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        <type>cudaFlowGraph</type>
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<para>constructs a cudaFlow </para>
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        </inbodydescription>
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        <name>~cudaFlow</name>
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<para>destroys the cudaFlow and its associated native CUDA graph and executable graph </para>
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        <argsstring>(cudaFlow &amp;&amp;)=default</argsstring>
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          <type><ref refid="classtf_1_1cudaFlow" kindref="compound">cudaFlow</ref> &amp;&amp;</type>
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<para>default move constructor </para>
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        </detaileddescription>
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        <type><ref refid="classtf_1_1cudaFlow" kindref="compound">cudaFlow</ref> &amp;</type>
        <definition>cudaFlow &amp; tf::cudaFlow::operator=</definition>
        <argsstring>(cudaFlow &amp;&amp;)=default</argsstring>
        <name>operator=</name>
        <qualifiedname>tf::cudaFlow::operator=</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaFlow" kindref="compound">cudaFlow</ref> &amp;&amp;</type>
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<para>default move assignment operator </para>
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<para>queries the emptiness of the graph </para>
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        <name>num_tasks</name>
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<para>queries the number of tasks </para>
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<para>clears the cudaFlow object </para>
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        <qualifiedname>tf::cudaFlow::dump</qualifiedname>
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<para>dumps the cudaFlow graph into a DOT format through an output stream </para>
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        <type>void</type>
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        <name>dump_native_graph</name>
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          <declname>os</declname>
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<para>dumps the native CUDA graph into a DOT format through an output stream </para>
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        <detaileddescription>
<para>The native CUDA graph may be different from the upper-level cudaFlow graph when flow capture is involved. </para>
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        <definition>cudaTask tf::cudaFlow::noop</definition>
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<para>creates a no-operation task </para>
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        <detaileddescription>
<para><simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
An empty node performs no operation during execution, but can be used for transitive ordering. For example, a phased execution graph with 2 groups of <computeroutput>n</computeroutput> nodes with a barrier between them can be represented using an empty node and <computeroutput>2*n</computeroutput> dependency edges, rather than no empty node and <computeroutput>n^2</computeroutput> dependency edges. </para>
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        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::host</definition>
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        <param>
          <type>C &amp;&amp;</type>
          <declname>callable</declname>
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<para>creates a host task that runs a callable on the host </para>
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<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>callable type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>callable</parametername>
</parameternamelist>
<parameterdescription>
<para>a callable object with neither arguments nor return (i.e., constructible from <computeroutput>std::function&lt;void()&gt;</computeroutput>)</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A host task can only execute CPU-specific functions and cannot do any CUDA calls (e.g., <computeroutput>cudaMalloc</computeroutput>). </para>
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<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a060e1c96111c2134ce0f896420a42cd0" kindref="member">tf::cudaFlow::host</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132eab9361011891280a44d85b967739cc6a5" kindref="member">tf::cudaTaskType::HOST</ref>. </para>
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        <templateparamlist>
          <param>
            <type>typename F</type>
          </param>
          <param>
            <type>typename...</type>
            <declname>ArgsT</declname>
            <defname>ArgsT</defname>
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        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::kernel</definition>
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        <qualifiedname>tf::cudaFlow::kernel</qualifiedname>
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          <type>dim3</type>
          <declname>g</declname>
        </param>
        <param>
          <type>dim3</type>
          <declname>b</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>s</declname>
        </param>
        <param>
          <type>F</type>
          <declname>f</declname>
        </param>
        <param>
          <type>ArgsT...</type>
          <declname>args</declname>
        </param>
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<para>creates a kernel task </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>F</parametername>
</parameternamelist>
<parameterdescription>
<para>kernel function type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>ArgsT</parametername>
</parameternamelist>
<parameterdescription>
<para>kernel function parameters type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>g</parametername>
</parameternamelist>
<parameterdescription>
<para>configured grid </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>b</parametername>
</parameternamelist>
<parameterdescription>
<para>configured block </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>s</parametername>
</parameternamelist>
