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Commit 4ee1f664 authored by Davis King's avatar Davis King
Browse files

Made thread_pool and parallel_for propagate exceptions from task threads to 

calling code.
parent 5b361945
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Showing with 171 additions and 140 deletions
dlib/test/thread_pool.cpp
View file @ 4ee1f664
......@@ -369,6 +369,39 @@ namespace
DLIB_TEST(d == 4);
}
tp.wait_for_all_tasks();
// make sure exception propagation from tasks works correctly.
auto f_throws = []() { throw dlib::error("test exception");};
bool got_exception = false;
try
{
tp.add_task_by_value(f_throws);
tp.wait_for_all_tasks();
}
catch(dlib::error& e)
{
DLIB_TEST(e.info == "test exception");
got_exception = true;
}
DLIB_TEST(got_exception);
dlib::future<int> aa;
auto f_throws2 = [](int& a) { a = 1; throw dlib::error("test exception");};
got_exception = false;
try
{
tp.add_task(f_throws2, aa);
aa.get();
}
catch(dlib::error& e)
{
DLIB_TEST(e.info == "test exception");
got_exception = true;
}
DLIB_TEST(got_exception);
}
}
......
dlib/threads/parallel_for_extension_abstract.h
View file @ 4ee1f664
......@@ -24,7 +24,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This is a convenience function for submitting a block of jobs to a thread_pool.
In particular, given the half open range [begin, end), this function will
......@@ -61,7 +60,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
thread_pool tp(num_threads);
......@@ -82,7 +80,6 @@ namespace dlib
requires
- chunks_per_thread > 0
- begin <= end
- funct does not throw any exceptions
ensures
- This is a convenience function for submitting a block of jobs to a
thread_pool. In particular, given the range [begin, end), this function will
......@@ -117,7 +114,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
thread_pool tp(num_threads);
......@@ -137,7 +133,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
parallel_for_blocked(default_thread_pool(), begin, end, funct, chunks_per_thread);
......@@ -159,7 +154,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following function call:
parallel_for_blocked(tp, begin, end, [&](long begin_sub, long end_sub)
......@@ -189,7 +183,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
thread_pool tp(num_threads);
......@@ -210,7 +203,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following function call:
parallel_for_blocked(tp, begin, end, [&](long begin_sub, long end_sub)
......@@ -238,7 +230,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
thread_pool tp(num_threads);
......@@ -258,7 +249,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is equivalent to the following block of code:
parallel_for(default_thread_pool(), begin, end, funct, chunks_per_thread);
......@@ -280,7 +270,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for() routine defined above except
that it will print messages to cout showing the progress in executing the
......@@ -302,7 +291,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for() routine defined above except
that it will print messages to cout showing the progress in executing the
......@@ -323,7 +311,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for() routine defined above except
that it will print messages to cout showing the progress in executing the
......@@ -344,7 +331,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for() routine defined above except
that it will print messages to cout showing the progress in executing the
......@@ -364,7 +350,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for() routine defined above except
that it will print messages to cout showing the progress in executing the
......@@ -388,7 +373,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for_blocked() routine defined
above except that it will print messages to cout showing the progress in
......@@ -410,7 +394,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for_blocked() routine defined
above except that it will print messages to cout showing the progress in
......@@ -431,7 +414,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for_blocked() routine defined
above except that it will print messages to cout showing the progress in
......@@ -452,7 +434,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for_blocked() routine defined
above except that it will print messages to cout showing the progress in
......@@ -472,7 +453,6 @@ namespace dlib
requires
- begin <= end
- chunks_per_thread > 0
- funct does not throw any exceptions
ensures
- This function is identical to the parallel_for_blocked() routine defined
above except that it will print messages to cout showing the progress in
......
dlib/threads/thread_pool_extension.cpp
View file @ 4ee1f664
......@@ -61,6 +61,11 @@ namespace dlib
}
wait();
// Throw any unhandled exceptions. Since shutdown_pool() is only called in the
// destructor this will kill the program.
