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<li class="toctree-l1"><a class="reference internal" href="../notes/amp_examples.html">Automatic Mixed Precision examples</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../notes/large_scale_deployments.html">Features for large-scale deployments</a></li>
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<h1>Source code for torchvision</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">warnings</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">.extension</span> <span class="kn">import</span> <span class="n">_HAS_OPS</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">models</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">datasets</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">ops</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">transforms</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">utils</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">import</span> <span class="n">io</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="k">try</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">.version</span> <span class="kn">import</span> <span class="n">__version__</span> <span class="c1"># noqa: F401</span>
<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
<span class="k">pass</span>
<span class="c1"># Check if torchvision is being imported within the root folder</span>
<span class="k">if</span> <span class="p">(</span><span class="ow">not</span> <span class="n">_HAS_OPS</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">realpath</span><span class="p">(</span><span class="vm">__file__</span><span class="p">))</span> <span class="o">==</span>
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">realpath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()),</span> <span class="s1">'torchvision'</span><span class="p">)):</span>
<span class="n">message</span> <span class="o">=</span> <span class="p">(</span><span class="s1">'You are importing torchvision within its own root folder (</span><span class="si">{}</span><span class="s1">). '</span>
<span class="s1">'This is not expected to work and may give errors. Please exit the '</span>
<span class="s1">'torchvision project source and relaunch your python interpreter.'</span><span class="p">)</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="n">message</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()))</span>
<span class="n">_image_backend</span> <span class="o">=</span> <span class="s1">'PIL'</span>
<span class="n">_video_backend</span> <span class="o">=</span> <span class="s2">"pyav"</span>
<div class="viewcode-block" id="set_image_backend"><a class="viewcode-back" href="../torchvision/index.html#torchvision.set_image_backend">[docs]</a><span class="k">def</span> <span class="nf">set_image_backend</span><span class="p">(</span><span class="n">backend</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Specifies the package used to load images.</span>
<span class="sd"> Args:</span>
<span class="sd"> backend (string): Name of the image backend. one of {'PIL', 'accimage'}.</span>
<span class="sd"> The :mod:`accimage` package uses the Intel IPP library. It is</span>
<span class="sd"> generally faster than PIL, but does not support as many operations.</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_image_backend</span>
<span class="k">if</span> <span class="n">backend</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">'PIL'</span><span class="p">,</span> <span class="s1">'accimage'</span><span class="p">]:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Invalid backend '</span><span class="si">{}</span><span class="s2">'. Options are 'PIL' and 'accimage'"</span>
<span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">backend</span><span class="p">))</span>
<span class="n">_image_backend</span> <span class="o">=</span> <span class="n">backend</span></div>
<div class="viewcode-block" id="get_image_backend"><a class="viewcode-back" href="../torchvision/index.html#torchvision.get_image_backend">[docs]</a><span class="k">def</span> <span class="nf">get_image_backend</span><span class="p">():</span>
<span class="sd">"""</span>
<span class="sd"> Gets the name of the package used to load images</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">_image_backend</span></div>
<div class="viewcode-block" id="set_video_backend"><a class="viewcode-back" href="../torchvision/index.html#torchvision.set_video_backend">[docs]</a><span class="k">def</span> <span class="nf">set_video_backend</span><span class="p">(</span><span class="n">backend</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Specifies the package used to decode videos.</span>
<span class="sd"> Args:</span>
<span class="sd"> backend (string): Name of the video backend. one of {'pyav', 'video_reader'}.</span>
<span class="sd"> The :mod:`pyav` package uses the 3rd party PyAv library. It is a Pythonic</span>
<span class="sd"> binding for the FFmpeg libraries.</span>
<span class="sd"> The :mod:`video_reader` package includes a native C++ implementation on</span>
<span class="sd"> top of FFMPEG libraries, and a python API of TorchScript custom operator.</span>
<span class="sd"> It is generally decoding faster than :mod:`pyav`, but perhaps is less robust.</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_video_backend</span>
<span class="k">if</span> <span class="n">backend</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"pyav"</span><span class="p">,</span> <span class="s2">"video_reader"</span><span class="p">]:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
<span class="s2">"Invalid video backend '</span><span class="si">%s</span><span class="s2">'. Options are 'pyav' and 'video_reader'"</span> <span class="o">%</span> <span class="n">backend</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">backend</span> <span class="o">==</span> <span class="s2">"video_reader"</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">io</span><span class="o">.</span><span class="n">_HAS_VIDEO_OPT</span><span class="p">:</span>
<span class="n">message</span> <span class="o">=</span> <span class="p">(</span>
<span class="s2">"video_reader video backend is not available."</span>
<span class="s2">" Please compile torchvision from source and try again"</span>
<span class="p">)</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="n">message</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">_video_backend</span> <span class="o">=</span> <span class="n">backend</span></div>
<span class="k">def</span> <span class="nf">get_video_backend</span><span class="p">():</span>
<span class="k">return</span> <span class="n">_video_backend</span>
<span class="k">def</span> <span class="nf">_is_tracing</span><span class="p">():</span>
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_get_tracing_state</span><span class="p">()</span>
</pre></div>
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