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<div class="section" id="torch-library-api">
<h1>Torch Library API<a class="headerlink" href="#torch-library-api" title="Permalink to this heading">¶</a></h1>
<p>The PyTorch C++ API provides capabilities for extending PyTorch’s core library
of operators with user defined operators and data types. Extensions implemented
using the Torch Library API are made available for use in both the PyTorch eager
API as well as in TorchScript.</p>
<p>For a tutorial style introduction to the library API, check out the
<a class="reference external" href="https://pytorch.org/tutorials/advanced/torch_script_custom_ops.html">Extending TorchScript with Custom C++ Operators</a>
tutorial.</p>
<div class="section" id="macros">
<h2>Macros<a class="headerlink" href="#macros" title="Permalink to this heading">¶</a></h2>
<dl class="cpp macro">
<dt class="sig sig-object cpp" id="c.TORCH_LIBRARY">
<span class="target" id="library_8h_1a0bd5fb09d25dfb58e750d712fc5afb84"></span><span class="sig-name descname"><span class="n"><span class="pre">TORCH_LIBRARY</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">ns</span></span>, <span class="n"><span class="pre">m</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Macro for defining a function that will be run at static initialization time to define a library of operators in the namespace <code class="docutils literal notranslate"><span class="pre">ns</span></code> (must be a valid C++ identifier, no quotes). </p>
<p>Use this macro when you want to define a new set of custom operators that do not already exist in PyTorch.</p>
<p>Example usage:</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">TORCH_LIBRARY</span><span class="p">(</span><span class="n">myops</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// m is a torch::Library; methods on it will define</span>
<span class="w"> </span><span class="c1">// operators in the myops namespace</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"add"</span><span class="p">,</span><span class="w"> </span><span class="n">add_impl</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<p>The <code class="docutils literal notranslate"><span class="pre">m</span></code> argument is bound to a <a class="reference internal" href="#classtorch_1_1_library"><span class="std std-ref">torch::Library</span></a> that is used to register operators. There may only be one <a class="reference internal" href="#library_8h_1a0bd5fb09d25dfb58e750d712fc5afb84"><span class="std std-ref">TORCH_LIBRARY()</span></a> for any given namespace. </p>
</dd></dl>
<dl class="cpp macro">
<dt class="sig sig-object cpp" id="c.TORCH_LIBRARY_IMPL">
<span class="target" id="library_8h_1a800b28569c0f7d0d9732bf8b6342d9f3"></span><span class="sig-name descname"><span class="n"><span class="pre">TORCH_LIBRARY_IMPL</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">ns</span></span>, <span class="n"><span class="pre">k</span></span>, <span class="n"><span class="pre">m</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Macro for defining a function that will be run at static initialization time to define operator overrides for dispatch key <code class="docutils literal notranslate"><span class="pre">k</span></code> (must be an unqualified enum member of c10::DispatchKey) in namespace <code class="docutils literal notranslate"><span class="pre">ns</span></code> (must be a valid C++ identifer, no quotes). </p>
<p>Use this macro when you want to implement a preexisting set of custom operators on a new dispatch key (e.g., you want to provide CUDA implementations of already existing operators). One common usage pattern is to use <a class="reference internal" href="#library_8h_1a0bd5fb09d25dfb58e750d712fc5afb84"><span class="std std-ref">TORCH_LIBRARY()</span></a> to define schema for all new operators you want to define, and then use several <a class="reference internal" href="#library_8h_1a800b28569c0f7d0d9732bf8b6342d9f3"><span class="std std-ref">TORCH_LIBRARY_IMPL()</span></a> blocks to provide implementations of the operator for CPU, CUDA and Autograd.</p>
<p>In some cases, you need to define something that applies to all namespaces, not just one namespace (usually a fallback). In that case, use the reserved namespace _, e.g.,</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">TORCH_LIBRARY_IMPL</span><span class="p">(</span><span class="n">_</span><span class="p">,</span><span class="w"> </span><span class="n">XLA</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">fallback</span><span class="p">(</span><span class="n">xla_fallback</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<p>Example usage:</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">TORCH_LIBRARY_IMPL</span><span class="p">(</span><span class="n">myops</span><span class="p">,</span><span class="w"> </span><span class="n">CPU</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// m is a torch::Library; methods on it will define</span>
<span class="w"> </span><span class="c1">// CPU implementations of operators in the myops namespace.</span>
<span class="w"> </span><span class="c1">// It is NOT valid to call torch::Library::def()</span>
