ROCm is an open-source stack, composed primarily of open-source software (OSS), designed for graphics processing unit (GPU) computation. ROCm consists of a collection of drivers, development tools, and APIs that enable GPU programming from low-level kernel to end-user applications.

With ROCm, you can customize your GPU software to meet your specific needs. You can develop, collaborate, test, and deploy your applications in a free, open-source, integrated, and secure software ecosystem. ROCm is particularly well-suited to GPU-accelerated high-performance computing (HPC), artificial intelligence (AI), scientific computing, and computer aided design (CAD).

ROCm is powered by AMD’s 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 HPC clusters.

ROCm supports programming models, such as OpenMP and OpenCL, and includes all necessary OSS compilers, debuggers, and libraries. ROCm is fully integrated into machine learning (ML) frameworks, such as PyTorch and TensorFlow.

The ROCm Documentation site is rocm.docs.amd.com.

Source code for the documentation is located in the docs folder of most repositories that are part of ROCm.

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.

cd docs

pip3 install -r sphinx/requirements.txt

python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html

For release information for older ROCm releases, refer to CHANGELOG.md.