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147 Commits

Author SHA1 Message Date
Peter Park
c9f487fd07 [docs/7.0-alpha] Add pointers to latest documentation (#5384)
* add beta to version history

* Update preview versions list

* add pointers to latest docs
2025-09-18 12:21:22 -04:00
Peter Park
d504e8fe48 [docs/7.0-alpha] Update preview versions list (#5171) 2025-08-08 10:11:30 -04:00
Peter Park
77479d3a6f add beta to version history 2025-07-24 17:42:51 -04:00
Peter Park
5f9ad0a8f6 [docs/7.0-alpha] Add vLLM inference benchmark doc + some fixes (#5093)
* Add vLLM doc + minor fixes

* fix typo in docker pull tag "X" -> "x"

* add docker hub links
2025-07-23 14:53:05 -04:00
Peter Park
ec32659e4c fix sglang typo (#5036) 2025-07-11 18:46:50 -04:00
Peter Park
6f12c1c0df update wordlist and index 2025-07-11 18:35:26 -04:00
Peter Park
8d33b3add1 add sglang inference docker page 2025-07-11 18:35:26 -04:00
Peter Park
9ea7a4a430 Add Alpha 2 to versions list (#5032) 2025-07-10 16:53:59 -04:00
Peter Park
f10305cd30 Fix repo.radeon.com link in alpha release notes (#5024)
* fix repo.radeon.com link in alpha release notes

* add "6.4.1"
2025-07-09 20:09:08 -04:00
Peter Park
6e8db283f0 Remove unused files and minor fixes in 7.0 alpha doc (#5023)
* add preview versions list

* fix typo

* clarify hip compatibility note

* megatron bf16 cmd opts

* fix versions list url

* add missing backslack
2025-07-09 17:38:27 -04:00
Peter Park
f445c554ec Merge pull request #4999 from peterjunpark/docs/7.0-alpha
Add docs for Alpha training Dockers
2025-07-02 21:18:44 -04:00
Peter Park
2c60d2f776 remove extra xref in training.rst 2025-07-02 19:32:35 -04:00
Peter Park
f62339a857 update .wordlist.txt 2025-07-02 19:30:44 -04:00
Peter Park
dc5cac0fbf add alpha training docker docs 2025-07-02 19:28:26 -04:00
Alex Xu
8c7378ba71 use rocm-docs-core develop branch 2025-06-26 16:57:18 -04:00
Alex Xu
dcc949f441 upgrade rocm-docs-core to 1.21.1 2025-06-26 16:49:21 -04:00
Alex Xu
a4b1b2cc67 rocm-docs-core experiment 2025-06-26 15:58:18 -04:00
Peter Park
4f592f8949 [docs/7.0.0-alpha] Add docs for 7.0 alpha (#4978) 2025-06-26 15:47:42 -04:00
Daniel Su
ac2df2961d [Ex CI] add component name to artifact download filter (#4974) 2025-06-26 13:55:03 -04:00
Daniel Su
f20e8dec8b [Ex CI] revert PRIM default branch to develop (#4960) 2025-06-23 16:35:02 -04:00
Daniel Su
10e9157f39 [Ex CI] allow rerun jobs to upload artifacts (#4959) 2025-06-23 15:37:52 -04:00
Daniel Su
a2ce6021cb [Ex CI] add more OSs to nightly build (#4958) 2025-06-23 15:13:11 -04:00
Peter Park
2196fc9a2f Fix pytorch training 25.6 doc (#4956)
* fix pytorch-training history

* fix pytorch-training

fix
2025-06-23 13:45:50 -04:00
Daniel Su
925689f89e [Ex CI] enable gfx1100 builds (#4954) 2025-06-23 11:26:35 -04:00
Peter Park
91a541f8b9 Update PyTorch training benchmark doc for v25.6 (#4950)
* update pytorch-training docker details

