, typename E, typename D, typename T, typename BOP, typename UOP> |
| Task | transform_exclusive_scan (B first, E last, D d_first, T init, BOP bop, UOP uop) |
| | creates an STL-styled parallel transform-exclusive scan task
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| |
| template<typename B, typename E, typename T, typename UOP, PartitionerLike P = DefaultPartitioner> |
| Task | find_if (B first, E last, T &result, UOP predicate, P part=P()) |
| | constructs a task to perform STL-styled find-if algorithm
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| |
| template<typename B, typename E, typename T, typename UOP, PartitionerLike P = DefaultPartitioner> |
| Task | find_if_not (B first, E last, T &result, UOP predicate, P part=P()) |
| | constructs a task to perform STL-styled find-if-not algorithm
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| |
| template<typename B, typename E, typename T, typename C, PartitionerLike P> |
| Task | min_element (B first, E last, T &result, C comp, P part) |
| | constructs a task to perform STL-styled min-element algorithm
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| |
| template<typename B, typename E, typename T, typename C, PartitionerLike P> |
| Task | max_element (B first, E last, T &result, C comp, P part) |
| | constructs a task to perform STL-styled max-element algorithm
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| |
| template<typename B, typename E, typename C> |
| Task | sort (B first, E last, C cmp) |
| | constructs a dynamic task to perform STL-styled parallel sort
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| |
| template<typename B, typename E> |
| Task | sort (B first, E last) |
| | constructs a dynamic task to perform STL-styled parallel sort using the std::less<T> comparator, where T is the element type
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| |
| template<typename B1, typename E1, typename B2, typename E2, typename O> |
| Task | merge (B1 first1, E1 last1, B2 first2, E2 last2, O d_first) |
| | merges two sorted ranges into a single sorted output using the std::less comparator
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| |
| template<typename B1, typename E1, typename B2, typename E2, typename O, typename C> |
| Task | merge (B1 first1, E1 last1, B2 first2, E2 last2, O d_first, C cmp) |
| | merges two sorted ranges into a single sorted output using a custom comparator
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| |
| template<typename B, typename E, typename V, PartitionerLike P = DefaultPartitioner> |
| Task | fill (B first, E last, V value, P part=P()) |
| | fills a range with a given value in parallel
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| |
| template<typename B, std::integral C, typename V, PartitionerLike P = DefaultPartitioner> |
| Task | fill_n (B first, C count, V value, P part=P()) |
| | fills N elements with a given value in parallel
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| |
| template<typename B, typename E, typename G, PartitionerLike P = DefaultPartitioner> |
| Task | generate (B first, E last, G gen, P part=P()) |
| | generates values into a range in parallel using a callable
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| |
| template<typename B, std::integral C, typename G, PartitionerLike P = DefaultPartitioner> |
| Task | generate_n (B first, C count, G gen, P part=P()) |
| | generates N values into a range in parallel using a callable
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| | class | Topology | | | | class | Executor | | | | class | FlowBuilder | | | | class | Subflow | | |
class to create a taskflow object
A taskflow manages a task dependency graph where each task represents a callable object (e.g., lambda, std::function) and an edge represents a dependency between two tasks. A task is one of the following types:
std::function<void()>std::function<void(tf::Subflow&)>std::function<int()>std::function<tf::SmallVector<int>()>std::function<void(tf::Runtime&)>Each task is a basic computation unit and is run by one worker thread from an executor. The following example creates a simple taskflow graph of four static tasks, A, B, C, and D, where A runs before B and C and D runs after B and C.
