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Author SHA1 Message Date
Aditya Lad
b52e5eebbe Merge pull request #1282 from RadeonOpenCompute/master
Update 3.9 branch.
2020-11-11 14:21:53 -08:00
226 changed files with 748 additions and 24133 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
- 'docs/*'
- 'roc**'
pull_request:
branches:
- develop
- main
- 'docs/*'
- 'roc**'
jobs:
call-workflow-passing-data:
name: Documentation
uses: RadeonOpenCompute/rocm-docs-core/.github/workflows/linting.yml@develop

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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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AAC
ABI
ACE
ACEs
AccVGPR
AccVGPRs
ALU
AMD
AMDGPU
AMDGPUs
AMDMIGraphX
AMI
AOCC
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APU
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ASICs
ASan
ASm
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AddressSanitizer
AlexNet
Arb
BLAS
BMC
BitCode
Blit
Bluefield
CCD
CDNA
CIFAR
CLI
CLion
CMake
CMakeLists
CMakePackage
CP
CPC
CPF
CPP
CPU
CPUs
CSC
CSE
CSV
CSn
CTests
CU
CUDA
CUs
CXX
Cavium
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CoRR
Codespaces
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CommonMark
Concretized
Conda
ConnectX
DGEMM
DKMS
DL
DMA
DNN
DNNL
DPM
DRI
DW
DWORD
Dask
DataFrame
DataLoader
DataParallel
DeepSpeed
Dependabot
DevCap
Dockerfile
Doxygen
ELMo
ENDPGM
EPYC
ESXi
FFT
FFTs
FFmpeg
FHS
FMA
FP
Filesystem
Flang
Fortran
Fuyu
GALB
GCD
GCDs
GCN
GDB
GDDR
GDR
GDS
GEMM
GEMMs
GFortran
GiB
GIM
GL
GLXT
GMI
GPG
GPR
GPT
GPU
GPU's
GPUs
GRBM
GenAI
GenZ
GitHub
Gitpod
HBM
HCA
HIPCC
HIPExtension
HIPIFY
HPC
HPCG
HPE
HPL
HSA
HWE
Haswell
Higgs
Hyperparameters
ICV
IDE
IDEs
IMDb
IOMMU
IOP
IOPM
IOV
IRQ
ISA
ISV
ISVs
ImageNet
InfiniBand
Inlines
IntelliSense
Intersphinx
Intra
Ioffe
JSON
Jupyter
KFD
KiB
KVM
Keras
Khronos
LAPACK
LCLK
LDS
LLM
LLMs
LLVM
LM
LSAN
LTS
LoRA
MEM
MERCHANTABILITY
MFMA
MiB
MIGraphX
MIOpen
MIOpenGEMM
MIVisionX
MLM
MMA
MMIO
MMIOH
MNIST
MPI
MSVC
MVAPICH
MVFFR
Makefile
Makefiles
Matplotlib
Megatron
Mellanox
Mellanox's
Meta's
MirroredStrategy
Multicore
Multithreaded
MyEnvironment
MyST
NBIO
NBIOs
NIC
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NLI
NLP
NPS
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NUMA
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Noncoherently
NousResearch's
NumPy
OAM
OAMs
OCP
OEM
OFED
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ONNX
OSS
OSU
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PCIe
PEFT
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PILImage
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PRs
PaLM
Pageable
PeerDirect
Perfetto
PipelineParallel
PnP
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Qcycles
RAII
RCCL
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RDMA
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RHEL
ROC
ROCProfiler
ROCTracer
ROCclr
ROCdbgapi
ROCgdb
ROCk
ROCm
ROCmCC
ROCmSoftwarePlatform
ROCmValidationSuite
ROCr
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RW
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RelWithDebInfo
Req
Rickle
RoCE
Ryzen
SALU
SBIOS
SCA
SDK
SDMA
SDRAM
SENDMSG
SGPR
SGPRs
SHA
SIGQUIT
SIMD
SIMDs
SKU
SKUs
SLES
SMEM
SMI
SMT
SPI
SQs
SRAM
SRAMECC
SVD
SWE
SerDes
Shlens
Skylake
Softmax
Spack
Supermicro
Szegedy
TCA
TCC
TCI
TCIU
TCP
TCR
TF
TFLOPS
TPU
TPUs
TensorBoard
TensorFlow
TensorParallel
ToC
TorchAudio
TorchMIGraphX
TorchScript
TorchServe
TorchVision
TransferBench
TrapStatus
UAC
UC
UCC
UCX
UIF
USM
UTCL
UTIL
Uncached
Unhandled
VALU
VBIOS
VGPR
VGPRs
VM
VMEM
VMWare
VRAM
VSIX
VSkipped
Vanhoucke
Vulkan
WGP
WGPs
WX
WikiText
Wojna
Workgroups
Writebacks
XCD
XCDs
XGBoost
XGBoost's
XGMI
XT
XTX
Xeon
Xilinx
Xnack
Xteam
YAML
YML
YModel
ZeRO
ZenDNN
accuracies
activations
addr
alloc
allocator
allocators
amdgpu
api
atmi
atomics
autogenerated
avx
awk
backend
backends
benchmarking
bfloat
bilinear
bitsandbytes
blit
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bosons
buildable
bursty
bzip
cacheable
cd
centos
centric
changelog
chiplet
cmake
cmd
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collater
comgr
completers
composable
concretization
config
conformant
convolutional
convolves
cpp
csn
cuBLAS
cuFFT
cuLIB
cuRAND
cuSOLVER
cuSPARSE
dataset
datasets
dataspace
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datatypes
dbgapi
de
deallocation
denoise
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denormalize
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detections
dev
devicelibs
devsel
dimensionality
disambiguates
distro
el
embeddings
enablement
endpgm
encodings
env
epilog
etcetera
ethernet
exascale
executables
ffmpeg
filesystem
fortran
galb
gcc
gdb
gfortran
gfx
githooks
github
gnupg
grayscale
gzip
heterogenous
hipBLAS
hipBLASLt
hipCUB
hipFFT
hipLIB
hipRAND
hipSOLVER
hipSPARSE
hipSPARSELt
hipTensor
hipamd
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hipcub
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hipsparse
hpp
hsa
hsakmt
hyperparameter
ib_core
inband
incrementing
inferencing
inflight
init
initializer
inlining
installable
interprocedural
intra
invariants
invocating
ipo
kdb
latencies
libfabric
libjpeg
libs
linearized
linter
linux
llvm
localscratch
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matchers
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miopen
miopengemm
mivisionx
mkdir
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mtypes
mvffr
namespace
namespaces
numref
ocl
opencl
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openssl
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os
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pragma
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profiler
protobuf
pseudorandom
py
quasirandom
queueing
rccl
rdc
reStructuredText
reformats
repos
representativeness
req
resampling
rescaling
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roadmap
roc
rocAL
rocALUTION
rocBLAS
rocFFT
rocLIB
rocMLIR
rocPRIM
rocRAND
rocSOLVER
rocSPARSE
rocThrust
rocWMMA
rocalution
rocblas
rocclr
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rocm
rocminfo
rocprim
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sL
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scalable
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serializers
shader
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sm
smi
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src
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subexpression
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tensorfloat
th
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toolsets
torchvision
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txt
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unswitching
untrusted
untuned
upvote
USM
UTCL
UTIL
utils
vL
variational
vdi
vectorizable
vectorization
vectorize
vectorized
vectorizer
vectorizes
vjxb
walkthrough
walkthroughs
wavefront
wavefronts
whitespaces
workgroup
workgroups
writeback
writebacks
wrreq
wzo
xargs
xz
yaml
ysvmadyb
zypper

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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 recommended 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.
For additional information on documentation functionalities,
see the user and developer guides for rocm-docs-core
at {doc}`rocm-docs-core documentation <rocm-docs-core:index>`.
## 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 renders 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 use Breathe syntax for Doxygen documentation
in our Markdown files. 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).
See the {doc}`rocm-docs-core linting user guide <rocm-docs-core:user_guide/linting>` for more details.
## Filenames and folder structure
Please use snake case (all lower case letters and underscores instead of spaces)
for file names. For example, `example_file_name.md`.
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
placed in the `/docs/data` folder.
## Language and Style
Adopt 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](https://github.com/RadeonOpenCompute/rocm-docs-core).
Raise issues in `rocm-docs-core` for any formatting concerns and changes requested.
## More
For more topics, such as submitting feedback and ways to build documentation,
see the [Contributing Section](https://rocm.docs.amd.com/en/latest/contributing.html)
at [rocm.docs.amd.com](https://rocm.docs.amd.com)

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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.

755
README.md
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# AMD ROCm™ Platform
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 AMDs
[Heterogeneous-computing Interface for Portability (HIP)](https://github.com/ROCm-Developer-Tools/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.
## ROCm Documentation
The ROCm Documentation site is [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.
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.
### 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).
# AMD ROCm™ Patch Release Notes v3.9.1
Users of RPM-based operating systems (RHEL, CentOS, and others) are recommended to use the ROCm v3.9.1 patch release due to a potential compatibility issue with certain drivers.
# AMD ROCm Release Notes v3.9.0
This page describes the features, fixed issues, and information about downloading and installing the ROCm software.
It also covers known issues in this release.