* add previous version

* add models data

* update models data id

* add models picker

* update data

* update fmt

fmt

* update data yaml

* update template

* update data

* fix

* fix vllm-0.6.4 broken link

* fix vllm history
2025-06-23 09:26:15 -04:00
Peter Park
34f8d57ece Organize version histories in ROCm for AI benchmark Docker docs (#4948)
* add vllm 0.8.3 20250415

update prev versions table

* add vllm previous versions page

* move index to vllm-history

* add standalone megatron-lm version history

* add pytorch training version history

* fix

* add vllm-0.4.3

* add vllm-0.6.4

* update vllm-history

* add vllm-0.7.3

* add vllm-0.6.6

* add notes

* fix vllm readme links

fix main page link

* add latest version to previous versions list

* add jax-maxtext history

* fix jax-maxtext history

* add pytorch-training history

* add link in jax-maxtext 25.4

* add megatron-lm history

* fix datatemplate path for vllm 0.8.3

* fix jax-maxtext history link

* update note about performance measurements

* add vllm 0.8.5_20250521 previous version

* consistency fixes
2025-06-20 15:01:38 -04:00
yugang-amd
55f95adc7c Update for vllm -06/10 (#4943) 2025-06-20 08:41:37 -04:00
Daniel Su
e05b1702d8 [Ex CI] fix experimental HIP to CLR triggers (#4946) 2025-06-19 12:56:53 -04:00
Daniel Su
4179042cf7 [Ex CI] add multi-OS support to copyHIP (#4945) 2025-06-19 12:15:22 -04:00
dependabot[bot]
ae2de81b79 Build(deps): Bump urllib3 from 2.4.0 to 2.5.0 in /docs/sphinx (#4942)
Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.4.0 to 2.5.0.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/2.4.0...2.5.0)

---
updated-dependencies:
- dependency-name: urllib3
  dependency-version: 2.5.0
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-06-19 09:03:29 -06:00
Daniel Su
efd6cec4a4 [Ex CI] disable downstream triggers for mathlibs not yet migrated (#4936) 2025-06-18 14:10:58 -04:00
Daniel Su
b65996587f [Ex CI] remove ALLOWED_PARTIAL_SUCCEED_BUILDS library variable (#4937) 2025-06-18 12:10:04 -04:00
yugang-amd
7b7eaf69f2 remove broken xref (#4939) 2025-06-18 10:15:53 -04:00
Daniel Su
4cfc8ddad2 [Ex CI] MIVisionX: add hipBLASLt to build deps (#4931) 2025-06-17 13:40:35 -04:00
Daniel Su
97ebbb227d [Ex CI] rocprof-sdk: add cmake, libsqlite3-dev (#4935) 2025-06-17 13:40:15 -04:00
Daniel Su
8c6a1726fe [Ex CI] remove old aqlprofile param in Pytorch (#4927) 2025-06-16 15:17:23 -04:00
Daniel Su
2656143c9e [Ex CI] fix ROCm versions (#4930) 2025-06-16 11:42:51 -04:00
Daniel Su
7910841c94 [Ex CI] rccl: use vendored gtest, use GPU_TARGETS flag (#4929) 2025-06-16 11:35:20 -04:00
Daniel Su
30fec8f74a [Ex CI] update ROCm versioning (#4928) 2025-06-16 11:31:19 -04:00
Daniel Su
1923f801e0 [Ex CI] fix hipRAND multi-OS tests, Tensile sparse dir (#4923) 2025-06-13 16:21:13 -04:00
Peter Park
d69037bfcc Fix Sphinx issue in vllm-benchmark 0.8.5-20250513 previous version (#4924)
* fix sphinx issue in vllm-benchmark 0.8.5-20250513 previous version

* update article_info in conf.py

* update rocm/vllm
2025-06-13 15:03:51 -04:00
Daniel Su
7ac6aa4084 [Ex CI] add OS support to monorepo downstream triggers (#4920) 2025-06-13 12:26:05 -04:00
Daniel Su
14f3c42320 [Ex CI] Tensile almalinux8 builds (#4915) 2025-06-12 16:43:55 -04:00
Daniel Su
67be6f6249 [Ex CI] migrate roc/hipRAND pipelines, change migrated mathlibs's default branch to rocm-rel-7.0 (#4918)
* [Ex CI] migrate roc/hipRAND pipeline IDs to monorepo