for (auto&& task : tasks)
task.propagate_exception();
}
// ----------------------------------------------------------------------------------------
......@@ -94,6 +99,9 @@ namespace dlib
const unsigned long idx = task_id_to_index(task_id);
while (tasks[idx].task_id == task_id)
task_done_signaler.wait();
for (auto&& task : tasks)
task.propagate_exception();
}
}
......@@ -124,6 +132,10 @@ namespace dlib
if (found_task)
task_done_signaler.wait();
}
// throw any exceptions generated by the tasks
for (auto&& task : tasks)
task.propagate_exception();
}
// ----------------------------------------------------------------------------------------
......@@ -177,15 +189,23 @@ namespace dlib
task = tasks[idx];
}
// now do the task
if (task.bfp)
task.bfp();
else if (task.mfp0)
task.mfp0();
else if (task.mfp1)
task.mfp1(task.arg1);
else if (task.mfp2)
task.mfp2(task.arg1, task.arg2);
std::exception_ptr eptr;
try
{
// now do the task
if (task.bfp)
task.bfp();
else if (task.mfp0)
task.mfp0();
else if (task.mfp1)
task.mfp1(task.arg1);
else if (task.mfp2)
task.mfp2(task.arg1, task.arg2);
}
catch(...)
{
eptr = std::current_exception();
}
// Now let others know that we finished the task. We do this
// by clearing out the state of this task
......@@ -198,6 +218,7 @@ namespace dlib
tasks[idx].mfp2.clear();
tasks[idx].arg1 = 0;
tasks[idx].arg2 = 0;
tasks[idx].eptr = eptr;
task_done_signaler.broadcast();
}
......@@ -210,6 +231,9 @@ namespace dlib
find_empty_task_slot (
) const
{
for (auto&& task : tasks)
task.propagate_exception();
for (unsigned long i = 0; i < tasks.size(); ++i)
{
if (tasks[i].is_empty())
......
dlib/threads/thread_pool_extension.h
View file @ 4ee1f664
......@@ -13,6 +13,7 @@
#include "../array.h"
#include "../smart_pointers_thread_safe.h"
#include "../smart_pointers.h"
#include <exception>
namespace dlib
{
......@@ -451,6 +452,17 @@ namespace dlib
bfp_type bfp;
shared_ptr<function_object_copy> function_copy;
mutable std::exception_ptr eptr; // non-null if the task threw an exception
void propagate_exception() const
{
if (eptr)
{
auto tmp = eptr;
eptr = nullptr;
std::rethrow_exception(tmp);
}
}
};
......
dlib/threads/thread_pool_extension_abstract.h
View file @ 4ee1f664
......@@ -225,9 +225,11 @@ namespace dlib
such as mutex objects.
EXCEPTIONS
Note that if an exception is thrown inside a task thread and
is not caught then the normal rule for uncaught exceptions in
threads applies. That is, the application will be terminated.
Note that if an exception is thrown inside a task thread and is not caught
then the exception will be trapped inside the thread pool and rethrown at a
later time when someone calls one of the add task or wait member functions
of the thread pool. This allows exceptions to propagate out of task threads
and into the calling code where they can be handled.
!*/
public:
......
examples/thread_pool_ex.cpp
View file @ 4ee1f664
......@@ -5,8 +5,8 @@
object from the dlib C++ Library.
This is a very simple example. It creates a thread pool with 3
threads and then sends a few simple tasks to the pool.
In this example we will crate a thread pool with 3 threads and then show a
few different ways to send tasks to the pool.
*/
......@@ -17,18 +17,19 @@
using namespace dlib;
// We will be using the dlib logger object to print out messages in this example
// We will be using the dlib logger object to print messages in this example
// because its output is timestamped and labeled with the thread that the log
// message came from. So this will make it easier to see what is going on in
// this example. Here we make an instance of the logger. See the logger
// message came from. This will make it easier to see what is going on in this
// example. Here we make an instance of the logger. See the logger
// documentation and examples for detailed information regarding its use.
logger dlog("main");
// Here we make an instance of the thread pool object
// Here we make an instance of the thread pool object. You could also use the
// global dlib::default_thread_pool(), which automatically selects the number of
// threads based on your hardware. But here let's make our own.
thread_pool tp(3);
// ----------------------------------------------------------------------------------------
class test
......@@ -37,27 +38,27 @@ class test
The thread_pool accepts "tasks" from the user and schedules them for
execution in one of its threads when one becomes available. Each task
is just a request to call a function. So here we create a class called
test with a few member functions which we will have the thread pool call
test with a few member functions, which we will have the thread pool call
as tasks.