- [Supported Operating Systems and Documentation Updates](#Supported-Operating-Systems-and-Documentation-Updates)
* [Supported Operating Systems](#Supported-Operating-Systems)
* [ROCm Installation Updates](#ROCm-Installation-Updates)
* [AMD ROCm Documentation Updates](#AMD-ROCm-Documentation-Updates)
- [What\'s New in This Release](#Whats-New-in-This-Release)
* [ROCm Compiler Enhancements](#ROCm-Compiler-Enhancements)
* [ROCm System Management Information](#ROCm-System-Management-Information)
* [ROCm Math and Communication Libraries](#ROCm-Math-and-Communication-Libraries)
* [ROCM AOMP Enhancements](#ROCm-AOMP-Enhancements)
- [Fixed Defects](#Fixed-Defects)
- [Known Issues](#Known-Issues)
- [Deprecations](#Deprecations)
- [Deploying ROCm](#Deploying-ROCm)
- [Hardware and Software Support](#Hardware-and-Software-Support)
- [Machine Learning and High Performance Computing Software Stack for AMD GPU](#Machine-Learning-and-High-Performance-Computing-Software-Stack-for-AMD-GPU)
* [ROCm Binary Package Structure](#ROCm-Binary-Package-Structure)
* [ROCm Platform Packages](#ROCm-Platform-Packages)
# Supported Operating Systems
## Support for Ubuntu 20.04.1
In this release, AMD ROCm extends support to Ubuntu 20.04.1, including v5.4 and v5.6-oem.
**Note**: AMD ROCm only supports Long Term Support (LTS) versions of Ubuntu. Versions other than LTS may work with ROCm, however, they are not officially supported.
## Support for SLES 15 SP2
This release extends support to SLES 15 SP2.
## List of Supported Operating Systems
The AMD ROCm platform is designed to support the following operating systems:
* Ubuntu 20.04.1 (5.4 and 5.6-oem) and 18.04.5 (Kernel 5.4)
* CentOS 7.8 & RHEL 7.8 (Kernel 3.10.0-1127) (Using devtoolset-7 runtime support)
* CentOS 8.2 & RHEL 8.2 (Kernel 4.18.0 ) (devtoolset is not required)
* SLES 15 SP2
# ROCm Installation Updates
## Fresh Installation of AMD ROCm v3.9 Recommended
A fresh and clean installation of AMD ROCm v3.9 is recommended. An upgrade from previous releases to AMD ROCm v3.9 is not supported.
For more information, refer to the AMD ROCm Installation Guide at:
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
**Note**: AMD ROCm release v3.3 or prior releases are not fully compatible with AMD ROCm v3.5 and higher versions. You must perform a fresh ROCm installation if you want to upgrade from AMD ROCm v3.3 or older to 3.5 or higher versions and vice-versa.
**Note**: *render group* is required only for Ubuntu v20.04. For all other ROCm supported operating systems, continue to use *video group*.
* For ROCm v3.5 and releases thereafter,the *clinfo* path is changed to - */opt/rocm/opencl/bin/clinfo*.
* For ROCm v3.3 and older releases, the *clinfo* path remains unchanged - */opt/rocm/opencl/bin/x86_64/clinfo*.
## ROCm MultiVersion Installation Update
With the AMD ROCm v3.9 release, the following ROCm multi-version installation changes apply:
The meta packages rocm-dkms<version> are now deprecated for multi-version ROCm installs. For example, rocm-dkms3.7.0, rocm-dkms3.8.0.
* Multi-version installation of ROCm should be performed by installing rocm-dev<version> using each of the desired ROCm versions. For example, rocm-dev3.7.0, rocm-dev3.8.0, rocm-dev3.9.0.
* Version files must be created for each multi-version rocm <= 3.9.0
* command: echo <version> | sudo tee /opt/rocm-<version>/.info/version
* example: echo 3.9.0 | sudo tee /opt/rocm-3.9.0/.info/version
* The rock-dkms loadable kernel modules should be installed using a single rock-dkms package.
* ROCm v3.9 and above will not set any *ldconfig* entries for ROCm libraries for multi-version installation. Users must set *LD_LIBRARY_PATH* to load the ROCm library version of choice.
**NOTE**: The single version installation of the ROCm stack remains the same. The rocm-dkms package can be used for single version installs and is not deprecated at this time.
# AMD ROCm Documentation Updates
## AMD ROCm Installation Guide
The AMD ROCm Installation Guide in this release includes:
* Updated Supported Environments
* Multi-version Installation Instructions
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
## ROCm Compiler Documentation Updates
The ROCm Compiler documentation updates include,
* OpenMP Extras v12.9-0
* OpenMP-Extras Installation
* OpenMP-Extras Source Build
* AOMP-v11.9-0
* AOMP Source Build
For more information, see
https://rocmdocs.amd.com/en/latest/Programming_Guides/openmp_support.html
For the updated ROCm SMI API Guide, see
https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual_v3.9.pdf
## ROCm System Management Information
ROCM-SMI version: 1.4.1 | Kernel version: 5.6.20
* ROCm SMI and Command Line Interface
* ROCm SMI APIs for Compute Unit Occupancy
* Usage
* Optional Arguments
* Display Options
* Topology
* Pages Information
* Hardware-related Information
* Software-related/controlled information
* Set Options
* Reset Options
* Auto-response Options
* Output Options
For more information, refer to
https://rocmdocs.amd.com/en/latest/ROCm_System_Managment/ROCm-System-Managment.html#rocm-command-line-interface
For ROCm SMI API Guide, see
https://github.com/RadeonOpenCompute/ROCm/blob/master/ROCm_SMI_Manual_v3.9.pdf
## AMD ROCm - HIP Documentation Updates
* HIP Porting Guide CU_Pointer_Attribute_Memory_Type
For more information, refer to
https://rocmdocs.amd.com/en/latest/Programming_Guides/HIP-porting-guide.html#hip-porting-guide
## General AMD ROCm Documentation Links
Access the following links for more information:
* For AMD ROCm documentation, see
https://rocmdocs.amd.com/en/latest/
* For installation instructions on supped platforms, see
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
* For AMD ROCm binary structure, see
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#build-amd-rocm
* For AMD ROCm Release History, see
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#amd-rocm-version-history
# What\'s New in This Release
## ROCm Compiler Enhancements
The ROCm compiler support in the llvm-amdgpu-12.0.dev-amd64.deb package is enhanced to include support for OpenMP. To utilize this support, the additional package openmp-extras_12.9-0_amd64.deb is required.
Note, by default, both packages are installed during the ROCm v3.9 installation. For information about ROCm installation, refer to the ROCm Installation Guide.
AMD ROCm supports the following compilers:
* C++ compiler - Clang++
* C compiler - Clang
* Flang - FORTRAN compiler (FORTRAN 2003 standard)
**NOTE** : All of the above-mentioned compilers support:
* OpenMP standard 4.5 and an evolving subset of the OpenMP 5.0 standard
* OpenMP computational offloading to the AMD GPUs
For more information about AMD ROCm compilers, see the Compiler Documentation section at,
https://rocmdocs.amd.com/en/latest/index.html
### Auxiliary Package Supporting OpenMP
The openmp-extras_12.9-0_amd64.deb auxiliary package supports OpenMP within the ROCm compiler. It contains OpenMP specific header files, which are installed in /opt/rocm/llvm/include as well as runtime libraries, fortran runtime libraries, and device bitcode files in /opt/rocm/llvm/lib. The auxiliary package also consists of examples in the /opt/rocm/llvm/examples folder.
**NOTE**: The optional AOMP package resides in /opt/rocm//aomp/bin/clang and the ROCm compiler, which supports OpenMP for AMDGPU, is located in /opt/rocm/llvm/bin/clang.
### AOMP Optional Package Deprecation
Before the AMD ROCm v3.9 release, the optional AOMP package provided support for OpenMP. While AOMP is available in this release, the optional package may be deprecated from ROCm in the future. It is recommended you transition to the ROCm compiler or AOMP standalone releases for OpenMP support.
### Understanding ROCm Compiler OpenMP Support and AOMP OpenMP Support
The AOMP OpenMP support in ROCm v3.9 is based on the standalone AOMP v11.9-0, with LLVM v11 as the underlying system. However, the ROCm compiler's OpenMP support is based on LLVM v12 (upstream).
**NOTE**: Do not combine the object files from the two LLVM implementations. You must rebuild the application in its entirety using either the AOMP OpenMP or the ROCm OpenMP implementation.
### Example OpenMP Using the ROCm Compiler
```
$ cat helloworld.c
#include <stdio.h>
#include <omp.h>
int main(void) {
int isHost = 1;
#pragma omp target map(tofrom: isHost)
{
isHost = omp_is_initial_device();
printf("Hello world. %d\n", 100);
for (int i =0; i<5; i++) {
printf("Hello world. iteration %d\n", i);
}
}
printf("Target region executed on the %s\n", isHost ? "host" : "device");
return isHost;
}
$ /opt/rocm/llvm/bin/clang -O3 -target x86_64-pc-linux-gnu -fopenmp -fopenmp-targets=amdgcn-amd-amdhsa -Xopenmp-target=amdgcn-amd-amdhsa -march=gfx900 helloworld.c -o helloworld
$ export LIBOMPTARGET_KERNEL_TRACE=1
$ ./helloworld
DEVID: 0 SGN:1 ConstWGSize:256 args: 1 teamsXthrds:( 1X 256) reqd:( 1X 0) n:__omp_offloading_34_af0aaa_main_l7
Hello world. 100
Hello world. iteration 0
Hello world. iteration 1
Hello world. iteration 2
Hello world. iteration 3
Hello world. iteration 4
Target region executed on the device
```
For more examples, see */opt/rocm/llvm/examples*.
