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docs clean up
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docs/source/new-project.rst

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@@ -63,7 +63,7 @@ Step 2: Fit with a Trainer
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trainer = Trainer(gpus=8, num_nodes=1)
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trainer.fit(model)
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Under the hood, lightning does (in high-level pseudocode):
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Under the hood, lightning does (in high-level pseudocode):
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.. code-block:: python
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@@ -139,7 +139,7 @@ Under the hood in pseudocode, lightning does the following:
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The beauty of Lightning is that it handles the details of when to validate, when to call .eval(),
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turning off gradients, detaching graphs, making sure you don't enable shuffle for val, etc...
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ie: Lightning removes all the million details you need to remember during research
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.. note:: Lightning removes all the million details you need to remember during research
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Test loop
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