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<div class="section" id="named-tensors-operator-coverage">
<span id="name-inference-reference-doc"></span><h1>Named Tensors operator coverage<a class="headerlink" href="#named-tensors-operator-coverage" title="Permalink to this heading">¶</a></h1>
<p>Please read <a class="reference internal" href="named_tensor.html#named-tensors-doc"><span class="std std-ref">Named Tensors</span></a> first for an introduction to named tensors.</p>
<p>This document is a reference for <em>name inference</em>, a process that defines how
named tensors:</p>
<ol class="arabic simple">
<li><p>use names to provide additional automatic runtime correctness checks</p></li>
<li><p>propagate names from input tensors to output tensors</p></li>
</ol>
<p>Below is a list of all operations that are supported with named tensors
and their associated name inference rules.</p>
<p>If you don’t see an operation listed here, but it would help your use case, please
<a class="reference external" href="https://github.com/pytorch/pytorch/issues?q=is%3Aopen+is%3Aissue+label%3A%22module%3A+named+tensor%22">search if an issue has already been filed</a> and if not, <a class="reference external" href="https://github.com/pytorch/pytorch/issues/new/choose">file one</a>.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>The named tensor API is experimental and subject to change.</p>
</div>
<table class="colwidths-given docutils colwidths-auto align-default" id="id1">
<caption><span class="caption-text">Supported Operations</span><a class="headerlink" href="#id1" title="Permalink to this table">¶</a></caption>
<colgroup>
<col style="width: 50%" />
<col style="width: 50%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>API</p></th>
<th class="head"><p>Name inference rule</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.abs.html#torch.Tensor.abs" title="torch.Tensor.abs"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.abs()</span></code></a>, <a class="reference internal" href="generated/torch.abs.html#torch.abs" title="torch.abs"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.abs()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.abs_.html#torch.Tensor.abs_" title="torch.Tensor.abs_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.abs_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.acos.html#torch.Tensor.acos" title="torch.Tensor.acos"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.acos()</span></code></a>, <a class="reference internal" href="generated/torch.acos.html#torch.acos" title="torch.acos"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.acos()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.acos_.html#torch.Tensor.acos_" title="torch.Tensor.acos_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.acos_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.add.html#torch.Tensor.add" title="torch.Tensor.add"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.add()</span></code></a>, <a class="reference internal" href="generated/torch.add.html#torch.add" title="torch.add"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.add()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.add_.html#torch.Tensor.add_" title="torch.Tensor.add_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.add_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.addmm.html#torch.Tensor.addmm" title="torch.Tensor.addmm"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.addmm()</span></code></a>, <a class="reference internal" href="generated/torch.addmm.html#torch.addmm" title="torch.addmm"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.addmm()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.addmm_.html#torch.Tensor.addmm_" title="torch.Tensor.addmm_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.addmm_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.addmv.html#torch.Tensor.addmv" title="torch.Tensor.addmv"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.addmv()</span></code></a>, <a class="reference internal" href="generated/torch.addmv.html#torch.addmv" title="torch.addmv"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.addmv()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.addmv_.html#torch.Tensor.addmv_" title="torch.Tensor.addmv_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.addmv_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="named_tensor.html#torch.Tensor.align_as" title="torch.Tensor.align_as"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.align_as()</span></code></a></p></td>
<td><p>See documentation</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="named_tensor.html#torch.Tensor.align_to" title="torch.Tensor.align_to"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.align_to()</span></code></a></p></td>
<td><p>See documentation</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.all.html#torch.Tensor.all" title="torch.Tensor.all"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.all()</span></code></a>, <a class="reference internal" href="generated/torch.all.html#torch.all" title="torch.all"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.all()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.any.html#torch.Tensor.any" title="torch.Tensor.any"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.any()</span></code></a>, <a class="reference internal" href="generated/torch.any.html#torch.any" title="torch.any"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.any()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.asin.html#torch.Tensor.asin" title="torch.Tensor.asin"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.asin()</span></code></a>, <a class="reference internal" href="generated/torch.asin.html#torch.asin" title="torch.asin"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.asin()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.asin_.html#torch.Tensor.asin_" title="torch.Tensor.asin_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.asin_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.atan.html#torch.Tensor.atan" title="torch.Tensor.atan"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.atan()</span></code></a>, <a class="reference internal" href="generated/torch.atan.html#torch.atan" title="torch.atan"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.atan()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.atan2.html#torch.Tensor.atan2" title="torch.Tensor.atan2"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.atan2()</span></code></a>, <a class="reference internal" href="generated/torch.atan2.html#torch.atan2" title="torch.atan2"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.atan2()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.atan2_.html#torch.Tensor.atan2_" title="torch.Tensor.atan2_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.atan2_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.atan_.html#torch.Tensor.atan_" title="torch.Tensor.atan_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.atan_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.bernoulli.html#torch.Tensor.bernoulli" title="torch.Tensor.bernoulli"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bernoulli()</span></code></a>, <a