## ROCm SYSTEM MANAGEMENT INFORMATION
The AMD ROCm v3.9 release consists of the following ROCm System Management Information (SMI) enhancements:
* Shows the hardware topology
* The ROCm-SMI showpids option shows per-process Compute Unit (CU) Occupancy, VRAM usage, and SDMA usage
* Support for GPU Reset Event and Thermal Throttling Event in ROCm-SMI Library
### ROCm-SMI Hardware Topology
The ROCm-SMI Command Line Interface (CLI) is enhanced to include new options to denote GPU inter-connect topology in the system along with the relative distance between each other and the closest NUMA (CPU) node for each GPU.
![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/ROCMCLI1.PNG)
### Compute Unit Occupancy
The AMD ROCm stack now supports a user process in querying Compute Unit (CU) occupancy at a particular moment. This service can be accessed to determine if a process P is using sufficient compute units.
A periodic collection is used to build the profile of a compute unit occupancy for a workload.
![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/ROCMCLI2.PNG)
ROCm supports this capability only on GFX9 devices. Users can access the functionality in two ways:
* indirectly from the SMI library
* directly via Sysfs
**NOTE**: On systems that have both GFX9 and non-GFX9 devices, users should interpret the compute unit (CU) occupancy value carefully as the service does not support non-GFX9 devices.
### Accessing Compute Unit Occupancy Indirectly
The ROCm System Management Interface (SMI) library provides a convenient interface to determine the CU occupancy for a process. To get the CU occupancy of a process reported in percentage terms, invoke the SMI interface using rsmi_compute_process_info_by_pid_get(). The value is reported through the member field cu_occupancy of struct rsmi_process_info_t.
```
/**
* @brief Encodes information about a process
* @cu_occupancy Compute Unit usage in percent
*/
typedef struct {
- - -,
uint32_t cu_occupancy;
} rsmi_process_info_t;
/**
* API to get information about a process
rsmi_status_t
rsmi_compute_process_info_by_pid_get(uint32_t pid,
rsmi_process_info_t *proc);
```
### Accessing Compute Unit Occupancy Directly Using SYSFS
Information provided by SMI library is built from sysfs. For every valid device, ROCm stack surfaces a file by the name cu_occupancy in Sysfs. Users can read this file to determine how that device is being used by a particular workload. The general structure of the file path is /proc/<pid>/stats_<gpuid>/cu_occupancy
```
/**
* CU occupancy files for processes P1 and P2 on two devices with
* ids: 1008 and 112326
*/
/sys/devices/virtual/kfd/kfd/proc/<Pid_1>/stats_1008/cu_occupancy
/sys/devices/virtual/kfd/kfd/proc/<Pid_1>/stats_2326/cu_occupancy
/sys/devices/virtual/kfd/kfd/proc/<Pid_2>/stats_1008/cu_occupancy
/sys/devices/virtual/kfd/kfd/proc/<Pid_2>/stats_2326/cu_occupancy
// To get CU occupancy for a process P<i>
for each valid-device from device-list {
path-1 = Build path for cu_occupancy file;
path-2 = Build path for file Gpu-Properties;
cu_in_use += Open and Read the file path-1;
cu_total_cnt += Open and Read the file path-2;
}
cu_percent = ((cu_in_use * 100) / cu_total_cnt);
```
### GPU Reset Event and Thermal Throttling Event
The ROCm-SMI library clients can now register for the following events:
![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/ROCMCLI3.PNG)
## ROCm Math and Communication Libraries
### rocfft_execution_info_set_stream API
rocFFT is a software library for computing Fast Fourier Transforms (FFT). It is part of AMDs software ecosystem based on ROCm. In addition to AMD GPU devices, the library can be compiled with the CUDA compiler using HIP tools for running on Nvidia GPU devices.
The rocfft_execution_info_set_stream API is a function to specify optional and additional information to control execution. This API specifies the compute stream, which must be invoked before the call to rocfft_execute. Compute stream is the underlying device queue/stream where the library computations are inserted.
#### PREREQUISITES
Using the compute stream API makes the following assumptions:
* This stream already exists in the program and assigns work to the stream
* The stream must be of type hipStream_t. Note, it is an error to pass the address of a hipStream_t object
#### PARAMETERS
Input
* info execution info handle
* stream underlying compute stream
### Improved GEMM Performance
Currently, rocblas_gemm_ext2() supports matrix multiplication D <= alpha * A * B + beta * C, where the A, B, C, and D matrices are single-precision float, column-major, and non-transposed, except that the row stride of C may equal 0. This means the first row of C is broadcast M times in C:
![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/GEMM2.PNG)
If an optimized kernel solution for a particular problem is not available, a slow fallback algorithm is used, and the first time a fallback algorithm is used, the following message is printed to standard error:
*“Warning: Using slow on-host algorithm, because it is not implemented in Tensile yet.”
**NOTE**: ROCBLAS_LAYER controls the logging of the calls. It is recommended to use logging with the rocblas_gemm_ext2() feature, to identify the precise parameters which are passed to it.
* Setting the ROCBLAS_LAYER environment variable to 2 will print the problem parameters as they are being executed.
* Setting the ROCBLAS_LAYER environment variable to 4 will collect all of the sizes, and print them out at the end of program execution.
For more logging information, refer to https://rocblas.readthedocs.io/en/latest/logging.html.
### New Matrix Pruning Functions
In this release, the following new Matrix Pruning functions are introduced.
![Screenshot](https://github.com/Rmalavally/ROCm/blob/master/images/matrix.png)
### rocSOLVER General Matrix Singular Value Decomposition API
The rocSOLVER General Matrix Singular Value Decomposition (GESVD) API is now available in the AMD ROCm v3.9 release.
GESVD computes the Singular Values and, optionally, the Singular Vectors of a general m-by-n matrix A (Singular Value Decomposition).
The SVD of matrix A is given by:
```
A = U * S * V'
```
For more information, refer to
https://rocsolver.readthedocs.io/en/latest/userguide_api.html
## ROCm AOMP ENHANCEMENTS
### AOMP v11.9-0
The source code base for this release is the upstream LLVM 11 monorepo release/11.x sources as of August 18, 2020, with the hash value
*1e6907f09030b636054b1c7b01de36f281a61fa2*
The llvm-project branch used to build this release is aomp11. In addition to completing the source tarball, the artifacts of this release include the file llvm-project.patch. This file shows the delta from the llvm-project upstream release/11.x. The size of this patch XXXX lines in XXX files. These changes include support for flang driver, OMPD support, and the hsa libomptarget plugin. The goal is to reduce this with continued upstreaming activity.
The changes for this release of AOMP are:
* Fix compiler warnings for build_project.sh and build_openmp.sh.
* Fix: [flang] The AOMP 11.7-1 Fortran compiler claims to support the -isystem flag, but ignores it.
* Fix: [flang] producing internal compiler error when a character is used with KIND.
* Fix: [flang] openmp map clause on complex allocatable expressions !$omp target data map( chunk%tiles(1)%field%density0).
* DeviceRTL memory footprint has been reduced from ~2.3GB to ~770MB for AMDGCN target.
* Workaround for red_bug_51 failing on gfx908.
* Switch to python3 for ompd and rocgdb.
* Now require cmake 3.13.4 to compile from source.
* Fix aompcc to accept file type cxx.
### AOMP v11.08-0
The source code base for this release is the upstream LLVM 11 monorepo release/11.x sources as of August 18, 2020 with the hash value
*aabff0f7d564b22600b33731e0d78d2e70d060b4*
The amd-llvm-project branch used to build this release is amd-stg-openmp. In addition to complete source tarball, the artifacts of this release includes the file llvm-project.patch. This file shows the delta from the llvm-project upstream release/11.x which is currently at 32715 lines in 240 files. These changes include support for flang driver, OMPD support and the hsa libomptarget plugin. Our goal is to reduce this with continued upstreaming activity.
These are the major changes for this release of AOMP:
* Switch to the LLVM 11.x stable code base.
* OMPD updates for flang.
* To support debugging OpenMP, selected OpenMP runtime sources are included in lib-debug/src/openmp. The ROCgdb debugger will find these automatically.
* Threadsafe hsa plugin for libomptarget.
* Updates to support device libraries.
* Openmpi configure issue with real16 resolved.
* DeviceRTL memory use is now independent of number of openmp binaries.
* Startup latency on first kernel launch reduced by order of magnitude.
### AOMP v11.07-1
The source code base for this release is the upstream LLVM 11 monorepo development sources as July 10, 2020 with hash valued 979c5023d3f0656cf51bd645936f52acd62b0333 The amd-llvm-project branch used to build this release is amd-stg-openmp. In addition to complete source tarball, the artifacts of this release includes the file llvm-project.patch. This file shows the delta from the llvm-project upstream trunk which is currently at 34121 lines in 277 files. Our goal is to reduce this with continued upstreaming activity.
