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Author SHA1 Message Date
nelsonc-amd
b2e130a588 Fix llvm and lld 2.3 tags for opencl and hcc (#770) (#771) 2019-04-15 13:01:17 -07:00
192 changed files with 977 additions and 16030 deletions

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.github/CODEOWNERS vendored
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* @saadrahim @Rmalavally @amd-aakash @zhang2amd @jlgreathouse @samjwu @MathiasMagnus

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# To get started with Dependabot version updates, you'll need to specify which
# package ecosystems to update and where the package manifests are located.
# Please see the documentation for all configuration options:
# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
version: 2
updates:
- package-ecosystem: "pip" # See documentation for possible values
directory: "/docs/sphinx" # Location of package manifests
open-pull-requests-limit: 10
schedule:
interval: "daily"

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name: Linting
on:
push:
branches:
- develop
- main
pull_request:
branches:
- develop
- main
concurrency:
group: ${{ github.ref }}-${{ github.workflow }}
cancel-in-progress: true
jobs:
lint-rest:
name: "RestructuredText"
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Install rst-lint
run: pip install restructuredtext-lint
- name: Lint ResT files
run: rst-lint ${{ join(github.workspace, '/docs') }}
lint-md:
name: "Markdown"
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Use markdownlint-cli2
uses: DavidAnson/markdownlint-cli2-action@v10.0.1
with:
globs: '**/*.md'
spelling:
name: "Spelling"
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Fetch config
shell: sh
run: |
curl --silent --show-error --fail --location https://raw.github.com/RadeonOpenCompute/rocm-docs-core/develop/.spellcheck.yaml -O
curl --silent --show-error --fail --location https://raw.github.com/RadeonOpenCompute/rocm-docs-core/develop/.wordlist.txt >> .wordlist.txt
- name: Run spellcheck
uses: rojopolis/spellcheck-github-actions@0.30.0
- name: On fail
if: failure()
run: |
echo "Please check for spelling mistakes or add them to '.wordlist.txt' in either the root of this project or in rocm-docs-core."

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.gitignore vendored
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.venv
.vscode
build
# documentation artifacts
_build/
_images/
_static/
_templates/
_toc.yml
docBin/
_doxygen/
_readthedocs/
# avoid duplicating contributing.md due to conf.py
docs/contributing.md
docs/release.md
docs/CHANGELOG.md

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config:
default: true
MD013: false
MD026:
punctuation: '.,;:!'
MD029:
style: ordered
MD033: false
MD034: false
MD041: false
ignores:
- CHANGELOG.md
- "{,docs/}{RELEASE,release}.md"
- tools/autotag/templates/**/*.md

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# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
version: 2
build:
os: ubuntu-22.04
tools:
python: "3.10"
apt_packages:
- "doxygen"
- "graphviz" # For dot graphs in doxygen
python:
install:
- requirements: docs/sphinx/requirements.txt
sphinx:
configuration: docs/conf.py
formats: []

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# isv_deployment_win
ABI
# gpu_aware_mpi
DMA
GDR
HCA
MPI
MVAPICH
Mellanox's
NIC
OFED
OSU
OpenFabrics
PeerDirect
RDMA
UCX
ib_core
# linear algebra
LAPACK
MMA
backends
cuSOLVER
cuSPARSE
# tuning_guides
BMC
DGEMM
HPCG
HPL
IOPM

File diff suppressed because it is too large Load Diff

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# Contributing to ROCm Docs
AMD values and encourages the ROCm community to contribute to our code and
documentation. This repository is focused on ROCm documentation and this
contribution guide describes the recommend method for creating and modifying our
documentation.
While interacting with ROCm Documentation, we encourage you to be polite and
respectful in your contributions, content or otherwise. Authors, maintainers of
these docs act on good intentions and to the best of their knowledge.
Keep that in mind while you engage. Should you have issues with contributing
itself, refer to
[discussions](https://github.com/RadeonOpenCompute/ROCm/discussions) on the
GitHub repository.
## Supported Formats
Our documentation includes both markdown and rst files. Markdown is encouraged
over rst due to the lower barrier to participation. GitHub flavored markdown is preferred
for all submissions as it will render accurately on our GitHub repositories. For existing documentation,
[MyST](https://myst-parser.readthedocs.io/en/latest/intro.html) markdown
is used to implement certain features unsupported in GitHub markdown. This is
not encouraged for new documentation. AMD will transition
to stricter use of GitHub flavored markdown with a few caveats. ROCm documentation
also uses [sphinx-design](https://sphinx-design.readthedocs.io/en/latest/index.html)
in our markdown and rst files. We also will use breathe syntax for doxygen documentation
in our markdown files. Other design elements for effective HTML rendering of the documents
may be added to our markdown files. Please see
[GitHub](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github)'s
guide on writing and formatting on GitHub as a starting point.
ROCm documentation adds additional requirements to markdown and rst based files
as follows:
- Level one headers are only used for page titles. There must be only one level
1 header per file for both Markdown and Restructured Text.
- Pass [markdownlint](https://github.com/markdownlint/markdownlint) check via
our automated github action on a Pull Request (PR).
## Filenames and folder structure
Please use snake case for file names. Our documentation follows pitchfork for
folder structure. All documentation is in /docs except for special files like
the contributing guide in the / folder. All images used in the documentation are
place in the /docs/data folder.
## How to provide feedback for for ROCm documentation
There are three standard ways to provide feedback for this repository.
### Pull Request
All contributions to ROCm documentation should arrive via the
[GitHub Flow](https://docs.github.com/en/get-started/quickstart/github-flow)
targetting the develop branch of the repository. If you are unable to contribute
via the GitHub Flow, feel free to email us. TODO, confirm email address.
### GitHub Issue
Issues on existing or absent docs can be filed as [GitHub issues
](https://github.com/RadeonOpenCompute/ROCm/issues).
### Email Feedback
## Language and Style
Adopting Microsoft CPP-Docs guidelines for [Voice and Tone
](https://github.com/MicrosoftDocs/cpp-docs/blob/main/styleguide/voice-tone.md).
ROCm documentation templates to be made public shortly. ROCm templates dictate
the recommended structure and flow of the documentation. Guidelines on how to
integrate figures, equations, and tables are all based off
[MyST](https://myst-parser.readthedocs.io/en/latest/intro.html).
Font size and selection, page layout, white space control, and other formatting
details are controlled via rocm-docs-core, sphinx extention. Please raise issues
in rocm-docs-core for any formatting concerns and changes requested.
## Building Documentation
While contributing, one may build the documentation locally on the command-line
or rely on Continuous Integration for previewing the resulting HTML pages in a
browser.
### Command line documentation builds
Python versions known to build documentation:
- 3.8
To build the docs locally using Python Virtual Environment (`venv`), execute the
following commands from the project root:
```sh
python3 -mvenv .venv
# Windows
.venv/Scripts/python -m pip install -r docs/sphinx/requirements.txt
.venv/Scripts/python -m sphinx -T -E -b html -d _build/doctrees -D language=en docs _build/html
# Linux
.venv/bin/python -m pip install -r docs/sphinx/requirements.txt
.venv/bin/python -m sphinx -T -E -b html -d _build/doctrees -D language=en docs _build/html
```
Then open up `_build/html/index.html` in your favorite browser.
### Pull Requests documentation builds
When opening a PR to the `develop` branch on GitHub, the page corresponding to
the PR (`https://github.com/RadeonOpenCompute/ROCm/pull/<pr_number>`) will have
a summary at the bottom. This requires the user be logged in to GitHub.
- There, click `Show all checks` and `Details` of the Read the Docs pipeline. It
will take you to `https://readthedocs.com/projects/advanced-micro-devices-rocm/
builds/<some_build_num>/`
- The list of commands shown are the exact ones used by CI to produce a render
of the documentation.
- There, click on the small blue link `View docs` (which is not the same as the
bigger button with the same text). It will take you to the built HTML site with
a URL of the form `https://
advanced-micro-devices-demo--<pr_number>.com.readthedocs.build/projects/alpha/en
/<pr_number>/`.
### Build the docs using VS Code
One can put together a productive environment to author documentation and also
test it locally using VS Code with only a handful of extensions. Even though the
extension landscape of VS Code is ever changing, here is one example setup that
proved useful at the time of writing. In it, one can change/add content, build a
new version of the docs using a single VS Code Task (or hotkey), see all errors/
warnings emitted by Sphinx in the Problems pane and immediately see the
resulting website show up on a locally serving web server.
#### Configuring VS Code
1. Install the following extensions:
- Python (ms-python.python)
- Live Server (ritwickdey.LiveServer)
2. Add the following entries in `.vscode/settings.json`
```json
{
"liveServer.settings.root": "/.vscode/build/html",
"liveServer.settings.wait": 1000,
"python.terminal.activateEnvInCurrentTerminal": true
}
```
The settings in order are set for the following reasons:
- Sets the root of the output website for live previews. Must be changed
alongside the `tasks.json` command.
