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@@ -438,7 +438,7 @@ <h1>Source code for torch.autograd</h1><div class="highlight"><pre>
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<span class="kn">import</span> <span class="nn">torch</span>
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<span class="kn">import</span> <span class="nn">warnings</span>
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<span class="kn">from</span> <span class="nn">torch.types</span> <span class="kn">import</span> <span class="n">_TensorOrTensors</span>
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<span class="kn">from</span> <span class="nn">torch.types</span> <span class="kn">import</span> <span class="n">_TensorOrTensors</span><span class="p">,</span> <span class="n">_size</span>
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<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">cast</span>
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<span class="kn">from</span> <span class="nn">.variable</span> <span class="kn">import</span> <span class="n">Variable</span>
@@ -455,32 +455,50 @@ <h1>Source code for torch.autograd</h1><div class="highlight"><pre>
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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Variable&#39;</span><span class="p">,</span> <span class="s1">&#39;Function&#39;</span><span class="p">,</span> <span class="s1">&#39;backward&#39;</span><span class="p">,</span> <span class="s1">&#39;grad_mode&#39;</span><span class="p">]</span>
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<span class="n">_OptionalTensor</span> <span class="o">=</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span>
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<span class="n">_ShapeorNestedShape</span> <span class="o">=</span> <span class="n">Union</span><span class="p">[</span><span class="n">_size</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">[</span><span class="n">_size</span><span class="p">],</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span>
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<span class="k">def</span> <span class="nf">_calculate_shape</span><span class="p">(</span><span class="n">output</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">grad</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span>
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<span class="n">is_grads_batched</span><span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">_ShapeorNestedShape</span><span class="p">,</span> <span class="n">_ShapeorNestedShape</span><span class="p">]:</span>
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<span class="c1"># is_same_size ensures that both tensors are either nested or non nested</span>
464+
<span class="k">if</span> <span class="n">output</span><span class="o">.</span><span class="n">is_nested</span><span class="p">:</span>
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<span class="k">if</span> <span class="n">is_grads_batched</span><span class="p">:</span>
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<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Batched grads are not supported with Nested Tensor.&quot;</span><span class="p">)</span>
467+
<span class="n">out_shape</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">_nested_tensor_size</span><span class="p">()</span>
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<span class="n">grad_shape</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">_nested_tensor_size</span><span class="p">()</span>
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<span class="k">return</span> <span class="n">out_shape</span><span class="p">,</span> <span class="n">grad_shape</span>
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<span class="n">reg_out_shape</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">shape</span>
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<span class="n">reg_grad_shape</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">shape</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">is_grads_batched</span> <span class="k">else</span> <span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
474+
<span class="k">return</span> <span class="n">reg_out_shape</span><span class="p">,</span> <span class="n">reg_grad_shape</span>
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<span class="k">def</span> <span class="nf">_make_grads</span><span class="p">(</span><span class="n">outputs</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">],</span> <span class="n">grads</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="n">_OptionalTensor</span><span class="p">],</span>
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<span class="n">is_grads_batched</span><span class="p">:</span> <span class="nb">bool</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">_OptionalTensor</span><span class="p">,</span> <span class="o">...</span><span class="p">]:</span>
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<span class="n">new_grads</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">_OptionalTensor</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="k">for</span> <span class="n">out</span><span class="p">,</span> <span class="n">grad</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">grads</span><span class="p">):</span>
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
464-
<span class="n">grad_shape</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">shape</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">is_grads_batched</span> <span class="k">else</span> <span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
465-
<span class="k">if</span> <span class="ow">not</span> <span class="n">out</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="n">grad_shape</span><span class="p">:</span>
481+
<span class="n">first_grad</span> <span class="o">=</span> <span class="n">grad</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">is_grads_batched</span> <span class="k">else</span> <span class="n">grad</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
482+
<span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">is_same_size</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">first_grad</span><span class="p">):</span>
483+
<span class="n">out_shape</span><span class="p">,</span> <span class="n">grad_shape</span> <span class="o">=</span> <span class="n">_calculate_shape</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">first_grad</span><span class="p">,</span> <span class="n">is_grads_batched</span><span class="p">)</span>
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<span class="k">if</span> <span class="n">is_grads_batched</span><span class="p">:</span>
467485
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;If `is_grads_batched=True`, we interpret the first &quot;</span>
468486
<span class="s2">&quot;dimension of each grad_output as the batch dimension. &quot;</span>
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<span class="s2">&quot;The sizes of the remaining dimensions are expected to match &quot;</span>
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<span class="s2">&quot;the shape of corresponding output, but a mismatch &quot;</span>
471489
<span class="s2">&quot;was detected: grad_output[&quot;</span>
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<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">grad</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot;] has a shape of &quot;</span>
473-
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and output[&quot;</span>
491+
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grad_shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and output[&quot;</span>
474492
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">out</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot;] has a shape of &quot;</span>
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<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;. &quot;</span>
493+
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">out_shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;. &quot;</span>
476494
<span class="s2">&quot;If you only want some tensors in `grad_output` to be considered &quot;</span>
477495
<span class="s2">&quot;batched, consider using vmap.&quot;</span><span class="p">)</span>
478496
<span class="k">else</span><span class="p">:</span>
479497
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Mismatch in shape: grad_output[&quot;</span>
480498
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grads</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">grad</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot;] has a shape of &quot;</span>
481-
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and output[&quot;</span>
499+
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">grad_shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot; and output[&quot;</span>
482500
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">out</span><span class="p">))</span> <span class="o">+</span> <span class="s2">&quot;] has a shape of &quot;</span>
483-
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;.&quot;</span><span class="p">)</span>
501+
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">out_shape</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;.&quot;</span><span class="p">)</span>
484502
<span class="k">if</span> <span class="n">out</span><span class="o">.</span><span class="n">dtype</span><span class="o">.</span><span class="n">is_complex</span> <span class="o">!=</span> <span class="n">grad</span><span class="o">.</span><span class="n">dtype</span><span class="o">.</span><span class="n">is_complex</span><span class="p">:</span>
485503
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;For complex Tensors, both grad_output and output&quot;</span>
486504
<span class="s2">&quot; are required to have the same dtype.&quot;</span>

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