* Inclusion of OMPD support which is not yet upstream
* Build of ROCgdb
* Host runtime optimisation. GPU image information is now mostly read on the host instead of from the GPU.
* Fixed the source build scripts so that building from the source tarball does not fail because of missing test directories. This fixes issue #116.
# Fixed Defects
The following defects are fixed in this release:
* Random Soft Hang Observed When Running ResNet-Based Models
* (AOMP) Undefined Hidden Symbol Linker Error Causes Compilation Failure in HIP
* MIGraphx -> test_gpu_ops_test FAILED
* Unable to install RDC on CentOS/RHEL 7.8/8.2 & SLES
# Known Issues
The following are the known issues in this release.
## (AOMP) HIP EXAMPLE DEVICE_LIB FAILS TO COMPILE
The HIP example device_lib fails to compile and displays the following error:
*lld: error: undefined hidden symbol: inc_arrayval
The recommended workaround is to use */opt/rocm/hip/bin/hipcc to compile HIP applications*.
## HIPFORT INSTALLATION FAILURE
Hipfort fails to install during the ROCm installation.
As a workaround, you may force install hipfort using the following instructions:
### Ubuntu
```
sudo apt-get -o Dpkg::Options::="--force-overwrite" install hipfort
```
### SLES
Zypper gives you an option to continue with the overwrite during the installation.
### CentOS
Download hipfort to a temporary location and force install with rpm:
```
yum install --downloadonly --downloaddir=/tmp/hipfort hipfort
rpm -i --replacefiles hipfort<package-version>
```
## MEMORY FAULT ACCESS ERROR DURING MEMORY TEST OF ROCM VALIDATION SUITE
When the ROCm Validation Suite (RVS) is installed using the prebuilt Debian/rpm package and run for the first time, the memory module displays the following error message,
“Memory access fault by GPU node-<x> (Agent handle: 0xa55170) on address 0x7fc268c00000. Reason: Page not present or supervisor privilege.
Aborted (core dumped)”
As a workaround, run the test again. Subsequent runs appear to fix the error.
**NOTE**: The error may appear after a system reboot. Run the test again to fix the issue.
Note, reinstallation of ROCm Validation Suite is not required.
# Deprecations
This section describes deprecations and removals in AMD ROCm.
## WARNING: COMPILER-GENERATED CODE OBJECT VERSION 2 DEPRECATION
Compiler-generated code object version 2 is no longer supported and will be removed shortly. AMD ROCm users must plan for the code object version 2 deprecation immediately.
Support for loading code object version 2 is also being deprecated with no announced removal release.
# Deploying ROCm
AMD hosts both Debian and RPM repositories for the ROCm v3.9.x packages.
For more information on ROCM installation on all platforms, see
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html
# Hardware and Software 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.
#### 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.
ROCm officially supports AMD GPUs that use following chips:
* 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
* GFX9 GPUs
* "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
* "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII
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:
* GFX8 GPUs
* "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
* GFX7 GPUs
* "Hawaii" chips, such as the AMD Radeon R9 390X and FirePro W9100
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 require PCIe 3.0 with support for PCIe atomics by default, but they can operate in most cases without this capability.
The integrated GPUs in AMD APUs are not officially supported targets for ROCm.
As described [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 the HIP runtime, and may not work due to motherboard or OEM hardware limitations.
As such, they are not yet officially supported targets for ROCm.
For a more detailed list of hardware support, please see [the following documentation](https://en.wikipedia.org/wiki/List_of_AMD_graphics_processing_units).
#### 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 3.1.0 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
```
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.
#### Not supported or limited support under ROCm
##### Limited support
* ROCm 2.9.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 3.1.0 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 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 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 2.9.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.
#### 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 5.4 | Limits GPU's usage of system memory to 3/8 of system memory (before 5.6). For 5.6 and beyond, both DKMS and upstream kernels allow use of 15/16 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 |
## Machine Learning and High Performance Computing Software Stack for AMD GPU
For an updated version of the software stack for AMD GPU, see
https://rocmdocs.amd.com/en/latest/Installation_Guide/Installation-Guide.html#software-stack-for-amd-gpu

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# Release Notes
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The release notes for the ROCm platform.
-------------------
## ROCm 5.7.0
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### Release Highlights for ROCm v5.7
ROCm 5.7.0 includes many new features. These include: a new library (hipTensor), and optimizations for rocRAND and MIVisionX. Address sanitizer for host and device code (GPU) is now available as a beta. Note that ROCm 5.7.0 is EOS for MI50. 5.7 versions of ROCm are the last major release in the ROCm 5 series. This release is Linux-only.
Important: The next major ROCm release (ROCm 6.0) will not be backward compatible with the ROCm 5 series. Changes will include: splitting LLVM packages into more manageable sizes, changes to the HIP runtime API, splitting rocRAND and hipRAND into separate packages, and reorganizing our file structure.
#### AMD Instinct™ MI50 End of Support Notice
AMD Instinct MI50, Radeon Pro VII, and Radeon VII products (collectively gfx906 GPUs) will enter maintenance mode starting Q3 2023.
As outlined in [5.6.0](https://rocm.docs.amd.com/en/docs-5.6.0/release.html), ROCm 5.7 will be the final release for gfx906 GPUs to be in a fully supported state.
- ROCm 6.0 release will show MI50s as "under maintenance" mode for [Linux](./about/release/linux_support) and [Windows](./about/release/windows_support)
- No new features and performance optimizations will be supported for the gfx906 GPUs beyond this major release (ROCm 5.7).
- Bug fixes / critical security patches will continue to be supported for the gfx906 GPUs till Q2 2024 (EOM (End of Maintenance) will be aligned with the closest ROCm release).
- Bug fixes during the maintenance will be made to the next ROCm point release.
- Bug fixes will not be backported to older ROCm releases for gfx906.
- Distro / Operating system updates will continue as per the ROCm release cadence for gfx906 GPUs till EOM.
#### Feature Updates
##### Non-hostcall HIP Printf
**Current behavior**
The current version of HIP printf relies on hostcalls, which, in turn, rely on PCIe atomics. However, PCle atomics are unavailable in some environments, and, as a result, HIP-printf does not work in those environments. Users may see the following error from runtime (with AMD_LOG_LEVEL 1 and above),
```
Pcie atomics not enabled, hostcall not supported
```
**Workaround**
The ROCm 5.7 release introduces an alternative to the current hostcall-based implementation that leverages an older OpenCL-based printf scheme, which does not rely on hostcalls/PCIe atomics.
Note: This option is less robust than hostcall-based implementation and is intended to be a workaround when hostcalls do not work.
The printf variant is now controlled via a new compiler option -mprintf-kind=<value>. This is supported only for HIP programs and takes the following values,
- “hostcall” This currently available implementation relies on hostcalls, which require the system to support PCIe atomics. It is the default scheme.
- “buffered” This implementation leverages the older printf scheme used by OpenCL; it relies on a memory buffer where printf arguments are stored during the kernel execution, and then the runtime handles the actual printing once the kernel finishes execution.
**NOTE**: With the new workaround,
- The printf buffer is fixed size and non-circular. After the buffer is filled, calls to printf will not result in additional output.
- The printf call returns either 0 (on success) or -1 (on failure, due to full buffer), unlike the hostcall scheme that returns the number of characters printed.
##### Beta Release of LLVM Address Sanitizer (ASAN) with the GPU
The ROCm v5.7 release introduces the beta release of LLVM Address Sanitizer (ASAN) with the GPU. The LLVM Address Sanitizer provides a process that allows developers to detect runtime addressing errors in applications and libraries. The detection is achieved using a combination of compiler-added instrumentation and runtime techniques, including function interception and replacement.
Until now, the LLVM Address Sanitizer process was only available for traditional purely CPU applications. However, ROCm has extended this mechanism to additionally allow the detection of some addressing errors on the GPU in heterogeneous applications. Ideally, developers should treat heterogeneous HIP and OpenMP applications like pure CPU applications. However, this simplicity has not been achieved yet.
Refer to the documentation on LLVM Address Sanitizer with the GPU at [LLVM Address Sanitizer User Guide](understand/using_gpu_sanitizer.md).
**Note**: The beta release of LLVM Address Sanitizer for ROCm is currently tested and validated on Ubuntu 20.04.
#### Fixed Defects
The following defects are fixed in ROCm v5.7,
- Test hangs observed in HMM RCCL
- NoGpuTst test of Catch2 fails with Docker
- Failures observed with non-HMM HIP directed catch2 tests with XNACK+
- Multiple test failures and test hangs observed in hip-directed catch2 tests with xnack+
#### HIP 5.7.0
##### Optimizations
##### Added
- Added `meta_group_size`/`rank` for getting the number of tiles and rank of a tile in the partition
- Added new APIs supporting Windows only, under development on Linux
- `hipMallocMipmappedArray` for allocating a mipmapped array on the device
- `hipFreeMipmappedArray` for freeing a mipmapped array on the device
- `hipGetMipmappedArrayLevel` for getting a mipmap level of a HIP mipmapped array
- `hipMipmappedArrayCreate` for creating a mipmapped array
- `hipMipmappedArrayDestroy` for destroy a mipmapped array
- `hipMipmappedArrayGetLevel` for getting a mipmapped array on a mipmapped level
##### Changed
##### Fixed
##### Known Issues
- HIP memory type enum values currently don't support equivalent value to `cudaMemoryTypeUnregistered`, due to HIP functionality backward compatibility.