<span class="w"> </span><span class="c1">// in this context.</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">impl</span><span class="p">(</span><span class="s">"add"</span><span class="p">,</span><span class="w"> </span><span class="n">add_cpu_impl</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<p>If <code class="docutils literal notranslate"><span class="pre">add_cpu_impl</span></code> is an overloaded function, use a <code class="docutils literal notranslate"><span class="pre">static_cast</span></code> to specify which overload you want (by providing the full type). </p>
</dd></dl>
</div>
<div class="section" id="classes">
<h2>Classes<a class="headerlink" href="#classes" title="Permalink to this heading">¶</a></h2>
<dl class="cpp class">
<dt class="sig sig-object cpp" id="_CPPv4N5torch7LibraryE">
<span id="_CPPv3N5torch7LibraryE"></span><span id="_CPPv2N5torch7LibraryE"></span><span id="torch::Library"></span><span class="target" id="classtorch_1_1_library"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Library</span></span></span><br /></dt>
<dd><p>This object provides the API for defining operators and providing implementations at dispatch keys. </p>
<p>Typically, a <a class="reference internal" href="#classtorch_1_1_library"><span class="std std-ref">torch::Library</span></a> is not allocated directly; instead it is created by the <a class="reference internal" href="#library_8h_1a0bd5fb09d25dfb58e750d712fc5afb84"><span class="std std-ref">TORCH_LIBRARY()</span></a> or <a class="reference internal" href="#library_8h_1a800b28569c0f7d0d9732bf8b6342d9f3"><span class="std std-ref">TORCH_LIBRARY_IMPL()</span></a> macros.</p>
<p>Most methods on <a class="reference internal" href="#classtorch_1_1_library"><span class="std std-ref">torch::Library</span></a> return a reference to itself, supporting method chaining.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Examples:</span>
<span class="n">TORCH_LIBRARY</span><span class="p">(</span><span class="n">torchvision</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// m is a torch::Library</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"roi_align"</span><span class="p">,</span><span class="w"> </span><span class="p">...);</span>
<span class="w"> </span><span class="p">...</span>
<span class="p">}</span>
<span class="n">TORCH_LIBRARY_IMPL</span><span class="p">(</span><span class="n">aten</span><span class="p">,</span><span class="w"> </span><span class="n">XLA</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// m is a torch::Library</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">impl</span><span class="p">(</span><span class="s">"add"</span><span class="p">,</span><span class="w"> </span><span class="p">...);</span>
<span class="w"> </span><span class="p">...</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-functions">Public Functions</p>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0ENR5torch7Library3defER7LibraryRR6SchemaRKNSt6vectorIN2at3TagEEE17_RegisterOrVerify">
<span id="_CPPv3I0ENR5torch7Library3defERR6SchemaRKNSt6vectorIN2at3TagEEE17_RegisterOrVerify"></span><span id="_CPPv2I0ENR5torch7Library3defERR6SchemaRKNSt6vectorIN2at3TagEEE17_RegisterOrVerify"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Schema</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_library_1a983e5fef5b234ad18cf389ed820e33c0"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">def</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I0ENR5torch7Library3defER7LibraryRR6SchemaRKNSt6vectorIN2at3TagEEE17_RegisterOrVerify" title="torch::Library::def::Schema"><span class="n"><span class="pre">Schema</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_schema</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">at</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tag</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">tags</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><span class="p"><span class="pre">}</span></span>, <a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerifyE" title="torch::_RegisterOrVerify"><span class="n"><span class="pre">_RegisterOrVerify</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">rv</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerifyE" title="torch::_RegisterOrVerify"><span class="n"><span class="pre">_RegisterOrVerify</span></span></a><span class="p"><span class="pre">::</span></span><a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerify8REGISTERE" title="torch::_RegisterOrVerify::REGISTER"><span class="n"><span class="pre">REGISTER</span></span></a><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">&</span></span><br /></dt>
<dd><p>Declare an operator with a schema, but don’t provide any implementations for it. </p>
<p>You’re expected to then provide implementations using the <a class="reference internal" href="#classtorch_1_1_library_1a59330802ab9deaff247d32a22092bdfb"><span class="std std-ref">impl()</span></a> method. All template arguments are inferred.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Example:</span>
<span class="n">TORCH_LIBRARY</span><span class="p">(</span><span class="n">myops</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"add(Tensor self, Tensor other) -> Tensor"</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>raw_schema</strong> – The schema of the operator to be defined. Typically, this is a <code class="docutils literal notranslate"><span class="pre">const</span> <span class="pre">char*</span></code> string literal, but any type accepted by <a class="reference internal" href="#group__torch-schema-overloads_1ga4c64ba9b665cbc07c31c94b469827a6c"><span class="std std-ref">torch::schema()</span></a> is accepted here.</p>
</dd>