<parameterdescription>
<para>configured shared memory size in bytes </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>f</parametername>
</parameternamelist>
<parameterdescription>
<para>kernel function </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>args</parametername>
</parameternamelist>
<parameterdescription>
<para>arguments to forward to the kernel function by copy</para>
</parameterdescription>
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<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle </para>
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</para>
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        <templateparamlist>
          <param>
            <type>typename F</type>
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          <param>
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        <name>kernel</name>
        <qualifiedname>tf::cudaFlow::kernel</qualifiedname>
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          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
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          <declname>g</declname>
        </param>
        <param>
          <type>dim3</type>
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        </param>
        <param>
          <type>size_t</type>
          <declname>shm</declname>
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        <param>
          <type>F</type>
          <declname>f</declname>
        </param>
        <param>
          <type>ArgsT...</type>
          <declname>args</declname>
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        <briefdescription>
<para>updates parameters of a kernel task </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a68f666503d13a7b80fb7399fb2f0c153" kindref="member">tf::cudaFlow::kernel</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132ea35c10219c45ccfb5b07444fd7e17214c" kindref="member">tf::cudaTaskType::KERNEL</ref>. The kernel function name must NOT change. </para>
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        <qualifiedname>tf::cudaFlow::memset</qualifiedname>
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        </param>
        <param>
          <type>int</type>
          <declname>v</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
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<para>creates a memset task that fills untyped data with a byte value </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>dst</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the destination device memory area </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>v</parametername>
</parameternamelist>
<parameterdescription>
<para>value to set for each byte of specified memory </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>count</parametername>
</parameternamelist>
<parameterdescription>
<para>size in bytes to set</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A memset task fills the first <computeroutput>count</computeroutput> bytes of device memory area pointed by <computeroutput>dst</computeroutput> with the byte value <computeroutput>v</computeroutput>. </para>
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        <type>void</type>
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          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
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        <param>
          <type>void *</type>
          <declname>dst</declname>
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        <param>
          <type>int</type>
          <declname>ch</declname>
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        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
        <briefdescription>
<para>updates parameters of a memset task </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a079ca65da35301e5aafd45878a19e9d2" kindref="member">tf::cudaFlow::memset</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132ea41d4dbfd78ceea21abb0ecb03c3cc921" kindref="member">tf::cudaTaskType::MEMSET</ref>. The source/destination memory may have different address values but must be allocated from the same contexts as the original source/destination memory. </para>
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        <inbodydescription>
        </inbodydescription>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1ad37637606f0643f360e9eda1f9a6e559" prot="public" static="no" const="no" explicit="no" inline="yes" virt="non-virtual">
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::memcpy</definition>
        <argsstring>(void *tgt, const void *src, size_t bytes)</argsstring>
        <name>memcpy</name>
        <qualifiedname>tf::cudaFlow::memcpy</qualifiedname>
        <param>
          <type>void *</type>
          <declname>tgt</declname>
        </param>
        <param>
          <type>const void *</type>
          <declname>src</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>bytes</declname>
        </param>
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<para>creates a memcpy task that copies untyped data in bytes </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>tgt</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the target memory block </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>src</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the source memory block </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>bytes</parametername>
</parameternamelist>
<parameterdescription>
<para>bytes to copy</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A memcpy task transfers <computeroutput>bytes</computeroutput> of data from a source location to a target location. Direction can be arbitrary among CPUs and GPUs. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <type>void</type>
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        <argsstring>(cudaTask task, void *tgt, const void *src, size_t bytes)</argsstring>
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        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
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        <param>
          <type>void *</type>
          <declname>tgt</declname>
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          <type>const void *</type>
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        <param>
          <type>size_t</type>
          <declname>bytes</declname>
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<para>updates parameters of a memcpy task </para>