- HIP API `hipPointerGetAttributes` could return invalid value in case the input memory pointer was not allocated through any HIP API on device or host.
##### Upcoming changes for HIP in ROCm 6.0 release
- Removal of gcnarch from hipDeviceProp_t structure
- Addition of new fields in hipDeviceProp_t structure
- maxTexture1D
- maxTexture2D
- maxTexture1DLayered
- maxTexture2DLayered
- sharedMemPerMultiprocessor
- deviceOverlap
- asyncEngineCount
- surfaceAlignment
- unifiedAddressing
- computePreemptionSupported
- hostRegisterSupported
- uuid
- Removal of deprecated code -hip-hcc codes from hip code tree
- Correct hipArray usage in HIP APIs such as hipMemcpyAtoH and hipMemcpyHtoA
- HIPMEMCPY_3D fields correction to avoid truncation of "size_t" to "unsigned int" inside hipMemcpy3D()
- Renaming of 'memoryType' in hipPointerAttribute_t structure to 'type'
- Correct hipGetLastError to return the last error instead of last API call's return code
- Update hipExternalSemaphoreHandleDesc to add "unsigned int reserved[16]"
- Correct handling of flag values in hipIpcOpenMemHandle for hipIpcMemLazyEnablePeerAccess
- Remove hiparray* and make it opaque with hipArray_t
### Library Changes in ROCM 5.7.0
| Library | Version |
|---------|---------|
| hipBLAS | ⇒ [1.1.0](https://github.com/ROCmSoftwarePlatform/hipBLAS/releases/tag/rocm-5.7.0) |
| hipCUB | ⇒ [2.13.1](https://github.com/ROCmSoftwarePlatform/hipCUB/releases/tag/rocm-5.7.0) |
| hipFFT | ⇒ [1.0.12](https://github.com/ROCmSoftwarePlatform/hipFFT/releases/tag/rocm-5.7.0) |
| hipSOLVER | ⇒ [1.8.1](https://github.com/ROCmSoftwarePlatform/hipSOLVER/releases/tag/rocm-5.7.0) |
| hipSPARSE | ⇒ [2.3.8](https://github.com/ROCmSoftwarePlatform/hipSPARSE/releases/tag/rocm-5.7.0) |
| MIOpen | ⇒ [2.19.0](https://github.com/ROCmSoftwarePlatform/MIOpen/releases/tag/rocm-5.7.0) |
| rccl | ⇒ [2.17.1-1](https://github.com/ROCmSoftwarePlatform/rccl/releases/tag/rocm-5.7.0) |
| rocALUTION | ⇒ [2.1.11](https://github.com/ROCmSoftwarePlatform/rocALUTION/releases/tag/rocm-5.7.0) |
| rocBLAS | ⇒ [3.1.0](https://github.com/ROCmSoftwarePlatform/rocBLAS/releases/tag/rocm-5.7.0) |
| rocFFT | ⇒ [1.0.24](https://github.com/ROCmSoftwarePlatform/rocFFT/releases/tag/rocm-5.7.0) |
| rocm-cmake | ⇒ [0.10.0](https://github.com/RadeonOpenCompute/rocm-cmake/releases/tag/rocm-5.7.0) |
| rocPRIM | ⇒ [2.13.1](https://github.com/ROCmSoftwarePlatform/rocPRIM/releases/tag/rocm-5.7.0) |
| rocRAND | ⇒ [2.10.17](https://github.com/ROCmSoftwarePlatform/rocRAND/releases/tag/rocm-5.7.0) |
| rocSOLVER | ⇒ [3.23.0](https://github.com/ROCmSoftwarePlatform/rocSOLVER/releases/tag/rocm-5.7.0) |
| rocSPARSE | ⇒ [2.5.4](https://github.com/ROCmSoftwarePlatform/rocSPARSE/releases/tag/rocm-5.7.0) |
| rocThrust | ⇒ [2.18.0](https://github.com/ROCmSoftwarePlatform/rocThrust/releases/tag/rocm-5.7.0) |
| rocWMMA | ⇒ [1.2.0](https://github.com/ROCmSoftwarePlatform/rocWMMA/releases/tag/rocm-5.7.0) |
| Tensile | ⇒ [4.38.0](https://github.com/ROCmSoftwarePlatform/Tensile/releases/tag/rocm-5.7.0) |
#### hipBLAS 1.1.0
hipBLAS 1.1.0 for ROCm 5.7.0
##### Changed
- updated documentation requirements
##### Dependencies
- dependency rocSOLVER now depends on rocSPARSE
#### hipCUB 2.13.1
hipCUB 2.13.1 for ROCm 5.7.0
##### Changed
- CUB backend references CUB and Thrust version 2.0.1.
- Fixed `DeviceSegmentedReduce::ArgMin` and `DeviceSegmentedReduce::ArgMax` by returning the segment-relative index instead of the absolute one.
- Fixed `DeviceSegmentedReduce::ArgMin` for inputs where the segment minimum is smaller than the value returned for empty segments. An equivalent fix is applied to `DeviceSegmentedReduce::ArgMax`.
##### Known Issues
- `debug_synchronous` no longer works on CUDA platform. `CUB_DEBUG_SYNC` should be used to enable those checks.
- `DeviceReduce::Sum` does not compile on CUDA platform for mixed extended-floating-point/floating-point InputT and OutputT types.
- `DeviceHistogram::HistogramEven` fails on CUDA platform for `[LevelT, SampleIteratorT] = [int, int]`.
- `DeviceHistogram::MultiHistogramEven` fails on CUDA platform for `[LevelT, SampleIteratorT] = [int, int/unsigned short/float/double]` and `[LevelT, SampleIteratorT] = [float, double]`.
#### hipFFT 1.0.12
hipFFT 1.0.12 for ROCm 5.7.0
##### Added
- Implemented the hipfftXtMakePlanMany, hipfftXtGetSizeMany, hipfftXtExec APIs, to allow requesting half-precision transforms.
##### Changed
- Added --precision argument to benchmark/test clients. --double is still accepted but is deprecated as a method to request a double-precision transform.
#### hipSOLVER 1.8.1
hipSOLVER 1.8.1 for ROCm 5.7.0
##### Changed
- Changed hipsolver-test sparse input data search paths to be relative to the test executable
#### hipSPARSE 2.3.8
hipSPARSE 2.3.8 for ROCm 5.7.0
##### Improved
- Fix compilation failures when using cusparse 12.1.0 backend
- Fix compilation failures when using cusparse 12.0.0 backend
- Fix compilation failures when using cusparse 10.1 (non-update versions) as backend
- Minor improvements
#### MIOpen 2.19.0
MIOpen 2.19.0 for ROCm 5.7.0
##### Added
- ROCm 5.5 support for gfx1101 (Navi32)
##### Changed
- Tuning results for MLIR on ROCm 5.5
- Bumping MLIR commit to 5.5.0 release tag
##### Fixed
- Fix 3d convolution Host API bug
- [HOTFIX][MI200][FP16] Disabled ConvHipImplicitGemmBwdXdlops when FP16_ALT is required.
#### RCCL 2.17.1-1
RCCL 2.17.1-1 for ROCm 5.7.0
##### Changed
- Compatibility with NCCL 2.17.1-1
- Performance tuning for some collective operations
##### Added
- Minor improvements to MSCCL codepath
- NCCL_NCHANNELS_PER_PEER support
- Improved compilation performance
- Support for gfx94x
##### Fixed
- Potential race-condition during ncclSocketClose()
#### rocALUTION 2.1.11
rocALUTION 2.1.11 for ROCm 5.7.0
##### Added
- Added support for gfx940, gfx941 and gfx942
##### Improved
- Fixed OpenMP runtime issue with Windows toolchain
#### rocBLAS 3.1.0
rocBLAS 3.1.0 for ROCm 5.7.0
##### Added
- yaml lock step argument scanning for rocblas-bench and rocblas-test clients. See Programmers Guide for details.
- rocblas-gemm-tune is used to find the best performing GEMM kernel for each of a given set of GEMM problems.
##### Fixed
- make offset calculations for rocBLAS functions 64 bit safe. Fixes for very large leading dimensions or increments potentially causing overflow:
- Level 1: axpy, copy, rot, rotm, scal, swap, asum, dot, iamax, iamin, nrm2
- Level 2: gemv, symv, hemv, trmv, ger, syr, her, syr2, her2, trsv
- Level 3: gemm, symm, hemm, trmm, syrk, herk, syr2k, her2k, syrkx, herkx, trsm, trtri, dgmm, geam
- General: set_vector, get_vector, set_matrix, get_matrix
- Related fixes: internal scalar loads with &gt; 32bit offsets
- fix in-place functionality for all trtri sizes
##### Changed
- dot when using rocblas_pointer_mode_host is now synchronous to match legacy BLAS as it stores results in host memory
- enhanced reporting of installation issues caused by runtime libraries (Tensile)
- standardized internal rocblas C++ interface across most functions
##### Deprecated
- Removal of __STDC_WANT_IEC_60559_TYPES_EXT__ define in future release
##### Dependencies
- optional use of AOCL BLIS 4.0 on Linux for clients
- optional build tool only dependency on python psutil
#### rocFFT 1.0.24
rocFFT 1.0.24 for ROCm 5.7.0
##### Optimizations
- Improved performance of complex forward/inverse 1D FFTs (2049 &lt;= length &lt;= 131071) that use Bluestein&#39;s algorithm.
##### Added
- Implemented a solution map version converter and finish the first conversion from ver.0 to ver.1. Where version 1 removes some incorrect kernels (sbrc/sbcr using half_lds)
##### Changed
- Moved rocfft_rtc_helper executable to lib/rocFFT directory on Linux.
- Moved library kernel cache to lib/rocFFT directory.
#### rocm-cmake 0.10.0
rocm-cmake 0.10.0 for ROCm 5.7.0
##### Added
- Added ROCMTest module
- ROCMCreatePackage: Added support for ASAN packages
#### rocPRIM 2.13.1
rocPRIM 2.13.1 for ROCm 5.7.0
##### Changed
- Deprecated configuration `radix_sort_config` for device-level radix sort as it no longer matches the algorithm&#39;s parameters. New configuration `radix_sort_config_v2` is preferred instead.
- Removed erroneous implementation of device-level `inclusive_scan` and `exclusive_scan`. The prior default implementation using lookback-scan now is the only available implementation.
- The benchmark metric indicating the bytes processed for `exclusive_scan_by_key` and `inclusive_scan_by_key` has been changed to incorporate the key type. Furthermore, the benchmark log has been changed such that these algorithms are reported as `scan` and `scan_by_key` instead of `scan_exclusive` and `scan_inclusive`.
- Deprecated configurations `scan_config` and `scan_by_key_config` for device-level scans, as they no longer match the algorithm&#39;s parameters. New configurations `scan_config_v2` and `scan_by_key_config_v2` are preferred instead.
##### Fixed
- Fixed build issue caused by missing header in `thread/thread_search.hpp`.
#### rocRAND 2.10.17
rocRAND 2.10.17 for ROCm 5.7.0
##### Added
- MT19937 pseudo random number generator based on M. Matsumoto and T. Nishimura, 1998, Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator.
- New benchmark for the device API using Google Benchmark, `benchmark_rocrand_device_api`, replacing `benchmark_rocrand_kernel`. `benchmark_rocrand_kernel` is deprecated and will be removed in a future version. Likewise, `benchmark_curand_host_api` is added to replace `benchmark_curand_generate` and `benchmark_curand_device_api` is added to replace `benchmark_curand_kernel`.
- experimental HIP-CPU feature
- ThreeFry pseudorandom number generator based on Salmon et al., 2011, &#34;Parallel random numbers: as easy as 1, 2, 3&#34;.
##### Changed
- Python 2.7 is no longer officially supported.
#### rocSOLVER 3.23.0
rocSOLVER 3.23.0 for ROCm 5.7.0
##### Added
- LU factorization without pivoting for block tridiagonal matrices:
- GEBLTTRF_NPVT now supports interleaved\_batched format
- Linear system solver without pivoting for block tridiagonal matrices:
- GEBLTTRS_NPVT now supports interleaved\_batched format
##### Fixed
- Fixed stack overflow in sparse tests on Windows
##### Changed
- Changed rocsolver-test sparse input data search paths to be relative to the test executable
- Changed build scripts to default to compressed debug symbols in Debug builds
#### rocSPARSE 2.5.4
rocSPARSE 2.5.4 for ROCm 5.7.0
##### Added
- Added more mixed precisions for SpMV, (matrix: float, vectors: double, calculation: double) and (matrix: rocsparse_float_complex, vectors: rocsparse_double_complex, calculation: rocsparse_double_complex)
- Added support for gfx940, gfx941 and gfx942
##### Improved
- Fixed a bug in csrsm and bsrsm
##### Known Issues
In csritlu0, the algorithm rocsparse_itilu0_alg_sync_split_fusion has some accuracy issues to investigate with XNACK enabled. The fallback is rocsparse_itilu0_alg_sync_split.
#### rocThrust 2.18.0
rocThrust 2.18.0 for ROCm 5.7.0
##### Fixed
- `lower_bound`, `upper_bound`, and `binary_search` failed to compile for certain types.
- Fixed issue where `transform_iterator` would not compile with `__device__`-only operators.
##### Changed
- Updated `docs` directory structure to match the standard of [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core).
- Removed references to and workarounds for deprecated hcc
#### rocWMMA 1.2.0
rocWMMA 1.2.0 for ROCm 5.7.0
##### Changed
- Fixed a bug with synchronization
- Updated rocWMMA cmake versioning
#### Tensile 4.38.0
Tensile 4.38.0 for ROCm 5.7.0
##### Added
- Added support for FP16 Alt Round Near Zero Mode (this feature allows the generation of alternate kernels with intermediate rounding instead of truncation)
- Added user-driven solution selection feature
##### Optimizations
- Enabled LocalSplitU with MFMA for I8 data type
- Optimized K mask code in mfmaIter
- Enabled TailLoop code in NoLoadLoop to prefetch global/local read
- Enabled DirectToVgpr in TailLoop for NN, TN, and TT matrix orientations
- Optimized DirectToLds test cases to reduce the test duration
##### Changed
- Removed DGEMM NT custom kernels and related test cases
- Changed noTailLoop logic to apply noTailLoop only for NT
- Changed the range of AssertFree0ElementMultiple and Free1
- Unified aStr, bStr generation code in mfmaIter
##### Fixed
- Fixed LocalSplitU mismatch issue for SGEMM
- Fixed BufferStore=0 and Ldc != Ldd case
- Fixed mismatch issue with TailLoop + MatrixInstB &gt; 1

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@@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
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fetch="http://github.com/RadeonOpenCompute/" />
<remote name="rocm-devtools"
fetch="https://github.com/ROCm-Developer-Tools/" />
<remote name="rocm-swplat"
@@ -12,68 +12,73 @@ fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
fetch="https://github.com/GPUOpen-Tools/" />
<remote name="KhronosGroup"
fetch="https://github.com/KhronosGroup/" />
<default revision="refs/tags/rocm-5.7.0"
remote="roc-github"
sync-c="true"
sync-j="4" />
<default revision="refs/tags/rocm-3.9.0"
remote="roc-github"
sync-c="true"
sync-j="4" />
<!--list of projects for ROCM-->
<project name="ROCK-Kernel-Driver" />
<project name="ROCT-Thunk-Interface" />
<project name="ROCR-Runtime" />
<project name="amdsmi" />
<project name="rocm_smi_lib" />
<project name="rocm-core" />
<project name="ROC-smi" />
<project name="rocm_smi_lib" remote="roc-github" />
<project name="rocm-cmake" />
<project name="rocminfo" />
<project name="rocm_bandwidth_test" />
<project name="rocprofiler" remote="rocm-devtools" />
<project name="roctracer" remote="rocm-devtools" />
<project name="ROCm-OpenCL-Runtime" />
<project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="6c03f8b58fafd9dd693eaac826749a5cfad515f8" />
<project name="clang-ocl" />
<project name="rdc" />
<!--HIP Projects-->
<project name="HIP" remote="rocm-devtools" />
<project name="HIP-Examples" remote="rocm-devtools" />
<project name="clr" 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" />
<project name="llvm-project" path="llvm_amd-stg-open" />
<project name="ROCm-Device-Libs" />
<project name="atmi" />
<project name="ROCm-CompilerSupport" />
<project name="half" remote="rocm-swplat" revision="37742ce15b76b44e4b271c1e66d13d2fa7bd003e" />
<project name="rocr_debug_agent" remote="rocm-devtools" />
<project name="rocm_bandwidth_test" />
<project name="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
<!-- gdb projects -->
<project name="ROCgdb" remote="rocm-devtools" />
<project name="ROCdbgapi" remote="rocm-devtools" />
<project name="rocr_debug_agent" remote="rocm-devtools" />
<!-- ROCm Libraries -->
<project groups="mathlibs" name="rocBLAS" remote="rocm-swplat" />
<project groups="mathlibs" name="Tensile" remote="rocm-swplat" />
<project groups="mathlibs" name="hipTensor" 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 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 groups="mathlibs" name="rccl" remote="rocm-swplat" />
<project name="rocMLIR" remote="rocm-swplat" />
<project name="rocBLAS" remote="rocm-swplat" />
<project name="hipBLAS" remote="rocm-swplat" />
<project name="rocFFT" remote="rocm-swplat" />
<project name="rocRAND" remote="rocm-swplat" />
<project name="rocSPARSE" remote="rocm-swplat" />
<project name="rocSOLVER" remote="rocm-swplat" />
<project name="hipSPARSE" remote="rocm-swplat" />
<project name="rocALUTION" remote="rocm-swplat" />
<project name="MIOpenGEMM" remote="rocm-swplat" />
<project name="MIOpen" remote="rocm-swplat" />
<project name="composable_kernel" remote="rocm-swplat" />
<project name="rccl" remote="rocm-swplat" />
<project name="MIVisionX" remote="gpuopen-libs" />
<project name="rpp" remote="gpuopen-libs" />
<project name="rocThrust" remote="rocm-swplat" />
<project name="hipCUB" remote="rocm-swplat" />
<project name="rocPRIM" remote="rocm-swplat" />
<project name="hipfort" remote="rocm-swplat" />
<project name="AMDMIGraphX" remote="rocm-swplat" />
<project name="ROCmValidationSuite" remote="rocm-devtools" />
<!-- Projects for AOMP -->
<project name="ROCT-Thunk-Interface" path="aomp/roct-thunk-interface" remote="roc-github" />
<project name="ROCR-Runtime" path="aomp/rocr-runtime" remote="roc-github" />
<project name="ROCm-Device-Libs" path="aomp/rocm-device-libs" remote="roc-github" />
<project name="ROCm-CompilerSupport" path="aomp/rocm-compilersupport" remote="roc-github" />
<project name="rocminfo" path="aomp/rocminfo" remote="roc-github" />
<project name="HIP" path="aomp/hip-on-vdi" remote="rocm-devtools" />
<project name="aomp" path="aomp/aomp" remote="rocm-devtools" />
<project name="aomp-extras" path="aomp/aomp-extras" remote="rocm-devtools" />
<project name="flang" path="aomp/flang" remote="rocm-devtools" />
<project name="amd-llvm-project" path="aomp/amd-llvm-project" remote="rocm-devtools" />
<project name="ROCclr" path="aomp/vdi" remote="rocm-devtools" />
<project name="ROCm-OpenCL-Runtime" path="aomp/opencl-on-vdi" remote="roc-github" />
<!-- 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="aomp" path="openmp-extras/aomp" remote="rocm-devtools" revision="refs/tags/rocm-uc-3.9.0" />
<project name="aomp-extras" path="openmp-extras/aomp-extras" remote="rocm-devtools" revision="refs/tags/rocm-uc-3.9.0" />
<project name="flang" path="openmp-extras/flang" remote="rocm-devtools" revision="refs/tags/rocm-uc-3.9.0" />
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View File

@@ -1,3 +0,0 @@
# 404 - Page Not Found
Return [home](./index) or use the sidebar navigation to get back on track.