</dl>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N5torch7Library17set_python_moduleEPKcPKc">
<span id="_CPPv3N5torch7Library17set_python_moduleEPKcPKc"></span><span id="_CPPv2N5torch7Library17set_python_moduleEPKcPKc"></span><span id="torch::Library::set_python_module__cCP.cCP"></span><span class="target" id="classtorch_1_1_library_1a24d61ded9256fff1d15d79c22166eb6a"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">set_python_module</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">pymodule</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">context</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="s"><span class="pre">""</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Declares that for all operators that are subsequently def’ed, their fake impls may be found in the given Python module (pymodule). </p>
<p>This registers some help text that is used if the fake impl cannot be found.</p>
<p>Args:<ul class="simple">
<li><p>pymodule: the python module</p></li>
<li><p>context: We may include this in the error message. </p></li>
</ul>
</p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N5torch7Library20impl_abstract_pystubEPKcPKc">
<span id="_CPPv3N5torch7Library20impl_abstract_pystubEPKcPKc"></span><span id="_CPPv2N5torch7Library20impl_abstract_pystubEPKcPKc"></span><span id="torch::Library::impl_abstract_pystub__cCP.cCP"></span><span class="target" id="classtorch_1_1_library_1a06ecb7b3d0d82e0f0a5b7857dc70903b"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">impl_abstract_pystub</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">pymodule</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">context</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="s"><span class="pre">""</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Deprecated; use set_python_module instead. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I00ENR5torch7Library3defER7LibraryRR12NameOrSchemaRR4FuncRKNSt6vectorIN2at3TagEEE">
<span id="_CPPv3I00ENR5torch7Library3defERR12NameOrSchemaRR4FuncRKNSt6vectorIN2at3TagEEE"></span><span id="_CPPv2I00ENR5torch7Library3defERR12NameOrSchemaRR4FuncRKNSt6vectorIN2at3TagEEE"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">NameOrSchema</span></span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_library_1ac399b254981eb4fa1d7f9cd335dfb32b"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">def</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I00ENR5torch7Library3defER7LibraryRR12NameOrSchemaRR4FuncRKNSt6vectorIN2at3TagEEE" title="torch::Library::def::NameOrSchema"><span class="n"><span class="pre">NameOrSchema</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_name_or_schema</span></span>, <a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I00ENR5torch7Library3defER7LibraryRR12NameOrSchemaRR4FuncRKNSt6vectorIN2at3TagEEE" title="torch::Library::def::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_f</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">at</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tag</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">tags</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><span class="p"><span class="pre">}</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">&</span></span><br /></dt>
<dd><p>Define an operator for a schema and then register an implementation for it. </p>
<p>This is typically what you would use if you aren’t planning on making use of the dispatcher to structure your operator implementation. It’s roughly equivalent to calling <a class="reference internal" href="#classtorch_1_1_library_1a983e5fef5b234ad18cf389ed820e33c0"><span class="std std-ref">def()</span></a> and then <a class="reference internal" href="#classtorch_1_1_library_1a59330802ab9deaff247d32a22092bdfb"><span class="std std-ref">impl()</span></a>, but if you omit the schema of the operator, we will infer it from the type of your C++ function. All template arguments are inferred.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Example:</span>
<span class="n">TORCH_LIBRARY</span><span class="p">(</span><span class="n">myops</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"add"</span><span class="p">,</span><span class="w"> </span><span class="n">add_fn</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>raw_name_or_schema</strong> – The schema of the operator to be defined, or just the name of the operator if the schema is to be inferred from <code class="docutils literal notranslate"><span class="pre">raw_f</span></code>. Typically a <code class="docutils literal notranslate"><span class="pre">const</span> <span class="pre">char*</span></code> literal. </p></li>
<li><p><strong>raw_f</strong> – The C++ function that implements this operator. Any valid constructor of <a class="reference internal" href="#classtorch_1_1_cpp_function"><span class="std std-ref">torch::CppFunction</span></a> is accepted here; typically you provide a function pointer or lambda.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I00ENR5torch7Library4implER7Library4NameRR4Func17_RegisterOrVerify">