        </briefdescription>
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<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1ad37637606f0643f360e9eda1f9a6e559" kindref="member">tf::cudaFlow::memcpy</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132eac5d10cc70cce96265c445f14e7f5aba4" kindref="member">tf::cudaTaskType::MEMCPY</ref>. The source/destination memory may have different address values but must be allocated from the same contexts as the original source/destination memory. </para>
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        </inbodydescription>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1a40172fac4464f6d805f75921ea3c2a3b" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename T</type>
          </param>
          <param>
            <type>std::enable_if_t&lt; is_pod_v&lt; T &gt; &amp;&amp;(sizeof(T)==1||sizeof(T)==2||sizeof(T)==4), void &gt; *</type>
            <defval>nullptr</defval>
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        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::zero</definition>
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        <name>zero</name>
        <qualifiedname>tf::cudaFlow::zero</qualifiedname>
        <param>
          <type>T *</type>
          <declname>dst</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
        <briefdescription>
<para>creates a memset task that sets a typed memory block to zero </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>T</parametername>
</parameternamelist>
<parameterdescription>
<para>element type (size of <computeroutput>T</computeroutput> must be either 1, 2, or 4) </para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>dst</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the destination device memory area </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>count</parametername>
</parameternamelist>
<parameterdescription>
<para>number of elements</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A zero task zeroes the first <computeroutput>count</computeroutput> elements of type <computeroutput>T</computeroutput> in a device memory area pointed by <computeroutput>dst</computeroutput>. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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          <param>
            <type>typename T</type>
          </param>
          <param>
            <type>std::enable_if_t&lt; is_pod_v&lt; T &gt; &amp;&amp;(sizeof(T)==1||sizeof(T)==2||sizeof(T)==4), void &gt; *</type>
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        <type>void</type>
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        <name>zero</name>
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        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
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        <param>
          <type>T *</type>
          <declname>dst</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
        <briefdescription>
<para>updates parameters of a memset task to a zero task </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a40172fac4464f6d805f75921ea3c2a3b" kindref="member">tf::cudaFlow::zero</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132ea41d4dbfd78ceea21abb0ecb03c3cc921" kindref="member">tf::cudaTaskType::MEMSET</ref>.</para>
<para>The source/destination memory may have different address values but must be allocated from the same contexts as the original source/destination memory. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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        <templateparamlist>
          <param>
            <type>typename T</type>
          </param>
          <param>
            <type>std::enable_if_t&lt; is_pod_v&lt; T &gt; &amp;&amp;(sizeof(T)==1||sizeof(T)==2||sizeof(T)==4), void &gt; *</type>
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        <argsstring>(T *dst, T value, size_t count)</argsstring>
        <name>fill</name>
        <qualifiedname>tf::cudaFlow::fill</qualifiedname>
        <param>
          <type>T *</type>
          <declname>dst</declname>
        </param>
        <param>
          <type>T</type>
          <declname>value</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
        <briefdescription>
<para>creates a memset task that fills a typed memory block with a value </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>T</parametername>
</parameternamelist>
<parameterdescription>
<para>element type (size of <computeroutput>T</computeroutput> must be either 1, 2, or 4)</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>dst</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the destination device memory area </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>value</parametername>
</parameternamelist>
<parameterdescription>
<para>value to fill for each element of type <computeroutput>T</computeroutput> </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>count</parametername>
</parameternamelist>
<parameterdescription>
<para>number of elements</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A fill task fills the first <computeroutput>count</computeroutput> elements of type <computeroutput>T</computeroutput> with <computeroutput>value</computeroutput> in a device memory area pointed by <computeroutput>dst</computeroutput>. The value to fill is interpreted in type <computeroutput>T</computeroutput> rather than byte. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="283" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="723" bodyend="739"/>
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          <param>
            <type>typename T</type>
          </param>
          <param>
            <type>std::enable_if_t&lt; is_pod_v&lt; T &gt; &amp;&amp;(sizeof(T)==1||sizeof(T)==2||sizeof(T)==4), void &gt; *</type>
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        <type>void</type>
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        <argsstring>(cudaTask task, T *dst, T value, size_t count)</argsstring>
        <name>fill</name>
        <qualifiedname>tf::cudaFlow::fill</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>T *</type>
          <declname>dst</declname>
        </param>
        <param>
          <type>T</type>
          <declname>value</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>count</declname>
        </param>
        <briefdescription>