*/
public:
void task()
void mytask()
{
dlog << LINFO << "task start";
dlog << LINFO << "mytask start";
future<int> var;
dlib::future<int> var;
var = 1;
// Here we ask the thread pool to call this->subtask() and this->subtask2().
// Note that calls to add_task() will return immediately if there is an
// available thread to hand the task off to. However, if there isn't a
// thread ready then add_task() blocks until there is such a thread.
// Also note that since task() is executed within the thread pool (see main() below)
// calls to add_task() will execute the requested task within the calling thread
// in cases where the thread pool is full. This means it is always safe to
// spawn subtasks from within another task, which is what we are doing here.
// available thread. However, if there isn't a thread ready then
// add_task() blocks until there is such a thread. Also, note that if
// mytask() is executed within the thread pool then calls to add_task()
// will execute the requested task within the calling thread in cases
// where the thread pool is full. This means it is always safe to spawn
// subtasks from within another task, which is what we are doing here.
tp.add_task(*this,&test::subtask,var); // schedule call to this->subtask(var)
tp.add_task(*this,&test::subtask2); // schedule call to this->subtask2()
......@@ -66,17 +67,16 @@ public:
// return the integer it contains. In this case result will be assigned
// the value 2 since var was incremented by subtask().
int result = var;
// print out the result
dlog << LINFO << "var = " << result;
// Wait for all the tasks we have started to finish. Note that
// wait_for_all_tasks() only waits for tasks which were started
// by the calling thread. So you don't have to worry about other
// unrelated parts of your application interfering. In this case
// it just waits for subtask2() to finish.
// wait_for_all_tasks() only waits for tasks which were started by the
// calling thread. So you don't have to worry about other unrelated
// parts of your application interfering. In this case it just waits
// for subtask2() to finish.
tp.wait_for_all_tasks();
dlog << LINFO << "task end" ;
dlog << LINFO << "mytask end" ;
}
void subtask(int& a)
......@@ -96,23 +96,7 @@ public:
// ----------------------------------------------------------------------------------------
class add_value
{
public:
add_value(int value):val(value) { }
void operator()( int& a )
{
a += val;
}
private:
int val;
};
// ----------------------------------------------------------------------------------------
int main()
int main() try
{
// tell the logger to print out everything
dlog.set_level(LALL);
......@@ -120,84 +104,80 @@ int main()
dlog << LINFO << "schedule a few tasks";
test mytask;
// Schedule the thread pool to call mytask.task(). Note that all forms of add_task()
// pass in the task object by reference. This means you must make sure, in this case,
// that mytask isn't destructed until after the task has finished executing.
tp.add_task(mytask, &test::task);
// You can also pass task objects to a thread pool by value. So in this case we don't
// have to worry about keeping our own instance of the task. Here we construct a temporary
// add_value object and pass it right in and everything works like it should.
future<int> num = 3;
tp.add_task_by_value(add_value(7), num); // adds 7 to num
int result = num.get();
dlog << LINFO << "result = " << result; // prints result = 10
test taskobj;
// Schedule the thread pool to call taskobj.mytask(). Note that all forms of
// add_task() pass in the task object by reference. This means you must make sure,
// in this case, that taskobj isn't destructed until after the task has finished
// executing.
tp.add_task(taskobj, &test::mytask);
// This behavior of add_task() enables it to guarantee that no memory allocations
// occur after the thread_pool has been constructed, so long as the user doesn't
// call any of the add_task_by_value() routines. The future object also doesn't
// perform any memory allocations or contain any system resources such as mutex
// objects. If you don't care about memory allocations then you will likely find
// the add_task_by_value() interface more convenient to use, which is shown below.
// uncomment this line if your compiler supports the new C++0x lambda functions
//#define COMPILER_SUPPORTS_CPP0X_LAMBDA_FUNCTIONS
#ifdef COMPILER_SUPPORTS_CPP0X_LAMBDA_FUNCTIONS
// In the above examples we had to explicitly create task objects which is
// inconvenient. If you have a compiler which supports C++0x lambda functions
// then you can use the following simpler method.
