From 4fdf26e6eccb15a7423ceba91207eae3742eabb9 Mon Sep 17 00:00:00 2001
From: Degao Chu <degaochu@cn.ibm.com>
Date: Thu, 8 Jun 2023 15:34:30 +0800
Subject: [PATCH] Update example link in FSDP_adavnced_tutorial.rst

---
 intermediate_source/FSDP_adavnced_tutorial.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/intermediate_source/FSDP_adavnced_tutorial.rst b/intermediate_source/FSDP_adavnced_tutorial.rst
index cce90e8787e..748c8593306 100644
--- a/intermediate_source/FSDP_adavnced_tutorial.rst
+++ b/intermediate_source/FSDP_adavnced_tutorial.rst
@@ -75,7 +75,7 @@ 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/FSDP/>`__.
+<https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP/>`__.
 
 
 *Setup*
@@ -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/FSDP/summarization_dataset.py>`__.
+<https://github.com/HamidShojanazeri/examples/blob/FSDP_example/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/FSDP>`__.
+   <https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP>`__.
 
 1.3  Import necessary packages: