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<title>tf::DataPipeline class | Taskflow QuickStart</title>
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<h1>
<div class="m-doc-template">template&lt;typename... Ps&gt;</div>
<span class="m-breadcrumb"><a href="namespacetf.html">tf</a>::<wbr/></span>DataPipeline <span class="m-thin">class</span>
</h1>
<p>class to create a data-parallel pipeline scheduling framework</p>
<table class="m-table m-fullwidth m-flat">
<thead>
<tr><th colspan="2">Template parameters</th></tr>
</thead>
<tbody>
<tr>
<td style="width: 1%">Ps</td>
<td>data pipe types</td>
</tr>
</tbody>
</table>
<nav class="m-block m-default">
<h3>Contents</h3>
<ul>
<li>
Reference
<ul>
<li><a href="#pub-types">Public types</a></li>
<li><a href="#typeless-methods">Constructors, destructors, conversion operators</a></li>
<li><a href="#pub-methods">Public functions</a></li>
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<p>Similar to <a href="classtf_1_1Pipeline.html" class="m-doc">tf::<wbr />Pipeline</a>, a <a href="classtf_1_1DataPipeline.html" class="m-doc">tf::<wbr />DataPipeline</a> is a composable graph object for users to create a <em>data-parallel pipeline scheduling framework</em> using a module task in a taskflow. The only difference is that <a href="classtf_1_1DataPipeline.html" class="m-doc">tf::<wbr />DataPipeline</a> provides a data abstraction for users to quickly express dataflow in a pipeline. The following example creates a data-parallel pipeline of three stages that generate dataflow from <code>void</code> to <code>int</code>, <code><a href="http://en.cppreference.com/w/cpp/string/basic_string.html" class="m-doc-external">std::<wbr />string</a></code>, and <code>void</code>.</p><pre class="m-code"><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;taskflow/taskflow.hpp&gt;</span>
<span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;taskflow/algorithm/data_pipeline.hpp&gt;</span>
<span class="kt">int</span><span class="w"> </span><span class="nf">main</span><span class="p">()</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// data flow =&gt; void -&gt; int -&gt; std::string -&gt; void</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">Taskflow</span><span class="w"> </span><span class="n">taskflow</span><span class="p">(</span><span class="s">&quot;pipeline&quot;</span><span class="p">);</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">Executor</span><span class="w"> </span><span class="n">executor</span><span class="p">;</span>
<span class="w"> </span><span class="k">const</span><span class="w"> </span><span class="kt">size_t</span><span class="w"> </span><span class="n">num_lines</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">4</span><span class="p">;</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">DataPipeline</span><span class="w"> </span><span class="n">pl</span><span class="p">(</span><span class="n">num_lines</span><span class="p">,</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">make_data_pipe</span><span class="o">&lt;</span><span class="kt">void</span><span class="p">,</span><span class="w"> </span><span class="kt">int</span><span class="o">&gt;</span><span class="p">(</span><span class="n">tf</span><span class="o">::</span><span class="n">PipeType</span><span class="o">::</span><span class="n">SERIAL</span><span class="p">,</span><span class="w"> </span><span class="p">[</span><span class="o">&amp;</span><span class="p">](</span><span class="n">tf</span><span class="o">::</span><span class="n">Pipeflow</span><span class="o">&amp;</span><span class="w"> </span><span class="n">pf</span><span class="p">)</span><span class="w"> </span><span class="o">-&gt;</span><span class="w"> </span><span class="kt">int</span><span class="p">{</span>
