Merge pull request ROCm#3176 from peterjunpark/docs/6.1.1

docs/6.1.1: Reorg 'Deep learning' and 'Tuning guides' docs (ROCm#3153)
peterjunpark · May 29, 2024 · 56527ed · 56527ed
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diff --git a/docs/data/how-to/framework_install_2024_05_23.png b/docs/data/how-to/framework_install_2024_05_23.png
diff --git a/docs/how-to/deep-learning-rocm.md b/docs/how-to/deep-learning-rocm.md
diff --git a/docs/how-to/deep-learning-rocm.rst b/docs/how-to/deep-learning-rocm.rst
@@ -0,0 +1,69 @@
+.. meta::
+   :description: How to install deep learning frameworks for ROCm
+   :keywords: deep learning, frameworks, ROCm, install, PyTorch, TensorFlow, JAX, MAGMA, DeepSpeed, ML, AI
+
+********************************************
+Installing deep learning frameworks for ROCm
+********************************************
+
+ROCm provides a comprehensive ecosystem for deep learning development, including
+:ref:`libraries <artificial-intelligence-apis>` for optimized deep learning operations and ROCm-aware versions of popular
+deep learning frameworks and libraries such as PyTorch, TensorFlow, JAX, and MAGMA. ROCm works closely with these
+frameworks to ensure that framework-specific optimizations take advantage of AMD accelerator and GPU architectures.
+
+The following guides cover installation processes for ROCm-aware deep learning frameworks.
+
+.. grid::
+
+   .. grid-item::
+      :columns: 3
+
+      :doc:`PyTorch for ROCm <rocm-install-on-linux:how-to/3rd-party/pytorch-install>`
+
+   .. grid-item::
+      :columns: 3
+
+      :doc:`TensorFlow for ROCm <rocm-install-on-linux:how-to/3rd-party/tensorflow-install>`
+
+   .. grid-item::
+      :columns: 3
+
+   .. grid-item::
+      :columns: 3
+
+   .. grid-item::
+      :columns: 3
+
+      :doc:`JAX for ROCm <rocm-install-on-linux:how-to/3rd-party/jax-install>`
+
+   .. grid-item::
+      :columns: 3
+
+      :doc:`MAGMA for ROCm <rocm-install-on-linux:how-to/3rd-party/magma-install>`
+
+   .. grid-item::
+      :columns: 3
+
+   .. grid-item::
+      :columns: 3
+
+The following chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
+
+.. image:: ../data/how-to/framework_install_2024_05_23.png
+   :alt: Flowchart for installing ROCm-aware machine learning frameworks
+   :align: center
+
+Find information on version compatibility and framework release notes in :doc:`Third-party support matrix
+<rocm-install-on-linux:reference/3rd-party-support-matrix>`.
+
+.. Learn how to take advantage of your ROCm-aware deep learning environment using the following tutorials.
+..
+..    * :doc:`How to use ROCm for AI <how-to/rocm-for-ai/index>`
+..
+..    * :doc:`How to fine-tune LLMs with ROCm <how-to/fine-tuning-llms/index>`
+..
+
+.. note::
+
+   For guidance on installing ROCm itself, refer to :doc:`ROCm installation for Linux <rocm-install-on-linux:index>`.
+
diff --git a/docs/how-to/tuning-guides.md b/docs/how-to/tuning-guides.md
@@ -1,13 +1,14 @@
 <head>
   <meta charset="UTF-8">
-  <meta name="description" content="Tuning guides">
+  <meta name="description" content="AMD hardware optimization for specific workloads">
   <meta name="keywords" content="high-performance computing, HPC, Instinct accelerators,
   Radeon, tuning, tuning guide, AMD, ROCm">
 </head>
 
-# Tuning guides
+# System optimization
 
-Use case-specific system setup and tuning guides.
+This guide outlines system setup and tuning suggestions for AMD hardware to optimize performance for specific types of
+workloads or use-cases.
 
 ## High-performance computing
 

diff --git a/docs/index.md b/docs/index.md
@@ -37,12 +37,13 @@ Our documentation is organized into the following categories:
 * Windows
   * {doc}`Windows install guide<rocm-install-on-windows:how-to/install>`
   * {doc}`Application deployment guidelines<rocm-install-on-windows:conceptual/deployment-guidelines>`
-* {doc}`Install Docker containers<rocm-install-on-linux:how-to/docker>`
-* {doc}`PyTorch for ROCm<rocm-install-on-linux:how-to/3rd-party/pytorch-install>`
-* {doc}`TensorFlow for ROCm<rocm-install-on-linux:how-to/3rd-party/tensorflow-install>`
-* {doc}`JAX for ROCm<rocm-install-on-linux:how-to/3rd-party/jax-install>`
-* {doc}`MAGMA for ROCm<rocm-install-on-linux:how-to/3rd-party/magma-install>`
-* {doc}`ROCm & Spack<rocm-install-on-linux:how-to/spack>`
+* [Deep learning frameworks](./how-to/deep-learning-rocm.rst)
+  * {doc}`Install Docker containers<rocm-install-on-linux:how-to/docker>`
+  * {doc}`PyTorch for ROCm<rocm-install-on-linux:how-to/3rd-party/pytorch-install>`
+  * {doc}`TensorFlow for ROCm<rocm-install-on-linux:how-to/3rd-party/tensorflow-install>`
+  * {doc}`JAX for ROCm<rocm-install-on-linux:how-to/3rd-party/jax-install>`
+  * {doc}`MAGMA for ROCm<rocm-install-on-linux:how-to/3rd-party/magma-install>`
+  * {doc}`ROCm & Spack<rocm-install-on-linux:how-to/spack>`
 :::
 
 :::{grid-item-card}
@@ -94,7 +95,6 @@ Our documentation is organized into the following categories:
   * [MI100](./how-to/tuning-guides/mi100.md)
   * [MI200](./how-to/tuning-guides/mi200.md)
   * [RDNA2](./how-to/tuning-guides/w6000-v620.md)
-* [Setting up for deep learning with ROCm](./how-to/deep-learning-rocm.md)
 * [GPU-enabled MPI](./how-to/gpu-enabled-mpi.rst)
 * [Using compiler features](./conceptual/compiler-topics.md)
   * [Using AddressSanitizer](./conceptual/using-gpu-sanitizer.md)

diff --git a/docs/sphinx/_toc.yml.in b/docs/sphinx/_toc.yml.in
@@ -22,6 +22,8 @@ subtrees:
     title: ROCm on Linux
   - url: https://rocm.docs.amd.com/projects/install-on-windows/en/${branch}/
     title: HIP SDK on Windows
+  - file: how-to/deep-learning-rocm.md
+    title: Deep learning frameworks
 
 - caption: Compatibility
   entries:
@@ -48,7 +50,7 @@ subtrees:
 - caption: How to
   entries:
   - file: how-to/tuning-guides.md
-    title: Tuning guides
+    title: System optimization
     subtrees:
     - entries:
       - file: how-to/tuning-guides/mi100.md
@@ -57,8 +59,6 @@ subtrees:
         title: MI200
       - file: how-to/tuning-guides/w6000-v620.md
         title: RDNA2
-  - file: how-to/deep-learning-rocm.md
-    title: Deep learning
   - file: how-to/gpu-enabled-mpi.rst
     title: Using MPI
   - file: conceptual/compiler-topics.md