tf::Executor executor;
tf::Taskflow taskflow("simple");
tf::Task A = taskflow.emplace({ std::cout << "TaskA\n"; });
tf::Task B = taskflow.emplace({ std::cout << "TaskB\n"; });
tf::Task C = taskflow.emplace({ std::cout << "TaskC\n"; });
tf::Task D = taskflow.emplace({ std::cout << "TaskD\n"; });
A.precede(B, C); // A runs before B and C
D.succeed(B, C); // D runs after B and C
executor.run(taskflow).wait();
class to create an executor
Definition executor.hpp:62
tf::Future< void > run(Taskflow &taskflow)
runs a taskflow once
class to create a task handle over a taskflow node
Definition task.hpp:569
Task & succeed(Ts &&... tasks)
adds precedence links from other tasks to this
Definition task.hpp:1266
Task & precede(Ts &&... tasks)
adds precedence links from this to other tasks
Definition task.hpp:1258
class to create a taskflow object
Definition taskflow.hpp:64
The taskflow object itself is NOT thread-safe. You should not modifying the graph while it is running, such as adding new tasks, adding new dependencies, and moving the taskflow to another.
Please refer to Cookbook to learn more about each task type and how to submit a taskflow to an executor.
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| tf::Taskflow::Taskflow | ( | const std::string & | name | ) | |
| inline |
constructs a taskflow with the given name
tf::Taskflow taskflow("My Taskflow");
std::cout << taskflow.name(); // "My Taskflow"
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| tf::Taskflow::Taskflow | ( | Taskflow && | rhs | ) | |
| inline |
constructs a taskflow from a moved taskflow
Constructing a taskflow taskflow1 from a moved taskflow taskflow2 will migrate the graph of taskflow2 to taskflow1. After the move, taskflow2 will become empty.
tf::Taskflow taskflow1(std::move(taskflow2));
assert(taskflow2.empty());
AttentionYou should avoid moving a taskflow that is currently running on an executor. Doing so results in undefined behavior.
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| tf::Taskflow::~Taskflow | ( | | ) | |
| default |
default destructor
When the destructor is called, all tasks and their associated data (e.g., captured data) will be destroyed. It is your responsibility to ensure all submitted execution of this taskflow have completed before destroying it. For instance, the following code results in undefined behavior since the executor may still be running the taskflow while it is destroyed after the block.
{
tf::Taskflow taskflow;
executor.run(taskflow);
}
To fix the problem, we must wait for the execution to complete before destroying the taskflow.
{
tf::Taskflow taskflow;
executor.run(taskflow).wait();
}
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| void tf::Taskflow::clear | ( | | ) | |
| inline |
clears the associated task dependency graph
When you clear a taskflow, all tasks and their associated data (e.g., captured data in task callables) will be destroyed. The behavior of clearing a running taskflow is undefined.
|
| std::string tf::Taskflow::dump | ( | | ) | const |
| inline |
dumps the taskflow to a std::string of DOT format
This method is similar to tf::Taskflow::dump(std::ostream& ostream), but returning a string of the graph in DOT format.
|
| void tf::Taskflow::dump | ( | std::ostream & | ostream | ) | const |
| inline |
dumps the taskflow to a DOT format through a std::ostream target
taskflow.dump(std::cout); // dump the graph to the standard output
std::ofstream ofs("output.dot");
taskflow.dump(ofs); // dump the graph to the file output.dot
For dynamically spawned tasks, such as module tasks, subflow tasks, and GPU tasks, you need to run the taskflow first before you can dump the entire graph. For subflow tasks the subflow must be retained, otherwise it is cleared when joined and the child tasks not shown in the DOT graph.
tf::Task parent = taskflow.emplace([](tf::Subflow sf){
sf.emplace({ std::cout << "child\n"; });
sf.retain(true);
});
taskflow.dump(std::cout); // this dumps only the parent tasks
executor.run(taskflow).wait();
taskflow.dump(std::cout); // this dumps both parent and child tasks
Task emplace(C &&callable)
creates a static task
Definition flow_builder.hpp:1571
class to construct a subflow graph from the execution of a dynamic task
Definition flow_builder.hpp:1735
void retain(bool flag) noexcept
specifies whether to keep the subflow after it is joined
Definition flow_builder.hpp:1844
void dump(std::ostream &ostream) const
dumps the task through an output stream
Definition task.hpp:1482
|
| bool tf::Taskflow::empty | ( | | ) | const |
| inline |
queries if this taskflow is empty (has no tasks)
An empty taskflow has no tasks, i.e., the return of tf::Taskflow::num_tasks is 0.