- Tells live server to wait with the update to give time for Sphinx to
regenerate site contents and not refresh before all is don. (Empirical value)
- Automatic virtual env activation is a nice touch, should you want to build
the site from the integrated terminal.
3. Add the following tasks in `.vscode/tasks.json`
```json
{
"version": "2.0.0",
"tasks": [
{
"label": "Build Docs",
"type": "process",
"windows": {
"command": "${workspaceFolder}/.venv/Scripts/python.exe"
},
"command": "${workspaceFolder}/.venv/bin/python3",
"args": [
"-m",
"sphinx",
"-j",
"auto",
"-T",
"-b",
"html",
"-d",
"${workspaceFolder}/.vscode/build/doctrees",
"-D",
"language=en",
"${workspaceFolder}/docs",
"${workspaceFolder}/.vscode/build/html"
],
"problemMatcher": [
{
"owner": "sphinx",
"fileLocation": "absolute",
"pattern": {
"regexp": "^(?:.*\\.{3}\\s+)?(\\/[^:]*|[a-zA-Z]:\\\\[^:]*):(\\d+):\\s+(WARNING|ERROR):\\s+(.*)$",
"file": 1,
"line": 2,
"severity": 3,
"message": 4
},
},
{
"owner": "sphinx",
"fileLocation": "absolute",
"pattern": {
"regexp": "^(?:.*\\.{3}\\s+)?(\\/[^:]*|[a-zA-Z]:\\\\[^:]*):{1,2}\\s+(WARNING|ERROR):\\s+(.*)$",
"file": 1,
"severity": 2,
"message": 3
}
}
],
"group": {
"kind": "build",
"isDefault": true
}
},
],
}
```
> (Implementation detail: two problem matchers were needed to be defined,
> because VS Code doesn't tolerate some problem information being potentially
> absent. While a single regex could match all types of errors, if a capture
> group remains empty (the line number doesn't show up in all warning/error
> messages) but the `pattern` references said empty capture group, VS Code
> discards the message completely.)
4. Configure Python virtual environment (venv)
- From the Command Palette, run `Python: Create Environment`
- Select `venv` environment and the `docs/sphinx/requirements.txt` file.
_(Simply pressing enter while hovering over the file from the dropdown is
insufficient, one has to select the radio button with the 'Space' key if
using the keyboard.)_
5. Build the docs
- Launch the default build Task using either:
- a hotkey _(default is 'Ctrl+Shift+B')_ or
- by issuing the `Tasks: Run Build Task` from the Command Palette.
6. Open the live preview
- Navigate to the output of the site within VS Code, right-click on
`.vscode/build/html/index.html` and select `Open with Live Server`. The
contents should update on every rebuild without having to refresh the
browser.
<!-- markdownlint-restore -->

21
LICENSE
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MIT License
Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

751
README.md
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# AMD ROCm™ Platform
## Are You Ready to ROCK?
The ROCm Platform brings a rich foundation to advanced computing by seamlessly integrating the CPU and GPU with the goal of solving real-world problems.
This software enables the high-performance operation of AMD GPUs for computationally oriented tasks in the Linux operating system.
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.
### Current ROCm Version: 2.3
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 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.
- [Hardware Support](#hardware-support)
* [Supported GPUs](#supported-gpus)
* [Supported CPUs](#supported-cpus)
* [Not supported or limited support under ROCm](#not-supported-or-limited-support-under-rocm)
- [New features and enhancements in ROCm 2.3](#new-features-and-enhancements-in-rocm-23)
- [The latest ROCm platform - ROCm 2.3](#the-latest-rocm-platform---rocm-230)
* [Supported Operating Systems](#supported-operating-systems---new-operating-systems-available)
* [ROCm support in upstream Linux kernels](#rocm-support-in-upstream-linux-kernels)
- [Installing from AMD ROCm repositories](#installing-from-amd-rocm-repositories)
* [ROCm Binary Package Structure](#rocm-binary-package-structure)
* [Ubuntu Support - installing from a Debian repository](#ubuntu-support---installing-from-a-debian-repository)
* [CentOS/RHEL 7 (7.4, 7.5, 7.6) Support](#centosrhel-7-74-75-76-support)
- [Known issues / workarounds](#known-issues--workarounds)
- [Closed source components](#closed-source-components)
- [Getting ROCm source code](#getting-rocm-source-code)
* [Installing repo](#installing-repo)
* [Downloading the ROCm source code](#downloading-the-rocm-source-code)
* [Building the ROCm source code](#building-the-rocm-source-code)
- [Deprecation Notice](#deprecation-notice)
- [Final notes](#final-notes)
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.
### Hardware Support
ROCm is focused on using AMD GPUs to accelerate computational tasks such as machine learning, engineering workloads, and scientific computing.
In order to focus our development efforts on these domains of interest, ROCm supports a targeted set of hardware configurations which are detailed further in this section.
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.
#### Supported GPUs
Because the ROCm Platform has a focus on particular computational domains, we offer official support for a selection of AMD GPUs that are designed to offer good performance and price in these domains.
The default.xml file uses the repo Manifest format.
ROCm officially supports AMD GPUs that use following chips:
The develop branch of this repository contains content for the next
ROCm release.
* GFX8 GPUs
* "Fiji" chips, such as on the AMD Radeon R9 Fury X and Radeon Instinct MI8
* "Polaris 10" chips, such as on the AMD Radeon RX 580 and Radeon Instinct MI6
* "Polaris 11" chips, such as on the AMD Radeon RX 570 and Radeon Pro WX 4100
* "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
* GFX9 GPUs
* "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
* "Vega 7nm" chips, such as the AMD Radeon VII
## ROCm Documentation
ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
Some of this software may work with more GPUs than the "officially supported" list above, though AMD does not make any official claims of support for these devices on the ROCm software platform.
The following list of GPUs are enabled in the ROCm software, though full support is not guaranteed:
ROCm Documentation is available online at
[rocm.docs.amd.com](https://rocm.docs.amd.com). Source code for the documenation
is located in the docs folder of most repositories that are part of ROCm.
* GFX7 GPUs
* "Hawaii" chips, such as the AMD Radeon R9 390X and FirePro W9100
### How to build documentation via Sphinx
As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) with support for PCIe atomics. This requires both CPU and motherboard support. GFX9 GPUs, by default, also require PCIe 3.0 with support for PCIe atomics, but they can operate in most cases without this capability.
```bash
cd docs
At this time, the integrated GPUs in AMD APUs are not officially supported targets for ROCm.
As descried [below](#limited-support), "Carrizo", "Bristol Ridge", and "Raven Ridge" APUs are enabled in our upstream drivers and the ROCm OpenCL runtime.
However, they are not enabled in our HCC or HIP runtimes, and may not work due to motherboard or OEM hardware limitations.
As such, they are not yet officially supported targets for ROCm.
pip3 install -r sphinx/requirements.txt
For a more detailed list of hardware support, please see [the following documentation](https://rocm.github.io/hardware.html).
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
#### Supported CPUs
As described above, GFX8 GPUs require PCIe 3.0 with PCIe atomics in order to run ROCm.
In particular, the CPU and every active PCIe point between the CPU and GPU require support for PCIe 3.0 and PCIe atomics.
The CPU root must indicate PCIe AtomicOp Completion capabilities and any intermediate switch must indicate PCIe AtomicOp Routing capabilities.
Current CPUs which support PCIe Gen3 + PCIe Atomics are:
* AMD Ryzen CPUs;
* The CPUs in AMD Ryzen APUs;
* AMD Ryzen Threadripper CPUs
* AMD EPYC CPUs;
* Intel Xeon E7 v3 or newer CPUs;
* Intel Xeon E5 v3 or newer CPUs;
* Intel Xeon E3 v3 or newer CPUs;
* Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer).
* Some Ivy Bridge-E systems
Beginning with ROCm 1.8, GFX9 GPUs (such as Vega 10) no longer require PCIe atomics.
We have similarly opened up more options for number of PCIe lanes.
GFX9 GPUs can now be run on CPUs without PCIe atomics and on older PCIe generations, such as PCIe 2.0.
This is not supported on GPUs below GFX9, e.g. GFX8 cards in the Fiji and Polaris families.
If you are using any PCIe switches in your system, please note that PCIe Atomics are only supported on some switches, such as Broadcom PLX.
When you install your GPUs, make sure you install them in a PCIe 3.0 x16, x8, x4, or x1 slot attached either directly to the CPU's Root I/O controller or via a PCIe switch directly attached to the CPU's Root I/O controller.
In our experience, many issues stem from trying to use consumer motherboards which provide physical x16 connectors that are electrically connected as e.g. PCIe 2.0 x4, PCIe slots connected via the Southbridge PCIe I/O controller, or PCIe slots connected through a PCIe switch that does
not support PCIe atomics.