<span id="_CPPv3I00ENR5torch7Library4implE4NameRR4Func17_RegisterOrVerify"></span><span id="_CPPv2I00ENR5torch7Library4implE4NameRR4Func17_RegisterOrVerify"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Name</span></span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_library_1a59330802ab9deaff247d32a22092bdfb"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">impl</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I00ENR5torch7Library4implER7Library4NameRR4Func17_RegisterOrVerify" title="torch::Library::impl::Name"><span class="n"><span class="pre">Name</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">name</span></span>, <a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I00ENR5torch7Library4implER7Library4NameRR4Func17_RegisterOrVerify" title="torch::Library::impl::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_f</span></span>, <a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerifyE" title="torch::_RegisterOrVerify"><span class="n"><span class="pre">_RegisterOrVerify</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">rv</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerifyE" title="torch::_RegisterOrVerify"><span class="n"><span class="pre">_RegisterOrVerify</span></span></a><span class="p"><span class="pre">::</span></span><a class="reference internal" href="api/enum_namespacetorch_1a86b58f71d08ebe107f81fdb87d3cf161.html#_CPPv4N5torch17_RegisterOrVerify8REGISTERE" title="torch::_RegisterOrVerify::REGISTER"><span class="n"><span class="pre">REGISTER</span></span></a><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">&</span></span><br /></dt>
<dd><p>Register an implementation for an operator. </p>
<p>You may register multiple implementations for a single operator at different dispatch keys (see <a class="reference internal" href="#group__torch-dispatch-overloads_1ga91120ca3079a024775f01ea37e7fcbd8"><span class="std std-ref">torch::dispatch()</span></a>). Implementations must have a corresponding declaration (from <a class="reference internal" href="#classtorch_1_1_library_1a983e5fef5b234ad18cf389ed820e33c0"><span class="std std-ref">def()</span></a>), otherwise they are invalid. If you plan to register multiple implementations, DO NOT provide a function implementation when you <a class="reference internal" href="#classtorch_1_1_library_1a983e5fef5b234ad18cf389ed820e33c0"><span class="std std-ref">def()</span></a> the operator.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Example:</span>
<span class="n">TORCH_LIBRARY_IMPL</span><span class="p">(</span><span class="n">myops</span><span class="p">,</span><span class="w"> </span><span class="n">CUDA</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">impl</span><span class="p">(</span><span class="s">"add"</span><span class="p">,</span><span class="w"> </span><span class="n">add_cuda</span><span class="p">);</span>
<span class="p">}</span>
</pre></div>
</div>
</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>name</strong> – The name of the operator to implement. Do NOT provide schema here. </p></li>
<li><p><strong>raw_f</strong> – The C++ function that implements this operator. Any valid constructor of <a class="reference internal" href="#classtorch_1_1_cpp_function"><span class="std std-ref">torch::CppFunction</span></a> is accepted here; typically you provide a function pointer or lambda.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0ENR5torch7Library8fallbackER7LibraryRR4Func">
<span id="_CPPv3I0ENR5torch7Library8fallbackERR4Func"></span><span id="_CPPv2I0ENR5torch7Library8fallbackERR4Func"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_library_1a662da4bc1e19e98ff41d3e483d0865bc"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4N5torch7LibraryE" title="torch::Library"><span class="n"><span class="pre">Library</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="sig-name descname"><span class="n"><span class="pre">fallback</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_library.html#_CPPv4I0ENR5torch7Library8fallbackER7LibraryRR4Func" title="torch::Library::fallback::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_f</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">&</span></span><br /></dt>
<dd><p>Register a fallback implementation for all operators which will be used if there is not a specific implementation for an operator available. </p>
<p>There MUST be a DispatchKey associated with a fallback; e.g., only call this from <a class="reference internal" href="#library_8h_1a800b28569c0f7d0d9732bf8b6342d9f3"><span class="std std-ref">TORCH_LIBRARY_IMPL()</span></a> with namespace <code class="docutils literal notranslate"><span class="pre">_</span></code>.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Example:</span>
<span class="n">TORCH_LIBRARY_IMPL</span><span class="p">(</span><span class="n">_</span><span class="p">,</span><span class="w"> </span><span class="n">AutogradXLA</span><span class="p">,</span><span class="w"> </span><span class="n">m</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="c1">// If there is not a kernel explicitly registered</span>
<span class="w"> </span><span class="c1">// for AutogradXLA, fallthrough to the next</span>
<span class="w"> </span><span class="c1">// available kernel</span>
<span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">fallback</span><span class="p">(</span><span class="n">torch</span><span class="o">::</span><span class="n">CppFunction</span><span class="o">::</span><span class="n">makeFallthrough</span><span class="p">());</span>
<span class="p">}</span>
<span class="c1">// See aten/src/ATen/core/dispatch/backend_fallback_test.cpp</span>
<span class="c1">// for a full example of boxed fallback</span>
</pre></div>
</div>
