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  <h1>Source code for torch.backends.mkl</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">torch</span>

<div class="viewcode-block" id="is_available"><a class="viewcode-back" href="../../../backends.html#torch.backends.mkl.is_available">[docs]</a><span class="k">def</span> <span class="nf">is_available</span><span class="p">():</span>
    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns whether PyTorch is built with MKL support.&quot;&quot;&quot;</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">has_mkl</span></div>

<span class="n">VERBOSE_OFF</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">VERBOSE_ON</span> <span class="o">=</span> <span class="mi">1</span>
<div class="viewcode-block" id="verbose"><a class="viewcode-back" href="../../../backends.html#torch.backends.mkl.verbose">[docs]</a><span class="k">class</span> <span class="nc">verbose</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    On-demand oneMKL verbosing functionality</span>
<span class="sd">    To make it easier to debug performance issues, oneMKL can dump verbose</span>
<span class="sd">    messages containing execution information like duration while executing</span>
<span class="sd">    the kernel. The verbosing functionality can be invoked via an environment</span>
<span class="sd">    variable named `MKL_VERBOSE`. However, this methodology dumps messages in</span>
<span class="sd">    all steps. Those are a large amount of verbose messages. Moreover, for</span>
<span class="sd">    investigating the performance issues, generally taking verbose messages</span>
<span class="sd">    for one single iteration is enough. This on-demand verbosing functionality</span>
<span class="sd">    makes it possible to control scope for verbose message dumping. In the</span>
<span class="sd">    following example, verbose messages will be dumped out for the second</span>
<span class="sd">    inference only.</span>

<span class="sd">    .. highlight:: python</span>
<span class="sd">    .. code-block:: python</span>

<span class="sd">        import torch</span>
<span class="sd">        model(data)</span>
<span class="sd">        with torch.backends.mkl.verbose(torch.backends.mkl.VERBOSE_ON):</span>
<span class="sd">            model(data)</span>

<span class="sd">    Args:</span>
<span class="sd">        level: Verbose level</span>
<span class="sd">            - ``VERBOSE_OFF``: Disable verbosing</span>
<span class="sd">            - ``VERBOSE_ON``:  Enable verbosing</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">enable</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">enable</span> <span class="o">=</span> <span class="n">enable</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">enable</span> <span class="o">==</span> <span class="n">VERBOSE_OFF</span><span class="p">:</span>
            <span class="k">return</span>
        <span class="n">st</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_verbose</span><span class="o">.</span><span class="n">mkl_set_verbose</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">enable</span><span class="p">)</span>
        <span class="k">assert</span> <span class="n">st</span><span class="p">,</span> <span class="s2">&quot;Failed to set MKL into verbose mode. Please consider to disable this verbose scope.&quot;</span>
        <span class="k">return</span> <span class="bp">self</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_val</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_verbose</span><span class="o">.</span><span class="n">mkl_set_verbose</span><span class="p">(</span><span class="n">VERBOSE_OFF</span><span class="p">)</span>
        <span class="k">return</span> <span class="kc">False</span></div>
</pre></div>

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