<para>updates parameters of a memset task to a fill task </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a21d4447bc834f4d3e1bb4772c850d090" kindref="member">tf::cudaFlow::fill</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132ea41d4dbfd78ceea21abb0ecb03c3cc921" kindref="member">tf::cudaTaskType::MEMSET</ref>.</para>
<para>The source/destination memory may have different address values but must be allocated from the same contexts as the original source/destination memory. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="298" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="897" bodyend="909"/>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1af03e04771b655f9e629eb4c22e19b19f" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename T</type>
          </param>
          <param>
            <type>std::enable_if_t&lt;!std::is_same_v&lt; T, void &gt;, void &gt; *</type>
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        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::copy</definition>
        <argsstring>(T *tgt, const T *src, size_t num)</argsstring>
        <name>copy</name>
        <qualifiedname>tf::cudaFlow::copy</qualifiedname>
        <param>
          <type>T *</type>
          <declname>tgt</declname>
        </param>
        <param>
          <type>const T *</type>
          <declname>src</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>num</declname>
        </param>
        <briefdescription>
<para>creates a memcopy task that copies typed data </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>T</parametername>
</parameternamelist>
<parameterdescription>
<para>element type (non-void)</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>tgt</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the target memory block </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>src</parametername>
</parameternamelist>
<parameterdescription>
<para>pointer to the source memory block </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>num</parametername>
</parameternamelist>
<parameterdescription>
<para>number of elements to copy</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A copy task transfers <computeroutput>num*sizeof(T)</computeroutput> bytes of data from a source location to a target location. Direction can be arbitrary among CPUs and GPUs. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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          <param>
            <type>typename T</type>
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          <param>
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        <type>void</type>
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        <name>copy</name>
        <qualifiedname>tf::cudaFlow::copy</qualifiedname>
        <param>
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        <param>
          <type>T *</type>
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        <param>
          <type>const T *</type>
          <declname>src</declname>
        </param>
        <param>
          <type>size_t</type>
          <declname>num</declname>
        </param>
        <briefdescription>
<para>updates parameters of a memcpy task to a copy task </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1af03e04771b655f9e629eb4c22e19b19f" kindref="member">tf::cudaFlow::copy</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132eac5d10cc70cce96265c445f14e7f5aba4" kindref="member">tf::cudaTaskType::MEMCPY</ref>. The source/destination memory may have different address values but must be allocated from the same contexts as the original source/destination memory. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="331" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="847" bodyend="859"/>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1ae6810f7de27e5a347331aacfce67bea1" prot="public" static="no" const="no" explicit="no" inline="yes" virt="non-virtual">
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        <qualifiedname>tf::cudaFlow::run</qualifiedname>
        <param>
          <type>cudaStream_t</type>
          <declname>stream</declname>
        </param>
        <briefdescription>
<para>offloads the cudaFlow onto a GPU asynchronously via a stream </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>stream</parametername>
</parameternamelist>
<parameterdescription>
<para>stream for performing this operation</para>
</parameterdescription>
</parameteritem>
</parameterlist>
Offloads the present cudaFlow onto a GPU asynchronously via the given stream.</para>
<para>An offloaded cudaFlow forces the underlying graph to be instantiated. After the instantiation, you should not modify the graph topology but update node parameters. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1acfbee67cff7dc7c6297c20c64f2e015c" prot="public" static="no" const="no" explicit="no" inline="yes" virt="non-virtual">
        <type>cudaGraph_t</type>
        <definition>cudaGraph_t tf::cudaFlow::native_graph</definition>
        <argsstring>()</argsstring>
        <name>native_graph</name>
        <qualifiedname>tf::cudaFlow::native_graph</qualifiedname>
        <briefdescription>
<para>acquires a reference to the underlying CUDA graph </para>
        </briefdescription>
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        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="353" column="17" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="1013" bodyend="1015"/>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1a5bfdaf621ab617ab5f0ca63466570256" prot="public" static="no" const="no" explicit="no" inline="yes" virt="non-virtual">
        <type>cudaGraphExec_t</type>
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        <argsstring>()</argsstring>
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        <qualifiedname>tf::cudaFlow::native_executable</qualifiedname>
        <briefdescription>
<para>acquires a reference to the underlying CUDA graph executable </para>
        </briefdescription>
        <detaileddescription>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="358" column="21" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="1018" bodyend="1020"/>
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      <memberdef kind="function" id="classtf_1_1cudaFlow_1ac2906cb0002fc411a983d100a3d58d62" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
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          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::single_task</definition>
        <argsstring>(C c)</argsstring>
        <name>single_task</name>
        <qualifiedname>tf::cudaFlow::single_task</qualifiedname>
