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<span class="k">else</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">rename</span><span class="p">(</span><span class="n">names</span><span class="p">)</span>
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<span class="nd">@property</span>
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<span class="k">def</span> <span class="nf">grad</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="sd">&quot;&quot;&quot;</span>
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<span class="sd"> This attribute is ``None`` by default and becomes a Tensor the first time a call to</span>
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<span class="sd"> :func:`backward` computes gradients for ``self``.</span>
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<span class="sd"> The attribute will then contain the gradients computed and future calls to</span>
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<span class="sd"> :func:`backward` will accumulate (add) gradients into it.</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">grad</span><span class="o">.</span><span class="fm">__get__</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="c1"># type: ignore[attr-defined]</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grad</span>
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<span class="nd">@grad</span><span class="o">.</span><span class="n">setter</span>
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<span class="k">def</span> <span class="nf">grad</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">new_grad</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">grad</span><span class="o">.</span><span class="fm">__set__</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="n">new_grad</span><span class="p">)</span> <span class="c1"># type: ignore[attr-defined]</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">grad</span><span class="o">.</span><span class="fm">__delete__</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="c1"># type: ignore[attr-defined]</span>
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<span class="k">def</span> <span class="nf">__torch_function__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="n">types</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(),</span> <span class="n">kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
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<span class="sd">&quot;&quot;&quot;</span>

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