* [Ex CI] change migrated mathlibs's default branch to rocm-rel-7.0
2025-06-12 15:39:41 -04:00
powderluv
2502fc5bcf Update README.md to point to TheRock (#4907)
* Update README.md to point to TheRock

Point to TheRock build system to build ROCm

* Update README.md

---------

Co-authored-by: David Galiffi <dgaliffi@amd.com>
Co-authored-by: alexxu-amd <159800977+alexxu-amd@users.noreply.github.com>
2025-06-12 10:44:34 -04:00
Pratik Basyal
61c6749a10 Link to 6.4.1 updated from internal to public (#4913) 2025-06-10 16:59:52 -04:00
Daniel Su
8e8104c811 [Ex CI] add new rocprof-compute pip packages (#4905) 2025-06-10 16:06:51 -04:00
Peter Park
cfb3504d77 Add Mochi Video to pytorch-inference-benchmark-models.yaml
Add Mochi Video to pytorch-inference-benchmark-models.yaml
2025-06-10 13:18:41 -04:00
Joseph Macaranas
3602bc5142 [External CI] Revert hip/clr workaround (#4908)
- Undo workaround for hip/clr.
- Build latest hip/clr and deal with fallout.
- Issues need to be caught and escalated.
2025-06-10 11:13:14 -04:00
Scott Todd
cf4a8ecf28 Advertise TheRock near the top of README.md. (#4906) 2025-06-09 20:20:55 -07:00
Daniel Su
a5aae151b7 [Ex CI] shard rocPRIM tests across 3 runners (#4895) 2025-06-09 15:52:35 -04:00
Alex Xu
685457834a upgrade rocm-docs-core to 1.20.1 2025-06-09 14:53:09 -04:00
Joseph Macaranas
1c715356b6 [External CI] More AlmaLinux 8 Pipelines (#4898)
Added AlmaLinux 8 Pipeline Support
- aomp
- HIPIFY
- rocDecode
- ROCgdb
- rocJPEG
- rocprofiler
- aqlprofile dependency template
- build autotools template
- download latest cmake template

Pipeline Changes
- More gfx build targets.
- Copying llvm-lit to the llvm-project published artifacts.
- HIPIFY now uses our built version of llvm-project for its pipeline.
- Disable testing in HIPIFY pipeline due to low value provided. Revisit in the future.
- aomp's ROCm dependency list reduced.
- aomp's openmp build had issues with ninja on AlmaLinux 8.
2025-06-09 14:16:59 -04:00
Joseph Macaranas
ca8df59ba8 [External CI] Fix pytorch nightly build errors (#4901)
- Add hipSPARSELt dependency.
- Add hipBLASLt test dependency for rocroller shared library.
- Update pip dependency versions.
- Install another typing_extensions at a specific folder for one of the builds we do not control to work.
- Wheel renaming no longer works, so we need to find another mechanism if we start doing builds for different branches and gfx architectures.
2025-06-09 13:15:41 -04:00
Joseph Macaranas
ad1ac5a4e8 [External CI] AlmaLinux 8 builds for more libraries (#4897)
- Fixed rocprim pipeline to not rebuild during install step.
- Updates to hipblas-common, hipcub, hiprand, and rocthrust pipelines to build on AlmaLinux8 and more gfx architectures.
- Include rocm-cmake dependency when CMake setup mentions it.
2025-06-09 10:35:52 -04:00
Daniel Su
e2d0f4a362 [Ex CI] delete unused global variables (#4896) 2025-06-09 10:30:17 -04:00
Daniel Su
f0bef19f15 Ex CI: roc/hipFFT downstream builds (#4840) 2025-06-06 15:20:46 -04:00
Ian Dass
204032493b [External CI] Ubuntu 24.04 job for llvm-project (#4893)
* [External CI] Ubuntu 24.04 job for llvm-project