        <param>
          <type>C</type>
          <declname>c</declname>
        </param>
        <briefdescription>
<para>runs a callable with only a single kernel thread </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>callable type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>c</parametername>
</parameternamelist>
<parameterdescription>
<para>callable to run by a single kernel thread</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle </para>
</simplesect>
</para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="374" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="163" bodyend="165"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1add2d364f38c72322d8e36bc0da0b98e4" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::single_task</definition>
        <argsstring>(cudaTask task, C c)</argsstring>
        <name>single_task</name>
        <qualifiedname>tf::cudaFlow::single_task</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>C</type>
          <declname>c</declname>
        </param>
        <briefdescription>
<para>updates a single-threaded kernel task </para>
        </briefdescription>
        <detaileddescription>
<para>This method is similar to <ref refid="classtf_1_1cudaFlow_1ac2906cb0002fc411a983d100a3d58d62" kindref="member">cudaFlow::single_task</ref> but operates on an existing task. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="383" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="169" bodyend="171"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a1a681f6223853b6445dcfdad07e4d0fd" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::for_each</definition>
        <argsstring>(I first, I last, C callable)</argsstring>
        <name>for_each</name>
        <qualifiedname>tf::cudaFlow::for_each</qualifiedname>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>C</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>applies a callable to each dereferenced element of the data array </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>I</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>callable type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>first</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the beginning (inclusive) </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>last</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the end (exclusive) </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>callable</parametername>
</parameternamelist>
<parameterdescription>
<para>a callable object to apply to the dereferenced iterator</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
This method is equivalent to the parallel execution of the following loop on a GPU:</para>
<para><programlisting filename=".cpp"><codeline><highlight class="keywordflow">for</highlight><highlight class="normal">(</highlight><highlight class="keyword">auto</highlight><highlight class="normal"><sp/>itr<sp/>=<sp/>first;<sp/>itr<sp/>!=<sp/>last;<sp/>itr++)<sp/>{</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>callable(*itr);</highlight></codeline>
<codeline><highlight class="normal">}</highlight></codeline>
</programlisting> </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="406" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="195" bodyend="210"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1af9cc7ee16602754929bb9118a9d7f0b2" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::for_each</definition>
        <argsstring>(cudaTask task, I first, I last, C callable)</argsstring>
        <name>for_each</name>
        <qualifiedname>tf::cudaFlow::for_each</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>C</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>updates parameters of a kernel task created from <ref refid="classtf_1_1cudaFlow_1a1a681f6223853b6445dcfdad07e4d0fd" kindref="member">tf::cudaFlow::for_each</ref> </para>
        </briefdescription>
        <detaileddescription>
<para>The type of the iterators and the callable must be the same as the task created from <ref refid="classtf_1_1cudaFlow_1a1a681f6223853b6445dcfdad07e4d0fd" kindref="member">tf::cudaFlow::for_each</ref>. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="416" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="214" bodyend="229"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a34f1ea89e5651faa6e8af522a42556ac" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::for_each_index</definition>
        <argsstring>(I first, I last, I step, C callable)</argsstring>
        <name>for_each_index</name>
        <qualifiedname>tf::cudaFlow::for_each_index</qualifiedname>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>I</type>
          <declname>step</declname>
        </param>
        <param>
          <type>C</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>applies a callable to each index in the range with the step size </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>I</parametername>
</parameternamelist>
<parameterdescription>
<para>index type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>callable type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>first</parametername>
</parameternamelist>
<parameterdescription>
<para>beginning index </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>last</parametername>
</parameternamelist>
<parameterdescription>
<para>last index </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>step</parametername>
</parameternamelist>
<parameterdescription>
<para>step size </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>callable</parametername>
</parameternamelist>
<parameterdescription>
<para>the callable to apply to each element in the data array</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
This method is equivalent to the parallel execution of the following loop on a GPU:</para>
<para><programlisting filename=".cpp"><codeline><highlight class="comment">//<sp/>step<sp/>is<sp/>positive<sp/>[first,<sp/>last)</highlight><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"></highlight><highlight class="keywordflow">for</highlight><highlight class="normal">(</highlight><highlight class="keyword">auto</highlight><highlight class="normal"><sp/>i=first;<sp/>i&lt;last;<sp/>i+=step)<sp/>{</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>callable(i);</highlight></codeline>
