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‎docs/2.2/amp.html

+2-2
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@@ -630,7 +630,7 @@ <h1>Automatic Mixed Precision package - torch.amp<a class="headerlink" href="#au
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<p><code class="docutils literal notranslate"><span class="pre">autocast(enabled=False)</span></code> subregions can be nested in autocast-enabled regions.
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Locally disabling autocast can be useful, for example, if you want to force a subregion
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to run in a particular <code class="docutils literal notranslate"><span class="pre">dtype</span></code>. Disabling autocast gives you explicit control over
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the execution type. In the subregion, inputs from the surrounding region
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the execution type. In the subregion, inputs from the surrounding region
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should be cast to <code class="docutils literal notranslate"><span class="pre">dtype</span></code> before use:</p>
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<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Creates some tensors in default dtype (here assumed to be float32)</span>
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<span class="n">a_float32</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">((</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span> <span class="n">device</span><span class="o">=</span><span class="s2">&quot;cuda&quot;</span><span class="p">)</span>
@@ -1734,4 +1734,4 @@ <h2>Resources</h2>
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})
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</script>
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</body>
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</html>
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</html>

‎docs/2.3/_images/RReLU.png

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‎docs/2.3/_modules/torch/distributed/device_mesh.html

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‎docs/2.3/_modules/torch/fx/node.html

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@@ -508,12 +508,15 @@ <h1>Source code for torch.fx.node</h1><div class="highlight"><pre>
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<span class="n">torch</span><span class="o">.</span><span class="n">amp</span><span class="o">.</span><span class="n">_exit_autocast</span><span class="p">,</span>
509509
<span class="p">}</span>
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<span class="c1"># TODO: Either refactor this into 2 functions 1 dce for functional graphs and 1 dce for all graphs,</span>
512+
<span class="c1"># or add logic to correctly mark all inplace ops as side effectful.</span>
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<span class="n">_side_effectful_functions</span><span class="p">:</span> <span class="n">Set</span><span class="p">[</span><span class="n">Callable</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
512514
<span class="n">torch</span><span class="o">.</span><span class="n">_assert</span><span class="p">,</span>
513515
<span class="n">torch</span><span class="o">.</span><span class="n">_assert_async</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">_assert_async</span><span class="o">.</span><span class="n">msg</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">_assert_scalar</span><span class="o">.</span><span class="n">default</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">copy_</span><span class="o">.</span><span class="n">default</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">index_put_</span><span class="o">.</span><span class="n">default</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">sym_constrain_range</span><span class="o">.</span><span class="n">default</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">aten</span><span class="o">.</span><span class="n">sym_constrain_range_for_size</span><span class="o">.</span><span class="n">default</span><span class="p">,</span>
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<span class="n">_ops</span><span class="o">.</span><span class="n">profiler</span><span class="o">.</span><span class="n">_record_function_enter</span><span class="p">,</span>

‎docs/2.3/_modules/torch/nested.html

+2-5
Original file line numberDiff line numberDiff line change
@@ -639,11 +639,8 @@ <h1>Source code for torch.nested</h1><div class="highlight"><pre>
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<span class="n">requires_grad</span><span class="o">=</span><span class="n">requires_grad</span><span class="p">,</span>
640640
<span class="n">pin_memory</span><span class="o">=</span><span class="n">pin_memory</span><span class="p">)</span>
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<span class="k">elif</span> <span class="n">layout</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">jagged</span><span class="p">:</span>
642-
<span class="c1"># Need to:</span>
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<span class="c1"># * Detach tensors to discard autograd history</span>
644-
<span class="c1"># * Wrap lists of scalars as tensors</span>
645-
<span class="n">list_of_tensors</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">)</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
646-
<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">tensor_list</span><span class="p">]</span>
642+
<span class="c1"># Need to wrap lists of scalars as tensors</span>
643+
<span class="n">list_of_tensors</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">)</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">as_tensor</span><span class="p">(</span><span class="n">t</span><span class="p">)</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">tensor_list</span><span class="p">]</span>
647644

648645
<span class="kn">from</span> <span class="nn">torch.nested._internal.nested_tensor</span> <span class="kn">import</span> <span class="n">jagged_from_list</span>
649646

‎docs/2.3/_modules/torch/nn/modules/module.html

+7-2
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@@ -482,6 +482,7 @@ <h1>Source code for torch.nn.modules.module</h1><div class="highlight"><pre>
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<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Iterator</span><span class="p">,</span> <span class="n">Set</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">overload</span><span class="p">,</span> <span class="n">TypeVar</span><span class="p">,</span> <span class="n">Mapping</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span>
483483
<span class="kn">from</span> <span class="nn">typing_extensions</span> <span class="kn">import</span> <span class="n">Self</span>
484484
<span class="kn">from</span> <span class="nn">...utils.hooks</span> <span class="kn">import</span> <span class="n">RemovableHandle</span>
485+
<span class="kn">from</span> <span class="nn">torch.utils._python_dispatch</span> <span class="kn">import</span> <span class="n">is_traceable_wrapper_subclass</span>
485486