class="reference internal" href="generated/torch.bernoulli.html#torch.bernoulli" title="torch.bernoulli"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.bernoulli()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.bernoulli_.html#torch.Tensor.bernoulli_" title="torch.Tensor.bernoulli_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bernoulli_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.bfloat16.html#torch.Tensor.bfloat16" title="torch.Tensor.bfloat16"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bfloat16()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.bitwise_not.html#torch.Tensor.bitwise_not" title="torch.Tensor.bitwise_not"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bitwise_not()</span></code></a>, <a class="reference internal" href="generated/torch.bitwise_not.html#torch.bitwise_not" title="torch.bitwise_not"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.bitwise_not()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.bitwise_not_.html#torch.Tensor.bitwise_not_" title="torch.Tensor.bitwise_not_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bitwise_not_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.bmm.html#torch.Tensor.bmm" title="torch.Tensor.bmm"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bmm()</span></code></a>, <a class="reference internal" href="generated/torch.bmm.html#torch.bmm" title="torch.bmm"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.bmm()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.bool.html#torch.Tensor.bool" title="torch.Tensor.bool"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.bool()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.byte.html#torch.Tensor.byte" title="torch.Tensor.byte"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.byte()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.cat.html#torch.cat" title="torch.cat"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cat()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.cauchy_.html#torch.Tensor.cauchy_" title="torch.Tensor.cauchy_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cauchy_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.ceil.html#torch.Tensor.ceil" title="torch.Tensor.ceil"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.ceil()</span></code></a>, <a class="reference internal" href="generated/torch.ceil.html#torch.ceil" title="torch.ceil"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.ceil()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.ceil_.html#torch.Tensor.ceil_" title="torch.Tensor.ceil_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.ceil_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.char.html#torch.Tensor.char" title="torch.Tensor.char"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.char()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.chunk.html#torch.Tensor.chunk" title="torch.Tensor.chunk"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.chunk()</span></code></a>, <a class="reference internal" href="generated/torch.chunk.html#torch.chunk" title="torch.chunk"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.chunk()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.clamp.html#torch.Tensor.clamp" title="torch.Tensor.clamp"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.clamp()</span></code></a>, <a class="reference internal" href="generated/torch.clamp.html#torch.clamp" title="torch.clamp"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.clamp()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.clamp_.html#torch.Tensor.clamp_" title="torch.Tensor.clamp_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.clamp_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.copy_.html#torch.Tensor.copy_" title="torch.Tensor.copy_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.copy_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#out-function-semantics-doc"><span class="std std-ref">out function and in-place variants</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.cos.html#torch.Tensor.cos" title="torch.Tensor.cos"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cos()</span></code></a>, <a class="reference internal" href="generated/torch.cos.html#torch.cos" title="torch.cos"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cos()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.cos_.html#torch.Tensor.cos_" title="torch.Tensor.cos_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cos_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.cosh.html#torch.Tensor.cosh" title="torch.Tensor.cosh"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cosh()</span></code></a>, <a class="reference internal" href="generated/torch.cosh.html#torch.cosh" title="torch.cosh"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cosh()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.cosh_.html#torch.Tensor.cosh_" title="torch.Tensor.cosh_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cosh_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.acosh.html#torch.Tensor.acosh" title="torch.Tensor.acosh"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.acosh()</span></code></a>, <a class="reference internal" href="generated/torch.acosh.html#torch.acosh" title="torch.acosh"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.acosh()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.acosh_.html#torch.Tensor.acosh_" title="torch.Tensor.acosh_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.acosh_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.cpu.html#torch.Tensor.cpu" title="torch.Tensor.cpu"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cpu()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.cuda.html#torch.Tensor.cuda" title="torch.Tensor.cuda"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cuda()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.cumprod.html#torch.Tensor.cumprod" title="torch.Tensor.cumprod"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cumprod()</span></code></a>, <a class="reference internal" href="generated/torch.cumprod.html#torch.cumprod" title="torch.cumprod"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumprod()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.cumsum.html#torch.Tensor.cumsum" title="torch.Tensor.cumsum"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.cumsum()</span></code></a>, <a class="reference