<codeline><highlight class="normal">}</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"></highlight><highlight class="comment">//<sp/>step<sp/>is<sp/>negative<sp/>[first,<sp/>last)</highlight><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"></highlight><highlight class="keywordflow">for</highlight><highlight class="normal">(</highlight><highlight class="keyword">auto</highlight><highlight class="normal"><sp/>i=first;<sp/>i&gt;last;<sp/>i+=step)<sp/>{</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>callable(i);</highlight></codeline>
<codeline><highlight class="normal">}</highlight></codeline>
</programlisting> </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="446" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="233" bodyend="248"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a3fa7f8e38b4da1fe0cbcfb265f9349a2" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::for_each_index</definition>
        <argsstring>(cudaTask task, I first, I last, I step, C callable)</argsstring>
        <name>for_each_index</name>
        <qualifiedname>tf::cudaFlow::for_each_index</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>I</type>
          <declname>step</declname>
        </param>
        <param>
          <type>C</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>updates parameters of a kernel task created from <ref refid="classtf_1_1cudaFlow_1a34f1ea89e5651faa6e8af522a42556ac" kindref="member">tf::cudaFlow::for_each_index</ref> </para>
        </briefdescription>
        <detaileddescription>
<para>The type of the iterators and the callable must be the same as the task created from <ref refid="classtf_1_1cudaFlow_1a34f1ea89e5651faa6e8af522a42556ac" kindref="member">tf::cudaFlow::for_each_index</ref>. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="456" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/for_each.hpp" bodystart="252" bodyend="267"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1af89a9bda182272462a0eda2581536cd8" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename O</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::transform</definition>
        <argsstring>(I first, I last, O output, C op)</argsstring>
        <name>transform</name>
        <qualifiedname>tf::cudaFlow::transform</qualifiedname>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>O</type>
          <declname>output</declname>
        </param>
        <param>
          <type>C</type>
          <declname>op</declname>
        </param>
        <briefdescription>
<para>applies a callable to a source range and stores the result in a target range </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>I</parametername>
</parameternamelist>
<parameterdescription>
<para>input iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>O</parametername>
</parameternamelist>
<parameterdescription>
<para>output iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>unary operator type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>first</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the beginning of the input range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>last</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the end of the input range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>output</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the beginning of the output range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>op</parametername>
</parameternamelist>
<parameterdescription>
<para>the operator to apply to transform each element in the range</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
This method is equivalent to the parallel execution of the following loop on a GPU:</para>
<para><programlisting filename=".cpp"><codeline><highlight class="keywordflow">while</highlight><highlight class="normal"><sp/>(first<sp/>!=<sp/>last)<sp/>{</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>*output++<sp/>=<sp/>callable(*first++);</highlight></codeline>
<codeline><highlight class="normal">}</highlight></codeline>
</programlisting> </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="483" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/transform.hpp" bodystart="151" bodyend="167"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a4a211b1f8562e10f9aae8b44fd6acdec" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I</type>
          </param>
          <param>
            <type>typename O</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::transform</definition>
        <argsstring>(cudaTask task, I first, I last, O output, C c)</argsstring>
        <name>transform</name>
        <qualifiedname>tf::cudaFlow::transform</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>I</type>
          <declname>first</declname>
        </param>
        <param>
          <type>I</type>
          <declname>last</declname>
        </param>
        <param>
          <type>O</type>
          <declname>output</declname>
        </param>
        <param>
          <type>C</type>
          <declname>c</declname>
        </param>
        <briefdescription>
<para>updates parameters of a kernel task created from <ref refid="classtf_1_1cudaFlow_1af89a9bda182272462a0eda2581536cd8" kindref="member">tf::cudaFlow::transform</ref> </para>
        </briefdescription>
        <detaileddescription>
<para>The type of the iterators and the callable must be the same as the task created from <ref refid="classtf_1_1cudaFlow_1a1a681f6223853b6445dcfdad07e4d0fd" kindref="member">tf::cudaFlow::for_each</ref>. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="493" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/transform.hpp" bodystart="191" bodyend="207"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1abab2bfdfc86ef3a764ece4743fdede76" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I1</type>
          </param>
          <param>
            <type>typename I2</type>
          </param>
          <param>
            <type>typename O</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::transform</definition>
        <argsstring>(I1 first1, I1 last1, I2 first2, O output, C op)</argsstring>
        <name>transform</name>
        <qualifiedname>tf::cudaFlow::transform</qualifiedname>
        <param>
          <type>I1</type>
          <declname>first1</declname>
        </param>
        <param>
          <type>I1</type>
          <declname>last1</declname>
        </param>
        <param>
          <type>I2</type>
          <declname>first2</declname>
        </param>
        <param>
          <type>O</type>
          <declname>output</declname>
        </param>
        <param>
          <type>C</type>
          <declname>op</declname>
        </param>
        <briefdescription>