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.
## `rocm-docs-core`
[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 use as part of the documentation
build. It is also available as a [pip package on PyPI](https://pypi.org/project/rocm-docs-core/).
See the user and developer guides for rocm-docs-core at {doc}`rocm-docs-core documentation <rocm-docs-core:index>`.
## 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 reStructuredText (RST) based documentation, but
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.
## Read the Docs
[Read the Docs](https://docs.readthedocs.io/en/stable/) is the service that builds
and hosts the HTML documentation generated using Sphinx to our end users.
## Doxygen
[Doxygen](https://www.doxygen.nl/) is a documentation generator that extracts
information from inline code.
ROCm projects typically use Doxygen for public API documentation unless the
upstream project uses a different tool.
### Breathe
[Breathe](https://www.breathe-doc.org/) is a Sphinx plugin to integrate Doxygen
content.
### 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 into ROCm documentation by the Sphinx extension [`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 External TOC
[Sphinx External Table of Contents (TOC)](https://sphinx-external-toc.readthedocs.io/en/latest/intro.html)
is a Sphinx extension used for ROCm documentation navigation. This tool generates a navigation menu on the left
based on a YAML file that specifies the table of contents.
It 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.
### Sphinx Book Theme
[Sphinx Book Theme](https://sphinx-book-theme.readthedocs.io/en/latest/) is a Sphinx theme
that defines the base appearance for ROCm documentation.
ROCm documentation applies some customization,
such as a custom header and footer on top of the Sphinx Book Theme.
### Sphinx Design
[Sphinx Design](https://sphinx-design.readthedocs.io/en/latest/index.html) is a Sphinx extension that adds design
functionality.
ROCm documentation uses Sphinx Design for grids, cards, and synchronized tabs.

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@@ -1,125 +0,0 @@
# ROCm licensing terms
ROCm™ is released by Advanced Micro Devices, Inc. and is licensed per component separately.
The following table is a list of ROCm components with links to their respective license
terms. These components may include third party components subject to
additional licenses. Please review individual repositories for more information.
The table shows ROCm components, license name, and link to the license terms.
<!-- spellcheck-disable -->
| Component | License |
|:------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------:|
| [AMDMIGraphX](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/) | [MIT](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/blob/develop/LICENSE) |
| [HIPCC](https://github.com/ROCm-Developer-Tools/HIPCC/blob/develop/LICENSE.txt) | [MIT](https://github.com/ROCm-Developer-Tools/HIPCC/blob/develop/LICENSE.txt) |
| [HIPIFY](https://github.com/ROCm-Developer-Tools/HIPIFY/) | [MIT](https://github.com/ROCm-Developer-Tools/HIPIFY/blob/amd-staging/LICENSE.txt) |
| [HIP](https://github.com/ROCm-Developer-Tools/HIP/) | [MIT](https://github.com/ROCm-Developer-Tools/HIP/blob/develop/LICENSE.txt) |
| [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/) | [MIT](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/blob/master/LICENSE.txt) |
| [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/) | [MIT](https://github.com/ROCmSoftwarePlatform/MIOpen/blob/master/LICENSE.txt) |
| [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/) | [MIT](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/blob/master/LICENSE.txt) |
| [RCP](https://github.com/GPUOpen-Tools/radeon_compute_profiler/) | [MIT](https://github.com/GPUOpen-Tools/radeon_compute_profiler/blob/master/LICENSE) |
| [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/) | [GPL 2.0 WITH Linux-syscall-note](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/blob/master/COPYING) |
| [ROCR-Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/ROCR-Runtime/blob/master/LICENSE.txt) |
| [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/) | [MIT](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/blob/master/LICENSE.md) |
| [ROCclr](https://github.com/ROCm-Developer-Tools/ROCclr/) | [MIT](https://github.com/ROCm-Developer-Tools/ROCclr/blob/develop/LICENSE.txt) |
| [ROCdbgapi](https://github.com/ROCm-Developer-Tools/ROCdbgapi/) | [MIT](https://github.com/ROCm-Developer-Tools/ROCdbgapi/blob/amd-master/LICENSE.txt) |
| [ROCgdb](https://github.com/ROCm-Developer-Tools/ROCgdb/) | [GNU General Public License v2.0](https://github.com/ROCm-Developer-Tools/ROCgdb/blob/amd-master/COPYING) |
| [ROCm-CompilerSupport](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/blob/amd-stg-open/LICENSE.txt) |
| [ROCm-Device-Libs](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/blob/amd-stg-open/LICENSE.TXT) |
| [ROCm-OpenCL-Runtime/api/opencl/khronos/icd](https://github.com/KhronosGroup/OpenCL-ICD-Loader/) | [Apache 2.0](https://github.com/KhronosGroup/OpenCL-ICD-Loader/blob/main/LICENSE) |
| [ROCm-OpenCL-Runtime](https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/) | [MIT](https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/blob/develop/LICENSE.txt) |
| [ROCmValidationSuite](https://github.com/ROCm-Developer-Tools/ROCmValidationSuite/) | [MIT](https://github.com/ROCm-Developer-Tools/ROCmValidationSuite/blob/master/LICENSE) |
| [Tensile](https://github.com/ROCmSoftwarePlatform/Tensile/) | [MIT](https://github.com/ROCmSoftwarePlatform/Tensile/blob/develop/LICENSE.md) |
| [aomp-extras](https://github.com/ROCm-Developer-Tools/aomp-extras/) | [MIT](https://github.com/ROCm-Developer-Tools/aomp-extras/blob/aomp-dev/LICENSE) |
| [aomp](https://github.com/ROCm-Developer-Tools/aomp/) | [Apache 2.0](https://github.com/ROCm-Developer-Tools/aomp/blob/aomp-dev/LICENSE) |
| [atmi](https://github.com/RadeonOpenCompute/atmi/) | [MIT](https://github.com/RadeonOpenCompute/atmi/blob/master/LICENSE.txt) |
| [clang-ocl](https://github.com/RadeonOpenCompute/clang-ocl/) | [MIT](https://github.com/RadeonOpenCompute/clang-ocl/blob/master/LICENSE) |
| [flang](https://github.com/ROCm-Developer-Tools/flang/) | [Apache 2.0](https://github.com/ROCm-Developer-Tools/flang/blob/master/LICENSE.txt) |
| [half](https://github.com/ROCmSoftwarePlatform/half/) | [MIT](https://github.com/ROCmSoftwarePlatform/half/blob/master/LICENSE.txt) |
| [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipBLAS/blob/develop/LICENSE.md) |
| [hipCUB](https://github.com/ROCmSoftwarePlatform/hipCUB/) | [Custom](https://github.com/ROCmSoftwarePlatform/hipCUB/blob/develop/LICENSE.txt) |
| [hipFFT](https://github.com/ROCmSoftwarePlatform/hipFFT/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipFFT/blob/develop/LICENSE.md) |
| [hipSOLVER](https://github.com/ROCmSoftwarePlatform/hipSOLVER/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipSOLVER/blob/develop/LICENSE.md) |
| [hipSPARSELt](https://github.com/ROCmSoftwarePlatform/hipSPARSELt/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipSPARSELt/blob/develop/LICENSE.md) |
| [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipSPARSE/blob/develop/LICENSE.md) |
| [hipTensor](https://github.com/ROCmSoftwarePlatform/hipTensor) | [MIT](https://github.com/ROCmSoftwarePlatform/hipTensor/blob/develop/LICENSE) |
| [hipamd](https://github.com/ROCm-Developer-Tools/hipamd/) | [MIT](https://github.com/ROCm-Developer-Tools/hipamd/blob/develop/LICENSE.txt) |
| [hipfort](https://github.com/ROCmSoftwarePlatform/hipfort/) | [MIT](https://github.com/ROCmSoftwarePlatform/hipfort/blob/master/LICENSE) |
| [llvm-project](https://github.com/ROCm-Developer-Tools/llvm-project/) | [Apache](https://github.com/ROCm-Developer-Tools/llvm-project/blob/main/LICENSE.TXT) |
| [rccl](https://github.com/ROCmSoftwarePlatform/rccl/) | [Custom](https://github.com/ROCmSoftwarePlatform/rccl/blob/develop/LICENSE.txt) |
| [rdc](https://github.com/RadeonOpenCompute/rdc/) | [MIT](https://github.com/RadeonOpenCompute/rdc/blob/master/LICENSE) |
| [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocALUTION/blob/develop/LICENSE.md) |
| [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/LICENSE.md) |
| [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocFFT/blob/develop/LICENSE.md) |
| [rocPRIM](https://github.com/ROCmSoftwarePlatform/rocPRIM/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocPRIM/blob/develop/LICENSE.txt) |