<span class="w"> </span><span class="k">if</span><span class="p">(</span><span class="n">pf</span><span class="p">.</span><span class="n">token</span><span class="p">()</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="mi">5</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">pf</span><span class="p">.</span><span class="n">stop</span><span class="p">();</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="k">else</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">pf</span><span class="p">.</span><span class="n">token</span><span class="p">();</span>
<span class="w"> </span><span class="p">}</span>
<span class="w"> </span><span class="p">}),</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">make_data_pipe</span><span class="o">&lt;</span><span class="kt">int</span><span class="p">,</span><span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">&gt;</span><span class="p">(</span><span class="n">tf</span><span class="o">::</span><span class="n">PipeType</span><span class="o">::</span><span class="n">SERIAL</span><span class="p">,</span><span class="w"> </span><span class="p">[](</span><span class="kt">int</span><span class="o">&amp;</span><span class="w"> </span><span class="n">input</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">to_string</span><span class="p">(</span><span class="n">input</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">100</span><span class="p">);</span>
<span class="w"> </span><span class="p">}),</span>
<span class="w"> </span><span class="n">tf</span><span class="o">::</span><span class="n">make_data_pipe</span><span class="o">&lt;</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="p">,</span><span class="w"> </span><span class="kt">void</span><span class="o">&gt;</span><span class="p">(</span><span class="n">tf</span><span class="o">::</span><span class="n">PipeType</span><span class="o">::</span><span class="n">SERIAL</span><span class="p">,</span><span class="w"> </span><span class="p">[](</span><span class="n">std</span><span class="o">::</span><span class="n">string</span><span class="o">&amp;</span><span class="w"> </span><span class="n">input</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">cout</span><span class="w"> </span><span class="o">&lt;&lt;</span><span class="w"> </span><span class="n">input</span><span class="w"> </span><span class="o">&lt;&lt;</span><span class="w"> </span><span class="n">std</span><span class="o">::</span><span class="n">endl</span><span class="p">;</span>
<span class="w"> </span><span class="p">})</span>
<span class="w"> </span><span class="p">);</span>
<span class="w"> </span><span class="c1">// build the pipeline graph using composition</span>
<span class="w"> </span><span class="n">taskflow</span><span class="p">.</span><span class="n">composed_of</span><span class="p">(</span><span class="n">pl</span><span class="p">).</span><span class="n">name</span><span class="p">(</span><span class="s">&quot;pipeline&quot;</span><span class="p">);</span>
<span class="w"> </span><span class="c1">// dump the pipeline graph structure (with composition)</span>
<span class="w"> </span><span class="n">taskflow</span><span class="p">.</span><span class="n">dump</span><span class="p">(</span><span class="n">std</span><span class="o">::</span><span class="n">cout</span><span class="p">);</span>
<span class="w"> </span><span class="c1">// run the pipeline</span>
<span class="w"> </span><span class="n">executor</span><span class="p">.</span><span class="n">run</span><span class="p">(</span><span class="n">taskflow</span><span class="p">).</span><span class="n">wait</span><span class="p">();</span>
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
<span class="p">}</span></pre><p>The pipeline schedules five tokens over four parallel lines in a circular fashion, as depicted below:</p><pre class="m-console"><span class="go">o -&gt; o -&gt; o</span>
<span class="go">| | |</span>
<span class="go">v v v</span>
<span class="go">o -&gt; o -&gt; o</span>
<span class="go">| | |</span>
<span class="go">v v v</span>
<span class="go">o -&gt; o -&gt; o</span>
<span class="go">| | |</span>
<span class="go">v v v</span>
<span class="go">o -&gt; o -&gt; o</span></pre>
<section id="pub-types">
<h2><a href="#pub-types">Public types</a></h2>
