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@@ -467,7 +467,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="s1">&#39;no_grad&#39;</span><span class="p">,</span> <span class="s1">&#39;enable_grad&#39;</span><span class="p">,</span> <span class="s1">&#39;rand&#39;</span><span class="p">,</span> <span class="s1">&#39;randn&#39;</span><span class="p">,</span> <span class="s1">&#39;inference_mode&#39;</span><span class="p">,</span>
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<span class="s1">&#39;_TypedStorage&#39;</span><span class="p">,</span>
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<span class="s1">&#39;TypedStorage&#39;</span><span class="p">,</span> <span class="s1">&#39;UntypedStorage&#39;</span><span class="p">,</span>
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<span class="s1">&#39;DoubleTensor&#39;</span><span class="p">,</span> <span class="s1">&#39;FloatTensor&#39;</span><span class="p">,</span> <span class="s1">&#39;LongTensor&#39;</span><span class="p">,</span> <span class="s1">&#39;IntTensor&#39;</span><span class="p">,</span>
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@@ -1083,10 +1083,10 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="c1">################################################################################</span>
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<span class="kn">from</span> <span class="nn">._tensor</span> <span class="kn">import</span> <span class="n">Tensor</span>
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<span class="kn">from</span> <span class="nn">.storage</span> <span class="kn">import</span> <span class="n">_StorageBase</span><span class="p">,</span> <span class="n">_TypedStorage</span><span class="p">,</span> <span class="n">_LegacyStorage</span><span class="p">,</span> <span class="n">_UntypedStorage</span>
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<span class="kn">from</span> <span class="nn">.storage</span> <span class="kn">import</span> <span class="n">_StorageBase</span><span class="p">,</span> <span class="n">TypedStorage</span><span class="p">,</span> <span class="n">_LegacyStorage</span><span class="p">,</span> <span class="n">UntypedStorage</span>
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<span class="c1"># NOTE: New &lt;type&gt;Storage classes should never be added. When adding a new</span>
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<span class="c1"># dtype, use torch.storage._TypedStorage directly.</span>
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<span class="c1"># dtype, use torch.storage.TypedStorage directly.</span>
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<div class="viewcode-block" id="ByteStorage"><a class="viewcode-back" href="../storage.html#torch.ByteStorage">[docs]</a><span class="k">class</span> <span class="nc">ByteStorage</span><span class="p">(</span><span class="n">_LegacyStorage</span><span class="p">):</span>
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<div class="viewcode-block" id="ByteStorage.dtype"><a class="viewcode-back" href="../storage.html#torch.ByteStorage.dtype">[docs]</a> <span class="nd">@classproperty</span>
@@ -1174,11 +1174,11 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">quint2x4</span></div></div>
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<span class="n">_storage_classes</span> <span class="o">=</span> <span class="p">{</span>
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<span class="n">_UntypedStorage</span><span class="p">,</span> <span class="n">DoubleStorage</span><span class="p">,</span> <span class="n">FloatStorage</span><span class="p">,</span> <span class="n">LongStorage</span><span class="p">,</span> <span class="n">IntStorage</span><span class="p">,</span>
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<span class="n">UntypedStorage</span><span class="p">,</span> <span class="n">DoubleStorage</span><span class="p">,</span> <span class="n">FloatStorage</span><span class="p">,</span> <span class="n">LongStorage</span><span class="p">,</span> <span class="n">IntStorage</span><span class="p">,</span>
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<span class="n">ShortStorage</span><span class="p">,</span> <span class="n">CharStorage</span><span class="p">,</span> <span class="n">ByteStorage</span><span class="p">,</span> <span class="n">HalfStorage</span><span class="p">,</span> <span class="n">BoolStorage</span><span class="p">,</span>
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<span class="n">QUInt8Storage</span><span class="p">,</span> <span class="n">QInt8Storage</span><span class="p">,</span> <span class="n">QInt32Storage</span><span class="p">,</span> <span class="n">BFloat16Storage</span><span class="p">,</span>
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<span class="n">ComplexFloatStorage</span><span class="p">,</span> <span class="n">ComplexDoubleStorage</span><span class="p">,</span> <span class="n">QUInt4x2Storage</span><span class="p">,</span> <span class="n">QUInt2x4Storage</span><span class="p">,</span>
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<span class="n">_TypedStorage</span>
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<span class="n">TypedStorage</span>
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<span class="p">}</span>
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<span class="c1"># The _tensor_classes set is initialized by the call to _C._initialize_tensor_type_bindings()</span>

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<span class="sa">f</span><span class="s2">&quot;Unsupported qscheme </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span><span class="p">()</span><span class="si">}</span><span class="s2"> in deepcopy&quot;</span>
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<span class="c1"># need to wrap with TypedStorage</span>
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<span class="n">new_tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_utils</span><span class="o">.</span><span class="n">_rebuild_qtensor</span><span class="p">(</span>
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<span class="n">wrap_storage</span><span class="o">=</span><span class="n">new_storage</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
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<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
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<span class="n">wrap_storage</span><span class="o">=</span><span class="n">new_storage</span><span class="o">.</span><span class="n">untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
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@@ -684,7 +684,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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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">torch</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span><span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_storage</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span></div>
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<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span><span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_storage</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span></div>
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<span class="k">def</span> <span class="nf">_reduce_ex_internal</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">proto</span><span class="p">):</span>
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@@ -753,10 +753,10 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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<span class="sa">f</span><span class="s2">&quot;Serialization is not supported for tensors of type </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span><span class="p">()</span><span class="si">}</span><span class="s2">&quot;</span>
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<span class="c1"># TODO: Once we decide to break serialization FC, no longer</span>
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<span class="c1"># need to wrap with _TypedStorage</span>
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<span class="n">args_qtensor</span> <span class="o">=</span> <span class="p">(</span>
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<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span>
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<span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
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<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
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<span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
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@@ -811,10 +811,10 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
811811
<span class="k">return</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">_utils</span><span class="o">.</span><span class="n">_rebuild_wrapper_subclass</span><span class="p">,</span> <span class="n">arg_wrapper_subclass</span><span class="p">)</span>
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<span class="k">else</span><span class="p">:</span>
813813
<span class="c1"># TODO: Once we decide to break serialization FC, no longer</span>
814-
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814+
<span class="c1"># need to wrap with TypedStorage</span>
815815
<span class="n">args</span> <span class="o">=</span> <span class="p">(</span>
816-
<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_TypedStorage</span><span class="p">(</span>
817-
<span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">_untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
816+
<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
817+
<span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">storage</span><span class="p">()</span><span class="o">.</span><span class="n">untyped</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span>
818818
<span class="p">),</span>
819819
<span class="bp">self</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">(),</span>
820820
<span class="nb">tuple</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">size</span><span class="p">()),</span>

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