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William Falcon
2019-10-01 05:38:20 -05:00
parent 3c34e029ed
commit 736c747c21
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LightningModule/RequiredTrainerInterface/index.html
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@@ -1235,7 +1235,8 @@
</pre></div>
</td></tr></table>
<p>Called by lightning during training loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed.</p>
<p>Called by lightning during training loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed. <br />
If you want to change the data during every epoch DON'T use the data_loader decorator. </p>
<h5 id="return">Return</h5>
<p>PyTorch DataLoader</p>
<p><strong>Example</strong></p>
@@ -1841,7 +1842,8 @@ If you saved something with <strong>on_save_checkpoint</strong> this is your cha
<p><strong>OPTIONAL</strong> <br />
If you don't need a validation dataset and a validation_step, you don't need to implement this method. </p>
<p>Called by lightning during validation loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed. </p>
<p>Called by lightning during validation loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed. <br />
If you want to change the data during every epoch DON'T use the data_loader decorator. </p>
<h5 id="return_4">Return</h5>
<p>PyTorch DataLoader or list of PyTorch Dataloaders. </p>
<p><strong>Example</strong></p>
@@ -1891,7 +1893,8 @@ which matches the order here. </p>
<p><strong>OPTIONAL</strong> <br />
If you don't need a test dataset and a test_step, you don't need to implement this method. </p>
<p>Called by lightning during test loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed.</p>
<p>Called by lightning during test loop. Make sure to use the @pl.data_loader decorator, this ensures not calling this function until the data are needed.
If you want to change the data during every epoch DON'T use the data_loader decorator. </p>
<h5 id="return_5">Return</h5>
<p>PyTorch DataLoader</p>
<p><strong>Example</strong></p>