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<h1>Testing loop</h1>
<p>To ensure you don't accidentally use test data to guide training decisions Lightning makes running the test set deliberate. </p>
<hr />
<h4 id="test">test</h4>
<p>You have two options to run the test set.
First case is where you test right after a full training routine.</p>
<table class="codehilitetable"><tr><td class="linenos"><div class="linenodiv"><pre>1
2
3
4
5</pre></div></td><td class="code"><div class="codehilite"><pre><span></span><span class="c1"># run full training</span>
<span class="n">trainer</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
<span class="c1"># run test set</span>
<span class="n">trainer</span><span class="o">.</span><span class="n">test</span><span class="p">()</span>
</pre></div>
</td></tr></table>
<p>Second case is where you load a model and run the test set </p>
<table class="codehilitetable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
2
3
4
5
6
7
8
9
10
11
12</pre></div></td><td class="code"><div class="codehilite"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">MyLightningModule</span><span class="o">.</span><span class="n">load_from_metrics</span><span class="p">(</span>
<span class="n">weights_path</span><span class="o">=</span><span class="s1">&#39;/path/to/pytorch_checkpoint.ckpt&#39;</span><span class="p">,</span>
<span class="n">tags_csv</span><span class="o">=</span><span class="s1">&#39;/path/to/test_tube/experiment/version/meta_tags.csv&#39;</span><span class="p">,</span>
<span class="n">on_gpu</span><span class="o">=</span><span class="bp">True</span><span class="p">,</span>
<span class="n">map_location</span><span class="o">=</span><span class="bp">None</span>
<span class="p">)</span>
<span class="c1"># init trainer with whatever options</span>
<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
<span class="c1"># test (pass in the model)</span>
<span class="n">trainer</span><span class="o">.</span><span class="n">test</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
</pre></div>
</td></tr></table>
<p>In this second case, the options you pass to trainer will be used when running the test set (ie: 16-bit, dp, ddp, etc...) </p>
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