<dl class="m-doc">
<dt id="a4fafcfd61a19628b48042b79e0d3f86e">
using <a href="#a4fafcfd61a19628b48042b79e0d3f86e" class="m-doc-self">data_t</a> = unique_variant_t&lt;std::variant&lt;std::conditional_t&lt;std::is_void_v&lt;typename Ps::output_t&gt;, std::monostate, std::decay_t&lt;typename Ps::output_t&gt;&gt;...&gt;&gt;
</dt>
<dd>internal storage type for each data token (default std::variant)</dd>
</dl>
</section>
<section id="typeless-methods">
<h2><a href="#typeless-methods">Constructors, destructors, conversion operators</a></h2>
<dl class="m-doc">
<dt>
<span class="m-doc-wrap-bumper"><a href="#a1559f218ca91b41d6c871a88183a04e5" class="m-doc">DataPipeline</a>(</span><span class="m-doc-wrap">size_t num_lines,
Ps &amp;&amp; ... ps)</span>
</dt>
<dd>constructs a data-parallel pipeline object</dd>
<dt>
<span class="m-doc-wrap-bumper"><a href="#abe9f09834e32eebf792c330fe825138d" class="m-doc">DataPipeline</a>(</span><span class="m-doc-wrap">size_t num_lines,
<a href="http://en.cppreference.com/w/cpp/utility/tuple.html" class="m-doc-external">std::<wbr />tuple</a>&lt;Ps...&gt;&amp;&amp; ps)</span>
</dt>
<dd>constructs a data-parallel pipeline object</dd>
</dl>
</section>
<section id="pub-methods">
<h2><a href="#pub-methods">Public functions</a></h2>
<dl class="m-doc">
<dt>
<span class="m-doc-wrap-bumper">auto <a href="#aaa74a52dac68155a9b73f5f70d9d14aa" class="m-doc">num_lines</a>(</span><span class="m-doc-wrap">) const -&gt; size_t <span class="m-label m-flat m-success">noexcept</span></span>
</dt>
<dd>queries the number of parallel lines</dd>
<dt>
<span class="m-doc-wrap-bumper">auto <a href="#a8720a404e3811b28e3dd5b98c9047496" class="m-doc">num_pipes</a>(</span><span class="m-doc-wrap">) const -&gt; size_t <span class="m-label m-flat m-primary">constexpr</span> <span class="m-label m-flat m-success">noexcept</span></span>
</dt>
<dd>queries the number of pipes</dd>
<dt>
<span class="m-doc-wrap-bumper">void <a href="#ad6355a117bbc4d3d607fb6f95ffd9889" class="m-doc">reset</a>(</span><span class="m-doc-wrap">)</span>
</dt>
<dd>resets the pipeline</dd>
<dt>
<span class="m-doc-wrap-bumper">auto <a href="#a2c208032313105d142e2c8cec650acfe" class="m-doc">num_tokens</a>(</span><span class="m-doc-wrap">) const -&gt; size_t <span class="m-label m-flat m-success">noexcept</span></span>
</dt>
<dd>queries the number of generated tokens in the pipeline</dd>
<dt>
<span class="m-doc-wrap-bumper">auto <a href="#adfc70da6fdffc4a0a56bd2fe0f0dc07d" class="m-doc">graph</a>(</span><span class="m-doc-wrap">) -&gt; <a href="classtf_1_1Graph.html" class="m-doc">Graph</a>&amp;</span>
</dt>
<dd>obtains the graph object associated with the pipeline construct</dd>
</dl>
</section>
<section>
<h2>Function documentation</h2>
<section class="m-doc-details" id="a1559f218ca91b41d6c871a88183a04e5"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper"> tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#a1559f218ca91b41d6c871a88183a04e5" class="m-doc-self">DataPipeline</a>(</span><span class="m-doc-wrap">size_t num_lines,
Ps &amp;&amp; ... ps)</span></span>
</h3>
<p>constructs a data-parallel pipeline object</p>
<table class="m-table m-fullwidth m-flat">
<thead>
<tr><th colspan="2">Parameters</th></tr>
</thead>
<tbody>
<tr>
<td style="width: 1%">num_lines</td>
<td>the number of parallel lines</td>
</tr>
<tr>
<td>ps</td>
<td>a list of pipes</td>
</tr>
</tbody>
</table>
<p>Constructs a data-parallel pipeline of up to <code>num_lines</code> parallel lines to schedule tokens through the given linear chain of pipes. The first pipe must define a serial direction (<a href="namespacetf.html#abb7a11e41fd457f69e7ff45d4c769564a7b804a28d6154ab8007287532037f1d0" class="m-doc">tf::<wbr />PipeType::<wbr />SERIAL</a>) or an exception will be thrown.</p>
</div></section>
<section class="m-doc-details" id="abe9f09834e32eebf792c330fe825138d"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper"> tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#abe9f09834e32eebf792c330fe825138d" class="m-doc-self">DataPipeline</a>(</span><span class="m-doc-wrap">size_t num_lines,