If you attempt to run ROCm on a system without proper PCIe atomic support, you may see an error in the kernel log (`dmesg`):
```
kfd: skipped device 1002:7300, PCI rejects atomics
```
## Older ROCm™ Releases
Experimental support for our Hawaii (GFX7) GPUs (Radeon R9 290, R9 390, FirePro W9100, S9150, S9170)
does not require or take advantage of PCIe Atomics. However, we still recommend that you use a CPU
from the list provided above for compatibility purposes.
For release information for older ROCm™ releases, refer to
[CHANGELOG](./CHANGELOG.md).
#### Not supported or limited support under ROCm
##### Limited support
* ROCm 2.3.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
* Thunderbolt 1, 2, and 3 enabled breakout boxes should now be able to work with ROCm. Thunderbolt 1 and 2 are PCIe 2.0 based, and thus are only supported with GPUs that do not require PCIe 3.0 atomics (e.g. Vega 10). However, we have done no testing on this configuration and would need community support due to limited access to this type of equipment.
* AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
* As of ROCm 2.1, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
* In addition, various "Carrizo" and "Bristol Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
* Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
* AMD "Raven Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
* As of ROCm 2.1, "Raven Ridge" requires the use of upstream kernel drivers.
* In addition, various "Raven Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
* Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
##### Not supported
* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.3.x
* We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe 3.0 with PCIe atomics.
* As such, we do not support AMD Carrizo and Kaveri APUs as hosts for such GPUs.
* Thunderbolt 1 and 2 enabled GPUs are not supported by GFX8 GPUs on ROCm. Thunderbolt 1 & 2 are based on PCIe 2.0.
### New features and enhancements in ROCm 2.3
#### Mem usage per GPU
Per GPU memory usage is added to rocm-smi.
Display information regarding used/total bytes for VRAM, visible VRAM and GTT, via the --showmeminfo flag
#### MIVisionX, v1.1 - ONNX
ONNX parser changes to adjust to new file formats
#### MIGraphX, v0.2
MIGraphX 0.2 supports the following new features:
* New Python API
* Support for additional ONNX operators and fixes that now enable a large set of Imagenet models
* Support for RNN Operators
* Support for multi-stream Execution
* [Experimental] Support for Tensorflow frozen protobuf files
See: [Getting-started:-using-the-new-features-of-MIGraphX-0.2](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.2) for more details
#### MIOpen, v1.8 - 3d convolutions and int8
* This release contains full 3-D convolution support and int8 support for inference.
* Additionally, there are major updates in the performance database for major models including those found in Torchvision.
See: [MIOpen releases](https://github.com/ROCmSoftwarePlatform/MIOpen/releases)
#### Caffe2 - mGPU support
Multi-gpu support is enabled for Caffe2.
#### rocTracer library, ROCm tracing API for collecting runtimes API and asynchronous GPU activity traces
HIP/HCC domains support is introduced in rocTracer library.
#### BLAS - Int8 GEMM performance, Int8 functional and performance
Introduces support and performance optimizations for Int8 GEMM, implements TRSV support, and includes improvements and optimizations with Tensile.
#### Prioritized L1/L2/L3 BLAS (functional)
Functional implementation of BLAS L1/L2/L3 functions
#### BLAS - tensile optimization
Improvements and optimizations with tensile
#### MIOpen Int8 support
Support for int8
Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
### The latest ROCm platform - ROCm 2.3
The latest supported version of the drivers, tools, libraries and source code for the ROCm platform have been released and are available from the following GitHub repositories:
* ROCm Core Components
- [ROCk Kernel Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-2.3.0)
- [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/84443a1)
- [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.3.0)
* ROCm Support Software
- [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.3.0)
- [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/ac45c6e2)
- [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/1bb0ccc7)
- [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.3.0)
* ROCm Development Tools
- [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.3.0)
- [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.3.0)
- [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.3.0)
- ROCm OpenCL, which is created from the following components:
- [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.3.0)
- [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.3.0)
- The ROCm OpenCL compiler, which is created from the following components:
- [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.3.0)
- [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.3.0)
- [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.3.0)
- [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.3.0)
- [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.3.0)
- [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.3.0)
- [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.3.0)
- [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
- [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.3.0)
- [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.3.0)
- [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.3.x)
- [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.3.x)
- [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/a31fe682)
- Example Applications:
- [HCC Examples](https://github.com/ROCm-Developer-Tools/HCC-Example-Application/tree/ffd65333)
- [HIP Examples](https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/roc-2.3.0)
* ROCm Libraries
- [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/master-rocm-2.3)
- [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/master-rocm-2.3)
- [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/master-rocm-2.3)
- [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.3)
- [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.3)
- [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.3)
- [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.3)
- [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
- [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/roc-2.3.0)
- [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/master-rocm-2.3)
- [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.3.0)
- [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/master-rocm-2.3)
- [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/8ec8732)
- [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
#### Supported Operating Systems - New operating systems available
The ROCm 2.2.x platform supports the following operating systems:
* Ubuntu 16.04.x, 18.04.1 and 18.04.2 (Version 16.04.3 and newer or kernels 4.13-4.15)
* CentOS 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
* RHEL 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
#### ROCm support in upstream Linux kernels
As of ROCm 1.9.0, the ROCm user-level software is compatible with the AMD drivers in certain upstream Linux kernels.
As such, users have the option of either using the ROCK kernel driver that are part of AMD's ROCm repositories or using the upstream driver and only installing ROCm user-level utilities from AMD's ROCm repositories.
These releases of the upstream Linux kernel support the following GPUs in ROCm:
* 4.17: Fiji, Polaris 10, Polaris 11
* 4.18: Fiji, Polaris 10, Polaris 11, Vega10
* 4.20: Fiji, Polaris 10, Polaris 11, Vega10, Vega 7nm
The upstream driver may be useful for running ROCm software on systems that are not compatible with the kernel driver available in AMD's repositories.
For users that have the option of using either AMD's or the upstreamed driver, there are various tradeoffs to take into consideration:
| | Using AMD's `rock-dkms` package | Using the upstream kernel driver |
| ---- | ------------------------------------------------------------| ----- |
| Pros | More GPU features, and they are enabled earlier | Includes the latest Linux kernel features |
| | Tested by AMD on supported distributions | May work on other distributions and with custom kernels |
| | Supported GPUs enabled regardless of kernel version | |
| | Includes the latest GPU firmware | |
| Cons | May not work on all Linux distributions or versions | Features and hardware support varies depending on kernel version |
| | Not currently supported on kernels newer than 4.18 | Limits GPU's usage of system memory to 3/8 of system memory |
| | | IPC and RDMA capabilities are not yet enabled |
| | | Not tested by AMD to the same level as `rock-dkms` package |
| | | Does not include most up-to-date firmware |
### Installing from AMD ROCm repositories
AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.3.x packages at this time.
The packages in the Debian repository have been signed to ensure package integrity.
#### ROCm Binary Package Structure
ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
In AMD's package distributions, these software projects are provided as a separate packages.
This allows users to install only the packages they need, if they do not wish to install all of ROCm.
These packages will install most of the ROCm software into `/opt/rocm/` by default.
The packages for each of the major ROCm components are:
* ROCm Core Components
- ROCk Kernel Driver: `rock-dkms`
- ROCr Runtime: `hsa-rocr-dev`, `hsa-ext-rocr-dev`
- ROCt Thunk Interface: `hsakmt-roct`, `hsakmt-roct-dev`
* ROCm Support Software
- ROCm SMI: `rocm-smi`
- ROCm cmake: `rocm-cmake`
- rocminfo: `rocminfo`
- ROCm Bandwidth Test: `rocm_bandwidth_test`
* ROCm Development Tools
- HCC compiler: `hcc`
- HIP: `hip_base`, `hip_doc`, `hip_hcc`, `hip_samples`
- ROCm Device Libraries: `rocm-device-libs`
- ROCm OpenCL: `rocm-opencl`, `rocm-opencl-devel` (on RHEL/CentOS), `rocm-opencl-dev` (on Ubuntu)
- ROCM Clang-OCL Kernel Compiler: `rocm-clang-ocl`
- Asynchronous Task and Memory Interface (ATMI): `atmi`
- ROCr Debug Agent: `rocr_debug_agent`
- ROCm Code Object Manager: `comgr`
- ROC Profiler: `rocprofiler-dev`
- ROC Tracer: `roctracer-dev`
- Radeon Compute Profiler: `rocm-profiler`
* ROCm Libraries
- rocBLAS: `rocblas`
- hipBLAS: `hipblas`
- rocFFT: `rocfft`
- rocRAND: `rocrand`
- rocSPARSE: `rocsparse`
- hipSPARSE: `hipsparse`
- rocALUTION: `rocalution:`
- MIOpenGEMM: `miopengemm`
- MIOpen: `MIOpen-HIP` (for the HIP version), `MIOpen-OpenCL` (for the OpenCL version)
- HIP Thrust: `thrust` (on RHEL/CentOS), `hip-thrust` (on Ubuntu)
- ROCm SMI Lib: `rocm_smi_lib64`
- RCCL: `rccl`
- MIVisionX: `mivisionx`
- CUB HIP: `cub-hip`
To make it easier to install ROCm, the AMD binary repos provide a number of meta-packages that will automatically install multiple other packages.