internal" href="generated/torch.cumsum.html#torch.cumsum" title="torch.cumsum"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumsum()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.data_ptr.html#torch.Tensor.data_ptr" title="torch.Tensor.data_ptr"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.data_ptr()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.deg2rad.html#torch.Tensor.deg2rad" title="torch.Tensor.deg2rad"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.deg2rad()</span></code></a>, <a class="reference internal" href="generated/torch.deg2rad.html#torch.deg2rad" title="torch.deg2rad"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.deg2rad()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.deg2rad_()</span></code></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.detach.html#torch.Tensor.detach" title="torch.Tensor.detach"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.detach()</span></code></a>, <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.detach()</span></code></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.detach_.html#torch.Tensor.detach_" title="torch.Tensor.detach_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.detach_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.device.html#torch.Tensor.device" title="torch.Tensor.device"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.device</span></code></a>, <a class="reference internal" href="tensor_attributes.html#torch.device" title="torch.device"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.device()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.digamma.html#torch.Tensor.digamma" title="torch.Tensor.digamma"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.digamma()</span></code></a>, <a class="reference internal" href="generated/torch.digamma.html#torch.digamma" title="torch.digamma"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.digamma()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.digamma_.html#torch.Tensor.digamma_" title="torch.Tensor.digamma_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.digamma_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.dim.html#torch.Tensor.dim" title="torch.Tensor.dim"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.dim()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.div.html#torch.Tensor.div" title="torch.Tensor.div"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.div()</span></code></a>, <a class="reference internal" href="generated/torch.div.html#torch.div" title="torch.div"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.div()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.div_.html#torch.Tensor.div_" title="torch.Tensor.div_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.div_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.dot.html#torch.Tensor.dot" title="torch.Tensor.dot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.dot()</span></code></a>, <a class="reference internal" href="generated/torch.dot.html#torch.dot" title="torch.dot"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.dot()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.double.html#torch.Tensor.double" title="torch.Tensor.double"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.double()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.element_size.html#torch.Tensor.element_size" title="torch.Tensor.element_size"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.element_size()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.empty.html#torch.empty" title="torch.empty"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.empty()</span></code></a></p></td>
<td><p><a class="reference internal" href="#factory-doc"><span class="std std-ref">Factory functions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.empty_like.html#torch.empty_like" title="torch.empty_like"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.empty_like()</span></code></a></p></td>
<td><p><a class="reference internal" href="#factory-doc"><span class="std std-ref">Factory functions</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.eq.html#torch.Tensor.eq" title="torch.Tensor.eq"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.eq()</span></code></a>, <a class="reference internal" href="generated/torch.eq.html#torch.eq" title="torch.eq"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.eq()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.erf.html#torch.Tensor.erf" title="torch.Tensor.erf"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erf()</span></code></a>, <a class="reference internal" href="generated/torch.erf.html#torch.erf" title="torch.erf"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.erf()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.erf_.html#torch.Tensor.erf_" title="torch.Tensor.erf_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erf_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.erfc.html#torch.Tensor.erfc" title="torch.Tensor.erfc"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erfc()</span></code></a>, <a class="reference internal" href="generated/torch.erfc.html#torch.erfc" title="torch.erfc"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.erfc()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.erfc_.html#torch.Tensor.erfc_" title="torch.Tensor.erfc_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erfc_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.erfinv.html#torch.Tensor.erfinv" title="torch.Tensor.erfinv"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erfinv()</span></code></a>, <a class="reference internal" href="generated/torch.erfinv.html#torch.erfinv" title="torch.erfinv"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.erfinv()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.erfinv_.html#torch.Tensor.erfinv_" title="torch.Tensor.erfinv_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.erfinv_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.exp.html#torch.Tensor.exp" title="torch.Tensor.exp"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.exp()</span></code></a>, <a class="reference internal" href="generated/torch.exp.html#torch.exp" title="torch.exp"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.exp()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.exp_.html#torch.Tensor.exp_" title="torch.Tensor.exp_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.exp_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.expand.html#torch.Tensor.expand" title="torch.Tensor.expand"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.expand()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.expm1.html#torch.Tensor.expm1" title="torch.Tensor.expm1"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.expm1()</span></code></a>, <a class="reference internal" href="generated/torch.expm1.html#torch.expm1" title="torch.expm1"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.expm1()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.expm1_.html#torch.Tensor.expm1_" title="torch.Tensor.expm1_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.expm1_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.exponential_.html#torch.Tensor.exponential_" title="torch.Tensor.exponential_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.exponential_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.fill_.html#torch.Tensor.fill_" title="torch.Tensor.fill_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.fill_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.flatten.html#torch.Tensor.flatten" title="torch.Tensor.flatten"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.flatten()</span></code></a>, <a class="reference internal" href="generated/torch.flatten.html#torch.flatten" title="torch.flatten"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.flatten()</span></code></a></p></td>