</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>raw_f</strong> – The function that implements the fallback. Unboxed functions typically do not work as fallback functions, as fallback functions must work for every operator (even though they have varying type signatures). Typical arguments are <a class="reference internal" href="#classtorch_1_1_cpp_function_1a69be67b7ac572937f1786a81905ef2c7"><span class="std std-ref">CppFunction::makeFallthrough()</span></a> or <a class="reference internal" href="#classtorch_1_1_cpp_function_1a6591d6e48059314a6b0789b68c9abe2e"><span class="std std-ref">CppFunction::makeFromBoxedFunction()</span></a></p>
</dd>
</dl>
</dd></dl>
</div>
</dd></dl>
<dl class="cpp class">
<dt class="sig sig-object cpp" id="_CPPv4N5torch11CppFunctionE">
<span id="_CPPv3N5torch11CppFunctionE"></span><span id="_CPPv2N5torch11CppFunctionE"></span><span id="torch::CppFunction"></span><span class="target" id="classtorch_1_1_cpp_function"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CppFunction</span></span></span><br /></dt>
<dd><p>Represents a C++ function that implements an operator. </p>
<p>Most users won’t interact directly with this class, except via error messages: the constructors this function define the set of permissible “function”-like things you can bind via the interface.</p>
<p>This class erases the type of the passed in function, but durably records the type via an inferred schema for the function. </p>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-functions">Public Functions</p>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0EN5torch11CppFunction11CppFunctionEP4FuncNSt11enable_if_tIN3c104guts16is_function_typeI4FuncE5valueENSt9nullptr_tEEE">
<span id="_CPPv3I0EN5torch11CppFunction11CppFunctionEP4FuncNSt11enable_if_tIN3c104guts16is_function_typeI4FuncE5valueENSt9nullptr_tEEE"></span><span id="_CPPv2I0EN5torch11CppFunction11CppFunctionEP4FuncNSt11enable_if_tIN3c104guts16is_function_typeI4FuncE5valueENSt9nullptr_tEEE"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a2d8fc800e4cbe1634abfe61a464ed748"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">explicit</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CppFunction</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionEP4FuncNSt11enable_if_tIN3c104guts16is_function_typeI4FuncE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">f</span></span>, <span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">enable_if_t</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">guts</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">is_function_type</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionEP4FuncNSt11enable_if_tIN3c104guts16is_function_typeI4FuncE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::Func"><span class="n"><span class="pre">Func</span></span></a><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullptr_t</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>This overload accepts function pointers, e.g., <code class="docutils literal notranslate"><span class="pre">CppFunction(&add_impl)</span></code> </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0EN5torch11CppFunction11CppFunctionE7FuncPtrNSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEE">
<span id="_CPPv3I0EN5torch11CppFunction11CppFunctionE7FuncPtrNSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEE"></span><span id="_CPPv2I0EN5torch11CppFunction11CppFunctionE7FuncPtrNSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEE"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">FuncPtr</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a2e4b990ec1d900a80e5b5558593d9f74"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">explicit</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CppFunction</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionE7FuncPtrNSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">f</span></span>, <span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">enable_if_t</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">is_compile_time_function_pointer</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionE7FuncPtrNSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullptr_t</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>This overload accepts compile time function pointers, e.g., <code class="docutils literal notranslate"><span class="pre">CppFunction(TORCH_FN(add_impl))</span></code> </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0EN5torch11CppFunction11CppFunctionERR6LambdaNSt11enable_if_tIN3c104guts10is_functorINSt7decay_tI6LambdaEEE5valueENSt9nullptr_tEEE">
<span id="_CPPv3I0EN5torch11CppFunction11CppFunctionERR6LambdaNSt11enable_if_tIN3c104guts10is_functorINSt7decay_tI6LambdaEEE5valueENSt9nullptr_tEEE"></span><span id="_CPPv2I0EN5torch11CppFunction11CppFunctionERR6LambdaNSt11enable_if_tIN3c104guts10is_functorINSt7decay_tI6LambdaEEE5valueENSt9nullptr_tEEE"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Lambda</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a93095d8f4285805a6984476ef5ccae56"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">explicit</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">CppFunction</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionERR6LambdaNSt11enable_if_tIN3c104guts10is_functorINSt7decay_tI6LambdaEEE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::Lambda"><span class="n"><span