<para>creates a task to perform parallel transforms over two ranges of items </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>I1</parametername>
</parameternamelist>
<parameterdescription>
<para>first input iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>I2</parametername>
</parameternamelist>
<parameterdescription>
<para>second input iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>O</parametername>
</parameternamelist>
<parameterdescription>
<para>output iterator type </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>unary operator type</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>first1</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the beginning of the input range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>last1</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the end of the input range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>first2</parametername>
</parameternamelist>
<parameterdescription>
<para>iterato </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>output</parametername>
</parameternamelist>
<parameterdescription>
<para>iterator to the beginning of the output range </para>
</parameterdescription>
</parameteritem>
<parameteritem>
<parameternamelist>
<parametername>op</parametername>
</parameternamelist>
<parameterdescription>
<para>binary operator to apply to transform each pair of items in the two input ranges</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref> handle</para>
</simplesect>
This method is equivalent to the parallel execution of the following loop on a GPU:</para>
<para><programlisting filename=".cpp"><codeline><highlight class="keywordflow">while</highlight><highlight class="normal"><sp/>(first1<sp/>!=<sp/>last1)<sp/>{</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>*output++<sp/>=<sp/>op(*first1++,<sp/>*first2++);</highlight></codeline>
<codeline><highlight class="normal">}</highlight></codeline>
</programlisting> </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="521" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/transform.hpp" bodystart="171" bodyend="187"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a7c6ca7be2b6908e8f71570c54303ba9e" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename I1</type>
          </param>
          <param>
            <type>typename I2</type>
          </param>
          <param>
            <type>typename O</type>
          </param>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::transform</definition>
        <argsstring>(cudaTask task, I1 first1, I1 last1, I2 first2, O output, C c)</argsstring>
        <name>transform</name>
        <qualifiedname>tf::cudaFlow::transform</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>I1</type>
          <declname>first1</declname>
        </param>
        <param>
          <type>I1</type>
          <declname>last1</declname>
        </param>
        <param>
          <type>I2</type>
          <declname>first2</declname>
        </param>
        <param>
          <type>O</type>
          <declname>output</declname>
        </param>
        <param>
          <type>C</type>
          <declname>c</declname>
        </param>
        <briefdescription>
<para>updates parameters of a kernel task created from <ref refid="classtf_1_1cudaFlow_1af89a9bda182272462a0eda2581536cd8" kindref="member">tf::cudaFlow::transform</ref> </para>
        </briefdescription>
        <detaileddescription>
<para>The type of the iterators and the callable must be the same as the task created from <ref refid="classtf_1_1cudaFlow_1a1a681f6223853b6445dcfdad07e4d0fd" kindref="member">tf::cudaFlow::for_each</ref>. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="531" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/algorithm/transform.hpp" bodystart="211" bodyend="228"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1a89c389fff64a16e5dd8c60875d3b514d" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
        <definition>cudaTask tf::cudaFlow::capture</definition>
        <argsstring>(C &amp;&amp;callable)</argsstring>
        <name>capture</name>
        <qualifiedname>tf::cudaFlow::capture</qualifiedname>
        <param>
          <type>C &amp;&amp;</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>constructs a subflow graph through <ref refid="classtf_1_1cudaFlowCapturer" kindref="compound">tf::cudaFlowCapturer</ref> </para>
        </briefdescription>
        <detaileddescription>
<para><parameterlist kind="templateparam"><parameteritem>
<parameternamelist>
<parametername>C</parametername>
</parameternamelist>
<parameterdescription>
<para>callable type constructible from <computeroutput>std::function&lt;void(tf::cudaFlowCapturer&amp;)&gt;</computeroutput> </para>
</parameterdescription>
</parameteritem>
</parameterlist>
<parameterlist kind="param"><parameteritem>
<parameternamelist>
<parametername>callable</parametername>
</parameternamelist>
<parameterdescription>
<para>the callable to construct a capture flow</para>
</parameterdescription>
</parameteritem>
</parameterlist>
<simplesect kind="return"><para>a <ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref> handle</para>
</simplesect>
A captured subflow forms a sub-graph to the cudaFlow and can be used to capture custom (or third-party) kernels that cannot be directly constructed from the cudaFlow.</para>
<para>Example usage:</para>
<para><programlisting filename=".cpp"><codeline><highlight class="normal">taskflow.emplace([&amp;](<ref refid="classtf_1_1cudaFlow" kindref="compound">tf::cudaFlow</ref>&amp;<sp/>cf){</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref><sp/>my_kernel<sp/>=<sp/>cf.<ref refid="classtf_1_1cudaFlow_1a68f666503d13a7b80fb7399fb2f0c153" kindref="member">kernel</ref>(my_arguments);</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/></highlight><highlight class="comment">//<sp/>create<sp/>a<sp/>flow<sp/>capturer<sp/>to<sp/>capture<sp/>custom<sp/>kernels</highlight><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref><sp/>my_subflow<sp/>=<sp/>cf.<ref refid="classtf_1_1cudaFlow_1a89c389fff64a16e5dd8c60875d3b514d" kindref="member">capture</ref>([&amp;](<ref refid="classtf_1_1cudaFlowCapturer" kindref="compound">tf::cudaFlowCapturer</ref>&amp;<sp/>capturer){</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><sp/><sp/>capturer.<ref refid="classtf_1_1cudaFlowCapturer_1ad0d937ae0d77239f148b66a77e35db41" kindref="member">on</ref>([&amp;](cudaStream_t<sp/>stream){</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><sp/><sp/><sp/><sp/>invoke_custom_kernel_with_stream(stream,<sp/>custom_arguments);</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><sp/><sp/>});</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>});</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>my_kernel.<ref refid="classtf_1_1cudaTask_1abdd68287ec4dff4216af34d1db44d1b4" kindref="member">precede</ref>(my_subflow);</highlight></codeline>
