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[2.7] Cleanup all LightningTrainer Mentions in Ray Doc #39406

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Sep 8, 2023
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[2.7] Cleanup all LightningTrainer Mentions in Ray Doc #39406

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woshiyyya Sep 7, 2023
04dd5db
fix ref link
woshiyyya Sep 7, 2023
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2 changes: 1 addition & 1 deletion doc/source/ray-overview/examples.rst
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Expand Up @@ -1373,7 +1373,7 @@ Ray Examples
:link: /train/examples/lightning/vicuna_13b_lightning_deepspeed_finetune
:link-type: doc

Fine-tune vicuna-13b-v1.3 with DeepSpeed and LightningTrainer
Fine-tune vicuna-13b-v1.3 with DeepSpeed, PyTorch Lightning and Ray Train

.. grid-item-card:: :bdg-secondary:`Code example`
:class-item: gallery-item training llm pytorch nlp
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2 changes: 1 addition & 1 deletion doc/source/train/examples/lightning/lightning_mnist_example.ipynb
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Expand Up @@ -51,7 +51,7 @@
"source": [
"## Prepare Dataset and Module\n",
"\n",
"The Pytorch Lightning Trainer takes either `torch.utils.data.DataLoader` or `pl.LightningDataModule` as data inputs. You can keep using them without any changes for the Ray AIR LightningTrainer. "
"The Pytorch Lightning Trainer takes either `torch.utils.data.DataLoader` or `pl.LightningDataModule` as data inputs. You can keep using them without any changes with Ray Train. "
]
},
{
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5 changes: 0 additions & 5 deletions doc/source/tune/examples/includes/mnist_ptl_mini.rst
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Expand Up @@ -3,9 +3,4 @@
MNIST PyTorch Lightning Example
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. note::

In version 2.4, we introduced :class:`LightningTrainer <ray.train.lightning.LightningTrainer>`, which provides better integration with PyTorch Lightning.
For more information, please refer to :ref:`Using PyTorch Lightning with Tune <tune-pytorch-lightning-ref>`.

.. literalinclude:: /../../python/ray/tune/examples/mnist_ptl_mini.py
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