class="pre">Lambda</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">f</span></span>, <span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">enable_if_t</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">guts</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">is_functor</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">decay_t</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction11CppFunctionERR6LambdaNSt11enable_if_tIN3c104guts10is_functorINSt7decay_tI6LambdaEEE5valueENSt9nullptr_tEEE" title="torch::CppFunction::CppFunction::Lambda"><span class="n"><span class="pre">Lambda</span></span></a><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullptr_t</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>This overload accepts lambdas, e.g., <code class="docutils literal notranslate"><a class="reference internal" href="#classtorch_1_1_cpp_function"><span class="std std-ref"><span class="pre">CppFunction</span></span></a><span class="pre">([](const</span> <span class="pre">Tensor&</span> <span class="pre">self)</span> <span class="pre">{</span> <span class="pre">...</span> </code></p>
<p>}) </p>
</dd></dl>
</div>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-static-functions">Public Static Functions</p>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N5torch11CppFunction15makeFallthroughEv">
<span id="_CPPv3N5torch11CppFunction15makeFallthroughEv"></span><span id="_CPPv2N5torch11CppFunction15makeFallthroughEv"></span><span id="torch::CppFunction::makeFallthrough"></span><span class="target" id="classtorch_1_1_cpp_function_1a69be67b7ac572937f1786a81905ef2c7"></span><span class="k"><span class="pre">static</span></span><span class="w"> </span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4N5torch11CppFunctionE" title="torch::CppFunction"><span class="n"><span class="pre">CppFunction</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">makeFallthrough</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><br /></dt>
<dd><p>This creates a fallthrough function. </p>
<p>Fallthrough functions immediately redispatch to the next available dispatch key, but are implemented more efficiently than a hand written function done in the same way. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I_PN3c1011BoxedKernel19BoxedKernelFunctionEEN5torch11CppFunction21makeFromBoxedFunctionE11CppFunctionv">
<span id="_CPPv3I_PN3c1011BoxedKernel19BoxedKernelFunctionEEN5torch11CppFunction21makeFromBoxedFunctionEv"></span><span id="_CPPv2I_PN3c1011BoxedKernel19BoxedKernelFunctionEEN5torch11CppFunction21makeFromBoxedFunctionEv"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">BoxedKernel</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">BoxedKernelFunction</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="sig-name descname"><span class="n"><span class="pre">func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a6591d6e48059314a6b0789b68c9abe2e"></span><span class="k"><span class="pre">static</span></span><span class="w"> </span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4N5torch11CppFunctionE" title="torch::CppFunction"><span class="n"><span class="pre">CppFunction</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">makeFromBoxedFunction</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><br /></dt>
<dd><p>Create a function from a boxed kernel function with signature <code class="docutils literal notranslate"><span class="pre">void(const</span> <span class="pre">OperatorHandle&,</span> <span class="pre">Stack*)</span></code>; i.e., they receive a stack of arguments in a boxed calling convention, rather than in the native C++ calling convention. </p>
<p>Boxed functions are typically only used to register backend fallbacks via <a class="reference internal" href="#classtorch_1_1_library_1a662da4bc1e19e98ff41d3e483d0865bc"><span class="std std-ref">torch::Library::fallback()</span></a>. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0EN5torch11CppFunction20makeFromBoxedFunctorE11CppFunctionNSt10unique_ptrI13KernelFunctorEE">
<span id="_CPPv3I0EN5torch11CppFunction20makeFromBoxedFunctorENSt10unique_ptrI13KernelFunctorEE"></span><span id="_CPPv2I0EN5torch11CppFunction20makeFromBoxedFunctorENSt10unique_ptrI13KernelFunctorEE"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">KernelFunctor</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a5a49c17224c86b300a918ef75d70f51b"></span><span class="k"><span class="pre">static</span></span><span class="w"> </span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4N5torch11CppFunctionE" title="torch::CppFunction"><span class="n"><span class="pre">CppFunction</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">makeFromBoxedFunctor</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">unique_ptr</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0EN5torch11CppFunction20makeFromBoxedFunctorE11CppFunctionNSt10unique_ptrI13KernelFunctorEE" title="torch::CppFunction::makeFromBoxedFunctor::KernelFunctor"><span class="n"><span class="pre">KernelFunctor</span></span></a><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="n sig-param"><span class="pre">kernelFunctor</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Create a function from a boxed kernel functor which defines <code class="docutils literal notranslate"><span class="pre">operator()(const</span> <span class="pre">OperatorHandle&,</span> <span class="pre">DispatchKeySet,</span> <span class="pre">Stack*)</span></code> (receiving arguments from boxed calling convention) and inherits from <code class="docutils literal notranslate"><span class="pre">c10::OperatorKernel</span></code>. </p>