* temporarily switch to using 'high' build pool while 'ultra' is  down

* switch almalinux8 to build on manylinux container

* add pool for alma8 container

* switch alma8 packag manager to apt

* Update llvm-project.yml

* switch back to dnf after resolved container init

---------

Co-authored-by: Joseph Macaranas <Joseph.Macaranas@amd.com>
2025-06-06 14:46:30 -04:00
Joseph Macaranas
934dd0892c [External CI] Unblock rocm-libraries progress by not building gfx11 rocprim (#4894) 2025-06-06 14:41:50 -04:00
Daniel Su
9c38a9cf71 [Ex CI] move from almalinux pool to manylinux containers (#4892) 2025-06-06 13:40:03 -04:00
Joseph Macaranas
894f137cda [External CI] AlmaLinux 8 pipeline for rocrand (#4891)
- Increase compilation coverage for rocrand to more gfx architectures.
- Follow similar path as recent rocprim pipeline changes.
- Add and fix conditionals in cmake template to consolidate the cmake build and install steps to deal with the re-build being done. This is not required in the ubuntu 22.04 job.
- The build time is a little bit too long on the free agents and we will end up capped on free runners soon, so changing the build pool.
2025-06-06 10:46:15 -04:00
Ian Dass
d331b19ede Merge pull request #4887 from ROCm/amd/idass/ub2404_support
[External CI] Add support for Ubuntu 24.04 OS
2025-06-05 17:20:30 -04:00
idass1990
1416c355e3 remove trailing whitespaces 2025-06-05 16:42:57 -04:00
Daniel Su
c5f9be0375 Ex CI: add msgpack to rocm-examples (#4890) 2025-06-05 16:41:48 -04:00
idass1990
769eee92bf fixed formatting 2025-06-05 16:38:53 -04:00
Daniel Su
c6baf14252 Ex CI: switch all prims to monorepo (#4889) 2025-06-05 16:16:57 -04:00
Daniel Su
87d5a210c1 Ex CI: added alma/manylinux builds and GPU targets for rocPRIM, gtest vendoring (#4885)
Co-authored-by: Joseph Macaranas <Joseph.Macaranas@amd.com>
2025-06-05 14:13:25 -04:00
yugang-amd
830f2d5edf Update for vllm -05/27 (#4886)
* Update vLLM inference benchmark Docker page for rocm/vllm 5/27

* update repo for Pytorch
2025-06-05 13:30:20 -04:00
idass
1dd4b4230d [External CI] Add support for Ubuntu 24.04 OS 2025-06-05 12:29:09 -04:00
Daniel Su
5346748889 Ex CI: add msgpack to MIOpen (#4882) 2025-06-04 14:38:59 -04:00
Pratik Basyal
2e32d1d3d4 KMD version updated in compatibility matrix (#4873) 2025-06-04 06:20:45 -04:00
ammallya
9cff634d8c Promoting 6.4.x to Develop (#4877) 2025-06-03 19:13:52 -07:00
Pratik Basyal
3f3d592e2b Radeon PRO W7700 and Radeon RX 7800 XT support added (#4874)
* Radeon PRO W7700 and Radeon RX 7800 XT support added

* gfx1101 added to compatibility matrix

* Footnote added for gfx1101

* Footnote updated

* Footnote reference fixed
2025-06-03 15:59:22 -04:00
Daniel Su
e12996054e Ex CI: manifest changes to support monorepo & mathlibs builds (#4871) 2025-06-02 16:09:54 -04:00
Joseph Macaranas
ff11bd392e [External CI] AlmaLinux 8 Support Refactor (#4869)
GCC Toolset 14 Environment
- source /opt/rh/gcc-toolset-14/enable only lasts for the shell session, so run at the beginning of relevant build and test tasks when the OS is AlmaLinux 8.
- CMake tasks set env to behave as if source /opt/rh/gcc-toolset-14/enable command was run.
- Observed that the built ROCm libraries can either be installed on lib or lib64 directories in this OS profile, so ldconfig step is adjusted to look at additional directories. This won't impact usage in ubuntu22 if the lib64 directories don't exist in the custom ROCm build.
- For the llvm linking step we cannot assume the ROCm lib directory exists, as only ROCm lib64 might be present on the build environment.
- libatomic package was added to the gcc toolset setup.

yaml-based Changes
- base set of dnf packages now defined in an array for dependencies that already come pre-installed on the ubuntu22 VMs.
- Changed format of the job matrix for readability.