| [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocRAND/blob/develop/LICENSE.txt) |
| [rocSOLVER](https://github.com/ROCmSoftwarePlatform/rocSOLVER/) | [BSD-2-Clause](https://github.com/ROCmSoftwarePlatform/rocSOLVER/blob/develop/LICENSE.md) |
| [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocSPARSE/blob/develop/LICENSE.md) |
| [rocThrust](https://github.com/ROCmSoftwarePlatform/rocThrust/) | [Apache 2.0](https://github.com/ROCmSoftwarePlatform/rocThrust/blob/develop/LICENSE) |
| [rocWMMA](https://github.com/ROCmSoftwarePlatform/rocWMMA/) | [MIT](https://github.com/ROCmSoftwarePlatform/rocWMMA/blob/develop/LICENSE.md) |
| [rocm-cmake](https://github.com/RadeonOpenCompute/rocm-cmake/) | [MIT](https://github.com/RadeonOpenCompute/rocm-cmake/blob/develop/LICENSE) |
| [rocm_bandwidth_test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/blob/master/LICENSE.txt) |
| [rocm_smi_lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/rocm_smi_lib/blob/master/License.txt) |
| [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/) | [The University of Illinois/NCSA](https://github.com/RadeonOpenCompute/rocminfo/blob/master/License.txt) |
| [rocprofiler](https://github.com/ROCm-Developer-Tools/rocprofiler/) | [MIT](https://github.com/ROCm-Developer-Tools/rocprofiler/blob/amd-master/LICENSE) |
| [rocr_debug_agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/) | [The University of Illinois/NCSA](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/blob/master/LICENSE.txt) |
| [roctracer](https://github.com/ROCm-Developer-Tools/roctracer/) | [MIT](https://github.com/ROCm-Developer-Tools/roctracer/blob/amd-master/LICENSE) |
| rocm-llvm-alt | [AMD Proprietary License](https://www.amd.com/en/support/amd-software-eula)
Open sourced ROCm components are released via public GitHub
repositories, packages on https://repo.radeon.com and other distribution channels.
Proprietary products are only available on https://repo.radeon.com. Currently, only
one component of ROCm, rocm-llvm-alt is governed by a proprietary license.
Proprietary components are organized in a proprietary subdirectory in the package
repositories to distinguish from open sourced packages.
The additional terms and conditions below apply to your use of ROCm technical
documentation.
©2023 Advanced Micro Devices, Inc. All rights reserved.
The information presented in this document is for informational purposes only
and may contain technical inaccuracies, omissions, and typographical errors. The
information contained herein is subject to change and may be rendered inaccurate
for many reasons, including but not limited to product and roadmap changes,
component and motherboard version changes, new model and/or product releases,
product differences between differing manufacturers, software changes, BIOS
flashes, firmware upgrades, or the like. Any computer system has risks of
security vulnerabilities that cannot be completely prevented or mitigated. AMD
assumes no obligation to update or otherwise correct or revise this information.
However, AMD reserves the right to revise this information and to make changes
from time to time to the content hereof without obligation of AMD to notify any
person of such revisions or changes.
THIS INFORMATION IS PROVIDED “AS IS.” AMD MAKES NO REPRESENTATIONS OR WARRANTIES
WITH RESPECT TO THE CONTENTS HEREOF AND ASSUMES NO RESPONSIBILITY FOR ANY
INACCURACIES, ERRORS, OR OMISSIONS THAT MAY APPEAR IN THIS INFORMATION. AMD
SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF NON-INFRINGEMENT,
MERCHANTABILITY, OR FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT WILL AMD BE
LIABLE TO ANY PERSON FOR ANY RELIANCE, DIRECT, INDIRECT, SPECIAL, OR OTHER
CONSEQUENTIAL DAMAGES ARISING FROM THE USE OF ANY INFORMATION CONTAINED HEREIN,
EVEN IF AMD IS EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
AMD, the AMD Arrow logo, ROCm, and combinations thereof are trademarks of
Advanced Micro Devices, Inc. Other product names used in this publication are
for identification purposes only and may be trademarks of their respective
companies.
## Package licensing
```{attention}
AQL Profiler and AOCC CPU optimization are both provided in binary form, each
subject to the license agreement enclosed in the directory for the binary and is
available here: `/opt/rocm/share/doc/rocm-llvm-alt/EULA`. By using, installing,
copying or distributing AQL Profiler and/or AOCC CPU Optimizations, you agree to
the terms and conditions of this license agreement. If you do not agree to the
terms of this agreement, do not install, copy or use the AQL Profiler and/or the
AOCC CPU Optimizations.
```
For the rest of the ROCm packages, you can find the licensing information at the
following location: `/opt/rocm/share/doc/<component-name>/`
For example, you can fetch the licensing information of the `_amd_comgr_`
component (Code Object Manager) from the `amd_comgr` folder. A file named
`LICENSE.txt` contains the license details at:
`/opt/rocm-5.4.3/share/doc/amd_comgr/LICENSE.txt`

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@@ -1,104 +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')
latex_engine = "xelatex"
latex_elements = {
"fontpkg": r"""
\usepackage{tgtermes}
\usepackage{tgheros}
\renewcommand\ttdefault{txtt}
"""
}
# 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 = "5.7.0"
release = "5.7.0"
setting_all_article_info = True
all_article_info_os = ["linux", "windows"]
all_article_info_author = ""
# pages with specific settings
article_pages = [
{
"file":"release",
"os":["linux", "windows"],
"date":"2023-07-27"
},
{"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":"deploy/windows/cli/index", "os":["windows"]},
{"file":"deploy/windows/cli/install", "os":["windows"]},
{"file":"deploy/windows/cli/uninstall", "os":["windows"]},
{"file":"deploy/windows/cli/upgrade", "os":["windows"]},
{"file":"deploy/windows/gui/index", "os":["windows"]},
{"file":"deploy/windows/gui/install", "os":["windows"]},
{"file":"deploy/windows/gui/uninstall", "os":["windows"]},
{"file":"deploy/windows/gui/upgrade", "os":["windows"]},
{"file":"deploy/windows/index", "os":["windows"]},
{"file":"deploy/windows/prerequisites", "os":["windows"]},
{"file":"deploy/windows/quick_start", "os":["windows"]},
{"file":"release/gpu_os_support", "os":["linux"]},
{"file":"release/windows_support", "os":["windows"]},
{"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 5.7.0 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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@@ -1,165 +0,0 @@
# 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.
## Pull Request 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 a URL of the form
`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 documentation from the Command Line
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.
## Build documentation using Visual Studio (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-served 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 above are used for the following reasons:
- `liveServer.settings.root`: Sets the root of the output website for live previews. Must be changed
alongside the `tasks.json` command.
- `liveServer.settings.wait`: Tells live server to wait with the update to give time for Sphinx to
regenerate site contents and not refresh before all is done. (Empirical value)
- `python.terminal.activateEnvInCurrentTerminal`: Automatic virtual environment 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 drop down 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.

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@@ -1,27 +0,0 @@
# How to provide feedback for ROCm documentation
There are four 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)
targeting the develop branch of the repository. If you are unable to contribute
via the GitHub Flow, feel free to email us.
## GitHub Discussions
To ask questions or view answers to frequently asked questions, refer to
[GitHub Discussions](https://github.com/RadeonOpenCompute/ROCm/discussions).
On GitHub Discussions, in addition to asking and answering questions,
members can share updates, have open-ended conversations,
and follow along on via public announcements.
## GitHub Issue
Issues on existing or absent docs can be filed as
[GitHub Issues](https://github.com/RadeonOpenCompute/ROCm/issues).
## Email
Send other feedback or questions to [rocm-feedback@amd.com](rocm-feedback@amd.com)

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