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src/util/kaldi-thread-test.cc
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// util/kaldi-thread-test.cc // Copyright 2012 Johns Hopkins University (Author: Daniel Povey) // Frantisek Skala // 2017 University of Southern California (Author: Dogan Can) // See ../../COPYING for clarification regarding multiple authors // // 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 // // THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY // KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED // WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE, // MERCHANTABLITY OR NON-INFRINGEMENT. // See the Apache 2 License for the specific language governing permissions and // limitations under the License. #include <algorithm> #include "base/kaldi-common.h" #include "util/kaldi-thread.h" namespace kaldi { // Sums up integers from 0 to max_to_count-1. class MyThreadClass : public MultiThreadable { public: MyThreadClass(int32 max_to_count, int32 *i): max_to_count_(max_to_count), iptr_(i), private_counter_(0) { } // We are defining a copy constructor to ensure that whenever an instance of // this class is copied, the default *copy* constructor for MultiThreadable // is called instead the default constructor for MultiThreadable. MyThreadClass(const MyThreadClass &other): MultiThreadable(other), max_to_count_(other.max_to_count_), iptr_(other.iptr_), private_counter_(0) { } void operator() () { int32 block_size = (max_to_count_+ (num_threads_-1) ) / num_threads_; int32 start = block_size * thread_id_, end = std::min(max_to_count_, start + block_size); for (int32 j = start; j < end; j++) private_counter_ += j; } ~MyThreadClass() { *iptr_ += private_counter_; } private: MyThreadClass() { } // Disallow empty constructor. int32 max_to_count_; int32 *iptr_; int32 private_counter_; }; void TestThreads() { g_num_threads = 8; // run method with temporary threads on 8 threads // Note: uncomment following line for the possibility of simple benchmarking // for(int i=0; i<100000; i++) { int32 max_to_count = 10000, tot = 0; MyThreadClass c(max_to_count, &tot); RunMultiThreaded(c); KALDI_ASSERT(tot == (10000*(10000-1))/2); } g_num_threads = 1; // let's try the same, but with only one thread { int32 max_to_count = 10000, tot = 0; MyThreadClass c(max_to_count, &tot); RunMultiThreaded(c); KALDI_ASSERT(tot == (10000*(10000-1))/2); } } class MyTaskClass { // spins for a while, then outputs a pre-given integer. public: MyTaskClass(int32 i, std::vector<int32> *vec): done_(false), i_(i), vec_(vec) { } void operator() () { int32 spin = 1000000 * Rand() % 100; for (int32 i = 0; i < spin; i++); done_ = true; } ~MyTaskClass() { KALDI_ASSERT(done_); vec_->push_back(i_); } private: bool done_; int32 i_; std::vector<int32> *vec_; }; void TestTaskSequencer() { TaskSequencerConfig config; config.num_threads = 1 + Rand() % 20; if (Rand() % 2 == 1 ) config.num_threads_total = config.num_threads + Rand() % config.num_threads; int32 num_tasks = Rand() % 100; std::vector<int32> task_output; { TaskSequencer<MyTaskClass> sequencer(config); for (int32 i = 0; i < num_tasks; i++) { sequencer.Run(new MyTaskClass(i, &task_output)); } } // and let "sequencer" be destroyed, which waits for the last threads. KALDI_ASSERT(task_output.size() == static_cast<size_t>(num_tasks)); for (int32 i = 0; i < num_tasks; i++) KALDI_ASSERT(task_output[i] == i); } } // end namespace kaldi. int main() { using namespace kaldi; TestThreads(); for (int32 i = 0; i < 10; i++) TestTaskSequencer(); } |