<td><p>See documentation</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.float.html#torch.Tensor.float" title="torch.Tensor.float"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.float()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.floor.html#torch.Tensor.floor" title="torch.Tensor.floor"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.floor()</span></code></a>, <a class="reference internal" href="generated/torch.floor.html#torch.floor" title="torch.floor"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.floor()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.floor_.html#torch.Tensor.floor_" title="torch.Tensor.floor_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.floor_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.frac.html#torch.Tensor.frac" title="torch.Tensor.frac"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.frac()</span></code></a>, <a class="reference internal" href="generated/torch.frac.html#torch.frac" title="torch.frac"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.frac()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.frac_.html#torch.Tensor.frac_" title="torch.Tensor.frac_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.frac_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.ge.html#torch.Tensor.ge" title="torch.Tensor.ge"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.ge()</span></code></a>, <a class="reference internal" href="generated/torch.ge.html#torch.ge" title="torch.ge"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.ge()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.get_device.html#torch.Tensor.get_device" title="torch.Tensor.get_device"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.get_device()</span></code></a>, <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.get_device()</span></code></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.grad.html#torch.Tensor.grad" title="torch.Tensor.grad"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.grad</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.gt.html#torch.Tensor.gt" title="torch.Tensor.gt"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.gt()</span></code></a>, <a class="reference internal" href="generated/torch.gt.html#torch.gt" title="torch.gt"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.gt()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.half.html#torch.Tensor.half" title="torch.Tensor.half"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.half()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.has_names()</span></code></p></td>
<td><p>See documentation</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.index_fill.html#torch.Tensor.index_fill" title="torch.Tensor.index_fill"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.index_fill()</span></code></a>, <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.index_fill()</span></code></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.index_fill_.html#torch.Tensor.index_fill_" title="torch.Tensor.index_fill_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.index_fill_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.int.html#torch.Tensor.int" title="torch.Tensor.int"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.int()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.is_contiguous.html#torch.Tensor.is_contiguous" title="torch.Tensor.is_contiguous"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.is_contiguous()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.is_cuda.html#torch.Tensor.is_cuda" title="torch.Tensor.is_cuda"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.is_cuda</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.is_floating_point.html#torch.Tensor.is_floating_point" title="torch.Tensor.is_floating_point"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.is_floating_point()</span></code></a>, <a class="reference internal" href="generated/torch.is_floating_point.html#torch.is_floating_point" title="torch.is_floating_point"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.is_floating_point()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.is_leaf.html#torch.Tensor.is_leaf" title="torch.Tensor.is_leaf"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.is_leaf</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.is_pinned.html#torch.Tensor.is_pinned" title="torch.Tensor.is_pinned"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.is_pinned()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.is_shared.html#torch.Tensor.is_shared" title="torch.Tensor.is_shared"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.is_shared()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.is_signed.html#torch.Tensor.is_signed" title="torch.Tensor.is_signed"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.is_signed()</span></code></a>, <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.is_signed()</span></code></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.is_sparse.html#torch.Tensor.is_sparse" title="torch.Tensor.is_sparse"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.is_sparse</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.is_sparse_csr.html#torch.Tensor.is_sparse_csr" title="torch.Tensor.is_sparse_csr"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.is_sparse_csr</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.is_tensor.html#torch.is_tensor" title="torch.is_tensor"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.is_tensor()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.item.html#torch.Tensor.item" title="torch.Tensor.item"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.item()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.itemsize.html#torch.Tensor.itemsize" title="torch.Tensor.itemsize"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.itemsize</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.kthvalue.html#torch.Tensor.kthvalue" title="torch.Tensor.kthvalue"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.kthvalue()</span></code></a>, <a class="reference