For example, `rocm-dkms` is the primary meta-package that is used to install most of the base technology needed for ROCm to operate.
It will install the `rock-dkms` kernel driver, and another meta-package (`rocm-dev`) which installs most of the user-land ROCm core components, support software, and development tools.
The `rocm-utils` meta-package will install useful utilities that, while not required for ROCm to operate, may still be beneficial to have.
Finally, the `rocm-libs` meta-package will install some (but not all) of the libraries that are part of ROCm.
The chain of software installed by these meta-packages is illustrated below
```
rocm-dkms
|-- rock-dkms
\-- rocm-dev
|--hsa-rocr-dev
|--hsa-ext-rocr-dev
|--rocm-device-libs
|--rocm-utils
|-- rocminfo
|-- rocm-cmake
\-- rocm-clang-ocl # This will cause OpenCL to be installed
|--hcc
|--hip_base
|--hip_doc
|--hip_hcc
|--hip_samples
|--rocm-smi
|--hsakmt-roct
|--hsakmt-roct-dev
|--hsa-amd-aqlprofile
|--comgr
\--rocr_debug_agent
rocm-libs
|-- rocblas
|-- rocfft
|-- rocrand
\-- hipblas
```
These meta-packages are not required but may be useful to make it easier to install ROCm on most systems.
Some users may want to skip certain packages. For instance, a user that wants to use the upstream kernel drivers (rather than those supplied by AMD) may want to skip the `rocm-dkms` and `rock-dkms` packages, and instead directly install `rocm-dev`.
Similarly, a user that only wants to install OpenCL support instead of HCC and HIP may want to skip the `rocm-dkms` and `rocm-dev` packages.
Instead, they could directly install `rock-dkms`, `rocm-opencl`, and `rocm-opencl-dev` and their dependencies.
#### Ubuntu Support - installing from a Debian repository
The following directions show how to install ROCm on supported Debian-based systems such as Ubuntu 18.04.
These directions may not work as written on unsupported Debian-based distributions.
For example, newer versions of Ubuntu may not be compatible with the `rock-dkms` kernel driver.
As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-debian-based-rocm-with-upstream-kernel-drivers).
##### First make sure your system is up to date
```shell
sudo apt update
sudo apt dist-upgrade
sudo apt install libnuma-dev
sudo reboot
```
##### Add the ROCm apt repository
For Debian-based systems like Ubuntu, configure the Debian ROCm repository as
follows:
```shell
wget -qO - http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | sudo apt-key add -
echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main' | sudo tee /etc/apt/sources.list.d/rocm.list
```
The gpg key might change, so it may need to be updated when installing a new release.
If the key signature verification is failed while update, please re-add the key from
ROCm apt repository. The current rocm.gpg.key is not available in a standard key ring
distribution, but has the following sha1sum hash:
`f7f8147431c75e505c58a6f3a3548510869357a6 rocm.gpg.key`
##### Install
Next, update the apt repository list and install the `rocm-dkms` meta-package:
```shell
sudo apt update
sudo apt install rocm-dkms
```
##### Next set your permissions
Users will need to be in the `video` group in order to have access to the GPU.
As such, you should ensure that your user account is a member of the `video` group prior to using ROCm.
You can find which groups you are a member of with the following command:
```shell
groups
```
To add yourself to the video group you will need the sudo password and can use the following command:
```shell
sudo usermod -a -G video $LOGNAME
```
You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
```shell
echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
```
Once complete, reboot your system.
##### Test basic ROCm installation
After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
```shell
/opt/rocm/bin/rocminfo
/opt/rocm/opencl/bin/x86_64/clinfo
```
Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
```shell
echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
```
If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
##### Performing an OpenCL-only Installation of ROCm
Some users may want to install a subset of the full ROCm installation.
In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
```shell
sudo apt-get install dkms rock-dkms rocm-opencl-dev
```
##### How to uninstall from Ubuntu 16.04 or Ubuntu 18.04
To uninstall the ROCm packages installed in the above directions, you can execute;
```shell
sudo apt autoremove rocm-dkms rocm-dev rocm-utils
```
##### Installing development packages for cross compilation
It is often useful to develop and test on different systems.
For example, some development or build systems may not have an AMD GPU installed.
In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.
In this case, install the development subset of packages:
```shell
sudo apt update
sudo apt install rocm-dev
```
>**Note:** To execute ROCm enabled apps you will require a system with the full
>ROCm driver stack installed
##### Using Debian-based ROCm with upstream kernel drivers
As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), users may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`
```shell
sudo apt update
sudo apt install rocm-dev
echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
```
#### CentOS/RHEL 7 (7.4, 7.5, 7.6) Support
The following directions show how to install ROCm on supported RPM-based systems such as CentOS 7.6.
These directions may not work as written on unsupported RPM-based distributions.
For example, Fedora may work but may not be compatible with the `rock-dkms` kernel driver.
As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-rpm-based-rocm-with-upstream-kernel-drivers).
Support for CentOS/RHEL 7 was added in ROCm 1.8, but ROCm requires a special
runtime environment provided by the RHEL Software Collections and additional
dkms support packages to properly install and run.
##### Preparing RHEL 7 (7.4, 7.5, 7.6) for installation
RHEL is a subscription-based operating system, and you must enable several external
repositories to enable installation of the devtoolset-7 environment and the DKMS
support files. These steps are not required for CentOS.
First, the subscription for RHEL must be enabled and attached to a pool id. Please
see Obtaining an RHEL image and license page for instructions on registering your
system with the RHEL subscription server and attaching to a pool id.
Second, enable the following repositories:
```shell
sudo subscription-manager repos --enable rhel-server-rhscl-7-rpms
sudo subscription-manager repos --enable rhel-7-server-optional-rpms
sudo subscription-manager repos --enable rhel-7-server-extras-rpms
```
Third, enable additional repositories by downloading and installing the epel-release-latest-7 repository RPM:
```shell
sudo rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
```
##### Install and setup Devtoolset-7
To setup the Devtoolset-7 environment, follow the instructions on this page:
https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
Note that devtoolset-7 is a Software Collections package, and it is not supported by AMD.
##### Prepare CentOS/RHEL (7.4, 7.5, 7.6) for DKMS Install
Installing kernel drivers on CentOS/RHEL 7.4/7.5/7.6 requires dkms tool being installed:
```shell
sudo yum install -y epel-release
sudo yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
```
##### Installing ROCm on the system
It is recommended to [remove previous ROCm installations](https://github.com/RadeonOpenCompute/ROCm#how-to-uninstall-rocm-from-centosrhel-74-75-and-76) before installing the latest version to ensure a smooth installation.
At this point ROCm can be installed on the target system. Create a /etc/yum.repos.d/rocm.repo file with the following contents:
```shell
[ROCm]
name=ROCm
baseurl=http://repo.radeon.com/rocm/yum/rpm
enabled=1
gpgcheck=0
```
The repo's URL should point to the location of the repositories repodata database. Install ROCm components using these commands:
```shell
sudo yum install rocm-dkms
```
The rock-dkms component should be installed and the `/dev/kfd` device should be available on reboot.
##### Set up permissions
Ensure that your user account is a member of the "video" or "wheel" group prior to using the ROCm driver.
You can find which groups you are a member of with the following command:
```shell
groups
```
To add yourself to the video (or wheel) group you will need the sudo password and can use the
following command:
```shell
sudo usermod -a -G video $LOGNAME
```
You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
```shell
echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
```
Current release supports CentOS/RHEL 7.4, 7.5, 7.6. If users want to update the OS version, they should completely remove ROCm packages before updating to the latest version of the OS, to avoid DKMS related issues.
Once complete, reboot your system.
###### Test basic ROCm installation
After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
```shell
/opt/rocm/bin/rocminfo
/opt/rocm/opencl/bin/x86_64/clinfo
```
Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
```shell
echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
```
If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
###### Performing an OpenCL-only Installation of ROCm
Some users may want to install a subset of the full ROCm installation.
In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
```shell
sudo yum install rock-dkms rocm-opencl-devel
```
##### Compiling applications using HCC, HIP, and other ROCm software
To compile applications or samples, please use gcc-7.2 provided by the devtoolset-7 environment.
To do this, compile all applications after running this command:
```shell
scl enable devtoolset-7 bash
```
##### How to uninstall ROCm from CentOS/RHEL 7.4, 7.5 and 7.6
To uninstall the ROCm packages installed by the above directions, you can execute:
```shell
sudo yum autoremove rocm-dkms rock-dkms
```
##### Installing development packages for cross compilation
It is often useful to develop and test on different systems.
For example, some development or build systems may not have an AMD GPU installed.
In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.
