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@@ -580,7 +580,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
580580
<span class="s2">&quot;different type.&quot;</span>
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<span class="p">)</span>
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<span class="k">else</span><span class="p">:</span>
583-
<span class="n">new_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">__deepcopy__</span><span class="p">(</span><span class="n">memo</span><span class="p">)</span>
583+
<span class="n">new_storage</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span><span class="o">.</span><span class="n">_deepcopy</span><span class="p">(</span><span class="n">memo</span><span class="p">)</span>
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<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_quantized</span><span class="p">:</span>
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<span class="c1"># quantizer_params can be different type based on torch attribute</span>
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<span class="n">quantizer_params</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span>
@@ -611,7 +611,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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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">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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<span class="n">wrap_storage</span><span class="o">=</span><span class="n">new_storage</span><span class="o">.</span><span class="n">_untyped_storage</span><span class="p">,</span>
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<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>
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<span class="n">_internal</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
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<span class="p">),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">storage_offset</span><span class="p">(),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">size</span><span class="p">(),</span>
@@ -705,7 +707,17 @@ <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">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">storage</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>
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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="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_warn_typed_storage_removal</span><span class="p">()</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span></div>
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713+
<span class="c1"># For internal use only, to avoid raising deprecation warning</span>
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<span class="k">def</span> <span class="nf">_typed_storage</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
715+
<span class="n">_storage</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_storage</span><span class="p">()</span>
716+
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">_storage</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">):</span>
717+
<span class="n">_storage</span> <span class="o">=</span> <span class="n">_storage</span><span class="o">.</span><span class="n">_untyped_storage</span>
718+
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">TypedStorage</span><span class="p">(</span>
719+
<span class="n">wrap_storage</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> <span class="n">_internal</span><span class="o">=</span><span class="kc">True</span>
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<span class="p">)</span>
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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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@@ -779,7 +791,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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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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794+
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796+
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<span class="p">),</span>
784798
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<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>
@@ -837,7 +851,9 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
837851
<span class="c1"># need to wrap with TypedStorage</span>
838852
<span class="n">args</span> <span class="o">=</span> <span class="p">(</span>
839853
<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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854+
<span class="n">wrap_storage</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span><span class="o">.</span><span class="n">_untyped_storage</span><span class="p">,</span>
855+
<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>
856+
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841857
<span class="p">),</span>
842858
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@@ -1055,7 +1071,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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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">is_shared</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>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span><span class="o">.</span><span class="n">_is_shared</span><span class="p">()</span></div>
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<div class="viewcode-block" id="Tensor.share_memory_"><a class="viewcode-back" href="../../generated/torch.Tensor.share_memory_.html#torch.Tensor.share_memory_">[docs]</a> <span class="k">def</span> <span class="nf">share_memory_</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Moves the underlying storage to shared memory.</span>
@@ -1065,7 +1081,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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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">share_memory_</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>
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<span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span><span class="o">.</span><span class="n">_share_memory_</span><span class="p">()</span>
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<span class="k">return</span> <span class="bp">self</span></div>
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10711087
<span class="k">def</span> <span class="fm">__reversed__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
@@ -1507,7 +1523,9 @@ <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">handle_torch_function</span><span class="p">(</span><span class="n">Tensor</span><span class="o">.</span><span class="n">storage_type</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>
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1510-
<span class="k">return</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">_get_legacy_storage_class</span><span class="p">()</span></div>
1526+
<span class="n">torch</span><span class="o">.</span><span class="n">storage</span><span class="o">.</span><span class="n">_warn_typed_storage_removal</span><span class="p">()</span>
1527+
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_typed_storage</span><span class="p">()</span><span class="o">.</span><span class="n">_get_legacy_storage_class</span><span class="p">()</span></div>
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<div class="viewcode-block" id="Tensor.refine_names"><a class="viewcode-back" href="../../named_tensor.html#torch.Tensor.refine_names">[docs]</a> <span class="k">def</span> <span class="nf">refine_names</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">):</span>
15131531
<span class="sa">r</span><span class="sd">&quot;&quot;&quot;Refines the dimension names of :attr:`self` according to :attr:`names`.</span>

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@@ -591,8 +591,8 @@ <h1>Source code for torch._utils</h1><div class="highlight"><pre>
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<span class="k">def</span> <span class="nf">_rebuild_tensor</span><span class="p">(</span><span class="n">storage</span><span class="p">,</span> <span class="n">storage_offset</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">stride</span><span class="p">):</span>
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<span class="c1"># first construct a tensor with the correct dtype/device</span>
594-
<span class="n">t</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">storage</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">storage</span><span class="o">.</span><span class="n">untyped</span><span class="p">()</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
595-
<span class="k">return</span> <span class="n">t</span><span class="o">.</span><span class="n">set_</span><span class="p">(</span><span class="n">storage</span><span class="o">.</span><span class="n">untyped</span><span class="p">(),</span> <span class="n">storage_offset</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">stride</span><span class="p">)</span>
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<span class="n">t</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">([],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">storage</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">storage</span><span class="o">.</span><span class="n">_untyped_storage</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">t</span><span class="o">.</span><span class="n">set_</span><span class="p">(</span><span class="n">storage</span><span class="o">.</span><span class="n">_untyped_storage</span><span class="p">,</span> <span class="n">storage_offset</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">stride</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">_rebuild_tensor_v2</span><span class="p">(</span>

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<a href='https://pytorch.org/docs/versions.html'>master (1.14.0a0+git9f58e02 ) &#x25BC</a>
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