internal" href="generated/torch.kthvalue.html#torch.kthvalue" title="torch.kthvalue"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.kthvalue()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.le.html#torch.Tensor.le" title="torch.Tensor.le"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.le()</span></code></a>, <a class="reference internal" href="generated/torch.le.html#torch.le" title="torch.le"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.le()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.log.html#torch.Tensor.log" title="torch.Tensor.log"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log()</span></code></a>, <a class="reference internal" href="generated/torch.log.html#torch.log" title="torch.log"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.log()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.log10.html#torch.Tensor.log10" title="torch.Tensor.log10"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log10()</span></code></a>, <a class="reference internal" href="generated/torch.log10.html#torch.log10" title="torch.log10"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.log10()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.log10_.html#torch.Tensor.log10_" title="torch.Tensor.log10_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log10_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.log1p.html#torch.Tensor.log1p" title="torch.Tensor.log1p"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log1p()</span></code></a>, <a class="reference internal" href="generated/torch.log1p.html#torch.log1p" title="torch.log1p"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.log1p()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.log1p_.html#torch.Tensor.log1p_" title="torch.Tensor.log1p_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log1p_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.log2.html#torch.Tensor.log2" title="torch.Tensor.log2"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log2()</span></code></a>, <a class="reference internal" href="generated/torch.log2.html#torch.log2" title="torch.log2"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.log2()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.log2_.html#torch.Tensor.log2_" title="torch.Tensor.log2_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log2_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.log_.html#torch.Tensor.log_" title="torch.Tensor.log_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.log_normal_.html#torch.Tensor.log_normal_" title="torch.Tensor.log_normal_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.log_normal_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.logical_not.html#torch.Tensor.logical_not" title="torch.Tensor.logical_not"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.logical_not()</span></code></a>, <a class="reference internal" href="generated/torch.logical_not.html#torch.logical_not" title="torch.logical_not"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.logical_not()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.logical_not_.html#torch.Tensor.logical_not_" title="torch.Tensor.logical_not_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.logical_not_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.logsumexp.html#torch.Tensor.logsumexp" title="torch.Tensor.logsumexp"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.logsumexp()</span></code></a>, <a class="reference internal" href="generated/torch.logsumexp.html#torch.logsumexp" title="torch.logsumexp"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.logsumexp()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.long.html#torch.Tensor.long" title="torch.Tensor.long"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.long()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.lt.html#torch.Tensor.lt" title="torch.Tensor.lt"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.lt()</span></code></a>, <a class="reference internal" href="generated/torch.lt.html#torch.lt" title="torch.lt"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.lt()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.manual_seed.html#torch.manual_seed" title="torch.manual_seed"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.manual_seed()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.masked_fill.html#torch.Tensor.masked_fill" title="torch.Tensor.masked_fill"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.masked_fill()</span></code></a>, <code class="xref py py-func docutils literal notranslate"><span class="pre">torch.masked_fill()</span></code></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.masked_fill_.html#torch.Tensor.masked_fill_" title="torch.Tensor.masked_fill_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.masked_fill_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.masked_select.html#torch.Tensor.masked_select" title="torch.Tensor.masked_select"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.masked_select()</span></code></a>, <a class="reference internal" href="generated/torch.masked_select.html#torch.masked_select" title="torch.masked_select"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.masked_select()</span></code></a></p></td>
<td><p>Aligns mask up to input and then unifies_names_from_input_tensors</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.matmul.html#torch.Tensor.matmul" title="torch.Tensor.matmul"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.matmul()</span></code></a>, <a class="reference internal" href="generated/torch.matmul.html#torch.matmul" title="torch.matmul"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.matmul()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.mean.html#torch.Tensor.mean" title="torch.Tensor.mean"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mean()</span></code></a>, <a class="reference internal" href="generated/torch.mean.html#torch.mean" title="torch.mean"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.mean()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.median.html#torch.Tensor.median" title="torch.Tensor.median"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.median()</span></code></a>, <a class="reference internal" href="generated/torch.median.html#torch.median" title="torch.median"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.median()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.nanmedian.html#torch.Tensor.nanmedian" title="torch.Tensor.nanmedian"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.nanmedian()</span></code></a>, <a class="reference internal" href="generated/torch.nanmedian.html#torch.nanmedian" title="torch.nanmedian"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nanmedian()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.mm.html#torch.Tensor.mm" title="torch.Tensor.mm"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mm()</span></code></a>, <a