tf::GuidedPartitioner tf::PartitionerBase< DefaultClosureWrapper > taskflow/algorithm/partitioner.hpp typename C DefaultClosureWrapper constexpr PartitionerType static constexpr PartitionerType tf::GuidedPartitioner< C >::type () type queries the partition type (dynamic) tf::GuidedPartitioner< C >::GuidedPartitioner ()=default GuidedPartitioner default constructor tf::GuidedPartitioner< C >::GuidedPartitioner (size_t sz) GuidedPartitioner size_t sz construct a guided partitioner with the given chunk size tf::GuidedPartitioner< C >::GuidedPartitioner (size_t sz, C &&closure) GuidedPartitioner size_t sz C && closure construct a guided partitioner with the given chunk size and the closure typename F std::enable_if_t< std::is_invocable_r_v< void, F, size_t, size_t >, void > * nullptr void void tf::GuidedPartitioner< C >::loop (size_t N, size_t W, std::atomic< size_t > &next, F &&func) const loop size_t N size_t W std::atomic< size_t > & next F && func typename F std::enable_if_t< std::is_invocable_r_v< bool, F, size_t, size_t >, void > * nullptr void void tf::GuidedPartitioner< C >::loop_until (size_t N, size_t W, std::atomic< size_t > &next, F &&func) const loop_until size_t N size_t W std::atomic< size_t > & next F && func class to construct a guided partitioner for scheduling parallel algorithms C closure wrapper type (default tf::DefaultClosureWrapper) The size of a partition is proportional to the number of unassigned iterations divided by the number of workers, and the size will gradually decrease to the given chunk size. The last partition may be smaller than the chunk size. In addition to partition size, the application can specify a closure wrapper for a guided partitioner. A closure wrapper allows the application to wrapper a partitioned task (i.e., closure) with a custom function object that performs additional tasks. For example: std::atomic<int>count=0; tf::Taskflowtaskflow; taskflow.for_each_index(0,100,1, [](){ printf("%d\n",i); }, tf::GuidedPartitioner(0,[](auto&&closure){ //dosomethingbeforeinvokingthepartitionedtask //... //invokethepartitionedtask closure(); //dosomethingelseafterinvokingthepartitionedtask //... } ); executor.run(taskflow).wait(); tf::IsPartitioner tf::GuidedPartitioner< C > tf::PartitionerBase< DefaultClosureWrapper > tf::IsPartitioner tf::GuidedPartitioner< C > tf::PartitionerBase< DefaultClosureWrapper > tf::GuidedPartitioner_chunk_size tf::GuidedPartitioner_closure_wrapper tf::GuidedPartitionerchunk_size tf::GuidedPartitionerchunk_size tf::GuidedPartitionerclosure_wrapper tf::GuidedPartitionerclosure_wrapper tf::GuidedPartitionerclosure_wrapper_type tf::GuidedPartitionerGuidedPartitioner tf::GuidedPartitionerGuidedPartitioner tf::GuidedPartitionerGuidedPartitioner tf::GuidedPartitionerloop tf::GuidedPartitionerloop_until tf::GuidedPartitionerPartitionerBase tf::GuidedPartitionerPartitionerBase tf::GuidedPartitionerPartitionerBase tf::GuidedPartitionertype