In this case, install the development subset of packages:
```shell
sudo yum install rocm-dev
```
>**Note:** To execute ROCm enabled apps you will require a system with the full
>ROCm driver stack installed
##### Using ROCm with upstream kernel drivers
As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), use
rs may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`
```shell
sudo yum install rocm-dev
echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
```
### Known issues / workarounds
#### Rocprim
"Memory access fault" observed with rocprim.hip.device.scan
#### HPL
HPL fails to run in higher problem size (85000 Ns)
#### Resnet50
Multi-GPU resnet50 training using the caffe2 framework will cause a hardhang with a console message:
kfd2kgd: amdgpu_amdkfd_restore_userptr_worker: Failed to resume KFD
#### Caffe2
Caffe2 images/sec drops 40% when 4 processes simultaneously run it, each using one GPU
#### Thrust
functions zip_iterator.out and copy.out are not working as expected
thrust exclusive_scan produces incorrect results when running on thrust device
#### Tensor flow
observed memory access fault while running SAGAN tensor flow model in Polaris based ASIC
### Closed source components
The ROCm platform relies on a few closed source components to provide functionality
such as HSA image support. These components are only available through the ROCm
repositories, and they will either be deprecated or become open source components in the
future. These components are made available in the following packages:
* hsa-ext-rocr-dev
### Getting ROCm source code
ROCm is built from open source software.
As such, it is possible to make modifications to the various components of ROCm by downloading the source code, making modifications to it, and rebuilding the components.
The source code for ROCm components can be cloned from each of the GitHub repositories using git.
In order to make it easier to download the correct versions of each of these tools, this ROCm repository contains a [repo](https://gerrit.googlesource.com/git-repo/) manifest file, [default.xml](default.xml).
Interested users can thus use this manifest file to download the source code for all of the ROCm software.
#### Installing repo
Google's repo tool allows you to manage multiple git repositories simultaneously.
You can install it by executing the following example commands:
```shell
mkdir -p ~/bin/
curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
chmod a+x ~/bin/repo
```
Note that you can choose a different folder to install repo into if you desire. `~/bin/` is simply used as an example.
#### Downloading the ROCm source code
The following example shows how to use the `repo` binary downloaded above to download all of the ROCm source code.
If you chose a directory other than `~/bin/` to install `repo`, you should use that directory below.
```shell
mkdir -p ~/ROCm/
cd ~/ROCm/
~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.3.0
repo sync
```
This will cause repo to download all of the open source code associated with this ROCm release.
You may want to ensure that you have ssh-keys configured on your machine for your GitHub ID.
#### Building the ROCm source code
Each ROCm component repository contains directions for building that component.
As such, you should go to the repository you are interested in building to find how to build it.
That said, AMD also offers [a project](https://github.com/RadeonOpenCompute/Experimental_ROC) that demonstrates how to download, build, package, and install ROCm software on various distributions.
The scripts here may be useful for anyone looking to build ROCm components.
### Deprecation Notice - HCC
AMD is deprecating HCC to put more focus on HIP development and on
other languages supporting heterogeneous compute. We will no longer
develop any new feature in HCC and we will stop maintaining HCC after
its final release, which is planned for June 2019. If your
application was developed with the hc C++ API, we would encourage you
to transition it to other languages supported by AMD, such as HIP or
OpenCL. HIP and hc language share the same compiler technology, so
many hc kernel language features (including inline assembly) are also
available through the HIP compilation path.
### Final notes
* OpenCL Runtime and Compiler will be submitted to the Khronos Group for conformance testing prior to its final release.

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# Release Notes
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The release notes for the ROCm platform.
-------------------
## ROCm 5.1.1
### Library Changes in ROCM 5.1.1
| Library | Version |
|---------|---------|
| hipBLAS | [0.50.0](https://github.com/ROCmSoftwarePlatform/hipBLAS/releases/tag/rocm-5.1.1) |
| hipCUB | [2.11.0](https://github.com/ROCmSoftwarePlatform/hipCUB/releases/tag/rocm-5.1.1) |
| hipFFT | [1.0.7](https://github.com/ROCmSoftwarePlatform/hipFFT/releases/tag/rocm-5.1.1) |
| hipSOLVER | [1.3.0](https://github.com/ROCmSoftwarePlatform/hipSOLVER/releases/tag/rocm-5.1.1) |
| hipSPARSE | [2.1.0](https://github.com/ROCmSoftwarePlatform/hipSPARSE/releases/tag/rocm-5.1.1) |
| rccl | [2.11.4](https://github.com/ROCmSoftwarePlatform/rccl/releases/tag/rocm-5.1.1) |
| rocALUTION | [2.0.2](https://github.com/ROCmSoftwarePlatform/rocALUTION/releases/tag/rocm-5.1.1) |
| rocBLAS | [2.43.0](https://github.com/ROCmSoftwarePlatform/rocBLAS/releases/tag/rocm-5.1.1) |
| rocFFT | [1.0.16](https://github.com/ROCmSoftwarePlatform/rocFFT/releases/tag/rocm-5.1.1) |
| rocPRIM | [2.10.13](https://github.com/ROCmSoftwarePlatform/rocPRIM/releases/tag/rocm-5.1.1) |
| rocRAND | [2.10.13](https://github.com/ROCmSoftwarePlatform/rocRAND/releases/tag/rocm-5.1.1) |
| rocSOLVER | [3.17.0](https://github.com/ROCmSoftwarePlatform/rocSOLVER/releases/tag/rocm-5.1.1) |
| rocSPARSE | [2.1.0](https://github.com/ROCmSoftwarePlatform/rocSPARSE/releases/tag/rocm-5.1.1) |
| rocThrust | [2.14.0](https://github.com/ROCmSoftwarePlatform/rocThrust/releases/tag/rocm-5.1.1) |
| Tensile | [4.32.0](https://github.com/ROCmSoftwarePlatform/Tensile/releases/tag/rocm-5.1.1) |

View File

@@ -1,79 +1,73 @@
<?xml version="1.0" encoding="UTF-8"?>
<manifest>
<remote name="roc-github"
fetch="https://github.com/RadeonOpenCompute/" />
fetch="http://github.com/RadeonOpenCompute/" />
<remote name="rocm-devtools"
fetch="https://github.com/ROCm-Developer-Tools/" />
fetch="https://github.com/ROCm-Developer-Tools/" />
<remote name="rocm-swplat"
fetch="https://github.com/ROCmSoftwarePlatform/" />
fetch="https://github.com/ROCmSoftwarePlatform/" />
<remote name="gpuopen-libs"
fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
<remote name="gpuopen-tools"
fetch="https://github.com/GPUOpen-Tools/" />
<remote name="KhronosGroup"
fetch="https://github.com/KhronosGroup/" />
<default revision="refs/tags/rocm-5.5.1"
remote="roc-github"
sync-c="true"
sync-j="4" />
<!--list of projects for ROCM-->
fetch="https://github.com/GPUOpen-Tools/" />
<default revision="refs/tags/roc-2.3.0"
remote="roc-github"
sync-c="true"
sync-j="4" />
<project name="ROCK-Kernel-Driver" />
<project name="ROCT-Thunk-Interface" />
<project name="ROCR-Runtime" />
<project name="rocm_smi_lib" />
<project name="rocm-core" />
<project name="rocm-cmake" />
<project name="rocminfo" />
<project name="ROC-smi" />
<project name="rocm-cmake" revision="ac45c6e269d1fd1dbd5dfc81cfe47a7452c96daf" />
<project name="rocminfo" revision="1bb0ccc731f772bb1a553e37b41d06eb0a684926" />
<project name="rocprofiler" remote="rocm-devtools" />
<project name="roctracer" remote="rocm-devtools" />
<!-- If you want to get the full OpenCL runtime, there is a separate repo
manifest that is more authoritative than the copy in this file. It can
be found at the following URL:
https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/blob/roc-2.0.0/opencl.xml -->
<remote name="KhronosGroup" fetch="https://github.com/KhronosGroup/" />
<project name="ROCm-OpenCL-Runtime" />
<project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="6c03f8b58fafd9dd693eaac826749a5cfad515f8" />
<project path="ROCm-OpenCL-Runtime/compiler/driver" name="ROCm-OpenCL-Driver"/>
<project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" revision="refs/tags/roc-ocl-2.3.0" />
