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@@ -1139,7 +1139,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="nb">dict</span><span class="p">(</span><span class="n">typestr</span><span class="o">=</span><span class="n">typestr</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="n">strides</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">version</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
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<div class="viewcode-block" id="Tensor.refine_names"><a class="viewcode-back" href="../../named_tensor.html#torch.Tensor.refine_names">[docs]</a> <span class="k">def</span> <span class="nf">refine_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">):</span>
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<span class="k">def</span> <span class="nf">refine_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">):</span>
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<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Refines the dimension names of :attr:`self` according to :attr:`names`.</span>
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<span class="sd"> Refining is a special case of renaming that &quot;lifts&quot; unnamed dimensions.</span>
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<span class="k">if</span> <span class="n">has_torch_function_unary</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">refine_names</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</span><span class="p">,),</span> <span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">)</span>
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<span class="n">names</span> <span class="o">=</span> <span class="n">resolve_ellipsis</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">names</span><span class="p">,</span> <span class="s1">&#39;refine_names&#39;</span><span class="p">)</span>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">refine_names</span><span class="p">(</span><span class="n">names</span><span class="p">)</span></div>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">refine_names</span><span class="p">(</span><span class="n">names</span><span class="p">)</span>
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<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Permutes the dimensions of the :attr:`self` tensor to match the order</span>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">align_to</span><span class="p">(</span><span class="n">names</span><span class="p">)</span>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">align_to</span><span class="p">(</span>
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<span class="k">def</span> <span class="nf">unflatten</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dim</span><span class="p">,</span> <span class="n">sizes</span><span class="p">):</span>
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<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Expands the dimension :attr:`dim` of the :attr:`self` tensor over multiple dimensions</span>
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<span class="sd"> of sizes given by :attr:`sizes`.</span>
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">sizes</span><span class="p">,</span> <span class="n">OrderedDict</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">sizes</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">sizes</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))):</span>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">unflatten</span><span class="p">(</span><span class="n">dim</span><span class="p">,</span> <span class="n">sizes</span><span class="p">,</span> <span class="n">names</span><span class="p">)</span></div>
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<span class="k">return</span> <span class="nb">super</span><span class="p">(</span><span class="n">Tensor</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">unflatten</span><span class="p">(</span><span class="n">dim</span><span class="p">,</span> <span class="n">sizes</span><span class="p">,</span> <span class="n">names</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">rename_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">,</span> <span class="o">**</span><span class="n">rename_map</span><span class="p">):</span>
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<span class="sd">&quot;&quot;&quot;In-place version of :meth:`~Tensor.rename`.&quot;&quot;&quot;</span>
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<span class="c1"># 1) tensor.rename(*names) takes a vararglist of names</span>
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<span class="c1"># C++ is static, making it difficult to implement similar behavior.</span>
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<div class="viewcode-block" id="Tensor.rename"><a class="viewcode-back" href="../../named_tensor.html#torch.Tensor.rename">[docs]</a> <span class="k">def</span> <span class="nf">rename</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">,</span> <span class="o">**</span><span class="n">rename_map</span><span class="p">):</span>
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<span class="k">def</span> <span class="nf">rename</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">,</span> <span class="o">**</span><span class="n">rename_map</span><span class="p">):</span>
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<span class="sd"> There are two main usages:</span>
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<span class="k">return</span> <span class="n">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">rename</span><span class="p">,</span> <span class="p">(</span><span class="bp">self</span><span class="p">,),</span> <span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">,</span> <span class="o">**</span><span class="n">rename_map</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">update_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">names</span><span class="p">,</span> <span class="n">rename_map</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
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