<p>Unlike makeFromBoxedFunction, functions registered in this way can also carry additional state which is managed by the functor; this is useful if you’re writing an adapter to some other implementation, e.g., a Python callable, which is dynamically associated with the registered kernel. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0_NSt11enable_if_tIN3c104guts16is_function_typeI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunctionP7FuncPtr">
<span id="_CPPv3I0_NSt11enable_if_tIN3c104guts16is_function_typeI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionEP7FuncPtr"></span><span id="_CPPv2I0_NSt11enable_if_tIN3c104guts16is_function_typeI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionEP7FuncPtr"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">FuncPtr</span></span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">enable_if_t</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">guts</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">is_function_type</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0_NSt11enable_if_tIN3c104guts16is_function_typeI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunctionP7FuncPtr" title="torch::CppFunction::makeFromUnboxedFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullptr_t</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1aba8dfeff023d6bd13d0fa3f72cb7e648"></span><span class="k"><span class="pre">static</span></span><span class="w"> </span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4N5torch11CppFunctionE" title="torch::CppFunction"><span class="n"><span class="pre">CppFunction</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">makeFromUnboxedFunction</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0_NSt11enable_if_tIN3c104guts16is_function_typeI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunctionP7FuncPtr" title="torch::CppFunction::makeFromUnboxedFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">f</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Create a function from an unboxed kernel function. </p>
<p>This is typically used to register common operators. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0_NSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunction7FuncPtr">
<span id="_CPPv3I0_NSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE7FuncPtr"></span><span id="_CPPv2I0_NSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE7FuncPtr"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">FuncPtr</span></span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">enable_if_t</span></span><span class="p"><span class="pre"><</span></span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">is_compile_time_function_pointer</span></span><span class="p"><span class="pre"><</span></span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0_NSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunction7FuncPtr" title="torch::CppFunction::makeFromUnboxedFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="p"><span class="pre">></span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">value</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullptr_t</span></span><span class="p"><span class="pre">></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="classtorch_1_1_cpp_function_1a8432c854c1e080e0a904a1e4e7e93d11"></span><span class="k"><span class="pre">static</span></span><span class="w"> </span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4N5torch11CppFunctionE" title="torch::CppFunction"><span class="n"><span class="pre">CppFunction</span></span></a><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">makeFromUnboxedFunction</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="api/classtorch_1_1_cpp_function.html#_CPPv4I0_NSt11enable_if_tIN3c1032is_compile_time_function_pointerI7FuncPtrE5valueENSt9nullptr_tEEEEN5torch11CppFunction23makeFromUnboxedFunctionE11CppFunction7FuncPtr" title="torch::CppFunction::makeFromUnboxedFunction::FuncPtr"><span class="n"><span class="pre">FuncPtr</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">f</span></span><span class="sig-paren">)</span><br /></dt>
<dd><p>Create a function from a compile time unboxed kernel function pointer. </p>
<p>This is typically used to register common operators. Compile time function pointers can be used to allow the compiler to optimize (e.g. inline) calls to it. </p>
</dd></dl>
</div>
</dd></dl>
</div>
<div class="section" id="functions">
<h2>Functions<a class="headerlink" href="#functions" title="Permalink to this heading">¶</a></h2>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0E8dispatch11CppFunctionN3c1011DispatchKeyERR4Func">
<span id="_CPPv3I0E8dispatchN3c1011DispatchKeyERR4Func"></span><span id="_CPPv2I0E8dispatchN3c1011DispatchKeyERR4Func"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="group__torch-dispatch-overloads_1ga91120ca3079a024775f01ea37e7fcbd8"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="n"><span class="pre">CppFunction</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">dispatch</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">DispatchKey</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">k</span></span>, <a class="reference internal" href="#_CPPv4I0E8dispatch11CppFunctionN3c1011DispatchKeyERR4Func" title="dispatch::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_f</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4I0E8dispatch11CppFunctionN3c1011DispatchKeyERR4Func" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Create a <a class="reference internal" href="#classtorch_1_1_cpp_function"><span class="std std-ref">torch::CppFunction</span></a> which is associated with a specific dispatch key. </p>
