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63 lines
2.9 KiB
ReStructuredText
63 lines
2.9 KiB
ReStructuredText
.. meta::
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:description: How to install ROCm and popular machine learning frameworks.
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:keywords: ROCm, AI, LLM, train, fine-tune, FSDP, DeepSpeed, LLaMA, tutorial
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.. _rocm-for-ai-install:
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***********************************************
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Installing ROCm and machine learning frameworks
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***********************************************
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Before getting started, install ROCm and supported machine learning frameworks.
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.. grid:: 1
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.. grid-item-card:: Pre-install
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Each release of ROCm supports specific hardware and software configurations. Before installing, consult the
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:doc:`System requirements <rocm-install-on-linux:reference/system-requirements>` and
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:doc:`Installation prerequisites <rocm-install-on-linux:install/prerequisites>` guides.
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If you’re new to ROCm, refer to the :doc:`ROCm quick start install guide for Linux
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<rocm-install-on-linux:install/quick-start>`.
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If you’re using a Radeon GPU for graphics-accelerated applications, refer to the
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`Radeon installation instructions <https://rocm.docs.amd.com/projects/radeon/en/docs-6.1.3/docs/install/native_linux/install-radeon.html>`_.
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ROCm supports multiple :doc:`installation methods <rocm-install-on-linux:install/install-overview>`:
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* :doc:`Using your Linux distribution's package manager <rocm-install-on-linux:install/install-methods/package-manager-index>`
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* :doc:`Using the AMDGPU installer <rocm-install-on-linux:install/amdgpu-install>`
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* :ref:`Multi-version installation <rocm-install-on-linux:installation-types>`.
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.. grid:: 1
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.. grid-item-card:: Post-install
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Follow the :doc:`post-installation instructions <rocm-install-on-linux:install/post-install>` to
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configure your system linker, PATH, and verify the installation.
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If you encounter any issues during installation, refer to the
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:doc:`Installation troubleshooting <rocm-install-on-linux:reference/install-faq>` guide.
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Machine learning frameworks
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===========================
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ROCm supports popular machine learning frameworks and libraries including `PyTorch
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<https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package>`_, `TensorFlow
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<https://tensorflow.org>`_, `JAX <https://jax.readthedocs.io/en/latest>`_, and `DeepSpeed
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<https://cloudblogs.microsoft.com/opensource/2022/03/21/supporting-efficient-large-model-training-on-amd-instinct-gpus-with-deepspeed/>`_.
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Review the framework installation documentation. For ease-of-use, it's recommended to use official ROCm prebuilt Docker
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images with the framework pre-installed.
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* :doc:`PyTorch for ROCm <rocm-install-on-linux:install/3rd-party/pytorch-install>`
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* :doc:`TensorFlow for ROCm <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
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* :doc:`JAX for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
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The sections that follow in :doc:`Training a model <../training/train-a-model>` are geared for a ROCm with PyTorch installation.
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