Generate Python docs from pytorch/pytorch@f42e88f

pytorch · Sep 28, 2024 · 67ba71f · 67ba71f
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diff --git a/nightly/_modules/index.html b/nightly/_modules/index.html
@@ -265,7 +265,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/functorch/versions.html'>nightly (2.6.0a0+git193073b) &#x25BC</a>
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diff --git a/nightly/_modules/torch/_functorch/aot_autograd.html b/nightly/_modules/torch/_functorch/aot_autograd.html
@@ -265,7 +265,7 @@
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     <div class="version">
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+      <a href='https://pytorch.org/functorch/versions.html'>nightly (2.6.0a0+gitf42e88f) &#x25BC</a>
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@@ -408,7 +408,6 @@ <h1>Source code for torch._functorch.aot_autograd</h1><div class="highlight"><pr
 <span class="kn">from</span> <span class="nn">torch.fx.experimental.proxy_tensor</span> <span class="kn">import</span> <span class="n">make_fx</span>
 <span class="kn">from</span> <span class="nn">torch.fx.experimental.symbolic_shapes</span> <span class="kn">import</span> <span class="n">ShapeEnv</span>
 <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>
-<span class="kn">from</span> <span class="nn">torch.utils.weak</span> <span class="kn">import</span> <span class="n">TensorWeakRef</span>
 
 
 <span class="n">static_inputs_log</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_logging</span><span class="o">.</span><span class="n">getArtifactLogger</span><span class="p">(</span>
@@ -1065,6 +1064,7 @@ <h1>Source code for torch._functorch.aot_autograd</h1><div class="highlight"><pr
                             <span class="n">num_intermediate_bases</span><span class="o">=</span><span class="n">fw_metadata</span><span class="o">.</span><span class="n">num_intermediate_bases</span><span class="p">,</span>
                             <span class="n">keep_input_mutations</span><span class="o">=</span><span class="n">aot_config</span><span class="o">.</span><span class="n">keep_inference_input_mutations</span><span class="p">,</span>
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+                            <span class="n">traced_tangent_memory_formats</span><span class="o">=</span><span class="n">fw_metadata</span><span class="o">.</span><span class="n">traced_tangent_memory_formats</span><span class="p">,</span>
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@@ -1367,12 +1367,9 @@ <h1>Source code for torch._functorch.aot_autograd</h1><div class="highlight"><pr
     <span class="k">if</span> <span class="n">tracing_context</span> <span class="o">:=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_guards</span><span class="o">.</span><span class="n">TracingContext</span><span class="o">.</span><span class="n">try_get</span><span class="p">():</span>
         <span class="n">tracing_context</span><span class="o">.</span><span class="n">params_flat</span> <span class="o">=</span> <span class="n">params_flat</span>
         <span class="p">(</span>
-            <span class="n">params_flat_unwrap_subclasses</span><span class="p">,</span>
+            <span class="n">tracing_context</span><span class="o">.</span><span class="n">params_flat_unwrap_subclasses</span><span class="p">,</span>
             <span class="n">tracing_context</span><span class="o">.</span><span class="n">params_unwrapped_to_flat_index</span><span class="p">,</span>
         <span class="p">)</span> <span class="o">=</span> <span class="n">unwrap_tensor_subclasses_with_indices_to_original</span><span class="p">(</span><span class="n">params_flat</span><span class="p">)</span>
-        <span class="n">tracing_context</span><span class="o">.</span><span class="n">params_flat_unwrap_subclasses</span> <span class="o">=</span> <span class="p">[</span>
-            <span class="n">TensorWeakRef</span><span class="p">(</span><span class="n">p</span><span class="p">)</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params_flat_unwrap_subclasses</span>
-        <span class="p">]</span>
 
     <span class="n">aot_autograd_arg_pos_to_source</span> <span class="o">=</span> <span class="kc">None</span>
     <span class="c1"># Then, the params 1:1 mapped sources, if relevant.</span>
@@ -1440,7 +1437,7 @@ <h1>Source code for torch._functorch.aot_autograd</h1><div class="highlight"><pr
         <span class="n">static_input_indices</span><span class="o">=</span><span class="n">static_input_indices</span><span class="p">,</span>
         <span class="n">is_export</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
         <span class="n">no_tangents</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-        <span class="n">cache_key</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">cache_info</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
     <span class="p">)</span>
     <span class="n">fake_mode</span><span class="p">,</span> <span class="n">shape_env</span> <span class="o">=</span> <span class="n">construct_fake_mode</span><span class="p">(</span><span class="n">full_args</span><span class="p">,</span> <span class="n">aot_config</span><span class="p">)</span>
     <span class="n">fake_flat_args</span> <span class="o">=</span> <span class="n">process_inputs</span><span class="p">(</span><span class="n">full_args</span><span class="p">,</span> <span class="n">aot_config</span><span class="p">,</span> <span class="n">fake_mode</span><span class="p">,</span> <span class="n">shape_env</span><span class="p">)</span>

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diff --git a/nightly/_modules/torch/_functorch/deprecated.html b/nightly/_modules/torch/_functorch/deprecated.html
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diff --git a/nightly/_modules/torch/_functorch/partitioners.html b/nightly/_modules/torch/_functorch/partitioners.html
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diff --git a/nightly/aot_autograd.html b/nightly/aot_autograd.html
@@ -267,7 +267,7 @@
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