<project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
<project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" revision="refs/tags/roc-ocl-2.3.0" />
<project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs"/>
<project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="261c1288aadd9dcc4637aca08332f603e6c13715" />
<project name="clang-ocl" />
<!--HIP Projects-->
<!-- HCC needs to be recursively synced to get it submodules -->
<project name="hcc" sync-s="true" />
<project name="HCC-Example-Application" remote="rocm-devtools" revision="ffd6533305e79eed667badd3c4cdb7879a1281b8" />
<project name="HIP" remote="rocm-devtools" />
<project name="hipamd" remote="rocm-devtools" />
<project name="HIP-Examples" remote="rocm-devtools" />
<project name="ROCclr" remote="rocm-devtools" />
<project name="HIPIFY" remote="rocm-devtools" />
<project name="HIPCC" remote="rocm-devtools" />
<!-- The following projects are all associated with the AMDGPU LLVM compiler -->
<project name="llvm-project" />
<!-- The following projects are all associated with the AMDGPU LLVM compiler -->
<project name="llvm" path="llvm_amd-common" revision="refs/tags/roc-hcc-2.3.0" />
<project name="lld" path="llvm_amd-common/lld" revision="refs/tags/roc-hcc-2.3.0" />
<project name="clang" path="llvm_amd-common/clang" />
<project name="ROCm-Device-Libs" />
<project name="atmi" />
<project name="atmi" revision="4dd14ad8fafc64dc8f35b0646cfe84e3e36a3c64" />
<project name="ROCm-CompilerSupport" />
<project name="rocr_debug_agent" remote="rocm-devtools" />
<project name="rocm_bandwidth_test" />
<project name="half" remote="rocm-swplat" revision="37742ce15b76b44e4b271c1e66d13d2fa7bd003e" />
<project name="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
<!-- gdb projects -->
<project name="ROCgdb" remote="rocm-devtools" />
<project name="ROCdbgapi" remote="rocm-devtools" />
<!-- ROCm Libraries -->
<project name="rdc" />
<project groups="mathlibs" name="rocBLAS" remote="rocm-swplat" />
<project groups="mathlibs" name="Tensile" remote="rocm-swplat" />
<project groups="mathlibs" name="hipBLAS" remote="rocm-swplat" />
<project groups="mathlibs" name="rocFFT" remote="rocm-swplat" />
<project groups="mathlibs" name="hipFFT" remote="rocm-swplat" />
<project groups="mathlibs" name="rocRAND" remote="rocm-swplat" />
<project groups="mathlibs" name="rocSPARSE" remote="rocm-swplat" />
<project groups="mathlibs" name="rocSOLVER" remote="rocm-swplat" />
<project groups="mathlibs" name="hipSOLVER" remote="rocm-swplat" />
<project groups="mathlibs" name="hipSPARSE" remote="rocm-swplat" />
<project groups="mathlibs" name="rocALUTION" remote="rocm-swplat" />
<project name="MIOpenGEMM" remote="rocm-swplat" />
<project name="MIOpen" remote="rocm-swplat" />
<project groups="mathlibs" name="rccl" remote="rocm-swplat" />
<project name="MIVisionX" remote="gpuopen-libs" />
<project groups="mathlibs" name="rocThrust" remote="rocm-swplat" />
<project groups="mathlibs" name="hipCUB" remote="rocm-swplat" />
<project groups="mathlibs" name="rocPRIM" remote="rocm-swplat" />
<project groups="mathlibs" name="rocWMMA" remote="rocm-swplat" />
<project name="hipfort" remote="rocm-swplat" />
<project name="AMDMIGraphX" remote="rocm-swplat" />
<project name="ROCmValidationSuite" remote="rocm-devtools" />
<!-- Projects for OpenMP-Extras -->
<project name="aomp" path="openmp-extras/aomp" remote="rocm-devtools" />
<project name="aomp-extras" path="openmp-extras/aomp-extras" remote="rocm-devtools" />
<project name="flang" path="openmp-extras/flang" remote="rocm-devtools" />
<project name="RCP" remote="gpuopen-tools" revision="refs/tags/v5.6" />
<!-- ROCm Libraries -->
<project name="rocBLAS" remote="rocm-swplat" revision="00da0857152eeda58a9bfda611572ab30dbdc4de" />
<project name="hipBLAS" remote="rocm-swplat" revision="4accc37a9cb29eccbc17a036dc6d4ae0144bed4e" />
<project name="rocFFT" remote="rocm-swplat" revision="673805db60597698e23a409a1efe75d236b9f9d3" />
<project name="rocRAND" remote="rocm-swplat" revision="687d659a294f416c69dd6e860a8ded939e55c22a" />
<project name="rocSPARSE" remote="rocm-swplat" revision="0676d85f2f37e59f5696c02bcdc5dead6db6e5e9" />
<project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.4" />
<project name="rocALUTION" remote="rocm-swplat" revision="be8d0c577bc3db217a8c10caaf9d2627119a3444" />
<project name="MIOpenGEMM" remote="rocm-swplat" revision="9547fb9e8499a5a9f16da83b1e6b749de82dd9fb" />
<project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.3.0" />
<project name="Thrust" remote="rocm-swplat" revision="2f23ffb3932f303d910cad824b327c11893f0d68" sync-s="true" />
<project name="rocm_smi_lib" />
<project name="rccl" remote="rocm-swplat" revision="refs/tags/0.7.5" />
<project name="MIVisionX" remote="gpuopen-libs" revision="8ec87326b74d60a6f03a39298b83f192d440a939" />
<project name="cub-hip" remote="rocm-swplat" revision="hip_port_1.7.4" />
</manifest>

View File

@@ -1,6 +0,0 @@
# 404 Page Not Found
Page could not be found.
Return to [home](./index) or please use the links from the sidebar to find what
you are looking for.

View File

@@ -1,74 +0,0 @@
# About ROCm Documentation
ROCm documentation is made available under open source [licenses](licensing.md).
Documentation is built using open source toolchains. Contributions to our
documentation is encouraged and welcome. As a contributor, please familiarize
yourself with our documentation toolchain.
## ReadTheDocs
[ReadTheDocs](https://docs.readthedocs.io/en/stable/) is our front end for the
our documentation. By front end, this is the tool that serves our HTML based
documentation to our end users.
## Doxygen
[Doxygen](https://www.doxygen.nl/) is the most common inline code documentation
standard. ROCm projects are use Doxygen for public API documentation (unless the
upstream project is using a different tool).
## Sphinx
[Sphinx](https://www.sphinx-doc.org/en/master/) is a documentation generator
originally used for python. It is now widely used in the Open Source community.
Originally, sphinx supported RST based documentation. Markdown support is now
available. ROCm documentation plans to default to markdown for new projects.
Existing projects using RST are under no obligation to convert to markdown. New
projects that believe markdown is not suitable should contact the documentation
team prior to selecting RST.
### MyST
[Markedly Structured Text (MyST)](https://myst-tools.org/docs/spec) is an extended
flavor of Markdown ([CommonMark](https://commonmark.org/)) influenced by reStructuredText (RST) and Sphinx.
It is integrated via [`myst-parser`](https://myst-parser.readthedocs.io/en/latest/).
A cheat sheet that showcases how to use the MyST syntax is available over at [the Jupyter
reference](https://jupyterbook.org/en/stable/reference/cheatsheet.html).
### Sphinx Theme
ROCm is using the
[Sphinx Book Theme](https://sphinx-book-theme.readthedocs.io/en/latest/). This
theme is used by Jupyter books. ROCm documentation applies some customization
include a header and footer on top of the Sphinx Book Theme. A future custom
ROCm theme will be part of our documentation goals.
### Sphinx Design
Sphinx Design is an extension for sphinx based websites that add design
functionality. Please see the documentation
[here](https://sphinx-design.readthedocs.io/en/latest/index.html). ROCm
documentation uses sphinx design for grids, cards, and synchronized tabs.
Other features may be used in the future.
### Sphinx External TOC
ROCm uses the
[sphinx-external-toc](https://sphinx-external-toc.readthedocs.io/en/latest/intro.html)
for our navigation. This tool allows a YAML file based left navigation menu. This
tool was selected due to its flexibility that allows scripts to operate on the
YAML file. Please transition to this file for the project's navigation. You can
see the `_toc.yml.in` file in this repository in the docs/sphinx folder for an
example.
### Breathe
Sphinx uses [Breathe](https://www.breathe-doc.org/) to integrate Doxygen
content.
## `rocm-docs-core` pip package
[rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core) is an AMD
maintained project that applies customization for our documentation. This
project is the tool most ROCm repositories will use as part of the documentation
build.

