template<typename Input, typename Output, typename C> tf::DataPipe class

class to create a stage in a data-parallel pipeline

A data pipe represents a stage of a data-parallel pipeline. A data pipe can be either parallel direction or serial direction (specified by tf::PipeType) and is associated with a callable to invoke by the pipeline scheduler.

You need to use the template function, tf::make_data_pipe, to create a data pipe. The input and output types of a tf::DataPipe should be decayed types (though the library will always decay them for you using std::decay) to allow internal storage to work. The data will be passed by reference to your callable, at which you can take it by copy or reference.

tf::make\_data\_pipe\<int, std::string\>(tf::PipeType::SERIAL, [](int& input) {return std::to\_string(input + 100);});

In addition to the data, you callable can take an additional reference of tf::Pipeflow in the second argument to probe the runtime information for a stage task, such as its line number and token number:

tf::make\_data\_pipe\<int, std::string\>(tf::PipeType::SERIAL, [](int& input, tf::Pipeflow& pf) {printf("token=%lu, line=%lu\n", pf.token(), pf.line());return std::to\_string(input + 100);});

Public types

using callable_t = C callable type of the data pipe using input_t = Input input type of the data pipe using output_t = Output output type of the data pipe

Constructors, destructors, conversion operators

DataPipe() defaulteddefault constructorDataPipe(PipeType d, callable_t&& callable)constructs a data pipe

Public functions

auto type() const -> PipeTypequeries the type of the data pipevoid type(PipeType type)assigns a new type to the data pipe template<typename U> void callable(U&& callable)assigns a new callable to the data pipe

Function documentation

template<typename Input, typename Output, typename C> tf::DataPipe<Input, Output, C>::DataPipe(PipeType d, callable_t&& callable)

constructs a data pipe

You should use the helper function, tf::make_data_pipe, to create a DataPipe object, especially when you need tf::DataPipe to automatically deduct the lambda type.

template<typename Input, typename Output, typename C> PipeType tf::DataPipe<Input, Output, C>::type() const

queries the type of the data pipe

A data pipe can be either parallel (tf::PipeType::PARALLEL) or serial (tf::PipeType::SERIAL).

template<typename Input, typename Output, typename C> template<typename U> void tf::DataPipe<Input, Output, C>::callable(U&& callable)

assigns a new callable to the data pipe

Assigns a new callable to the pipe using universal forwarding.