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‎docs/master/__config__.html

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<div class="version">
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+b8f50d9 &#x25BC</a>
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+0febff3 &#x25BC</a>
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‎docs/master/_modules/index.html

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‎docs/master/_modules/torch.html

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<div class="version">
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+b8f50d9 &#x25BC</a>
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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+0febff3 &#x25BC</a>
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@@ -350,10 +350,10 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="kn">import</span> <span class="nn">os</span>
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<span class="kn">import</span> <span class="nn">sys</span>
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<span class="kn">import</span> <span class="nn">platform</span>
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<span class="kn">from</span> <span class="nn">._utils</span> <span class="k">import</span> <span class="n">_import_dotted_name</span>
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<span class="kn">from</span> <span class="nn">._utils_internal</span> <span class="k">import</span> <span class="n">get_file_path</span><span class="p">,</span> <span class="n">prepare_multiprocessing_environment</span>
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<span class="kn">from</span> <span class="nn">.version</span> <span class="k">import</span> <span class="n">__version__</span>
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<span class="kn">from</span> <span class="nn">._six</span> <span class="k">import</span> <span class="n">string_classes</span> <span class="k">as</span> <span class="n">_string_classes</span>
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<span class="kn">from</span> <span class="nn">._utils</span> <span class="kn">import</span> <span class="n">_import_dotted_name</span>
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<span class="kn">from</span> <span class="nn">._utils_internal</span> <span class="kn">import</span> <span class="n">get_file_path</span><span class="p">,</span> <span class="n">prepare_multiprocessing_environment</span>
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<span class="kn">from</span> <span class="nn">.version</span> <span class="kn">import</span> <span class="n">__version__</span>
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<span class="kn">from</span> <span class="nn">._six</span> <span class="kn">import</span> <span class="n">string_classes</span> <span class="k">as</span> <span class="n">_string_classes</span>
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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
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<span class="s1">&#39;typename&#39;</span><span class="p">,</span> <span class="s1">&#39;is_tensor&#39;</span><span class="p">,</span> <span class="s1">&#39;is_storage&#39;</span><span class="p">,</span> <span class="s1">&#39;set_default_tensor_type&#39;</span><span class="p">,</span>
@@ -415,7 +415,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="k">del</span> <span class="n">_dl_flags</span>
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<span class="kn">from</span> <span class="nn">torch._C</span> <span class="k">import</span> <span class="o">*</span>
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<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="o">*</span>
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<span class="n">__all__</span> <span class="o">+=</span> <span class="p">[</span><span class="n">name</span> <span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">dir</span><span class="p">(</span><span class="n">_C</span><span class="p">)</span>
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<span class="k">if</span> <span class="n">name</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;_&#39;</span> <span class="ow">and</span>
@@ -514,16 +514,16 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="n">_C</span><span class="o">.</span><span class="n">_set_default_dtype</span><span class="p">(</span><span class="n">d</span><span class="p">)</span></div>
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<span class="c1"># If you edit these imports, please update torch/__init__.py.in as well</span>
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<span class="kn">from</span> <span class="nn">.random</span> <span class="k">import</span> <span class="n">set_rng_state</span><span class="p">,</span> <span class="n">get_rng_state</span><span class="p">,</span> <span class="n">manual_seed</span><span class="p">,</span> <span class="n">initial_seed</span><span class="p">,</span> <span class="n">seed</span>
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<span class="kn">from</span> <span class="nn">.serialization</span> <span class="k">import</span> <span class="n">save</span><span class="p">,</span> <span class="n">load</span>
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<span class="kn">from</span> <span class="nn">._tensor_str</span> <span class="k">import</span> <span class="n">set_printoptions</span>
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<span class="kn">from</span> <span class="nn">.random</span> <span class="kn">import</span> <span class="n">set_rng_state</span><span class="p">,</span> <span class="n">get_rng_state</span><span class="p">,</span> <span class="n">manual_seed</span><span class="p">,</span> <span class="n">initial_seed</span><span class="p">,</span> <span class="n">seed</span>
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<span class="kn">from</span> <span class="nn">.serialization</span> <span class="kn">import</span> <span class="n">save</span><span class="p">,</span> <span class="n">load</span>
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<span class="kn">from</span> <span class="nn">._tensor_str</span> <span class="kn">import</span> <span class="n">set_printoptions</span>
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<span class="c1">################################################################################</span>
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<span class="c1"># Define Storage and Tensor classes</span>
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<span class="c1">################################################################################</span>
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<span class="kn">from</span> <span class="nn">.tensor</span> <span class="k">import</span> <span class="n">Tensor</span>
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<span class="kn">from</span> <span class="nn">.storage</span> <span class="k">import</span> <span class="n">_StorageBase</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>
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<span class="k">class</span> <span class="nc">DoubleStorage</span><span class="p">(</span><span class="n">_C</span><span class="o">.</span><span class="n">DoubleStorageBase</span><span class="p">,</span> <span class="n">_StorageBase</span><span class="p">):</span>
@@ -614,7 +614,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="c1">################################################################################</span>
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<span class="c1"># needs to be after the above ATen bindings so we can overwrite from Python side</span>
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<span class="kn">from</span> <span class="nn">.functional</span> <span class="k">import</span> <span class="o">*</span>
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<span class="kn">from</span> <span class="nn">.functional</span> <span class="kn">import</span> <span class="o">*</span>
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<span class="c1">################################################################################</span>
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<span class="kn">import</span> <span class="nn">torch.cuda</span>
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<span class="kn">import</span> <span class="nn">torch.autograd</span>
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<span class="kn">from</span> <span class="nn">torch.autograd</span> <span class="k">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>
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<span class="kn">from</span> <span class="nn">torch.autograd</span> <span class="kn">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>
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<span class="kn">import</span> <span class="nn">torch.nn.intrinsic</span>
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<span class="kn">import</span> <span class="nn">torch.nn.quantized</span>
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<span class="n">_C</span><span class="o">.</span><span class="n">_init_names</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">_storage_classes</span><span class="p">))</span>
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<span class="c1"># attach docstrings to torch and tensor functions</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">_torch_docs</span><span class="p">,</span> <span class="n">_tensor_docs</span><span class="p">,</span> <span class="n">_storage_docs</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_torch_docs</span><span class="p">,</span> <span class="n">_tensor_docs</span><span class="p">,</span> <span class="n">_storage_docs</span>
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<span class="k">del</span> <span class="n">_torch_docs</span><span class="p">,</span> <span class="n">_tensor_docs</span><span class="p">,</span> <span class="n">_storage_docs</span>
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@@ -674,8 +674,8 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="c1"># Import the ops &quot;namespace&quot;</span>
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<span class="kn">from</span> <span class="nn">torch._ops</span> <span class="k">import</span> <span class="n">ops</span>
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<span class="kn">from</span> <span class="nn">torch._classes</span> <span class="k">import</span> <span class="n">classes</span>
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<span class="kn">from</span> <span class="nn">torch._ops</span> <span class="kn">import</span> <span class="n">ops</span>
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<span class="kn">from</span> <span class="nn">torch._classes</span> <span class="kn">import</span> <span class="n">classes</span>
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<span class="c1"># Import the quasi random sampler</span>
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‎docs/master/_modules/torch/__config__.html

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<a href='http://pytorch.org/docs/versions.html'>1.4.0a0+0febff3 &#x25BC</a>
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