View File

@@ -1,76 +0,0 @@
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import shutil
from rocm_docs import ROCmDocs
shutil.copy2('../CONTRIBUTING.md','./contributing.md')
shutil.copy2('../RELEASE.md','./release.md')
# Keep capitalization due to similar linking on GitHub's markdown preview.
shutil.copy2('../CHANGELOG.md','./CHANGELOG.md')
# configurations for PDF output by Read the Docs
project = "ROCm Documentation"
author = "Advanced Micro Devices, Inc."
copyright = "Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved."
version = "5.1.1"
release = "5.1.1"
setting_all_article_info = True
all_article_info_os = ["linux"]
all_article_info_author = ""
# pages with specific settings
article_pages = [
{"file":"deploy/linux/index", "os":["linux"]},
{"file":"deploy/linux/install_overview", "os":["linux"]},
{"file":"deploy/linux/prerequisites", "os":["linux"]},
{"file":"deploy/linux/quick_start", "os":["linux"]},
{"file":"deploy/linux/install", "os":["linux"]},
{"file":"deploy/linux/upgrade", "os":["linux"]},
{"file":"deploy/linux/uninstall", "os":["linux"]},
{"file":"deploy/linux/package_manager_integration", "os":["linux"]},
{"file":"deploy/docker", "os":["linux"]},
{"file":"release/gpu_os_support", "os":["linux"]},
{"file":"release/docker_support_matrix", "os":["linux"]},
{"file":"reference/gpu_libraries/communication", "os":["linux"]},
{"file":"reference/ai_tools", "os":["linux"]},
{"file":"reference/management_tools", "os":["linux"]},
{"file":"reference/validation_tools", "os":["linux"]},
{"file":"reference/framework_compatibility/framework_compatibility", "os":["linux"]},
{"file":"reference/computer_vision", "os":["linux"]},
{"file":"how_to/deep_learning_rocm", "os":["linux"]},
{"file":"how_to/gpu_aware_mpi", "os":["linux"]},
{"file":"how_to/magma_install/magma_install", "os":["linux"]},
{"file":"how_to/pytorch_install/pytorch_install", "os":["linux"]},
{"file":"how_to/system_debugging", "os":["linux"]},
{"file":"how_to/tensorflow_install/tensorflow_install", "os":["linux"]},
{"file":"examples/machine_learning", "os":["linux"]},
{"file":"examples/inception_casestudy/inception_casestudy", "os":["linux"]},
{"file":"understand/file_reorg", "os":["linux"]},
{"file":"understand/isv_deployment_win", "os":["windows"]},
]
external_toc_path = "./sphinx/_toc.yml"
docs_core = ROCmDocs("ROCm 5.1.1 Documentation Home")
docs_core.setup()
external_projects_current_project = "rocm"
for sphinx_var in ROCmDocs.SPHINX_VARS:
globals()[sphinx_var] = getattr(docs_core, sphinx_var)
html_theme_options = {
"link_main_doc": False
}

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# Deploy ROCm Docker containers
## Prerequisites
Docker containers share the kernel with the host operating system, therefore the
ROCm kernel-mode driver must be installed on the host. Please refer to
{ref}`using-the-package-manager` on installing `amdgpu-dkms`. The other
user-space parts (like the HIP-runtime or math libraries) of the ROCm stack will
be loaded from the container image and don't need to be installed to the host.
(docker-access-gpus-in-container)=
## Accessing GPUs in containers
In order to access GPUs in a container (to run applications using HIP, OpenCL or
OpenMP offloading) explicit access to the GPUs must be granted.
The ROCm runtimes make use of multiple device files:
- `/dev/kfd`: the main compute interface shared by all GPUs
- `/dev/dri/renderD<node>`: direct rendering interface (DRI) devices for each
GPU. **`<node>`** is a number for each card in the system starting from 128.
Exposing these devices to a container is done by using the
[`--device`](https://docs.docker.com/engine/reference/commandline/run/#device)
option, i.e. to allow access to all GPUs expose `/dev/kfd` and all
`/dev/dri/renderD` devices:
```shell
docker run --device /dev/kfd --device /dev/renderD128 --device /dev/renderD129 ...
```
More conveniently, instead of listing all devices, the entire `/dev/dri` folder
can be exposed to the new container:
```shell
docker run --device /dev/kfd --device /dev/dri
```
Note that this gives more access than strictly required, as it also exposes the
other device files found in that folder to the container.
(docker-restrict-gpus)=
### Restricting a container to a subset of the GPUs
If a `/dev/dri/renderD` device is not exposed to a container then it cannot use
the GPU associated with it; this allows to restrict a container to any subset of
devices.
For example to allow the container to access the first and third GPU start it
like:
```shell
docker run --device /dev/kfd --device /dev/dri/renderD128 --device /dev/dri/renderD130 <image>
```
### Additional Options
The performance of an application can vary depending on the assignment of GPUs
and CPUs to the task. Typically, `numactl` is installed as part of many HPC
applications to provide GPU/CPU mappings. This Docker runtime option supports
memory mapping and can improve performance.
```shell
--security-opt seccomp=unconfined
```
This option is recommended for Docker Containers running HPC applications.
```shell
docker run --device /dev/kfd --device /dev/dri --security-opt seccomp=unconfined ...
```
## Docker images in the ROCm ecosystem
### Base images
<https://github.com/RadeonOpenCompute/ROCm-docker> hosts images useful for users
wishing to build their own containers leveraging ROCm. The built images are
available from [Docker Hub](https://hub.docker.com/u/rocm). In particular
`rocm/rocm-terminal` is a small image with the prerequisites to build HIP
applications, but does not include any libraries.
### Applications
AMD provides pre-built images for various GPU-ready applications through its
Infinity Hub at <https://www.amd.com/en/technologies/infinity-hub>.
Examples for invoking each application and suggested parameters used for
benchmarking are also provided there.

View File

@@ -1,53 +0,0 @@
# Deploy ROCm on Linux
Start with {doc}`/deploy/linux/quick_start` or follow the detailed
instructions below.
## Prepare to Install
::::{grid} 1 1 2 2
:gutter: 1
:::{grid-item-card} Prerequisites
:link: prerequisites
:link-type: doc
The prerequisites page lists the required steps *before* installation.
:::
:::{grid-item-card} Install Choices
:link: install_overview
:link-type: doc
Package manager vs AMDGPU Installer
Standard Packages vs Multi-Version Packages
:::
::::
## Choose your install method
::::{grid} 1 1 2 2
:gutter: 1
:::{grid-item-card} Package Manager
:link: os-native/index
:link-type: doc
Directly use your distribution's package manager to install ROCm.
:::
:::{grid-item-card} AMDGPU Installer
:link: installer/index
:link-type: doc
Use an installer tool that orchestrates changes via the package
manager.
:::
::::
## See Also
- {doc}`/release/gpu_os_support`

View File

@@ -1,71 +0,0 @@
# ROCm Installation Options (Linux)
Users installing ROCm must choose between various installation options. A new
user should follow the [Quick Start guide](./quick_start).
## Package Manager versus AMDGPU Installer?
ROCm supports two methods for installation:
- Directly using the Linux distribution's package manager
- The `amdgpu-install` script
There is no difference in the final installation state when choosing either
option.
Using the distribution's package manager lets the user install,
upgrade and uninstall using familiar commands and workflows. Third party
ecosystem support is the same as your OS package manager.
The `amdgpu-install` script is a wrapper around the package manager. The same
packages are installed by this script as the package manager system.
The installer automates the installation process for the AMDGPU
and ROCm stack. It handles the complete installation process
for ROCm, including setting up the repository, cleaning the system, updating,
and installing the desired drivers and meta-packages. Users who are
less familiar with the package manager can choose this method for ROCm
installation.
(installation-types)=
## Single Version ROCm install versus Multi-Version
ROCm packages are versioned with both semantic versioning that is package
specific and a ROCm release version.
### Single-version Installation
The single-version ROCm installation refers to the following:
- Installation of a single instance of the ROCm release on a system
- Use of non-versioned ROCm meta-packages
### Multi-version Installation
The multi-version installation refers to the following:
- Installation of multiple instances of the ROCm stack on a system. Extending
the package name and its dependencies with the release version adds the
ability to support multiple versions of packages simultaneously.
- Use of versioned ROCm meta-packages.
```{attention}
ROCm packages that were previously installed from a single-version installation
must be removed before proceeding with the multi-version installation to avoid
conflicts.
```
```{note}
Multiversion install is not available for the kernel driver module, also referred to as AMDGPU.
```
The following image demonstrates the difference between single-version and
multi-version ROCm installation types:
```{figure-md} install-types
<img src="/data/deploy/linux/image.001.png" alt="">
ROCm Installation Types
```

View File

@@ -1,31 +0,0 @@
# AMDGPU Install Script
::::{grid} 2 3 3 3
:gutter: 1
:::{grid-item-card} Install
:link: install
:link-type: doc
How to install ROCm?
:::
:::{grid-item-card} Upgrade
:link: upgrade
:link-type: doc
Instructions for upgrading an existing ROCm installation.
:::
:::{grid-item-card} Uninstall
:link: uninstall
:link-type: doc
Steps for removing ROCm packages libraries and tools.
:::
::::
## See Also
- {doc}`/release/gpu_os_support`

View File

@@ -1,299 +0,0 @@
# Installation with install script
Prior to beginning, please ensure you have the [prerequisites](../prerequisites)
installed.
## Download the Installer Script
To download and install the `amdgpu-install` script on the system, use the
following commands based on your distribution.