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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;register_module_forward_pre_hook&#39;</span><span class="p">,</span> <span class="s1">&#39;register_module_forward_hook&#39;</span><span class="p">,</span>
487488
<span class="s1">&#39;register_module_full_backward_pre_hook&#39;</span><span class="p">,</span> <span class="s1">&#39;register_module_backward_hook&#39;</span><span class="p">,</span>
@@ -1271,8 +1272,12 @@ <h1>Source code for torch.nn.modules.module</h1><div class="highlight"><pre>
12711272
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
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<span class="n">param_applied</span> <span class="o">=</span> <span class="n">fn</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
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<span class="n">p_should_use_set_data</span> <span class="o">=</span> <span class="n">compute_should_use_set_data</span><span class="p">(</span><span class="n">param</span><span class="p">,</span> <span class="n">param_applied</span><span class="p">)</span>
1275+
1276+
<span class="c1"># subclasses may have multiple child tensors so we need to use swap_tensors</span>
1277+
<span class="n">p_should_use_swap_tensors</span> <span class="o">=</span> <span class="n">should_use_swap_tensors</span> <span class="ow">or</span> <span class="n">is_traceable_wrapper_subclass</span><span class="p">(</span><span class="n">param_applied</span><span class="p">)</span>
1278+
12741279
<span class="n">param_grad</span> <span class="o">=</span> <span class="n">param</span><span class="o">.</span><span class="n">grad</span>
1275-
<span class="k">if</span> <span class="n">should_use_swap_tensors</span><span class="p">:</span>
1280+
<span class="k">if</span> <span class="n">p_should_use_swap_tensors</span><span class="p">:</span>
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<span class="k">try</span><span class="p">:</span>
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<span class="k">if</span> <span class="n">param_grad</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
12781283
<span class="c1"># Accessing param.grad makes its at::Tensor&#39;s use_count 2, which will prevent swapping.</span>
@@ -1298,7 +1303,7 @@ <h1>Source code for torch.nn.modules.module</h1><div class="highlight"><pre>
12981303
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
12991304
<span class="n">grad_applied</span> <span class="o">=</span> <span class="n">fn</span><span class="p">(</span><span class="n">param_grad</span><span class="p">)</span>
13001305
<span class="n">g_should_use_set_data</span> <span class="o">=</span> <span class="n">compute_should_use_set_data</span><span class="p">(</span><span class="n">param_grad</span><span class="p">,</span> <span class="n">grad_applied</span><span class="p">)</span>
1301-
<span class="k">if</span> <span class="n">should_use_swap_tensors</span><span class="p">:</span>
1306+
<span class="k">if</span> <span class="n">p_should_use_swap_tensors</span><span class="p">:</span>
13021307
<span class="n">grad_applied</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="n">param_grad</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">)</span>
13031308
<span class="k">try</span><span class="p">:</span>
13041309
<span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">swap_tensors</span><span class="p">(</span><span class="n">param_grad</span><span class="p">,</span> <span class="n">grad_applied</span><span class="p">)</span>

‎docs/2.3/_modules/torch/nn/modules/rnn.html

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@@ -682,6 +682,7 @@ <h1>Source code for torch.nn.modules.rnn</h1><div class="highlight"><pre>
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<span class="bp">self</span><span class="o">.</span><span class="n">batch_first</span><span class="p">,</span> <span class="nb">bool</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bidirectional</span><span class="p">))</span></div>
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<span class="k">def</span> <span class="nf">_apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fn</span><span class="p">,</span> <span class="n">recurse</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
685+
<span class="bp">self</span><span class="o">.</span><span class="n">_flat_weight_refs</span> <span class="o">=</span> <span class="p">[]</span>
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<span class="n">ret</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_apply</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="n">recurse</span><span class="p">)</span>
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<span class="c1"># Resets _flat_weights</span>

‎docs/2.3/_sources/generated/exportdb/index.rst.txt

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@@ -19,8 +19,8 @@ support in export please create an issue in the pytorch/pytorch repo wih a modul
1919
:caption: Tags
2020

2121
torch.escape-hatch
22-
torch.cond
2322
torch.dynamic-shape
23+
torch.cond
2424
python.closure
2525
torch.dynamic-value
2626
python.data-structure
@@ -203,7 +203,7 @@ cond_branch_class_method
203203

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.. note::
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206-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
206+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
209209

@@ -284,7 +284,7 @@ cond_branch_nested_function
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -363,7 +363,7 @@ cond_branch_nonlocal_variables
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -528,7 +528,7 @@ cond_operands
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -602,7 +602,7 @@ cond_predicate
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.. note::
604604

