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ROCm/README.md
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Co-authored-by: Saad Rahim <44449863+saadrahim@users.noreply.github.com>
2023-08-17 08:44:51 -06:00

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# AMD ROCm™ Platform
ROCm is an open-source stack for GPU computation. ROCm is primarily Open-Source
Software (OSS) that allows developers the freedom to customize and tailor their
GPU software for their own needs while collaborating with a community of other
developers, and helping each other find solutions in an agile, flexible, rapid,
and secure manner.
ROCm is a collection of drivers, development tools and APIs enabling GPU
programming from the low-level kernel to end-user applications.
ROCm is powered by AMDs Heterogeneous-computing Interface for Portability (HIP),
an OSS C++ GPU programming environment and its corresponding runtime.
HIP allows ROCm developers to create portable applications on different platforms
by deploying code on a range of platforms, from dedicated gaming GPUs to exascale
High Performance Computing (HPC) clusters.
ROCm supports programming models such as OpenMP and OpenCL,
and includes all the necessary OSS compilers, debuggers, and libraries.
ROCm is fully integrated into ML frameworks such as PyTorch and TensorFlow. ROCm can be
deployed in many ways, including through the use of containers such as Docker,
Spack, and your own build from source.
ROCms goal is to allow our users to maximize their GPU hardware investment.
ROCm is designed to help develop, test and deploy GPU accelerated HPC, AI,
scientific computing, CAD, and other applications in a free, open-source,
integrated, and secure software ecosystem.
This repository contains the manifest file for ROCm™ releases, changelogs, and
release information. The file default.xml contains information for all
repositories and the associated commit used to build the current ROCm release.
The default.xml file uses the repo Manifest format.
The develop branch of this repository contains content for the next
ROCm release.
## ROCm Documentation
ROCm Documentation is available online at
[rocm.docs.amd.com](https://rocm.docs.amd.com). Source code for the documentation
is located in the docs folder of most repositories that are part of ROCm.
### How to build documentation via Sphinx
```bash
cd docs
pip3 install -r sphinx/requirements.txt
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
```
## Older ROCm™ Releases
For release information for older ROCm™ releases, refer to
[CHANGELOG](./CHANGELOG.md).