New Features
- AlmaLinux 8 pipelines for roctracer and ROCdbgapi.
- roctracer pipeline expanded to support compilation for gfx1030 and gfx1100.
- AlmaLinux 8 llvm-project pipeline now builds flang and flang-rt, so re-enabled for ubuntu 22.04 pipeline as well.

TODO
- Revisit why ninja-build is not used for comgr, device-libs, and hipcc.
2025-06-02 11:10:09 -04:00
yugang-amd
53d3e092d3 Fix broken link (#4854) 2025-05-31 13:01:34 -04:00
yugang-amd
6b5586fd2c Add Radeon RX 9070 (gfx1201), Radeon RX 9070 GRE (gfx1201) (#4858)
* Add Radeon RX 9070 (1201), Radeon RX 9070 GRE (1201)

* Update compatibility-matrix.rst
2025-05-30 17:44:36 -04:00
Joseph Macaranas
b8e115d56a [External CI] clr/hip workaround (#4857)
- Build specific commit hashes to enable more OS profiles to be built up
- Revert this pull request when clr/hip fixed.
- Build Log
2025-05-30 17:35:39 -04:00
alexxu-amd
c1919faccd Change viewer link from latest to mainline in what-is-rocm page (#4856)
* change viewer link from latest to mainline

* correct format
2025-05-30 17:18:02 -04:00
Joseph Macaranas
231dc6be36 [External CI] AlmaLinux 8 job for clr and rocminfo (#4855)
- Added more dnf package mappings and a base-level dependency.
- Fix registering for ROCm packages with dnf.
2025-05-30 16:41:40 -04:00
Swati Rawat
6142df329b Docs: Add rocprof-compute-viewer (#4850)
* Docs: Add rocprof-compute-viewer

* update requirements.txt

---------

Co-authored-by: Alex Xu <alex.xu@amd.com>
2025-05-30 15:21:10 -04:00
Peter Park
2addcb0bca Add RHEL 9.6 to compat matrix (#4839)
* add RHEL 9.6 to compat matrix

* add os support note
2025-05-30 14:55:52 -04:00
Jeffrey Novotny
106cecba5e Update release notes with RHEL 9.6 (#4848) 2025-05-30 14:48:58 -04:00
Joseph Macaranas
d62d12fd55 [External CI] AlmaLinux 8 job for ROCR-Runtime (#4852)
- Added more dnf package mappings and a base-level dependency.
- Added missing os parameter for rocm dependencies call.
2025-05-30 14:09:58 -04:00
Daniel Su
bae5bdd177 Ex CI: add rocm-cmake to hipBLASLt (#4843) 2025-05-30 11:38:57 -04:00
Joseph Macaranas
8afca4af80 [External CI] AlmaLinux8 job for llvm-project (#4849)
- Removed building flang in this pipeline. Will build flang in the aomp pipeline to unblock progress on runtimes and first set of math libraries. Flang debug can also be moved to a cheaper VM.
- ninja-build from dnf is too old for llvm-project. Using a release from GitHub instead.
- Added more dnf package mappings.
- scl enable command is not needed.
2025-05-30 10:56:19 -04:00
Daniel Su
0c3e2ea01d Ex CI: make miopen-get-ck-build only fetch from successful CK builds (#4842) 2025-05-30 09:51:53 -04:00
Daniel Su
086089128e Ex CI: disable mathlibs-trigger triggers, fix template path (#4838) 2025-05-30 09:51:32 -04:00
Peter Park
6999c24402 Add microsoft/phi-4 vllm-benchmark-models (#4801)
* add Phi-4 to vllm-benchmark-models.yaml

fix model_repo

* update model group names
2025-05-30 06:37:13 -04:00
Peter Park
93fd0ef1d4 Update ML framework Docker inventories for 6.4.1 (#4841)
* Update tensorflow Docker compatibility table