class="reference internal" href="generated/torch.mm.html#torch.mm" title="torch.mm"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.mm()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.mode.html#torch.Tensor.mode" title="torch.Tensor.mode"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mode()</span></code></a>, <a class="reference internal" href="generated/torch.mode.html#torch.mode" title="torch.mode"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.mode()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.mul.html#torch.Tensor.mul" title="torch.Tensor.mul"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mul()</span></code></a>, <a class="reference internal" href="generated/torch.mul.html#torch.mul" title="torch.mul"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.mul()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.mul_.html#torch.Tensor.mul_" title="torch.Tensor.mul_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mul_()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.mv.html#torch.Tensor.mv" title="torch.Tensor.mv"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.mv()</span></code></a>, <a class="reference internal" href="generated/torch.mv.html#torch.mv" title="torch.mv"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.mv()</span></code></a></p></td>
<td><p><a class="reference internal" href="#contracts-away-dims-doc"><span class="std std-ref">Contracts away dims</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="named_tensor.html#torch.Tensor.names" title="torch.Tensor.names"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.names</span></code></a></p></td>
<td><p>See documentation</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.narrow.html#torch.Tensor.narrow" title="torch.Tensor.narrow"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.narrow()</span></code></a>, <a class="reference internal" href="generated/torch.narrow.html#torch.narrow" title="torch.narrow"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.narrow()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.nbytes.html#torch.Tensor.nbytes" title="torch.Tensor.nbytes"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.nbytes</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.ndim.html#torch.Tensor.ndim" title="torch.Tensor.ndim"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Tensor.ndim</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.ndimension.html#torch.Tensor.ndimension" title="torch.Tensor.ndimension"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.ndimension()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.ne.html#torch.Tensor.ne" title="torch.Tensor.ne"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.ne()</span></code></a>, <a class="reference internal" href="generated/torch.ne.html#torch.ne" title="torch.ne"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.ne()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.neg.html#torch.Tensor.neg" title="torch.Tensor.neg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.neg()</span></code></a>, <a class="reference internal" href="generated/torch.neg.html#torch.neg" title="torch.neg"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.neg()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.neg_.html#torch.Tensor.neg_" title="torch.Tensor.neg_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.neg_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.normal.html#torch.normal" title="torch.normal"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.normal()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.normal_.html#torch.Tensor.normal_" title="torch.Tensor.normal_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.normal_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.numel.html#torch.Tensor.numel" title="torch.Tensor.numel"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.numel()</span></code></a>, <a class="reference internal" href="generated/torch.numel.html#torch.numel" title="torch.numel"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.numel()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.ones.html#torch.ones" title="torch.ones"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.ones()</span></code></a></p></td>
<td><p><a class="reference internal" href="#factory-doc"><span class="std std-ref">Factory functions</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.pow.html#torch.Tensor.pow" title="torch.Tensor.pow"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.pow()</span></code></a>, <a class="reference internal" href="generated/torch.pow.html#torch.pow" title="torch.pow"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.pow()</span></code></a></p></td>
<td><p><a class="reference internal" href="#unifies-names-from-inputs-doc"><span class="std std-ref">Unifies names from inputs</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.pow_.html#torch.Tensor.pow_" title="torch.Tensor.pow_"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.pow_()</span></code></a></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.Tensor.prod.html#torch.Tensor.prod" title="torch.Tensor.prod"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.prod()</span></code></a>, <a class="reference internal" href="generated/torch.prod.html#torch.prod" title="torch.prod"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.prod()</span></code></a></p></td>
<td><p><a class="reference internal" href="#removes-dimensions-doc"><span class="std std-ref">Removes dimensions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.Tensor.rad2deg.html#torch.Tensor.rad2deg" title="torch.Tensor.rad2deg"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.rad2deg()</span></code></a>, <a class="reference internal" href="generated/torch.rad2deg.html#torch.rad2deg" title="torch.rad2deg"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.rad2deg()</span></code></a></p></td>
<td><p><a class="reference internal" href="#keeps-input-names-doc"><span class="std std-ref">Keeps input names</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.rad2deg_()</span></code></p></td>
<td><p>None</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.rand.html#torch.rand" title="torch.rand"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.rand()</span></code></a></p></td>
<td><p><a class="reference internal" href="#factory-doc"><span class="std std-ref">Factory functions</span></a></p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.rand.html#torch.rand" title="torch.rand"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.rand()</span></code></a></p></td>
<td><p><a class="reference internal" href="#factory-doc"><span class="std std-ref">Factory functions</span></a></p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.randn.html#torch.randn" title="torch.randn"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.randn()</span></code></a></p></td>