From 0d17c96f7fef6a970d328c35228eda59fdfc94d5 Mon Sep 17 00:00:00 2001
From: Matt Williams <matt.williams@amd.com>
Date: Wed, 10 Dec 2025 11:17:59 -0500
Subject: [PATCH] Fixing link redirects (#5758)

* Update multi-gpu-fine-tuning-and-inference.rst

* Update pytorch-training-v25.6.rst

* Update pytorch-compatibility.rst
---
 docs/compatibility/ml-compatibility/pytorch-compatibility.rst | 4 ++--
 .../fine-tuning/multi-gpu-fine-tuning-and-inference.rst       | 2 +-
 .../previous-versions/pytorch-training-v25.6.rst              | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
index a51f726d3..5cb2454c3 100644
--- a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
@@ -349,7 +349,7 @@ with ROCm.
         you need to explicitly move audio data (waveform tensor) to GPU using
         ``.to('cuda')``.
 
-    * - `torchtune <https://docs.pytorch.org/torchtune/stable/index.html>`_
+    * - `torchtune <https://meta-pytorch.org/torchtune/stable/index.html>`_
       - PyTorch-native library designed for fine-tuning large language models
         (LLMs). Provides supports the full fine-tuning workflow and offers
         compatibility with popular production inference systems.
@@ -366,7 +366,7 @@ with ROCm.
         constructing flexible and performant data pipelines, with features still
         in prototype stage.
 
-    * - `torchrec <https://docs.pytorch.org/torchrec/>`_
+    * - `torchrec <https://meta-pytorch.org/torchrec/>`_
       - PyTorch domain library for common sparsity and parallelism primitives
         needed for large-scale recommender systems, enabling authors to train
         models with large embedding tables shared across many GPUs.
diff --git a/docs/how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference.rst b/docs/how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference.rst
index 83ec3927b..0e2b879e8 100644
--- a/docs/how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference.rst
+++ b/docs/how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference.rst
@@ -130,7 +130,7 @@ After loading the model in this way, the model is fully ready to use the resourc
 torchtune for fine-tuning and inference
 =============================================
 
-`torchtune <https://pytorch.org/torchtune/main/>`_ is a PyTorch-native library for easy single and multi-GPU 
+`torchtune <https://meta-pytorch.org/torchtune/main/>`_ is a PyTorch-native library for easy single and multi-GPU 
 model fine-tuning and inference with LLMs.
 
 #. Install torchtune using pip.
diff --git a/docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.6.rst b/docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.6.rst
index 8499a4b47..958b07575 100644
--- a/docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.6.rst
+++ b/docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.6.rst
@@ -240,7 +240,7 @@ The following models are pre-optimized for performance on the AMD Instinct MI325
                  - `Hugging Face Datasets <https://huggingface.co/docs/datasets/v3.2.0/en/index>`_ 3.2.0
 
                * - ``torchdata``
-                 - `TorchData <https://pytorch.org/data/beta/index.html>`_
+                 - `TorchData <https://meta-pytorch.org/data/beta/index.html>`_
 
                * - ``tomli``
                  - `Tomli <https://pypi.org/project/tomli/>`_