<a href="http://en.cppreference.com/w/cpp/utility/tuple.html" class="m-doc-external">std::<wbr />tuple</a>&lt;Ps...&gt;&amp;&amp; ps)</span></span>
</h3>
<p>constructs a data-parallel pipeline object</p>
<table class="m-table m-fullwidth m-flat">
<thead>
<tr><th colspan="2">Parameters</th></tr>
</thead>
<tbody>
<tr>
<td style="width: 1%">num_lines</td>
<td>the number of parallel lines</td>
</tr>
<tr>
<td>ps</td>
<td>a tuple of pipes</td>
</tr>
</tbody>
</table>
<p>Constructs a data-parallel pipeline of up to <code>num_lines</code> parallel lines to schedule tokens through the given linear chain of pipes stored in a <a href="http://en.cppreference.com/w/cpp/utility/tuple.html" class="m-doc-external">std::<wbr />tuple</a>. The first pipe must define a serial direction (<a href="namespacetf.html#abb7a11e41fd457f69e7ff45d4c769564a7b804a28d6154ab8007287532037f1d0" class="m-doc">tf::<wbr />PipeType::<wbr />SERIAL</a>) or an exception will be thrown.</p>
</div></section>
<section class="m-doc-details" id="aaa74a52dac68155a9b73f5f70d9d14aa"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper">size_t tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#aaa74a52dac68155a9b73f5f70d9d14aa" class="m-doc-self">num_lines</a>(</span><span class="m-doc-wrap">) const <span class="m-label m-success">noexcept</span></span></span>
</h3>
<p>queries the number of parallel lines</p>
<p>The function returns the number of parallel lines given by the user upon the construction of the pipeline. The number of lines represents the maximum parallelism this pipeline can achieve.</p>
</div></section>
<section class="m-doc-details" id="a8720a404e3811b28e3dd5b98c9047496"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper">size_t tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#a8720a404e3811b28e3dd5b98c9047496" class="m-doc-self">num_pipes</a>(</span><span class="m-doc-wrap">) const <span class="m-label m-primary">constexpr</span> <span class="m-label m-success">noexcept</span></span></span>
</h3>
<p>queries the number of pipes</p>
<p>The Function returns the number of pipes given by the user upon the construction of the pipeline.</p>
</div></section>
<section class="m-doc-details" id="ad6355a117bbc4d3d607fb6f95ffd9889"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper">void tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#ad6355a117bbc4d3d607fb6f95ffd9889" class="m-doc-self">reset</a>(</span><span class="m-doc-wrap">)</span></span>
</h3>
<p>resets the pipeline</p>
<p>Resetting the pipeline to the initial state. After resetting a pipeline, its token identifier will start from zero as if the pipeline was just constructed.</p>
</div></section>
<section class="m-doc-details" id="a2c208032313105d142e2c8cec650acfe"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper">size_t tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#a2c208032313105d142e2c8cec650acfe" class="m-doc-self">num_tokens</a>(</span><span class="m-doc-wrap">) const <span class="m-label m-success">noexcept</span></span></span>
</h3>
<p>queries the number of generated tokens in the pipeline</p>
<p>The number represents the total scheduling tokens that has been generated by the pipeline so far.</p>
</div></section>
<section class="m-doc-details" id="adfc70da6fdffc4a0a56bd2fe0f0dc07d"><div>
<h3>
<div class="m-doc-template">
template&lt;typename... Ps&gt;
</div>
<span class="m-doc-wrap-bumper"><a href="classtf_1_1Graph.html" class="m-doc">Graph</a>&amp; tf::<wbr />DataPipeline&lt;Ps&gt;::<wbr /></span><span class="m-doc-wrap"><span class="m-doc-wrap-bumper"><a href="#adfc70da6fdffc4a0a56bd2fe0f0dc07d" class="m-doc-self">graph</a>(</span><span class="m-doc-wrap">)</span></span>
</h3>
<p>obtains the graph object associated with the pipeline construct</p>
<p>This method is primarily used as an opaque data structure for creating a module task of this pipeline.</p>
</div></section>
</section>
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