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<h1>Source code for torch.monitor</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">torch._C._monitor</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span>
<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">torch.utils.tensorboard</span> <span class="kn">import</span> <span class="n">SummaryWriter</span>
<span class="n">STAT_EVENT</span> <span class="o">=</span> <span class="s2">"torch.monitor.Stat"</span>
<div class="viewcode-block" id="TensorboardEventHandler"><a class="viewcode-back" href="../../monitor.html#torch.monitor.TensorboardEventHandler">[docs]</a><span class="k">class</span> <span class="nc">TensorboardEventHandler</span><span class="p">:</span>
<span class="sd">"""</span>
<span class="sd"> TensorboardEventHandler is an event handler that will write known events to</span>
<span class="sd"> the provided SummaryWriter.</span>
<span class="sd"> This currently only supports ``torch.monitor.Stat`` events which are logged</span>
<span class="sd"> as scalars.</span>
<span class="sd"> Example:</span>
<span class="sd"> >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MONITOR)</span>
<span class="sd"> >>> # xdoctest: +REQUIRES(module:tensorboard)</span>
<span class="sd"> >>> from torch.utils.tensorboard import SummaryWriter</span>
<span class="sd"> >>> from torch.monitor import TensorboardEventHandler, register_event_handler</span>
<span class="sd"> >>> writer = SummaryWriter("log_dir")</span>
<span class="sd"> >>> register_event_handler(TensorboardEventHandler(writer))</span>
<span class="sd"> """</span>
<div class="viewcode-block" id="TensorboardEventHandler.__init__"><a class="viewcode-back" href="../../monitor.html#torch.monitor.TensorboardEventHandler.__init__">[docs]</a> <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">writer</span><span class="p">:</span> <span class="s2">"SummaryWriter"</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="sd">"""</span>
<span class="sd"> Constructs the ``TensorboardEventHandler``.</span>
<span class="sd"> """</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_writer</span> <span class="o">=</span> <span class="n">writer</span></div>
<span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">event</span><span class="p">:</span> <span class="n">Event</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="n">event</span><span class="o">.</span><span class="n">name</span> <span class="o">==</span> <span class="n">STAT_EVENT</span><span class="p">:</span>
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">event</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_writer</span><span class="o">.</span><span class="n">add_scalar</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">walltime</span><span class="o">=</span><span class="n">event</span><span class="o">.</span><span class="n">timestamp</span><span class="o">.</span><span class="n">timestamp</span><span class="p">())</span></div>
</pre></div>
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