::::::{tab-set}
:::::{tab-item} Ubuntu
:sync: ubuntu
::::{tab-set}
:::{tab-item} Ubuntu 18.04
:sync: ubuntu-18.04
```shell
sudo apt update
wget https://repo.radeon.com/amdgpu-install/22.10.1/ubuntu/bionic/amdgpu-install_22.10.1.50101-1_all.deb
sudo apt install ./amdgpu-install_22.10.1.50101-1_all.deb
```
:::
:::{tab-item} Ubuntu 20.04
:sync: ubuntu-20.04
```shell
sudo apt update
wget https://repo.radeon.com/amdgpu-install/22.10.1/ubuntu/focal/amdgpu-install_22.10.1.50101-1_all.deb
sudo apt install ./amdgpu-install_22.10.1.50101-1_all.deb
```
:::
::::
:::::
:::::{tab-item} Red Hat Enterprise Linux
:sync: RHEL
::::{tab-set}
:::{tab-item} RHEL 7.9
:sync: RHEL-7.9
:sync: RHEL-7
```shell
sudo yum install https://repo.radeon.com/amdgpu-install/22.10.1/rhel/7.9/amdgpu-install-22.10.1.50101-1.el7.noarch.rpm
```
:::
:::{tab-item} RHEL 8.4
:sync: RHEL-8.4
:sync: RHEL-8
```shell
sudo yum install https://repo.radeon.com/amdgpu-install/22.10.1/rhel/8.4/amdgpu-install-22.10.1.50101-1.el8.noarch.rpm
```
:::
:::{tab-item} RHEL 8.5
:sync: RHEL-8.5
:sync: RHEL-8
```shell
sudo yum install https://repo.radeon.com/amdgpu-install/22.10.1/rhel/8.5/amdgpu-install-22.10.1.50101-1.el8.noarch.rpm
```
:::
::::
:::::
:::::{tab-item} SUSE Linux Enterprise Server 15
:sync: SLES15
::::{tab-set}
:::{tab-item} Service Pack 4
:sync: SLES15-SP4
```shell
sudo zypper --no-gpg-checks install https://repo.radeon.com/amdgpu-install/22.10.1/sle/15/amdgpu-install-22.10.1.50101-1.noarch.rpm
```
:::
::::
:::::
::::::
## Use cases
Instead of installing individual applications or libraries the installer script
groups packages into specific use cases, matching typical workflows and runtimes.
To display a list of available use cases execute the command:
```shell
sudo amdgpu-install --list-usecase
```
The available use-cases will be printed in a format similar to the example
output below.
```none
If --usecase option is not present, the default selection is "graphics,opencl,hip"
Available use cases:
rocm(for users and developers requiring full ROCm stack)
- OpenCL (ROCr/KFD based) runtime
- HIP runtimes
- Machine learning framework
- All ROCm libraries and applications
- ROCm Compiler and device libraries
- ROCr runtime and thunk
lrt(for users of applications requiring ROCm runtime)
- ROCm Compiler and device libraries
- ROCr runtime and thunk
opencl(for users of applications requiring OpenCL on Vega or
later products)
- ROCr based OpenCL
- ROCm Language runtime
openclsdk (for application developers requiring ROCr based OpenCL)
- ROCr based OpenCL
- ROCm Language runtime
- development and SDK files for ROCr based OpenCL
hip(for users of HIP runtime on AMD products)
- HIP runtimes
hiplibsdk (for application developers requiring HIP on AMD products)
- HIP runtimes
- ROCm math libraries
- HIP development libraries
```
To install use cases specific to your requirements, use the installer
`amdgpu-install` as follows:
- To install a single use case add it with the `--usecase` option:
```shell
sudo amdgpu-install --usecase=rocm
```
- For multiple use cases separate them with commas:
```shell
sudo amdgpu-install --usecase=hiplibsdk,rocm
```
## Single-version ROCm Installation
By default (without the `--rocmrelease` option)
the installer script will install packages in the single-version layout.
## Multi-version ROCm Installation
For the multi-version ROCm installation you must use the installer script from
the latest release of ROCm that you wish to install.
**Example:** If you want to install ROCm releases 5.0.2 and 5.1.1
simultaneously, you are required to download the installer from the latest ROCm
release v5.1.1.
### Add Required Repositories
You must add the ROCm repositories manually for all ROCm releases
you want to install except the latest one. The `amdgpu-install` script
automatically adds the required repositories for the latest release.
Run the following commands based on your distribution to add the repositories:
::::::{tab-set}
:::::{tab-item} Ubuntu
:sync: ubuntu
::::{tab-set}
:::{tab-item} Ubuntu 18.04
:sync: ubuntu-18.04
```shell
for ver in 5.0.2 5.1.1; do
echo "deb [arch=amd64 signed-by=/etc/apt/trusted.gpg.d/rocm-keyring.gpg] https://repo.radeon.com/rocm/apt/$ver bionic main" | sudo tee /etc/apt/sources.list.d/rocm.list
done
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt update
```
:::
:::{tab-item} Ubuntu 20.04
:sync: ubuntu-20.04
```shell
for ver in 5.0.2 5.1.1; do
echo "deb [arch=amd64 signed-by=/etc/apt/trusted.gpg.d/rocm-keyring.gpg] https://repo.radeon.com/rocm/apt/$ver focal main" | sudo tee /etc/apt/sources.list.d/rocm.list
done
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt update
```
:::
::::
:::::
:::::{tab-item} Red Hat Enterprise Linux
:sync: RHEL
::::{tab-set}
:::{tab-item} RHEL 7
:sync: RHEL-7
```shell
for ver in 5.0.2 5.1.1; do
sudo tee --append /etc/yum.repos.d/rocm.repo <<EOF
[ROCm-$ver]
name=ROCm$ver
baseurl=https://repo.radeon.com/rocm/yum/$ver/main
enabled=1
priority=50
gpgcheck=1
gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key
EOF
done
sudo yum clean all
```
:::
:::{tab-item} RHEL 8
:sync: RHEL-8
```shell
for ver in 5.0.2 5.1.1; do
sudo tee --append /etc/yum.repos.d/rocm.repo <<EOF
[ROCm-$ver]
name=ROCm$ver
baseurl=https://repo.radeon.com/rocm/yum/$ver/main
enabled=1
priority=50
gpgcheck=1
gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key
EOF
done
sudo yum clean all
```
:::
::::
:::::
:::::{tab-item} SUSE Linux Enterprise Server 15
:sync: SLES15
```shell
for ver in 5.0.2 5.1.1; do
sudo tee --append /etc/zypp/repos.d/rocm.repo <<EOF
name=rocm
baseurl=https://repo.radeon.com/rocm/zyp/$ver/main
enabled=1
gpgcheck=1
gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key
EOF
done
sudo zypper ref
```
:::::
::::::
### Install packages
Use the installer script as given below:
```none
sudo amdgpu-install --usecase=rocm --rocmrelease=<release-number-1>
sudo amdgpu-install --usecase=rocm --rocmrelease=<release-number-2>
sudo amdgpu-install --usecase=rocm --rocmrelease=<release-number-3>
```
Following are examples of ROCm multi-version installation. The kernel-mode
driver, associated with the ROCm release v5.1.1, will be installed as its latest
release in the list.
```none
sudo amdgpu-install --usecase=rocm --rocmrelease=5.0.2
sudo amdgpu-install --usecase=rocm --rocmrelease=5.1.1
```
## Additional options
### Unattended installation
Adding `-y` as a parameter to `amdgpu-install` skips user prompts (for
automation). Example: `amdgpu-install -y --usecase=rocm`
### Skipping kernel mode driver installation
The installer script tries to install the kernel mode driver along with the
requested use cases. This might be unnecessary as in the case of docker
containers or you may wish to keep a specific version when using multi-version
installation, and not have the last installed version overwrite the kernel mode
driver.
To skip the installation of the kernel-mode driver add the `--no-dkms` option
when calling the installer script.

View File

@@ -1,25 +0,0 @@
# Installer Script Uninstallation (Linux)
To uninstall all ROCm packages and the kernel-mode driver the following commands
can be used.
::::{rubric} Uninstalling Single-Version Install
::::
```console shell
sudo amdgpu-install --uninstall
```
::::{rubric} Uninstalling a Specific ROCm Release
::::
```console shell
sudo amdgpu-install --uninstall --rocmrelease=<release-number>
```
::::{rubric} Uninstalling all ROCm Releases
::::
```console shell
sudo amdgpu-install --uninstall --rocmrelease=all
```

View File

@@ -1,5 +0,0 @@
# Upgrading with the Installer Script (Linux)
The upgrade procedure with the installer script is exactly the same as
installing for 1st time use. Refer to the {doc}`install`
section on the exact procedure to follow.

View File

@@ -1,38 +0,0 @@
# Installation via Package manager
::::{grid} 2 3 3 3
:gutter: 1
:::{grid-item-card} Install
:link: install
:link-type: doc
How to install ROCm?
:::
:::{grid-item-card} Upgrade
:link: upgrade
:link-type: doc
Instructions for upgrading an existing ROCm installation.
:::
:::{grid-item-card} Uninstall
:link: uninstall
:link-type: doc
Steps for removing ROCm packages libraries and tools.
:::
:::{grid-item-card} Package Manager Integration
:link: package_manager_integration
:link-type: doc
Information about packages.
:::
::::
## See Also
- {doc}`/release/gpu_os_support`

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