// If we call add_task_by_value() we pass task objects to a thread pool by value.
// So in this case we don't have to worry about keeping our own instance of the
// task. Here we create a lambda function and pass it right in and everything
// works like it should.
dlib::future<int> num = 3;
tp.add_task_by_value([](int& val){val += 7;}, num); // adds 7 to num
int result = num.get();
dlog << LINFO << "result = " << result; // prints result = 10
// make a task which will just log a message
tp.add_task_by_value([](){
dlog << LINFO << "A message from a lambda function running in another thread.";
});
// Here we make 10 different tasks, each assigns a different value into
// the elements of the vector vect.
std::vector<int> vect(10);
// dlib also contains dlib::async(), which is essentially identical to std::async()
// except that it launches tasks to a dlib::thread_pool (using add_task_by_value)
// rather than starting an unbounded number of threads. As an example, here we
// make 10 different tasks, each assigns a different value into the elements of the
// vector vect.
std::vector<std::future<unsigned long>> vect(10);
for (unsigned long i = 0; i < vect.size(); ++i)
{
// Make a lambda function which takes vect by reference and i by value. So what
// will happen is each assignment statement will run in a thread in the thread_pool.
tp.add_task_by_value([&vect,i](){
vect[i] = i;
});
}
// Wait for all tasks which were requested by the main thread to complete.
tp.wait_for_all_tasks();
vect[i] = dlib::async(tp, [i]() { return i*i; });
// Print the results
for (unsigned long i = 0; i < vect.size(); ++i)
{
dlog << LINFO << "vect["<<i<<"]: " << vect[i];
}
#endif
/* A possible run of this program might produce the following output (the first column is
the time the log message occurred and the value in [] is the thread id for the thread
that generated the log message):
1 INFO [0] main: schedule a few tasks
1 INFO [1] main: task start
1 INFO [0] main: result = 10
201 INFO [2] main: subtask end
201 INFO [1] main: var = 2
201 INFO [2] main: A message from a lambda function running in another thread.
301 INFO [3] main: subtask2 end
301 INFO [1] main: task end
301 INFO [0] main: vect[0]: 0
301 INFO [0] main: vect[1]: 1
301 INFO [0] main: vect[2]: 2
301 INFO [0] main: vect[3]: 3
301 INFO [0] main: vect[4]: 4
301 INFO [0] main: vect[5]: 5
301 INFO [0] main: vect[6]: 6
301 INFO [0] main: vect[7]: 7
301 INFO [0] main: vect[8]: 8
301 INFO [0] main: vect[9]: 9
*/
}
dlog << LINFO << "vect["<<i<<"]: " << vect[i].get();
// Finally, it's usually a good idea to wait for all your tasks to complete.
// Moreover, if any of your tasks threw an exception then waiting for the tasks
// will rethrow the exception in the calling context, allowing you to handle it in
// your local thread. Also, if you don't wait for the tasks and there is an
// exception and you allow the thread pool to be destructed your program will be
// terminated. So don't ignore exceptions :)
tp.wait_for_all_tasks();
/* A possible run of this program might produce the following output (the first
column is the time the log message occurred and the value in [] is the thread
id for the thread that generated the log message):
0 INFO [0] main: schedule a few tasks
0 INFO [1] main: task start
0 INFO [0] main: result = 10
200 INFO [2] main: subtask end
200 INFO [1] main: var = 2
200 INFO [0] main: vect[0]: 0
200 INFO [0] main: vect[1]: 1
200 INFO [0] main: vect[2]: 4
200 INFO [0] main: vect[3]: 9
200 INFO [0] main: vect[4]: 16
200 INFO [0] main: vect[5]: 25
200 INFO [0] main: vect[6]: 36
200 INFO [0] main: vect[7]: 49
200 INFO [0] main: vect[8]: 64
200 INFO [0] main: vect[9]: 81
300 INFO [3] main: subtask2 end
300 INFO [1] main: task end
*/
}
catch(std::exception& e)
{
std::cout << e.what() << std::endl;
}
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