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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
605+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -666,7 +666,7 @@ constrain_as_size_example
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.. note::
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Tags: :doc:`torch.dynamic-value <torch.dynamic-value>`, :doc:`torch.escape-hatch <torch.escape-hatch>`
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Tags: :doc:`torch.escape-hatch <torch.escape-hatch>`, :doc:`torch.dynamic-value <torch.dynamic-value>`
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Support Level: SUPPORTED
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@@ -726,7 +726,7 @@ constrain_as_value_example
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.. note::
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Tags: :doc:`torch.dynamic-value <torch.dynamic-value>`, :doc:`torch.escape-hatch <torch.escape-hatch>`
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Tags: :doc:`torch.escape-hatch <torch.escape-hatch>`, :doc:`torch.dynamic-value <torch.dynamic-value>`
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Support Level: SUPPORTED
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@@ -1240,7 +1240,7 @@ list_contains
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.. note::
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.data-structure <python.data-structure>`, :doc:`python.assert <python.assert>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.assert <python.assert>`, :doc:`python.data-structure <python.data-structure>`
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Support Level: SUPPORTED
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@@ -1286,7 +1286,7 @@ list_unpack
12861286

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.. note::
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Tags: :doc:`python.data-structure <python.data-structure>`, :doc:`python.control-flow <python.control-flow>`
1289+
Tags: :doc:`python.control-flow <python.control-flow>`, :doc:`python.data-structure <python.data-structure>`
12901290

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Support Level: SUPPORTED
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@@ -2005,6 +2005,6 @@ Result:
20052005

20062006
.. code-block::
20072007
2008-
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f268479fd30>
2008+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f4d9cf5cd30>
20092009
20102010

‎docs/2.3/_sources/generated/exportdb/python.assert.rst.txt

+1-1
Original file line numberDiff line numberDiff line change
@@ -51,7 +51,7 @@ list_contains
5151

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.. note::
5353

54-
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.data-structure <python.data-structure>`, :doc:`python.assert <python.assert>`
54+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.assert <python.assert>`, :doc:`python.data-structure <python.data-structure>`
5555

5656
Support Level: SUPPORTED
5757

‎docs/2.3/_sources/generated/exportdb/python.control-flow.rst.txt

+1-1
Original file line numberDiff line numberDiff line change
@@ -51,7 +51,7 @@ list_unpack
5151

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.. note::
5353

54-
Tags: :doc:`python.data-structure <python.data-structure>`, :doc:`python.control-flow <python.control-flow>`
54+
Tags: :doc:`python.control-flow <python.control-flow>`, :doc:`python.data-structure <python.data-structure>`
5555

5656
Support Level: SUPPORTED
5757

‎docs/2.3/_sources/generated/exportdb/python.data-structure.rst.txt

+2-2
Original file line numberDiff line numberDiff line change
@@ -116,7 +116,7 @@ list_contains
116116

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.. note::
118118

119-
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.data-structure <python.data-structure>`, :doc:`python.assert <python.assert>`
119+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.assert <python.assert>`, :doc:`python.data-structure <python.data-structure>`
120120

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Support Level: SUPPORTED
122122

@@ -162,7 +162,7 @@ list_unpack
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.. note::
164164

165-
Tags: :doc:`python.data-structure <python.data-structure>`, :doc:`python.control-flow <python.control-flow>`
165+
Tags: :doc:`python.control-flow <python.control-flow>`, :doc:`python.data-structure <python.data-structure>`
166166

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Support Level: SUPPORTED
168168

‎docs/2.3/_sources/generated/exportdb/torch.cond.rst.txt

+5-5
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@ cond_branch_class_method
55

66
.. note::
77

8-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
8+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
99

1010
Support Level: SUPPORTED
1111

@@ -86,7 +86,7 @@ cond_branch_nested_function
8686

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.. note::
8888

89-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
89+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
9090

9191
Support Level: SUPPORTED
9292

@@ -165,7 +165,7 @@ cond_branch_nonlocal_variables
165165

166166
.. note::
167167

168-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
168+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
169169

170170
Support Level: SUPPORTED
171171

@@ -330,7 +330,7 @@ cond_operands
330330

331331
.. note::
332332

333-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
333+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
334334

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Support Level: SUPPORTED
336336

@@ -404,7 +404,7 @@ cond_predicate
404404

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.. note::
406406

407-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
407+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
408408

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Support Level: SUPPORTED
410410

‎docs/2.3/_sources/generated/exportdb/torch.dynamic-shape.rst.txt

+6-6
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@@ -5,7 +5,7 @@ cond_branch_class_method
55

66
.. note::
77

8-
Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
8+
Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -86,7 +86,7 @@ cond_branch_nested_function
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -165,7 +165,7 @@ cond_branch_nonlocal_variables
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -269,7 +269,7 @@ cond_operands
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -343,7 +343,7 @@ cond_predicate
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.. note::
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Tags: :doc:`torch.cond <torch.cond>`, :doc:`torch.dynamic-shape <torch.dynamic-shape>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`torch.cond <torch.cond>`
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Support Level: SUPPORTED
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@@ -686,7 +686,7 @@ list_contains
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.. note::
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.data-structure <python.data-structure>`, :doc:`python.assert <python.assert>`
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Tags: :doc:`torch.dynamic-shape <torch.dynamic-shape>`, :doc:`python.assert <python.assert>`, :doc:`python.data-structure <python.data-structure>`
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Support Level: SUPPORTED
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