<p>torch::CppFunctions that are tagged with a c10::DispatchKey don’t get invoked unless the dispatcher determines that this particular c10::DispatchKey is the one that should be dispatched to.</p>
<p>This function is generally not used directly, instead, prefer using <a class="reference internal" href="#library_8h_1a800b28569c0f7d0d9732bf8b6342d9f3"><span class="std std-ref">TORCH_LIBRARY_IMPL()</span></a>, which will implicitly set the c10::DispatchKey for all registration calls inside of its body. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4I0E8dispatch11CppFunctionN3c1010DeviceTypeERR4Func">
<span id="_CPPv3I0E8dispatchN3c1010DeviceTypeERR4Func"></span><span id="_CPPv2I0E8dispatchN3c1010DeviceTypeERR4Func"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre"><</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Func</span></span></span><span class="p"><span class="pre">></span></span><br /><span class="target" id="group__torch-dispatch-overloads_1ga2037ceb48b4bcf8a09f3f2def4e1b545"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="n"><span class="pre">CppFunction</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">dispatch</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="api/enum_namespacec10_1a815bc73d9ef8591e4a92a70311b71697.html#_CPPv4N3c1010DeviceTypeE" title="c10::DeviceType"><span class="n"><span class="pre">DeviceType</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">type</span></span>, <a class="reference internal" href="#_CPPv4I0E8dispatch11CppFunctionN3c1010DeviceTypeERR4Func" title="dispatch::Func"><span class="n"><span class="pre">Func</span></span></a><span class="w"> </span><span class="p"><span class="pre">&</span></span><span class="p"><span class="pre">&</span></span><span class="n sig-param"><span class="pre">raw_f</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4I0E8dispatch11CppFunctionN3c1010DeviceTypeERR4Func" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Convenience overload of <a class="reference internal" href="#group__torch-dispatch-overloads_1ga91120ca3079a024775f01ea37e7fcbd8"><span class="std std-ref">dispatch()</span></a> which accepts <a class="reference internal" href="api/enum_namespacec10_1a815bc73d9ef8591e4a92a70311b71697.html#namespacec10_1a815bc73d9ef8591e4a92a70311b71697"><span class="std std-ref">c10::DeviceType</span></a>. </p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv46schemaPKcN3c1017AliasAnalysisKindEb">
<span id="_CPPv36schemaPKcN3c1017AliasAnalysisKindEb"></span><span id="_CPPv26schemaPKcN3c1017AliasAnalysisKindEb"></span><span id="schema__cCP.c10::AliasAnalysisKind.b"></span><span class="target" id="group__torch-schema-overloads_1ga4c64ba9b665cbc07c31c94b469827a6c"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">FunctionSchema</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">schema</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">str</span></span>, <span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">AliasAnalysisKind</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">k</span></span>, <span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">allow_typevars</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv46schemaPKcN3c1017AliasAnalysisKindEb" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a c10::FunctionSchema from a string, with an explicitly specified c10::AliasAnalysisKind. </p>
<p>Ordinarily, schemas are simply passed in as strings, but if you need to specify a custom alias analysis, you can replace the string with a call to this function.</p>
<p><div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Default alias analysis (FROM_SCHEMA)</span>
<span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="s">"def3(Tensor self) -> Tensor"</span><span class="p">);</span>
<span class="c1">// Pure function alias analysis</span>
<span class="n">m</span><span class="p">.</span><span class="n">def</span><span class="p">(</span><span class="n">torch</span><span class="o">::</span><span class="n">schema</span><span class="p">(</span><span class="s">"def3(Tensor self) -> Tensor"</span><span class="p">,</span>
<span class="n">c10</span><span class="o">::</span><span class="n">AliasAnalysisKind</span><span class="o">::</span><span class="n">PURE_FUNCTION</span><span class="p">));</span>
</pre></div>
</div>
</p>
</dd></dl>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv46schemaPKcb">
<span id="_CPPv36schemaPKcb"></span><span id="_CPPv26schemaPKcb"></span><span id="schema__cCP.b"></span><span class="target" id="group__torch-schema-overloads_1ga5f4f77472f06677ffe52db6602d1dfd0"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">FunctionSchema</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">schema</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">s</span></span>, <span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">allow_typevars</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">false</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv46schemaPKcb" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Function schemas can be directly constructed from string literals. </p>
</dd></dl>
</div>
</div>
</article>
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