<codeline><highlight class="normal">});</highlight></codeline>
</programlisting> </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="572" column="14" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="965" bodyend="997"/>
      </memberdef>
      <memberdef kind="function" id="classtf_1_1cudaFlow_1aa0f182dc0fa99bcc9118311925fddca5" prot="public" static="no" const="no" explicit="no" inline="no" virt="non-virtual">
        <templateparamlist>
          <param>
            <type>typename C</type>
          </param>
        </templateparamlist>
        <type>void</type>
        <definition>void tf::cudaFlow::capture</definition>
        <argsstring>(cudaTask task, C callable)</argsstring>
        <name>capture</name>
        <qualifiedname>tf::cudaFlow::capture</qualifiedname>
        <param>
          <type><ref refid="classtf_1_1cudaTask" kindref="compound">cudaTask</ref></type>
          <declname>task</declname>
        </param>
        <param>
          <type>C</type>
          <declname>callable</declname>
        </param>
        <briefdescription>
<para>updates the captured child graph </para>
        </briefdescription>
        <detaileddescription>
<para>The method is similar to <ref refid="classtf_1_1cudaFlow_1a89c389fff64a16e5dd8c60875d3b514d" kindref="member">tf::cudaFlow::capture</ref> but operates on a task of type <ref refid="namespacetf_1afebc56ae6d5765010d0dd13a5f04132ea46be697979903d784a70aeec45eb14ad" kindref="member">tf::cudaTaskType::SUBFLOW</ref>. The new captured graph must be topologically identical to the original captured graph. </para>
        </detaileddescription>
        <inbodydescription>
        </inbodydescription>
        <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="583" column="10" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="931" bodyend="957"/>
      </memberdef>
      </sectiondef>
    <briefdescription>
<para>class to create a cudaFlow task dependency graph </para>
    </briefdescription>
    <detaileddescription>
<para>A cudaFlow is a high-level interface over CUDA <ref refid="classtf_1_1Graph" kindref="compound">Graph</ref> to perform GPU operations using the task dependency graph model. The class provides a set of methods for creating and launch different tasks on one or multiple CUDA devices, for instance, kernel tasks, data transfer tasks, and memory operation tasks. The following example creates a cudaFlow of two kernel tasks, <computeroutput>task1</computeroutput> and <computeroutput>task2</computeroutput>, where <computeroutput>task1</computeroutput> runs before <computeroutput>task2</computeroutput>.</para>
<para><programlisting filename=".cpp"><codeline><highlight class="normal"><ref refid="classtf_1_1Taskflow" kindref="compound">tf::Taskflow</ref><sp/>taskflow;</highlight></codeline>
<codeline><highlight class="normal"><ref refid="classtf_1_1Executor" kindref="compound">tf::Executor</ref><sp/>executor;</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal">taskflow.<ref refid="classtf_1_1FlowBuilder_1a60d7a666cab71ecfa3010b2efb0d6b57" kindref="member">emplace</ref>([&amp;](<ref refid="classtf_1_1cudaFlow" kindref="compound">tf::cudaFlow</ref>&amp;<sp/>cf){</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/></highlight><highlight class="comment">//<sp/>create<sp/>two<sp/>kernel<sp/>tasks</highlight><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref><sp/>task1<sp/>=<sp/>cf.<ref refid="classtf_1_1cudaFlow_1a68f666503d13a7b80fb7399fb2f0c153" kindref="member">kernel</ref>(grid1,<sp/>block1,<sp/>shm_size1,<sp/>kernel1,<sp/>args1);</highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/><ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref><sp/>task2<sp/>=<sp/>cf.<ref refid="classtf_1_1cudaFlow_1a68f666503d13a7b80fb7399fb2f0c153" kindref="member">kernel</ref>(grid2,<sp/>block2,<sp/>shm_size2,<sp/>kernel2,<sp/>args2);</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/></highlight><highlight class="comment">//<sp/>kernel1<sp/>runs<sp/>before<sp/>kernel2</highlight><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal"><sp/><sp/>task1.<ref refid="classtf_1_1cudaTask_1abdd68287ec4dff4216af34d1db44d1b4" kindref="member">precede</ref>(task2);</highlight></codeline>
<codeline><highlight class="normal">});</highlight></codeline>
<codeline><highlight class="normal"></highlight></codeline>
<codeline><highlight class="normal">executor.<ref refid="classtf_1_1Executor_1a519777f5783981d534e9e53b99712069" kindref="member">run</ref>(taskflow).wait();</highlight></codeline>
</programlisting></para>
<para>A cudaFlow is a task (<ref refid="classtf_1_1Task" kindref="compound">tf::Task</ref>) created from <ref refid="classtf_1_1Taskflow" kindref="compound">tf::Taskflow</ref> and will be run by <emphasis>one</emphasis> worker thread in the executor. That is, the callable that describes a cudaFlow will be executed sequentially. Inside a cudaFlow task, different GPU tasks (<ref refid="classtf_1_1cudaTask" kindref="compound">tf::cudaTask</ref>) may run in parallel scheduled by the CUDA runtime.</para>
<para>Please refer to <ref refid="GPUTaskingcudaFlow" kindref="compound">GPU Tasking (cudaFlow)</ref> for details. </para>
    </detaileddescription>
    <location file="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" line="56" column="1" bodyfile="/Users/twhuang/Code/taskflow/taskflow/cuda/cudaflow.hpp" bodystart="56" bodyend="589"/>
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      <member refid="classtf_1_1cudaFlow_1a8e3255897f01f87dcd9ca506c314a125" prot="private" virt="non-virtual"><scope>tf::cudaFlow</scope><name>_exe</name></member>
      <member refid="classtf_1_1cudaFlow_1a89c389fff64a16e5dd8c60875d3b514d" prot="public" virt="non-virtual"><scope>tf::cudaFlow</scope><name>capture</name></member>
      <member refid="classtf_1_1cudaFlow_1aa0f182dc0fa99bcc9118311925fddca5" prot="public" virt="non-virtual"><scope>tf::cudaFlow</scope><name>capture</name></member>
      <member refid="classtf_1_1cudaFlow_1aad726dfe21e9719d96c65530a56d9951" prot="public" virt="non-virtual"><scope>tf::cudaFlow</scope><name>clear</name></member>
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  </compounddef>
</doxygen>