tf::Taskflow taskflow;
assert(taskflow.empty() == true);
taskflow.emplace({});
assert(taskflow.empty() == false);
bool empty() const
queries if this taskflow is empty (has no tasks)
Definition taskflow.hpp:381
template<typename V>
| void tf::Taskflow::for_each_task | ( | V && | visitor | ) | const |
applies a visitor to each task in this taskflow
A visitor is a callable that takes an argument of type tf::Task and returns nothing. The following example iterates each task in a taskflow and prints its name:
taskflow.for_each_task([](tf::Task task){
std::cout << task.name() << '\n';
});
const std::string & name() const
queries the name of the task
Definition task.hpp:1388
|
| Graph & tf::Taskflow::graph | ( | | ) | |
| inline |
returns a reference to the underlying graph object
A graph object is of type tf::Graph and stores a task dependency graph that can be executed by an tf::Executor.
|
| const std::string & tf::Taskflow::name | ( | | ) | const |
| inline |
queries the name of this taskflow
tf::Taskflow taskflow("foo");
assert(taskflow.name() == "foo");
|
| void tf::Taskflow::name | ( | const std::string & | name | ) | |
| inline |
assigns a new name to this taskflow
taskflow.name("foo");
assert(taskflow.name() == "foo");
|
| size_t tf::Taskflow::num_tasks | ( | | ) | const |
| inline |
queries the number of tasks in this taskflow
The number of tasks in this taskflow is defined at the first level of hierarchy. Tasks that are created dynamically, such as those via tf::Subflow, are not counted.
tf::Taskflow taskflow;
auto my_task = taskflow.emplace({});
assert(taskflow.num_tasks() == 1);
// reassign my_task to a subflow of four tasks
my_task.work([](tf::Subflow& sf){
sf.emplace(
);
});
// subflow tasks will not be counted
assert(taskflow.num_tasks() == 1);
size_t num_tasks() const
queries the number of tasks in this taskflow
Definition taskflow.hpp:376
|
| Taskflow & tf::Taskflow::operator= | ( | Taskflow && | rhs | ) | |
| inline |
move assignment operator
Moving a taskflow taskflow2 to another taskflow taskflow1 will destroy the existing graph of taskflow1 and assign it the graph of taskflow2. After the move, taskflow2 will become empty.
taskflow1 = std::move(taskflow2);
assert(taskflow2.empty());
AttentionYou should avoid moving a taskflow that is currently running on an executor. Doing so results in undefined behavior.
|
| void tf::Taskflow::remove_dependency | ( | Task | from, | | | | Task | to ) |
| inline |
removes dependencies that go from task from to task to
Parameters
| from | from task (dependent) | | to | to task (successor) |
Removing the depencency from task from to task to is equivalent to removing to from the succcessor list of from and removing from from the predecessor list of to.
tf::Taskflow taskflow;
auto a = taskflow.placeholder().name("a");
auto b = taskflow.placeholder().name("b");
auto c = taskflow.placeholder().name("c");
auto d = taskflow.placeholder().name("d");
a.precede(b, c, d);
assert(a.num_successors() == 3);
assert(b.num_predecessors() == 1);
assert(c.num_predecessors() == 1);
assert(d.num_predecessors() == 1);
taskflow.remove_dependency(a, b);
assert(a.num_successors() == 2);
assert(b.num_predecessors() == 0);
Task placeholder()
creates a placeholder task
Definition flow_builder.hpp:1635
tf::Taskflow::remove_dependency
void remove_dependency(Task from, Task to)
removes dependencies that go from task from to task to
Definition taskflow.hpp:409
AttentionFor performance reason, Taskflow does not store the graph using linked lists but vectors with contiguous space. Therefore, removing tasks or dependencies incurs linear time complexity proportional to the size of the graph and the dependency count of a task.
The documentation for this class was generated from the following file:
taskflow/core/taskflow.hpp
Maintained by Dr. Tsung-Wei Huang — Generated by 1.13.1