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Change links to the newest examples
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The current links are poiting to older examples on an individual
repo. This PR replaces those links with the PyTorch upstream
examples repo. Also, adding consistency in how examples are
referenced to point to the links.

Signed-off-by: Sahdev Zala <spzala@us.ibm.com>
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spzala committed Nov 1, 2023
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Expand Up @@ -74,8 +74,8 @@ summarization using WikiHow dataset. The main focus of this tutorial is to
highlight different available features in FSDP that are helpful for training
large scale model above 3B parameters. Also, we cover specific features for
Transformer based models. The code for this tutorial is available in `Pytorch
Examples
<https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP/>`__.
examples
<https://github.com/pytorch/examples/tree/main/distributed/FSDP/>`__.


*Setup*
Expand All @@ -97,13 +97,13 @@ Please create a `data` folder, download the WikiHow dataset from `wikihowAll.csv
`wikihowSep.cs <https://ucsb.app.box.com/s/7yq601ijl1lzvlfu4rjdbbxforzd2oag>`__,
and place them in the `data` folder. We will use the wikihow dataset from
`summarization_dataset
<https://github.com/HamidShojanazeri/examples/blob/FSDP_example/distributed/FSDP/summarization_dataset.py>`__.
<https://github.com/pytorch/examples/blob/main/distributed/FSDP/summarization_dataset.py>`__.

Next, we add the following code snippets to a Python script “T5_training.py”.

.. note::
The full source code for this tutorial is available in `PyTorch examples
<https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP>`__.
<https://github.com/pytorch/examples/tree/main/distributed/FSDP/>`__.

1.3 Import necessary packages:

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