* update jax Docker compatibility table

* fix py versions

* update pytorch Docker compatibility table
2025-05-29 18:33:31 -04:00
Peter Park
daf2e980d9 Add Falcon-180B to vLLM benchmark Docker doc (#4836)
* add Falcon to vllm-benchmark-models.yaml

* update group name
2025-05-29 18:26:21 -04:00
Daniel Su
f10d80f6cc Merge pull request #4835 from ROCm/amd/danielsu/whole-mathlibs
Ex CI: start creating a unified mathlib build
2025-05-29 13:06:29 -04:00
Daniel Su
272c9eabc9 Ex CI: guard test jobs behind unifiedBuild check 2025-05-29 12:11:22 -04:00
Daniel Su
a62560342e Ex CI: unified mathlibs build (up to rocSOLVER) 2025-05-29 12:11:17 -04:00
Joseph Macaranas
21a4565e02 [External CI] Add support for other OS profile builds, starting with AlmaLinux OS 8.10 (#4823)
- Modified job matrices and templates to support a second OS.
- Included creation of Virtual Machine Scale Sets running AlmaLinux OS 8.10 with GCC toolset 14 to match manylinux 2_28.
- Dependency download algorithm modified so that only a single array of package manager (apt) packages need to be provided as input and then the other package managers have a mapping of equivalent packages.
- Cleaned up python3-pip in the arrays as those should already be on the VMs.
- This will be an iterative process of getting components to build on this OS profile, and starting with the components that don't have interdependencies.
- Highest priority is to get the rocm-libraries working.
2025-05-28 16:12:53 -04:00
Daniel Su
394e3ffe11 Ex CI: remove SPARSEs as build dep for rocSOLVER (#4822) 2025-05-28 16:00:27 -04:00
Peter Park
2eb8bf4963 Fix typo in Megatron-LM Docker pull tags (#4829) 2025-05-28 15:18:00 -04:00
Peter Park
9dbc10b4c5 Fix rocm/vllm pull tag
Fix rocm/vllm pull tag
2025-05-28 14:42:21 -04:00
Peter Park
cebf0f5975 Add latest rocm/vllm Docker details in vLLM inference benchmark guide (#4824)
* update rocm/vllm Docker details to latest release

* Add previous vLLM version

* fix 'further reading' xrefs

* improve model grouping names

* fix links

* update model picker text
2025-05-28 14:20:18 -04:00
Peter Park
0acb457389 Add RDNA4 RX 9070 GRE to gpu-arch-specs.rst and RELEASE.md (#4820) 2025-05-28 10:19:30 -04:00
Daniel Su
9e23c2ea2b Ex CI: pull rocPRIM builds from monorepo pipeline (#4816) 2025-05-27 17:11:45 -04:00
yugang-amd
080a7339f0 Update SGPR for RDNA3 and RDNA2 series (#4810) 2025-05-27 15:12:36 -04:00
Daniel Su
932d6f551b Ex CI: use clr amd-staging builds again (#4811) 2025-05-27 12:18:12 -04:00
yugang-amd
fef80c324d Bump up requirement version (#4804)
* bump up requirement version

* update requirements.txt

* Use Python 3.10
2025-05-27 10:58:19 -04:00
dependabot[bot]
5ffc336620 Build(deps): Bump tornado from 6.4.2 to 6.5.1 in /docs/sphinx (#4796)
Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.4.2 to 6.5.1.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.4.2...v6.5.1)

---
updated-dependencies:
- dependency-name: tornado
  dependency-version: 6.5.1
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-05-26 17:29:40 -06:00
dependabot[bot]
a6c5fc4a2c Build(deps): Bump rocm-docs-core from 1.18.2 to 1.19.0 in /docs/sphinx (#4806)
Bumps [rocm-docs-core](https://github.com/ROCm/rocm-docs-core) from 1.18.2 to 1.19.0.
- [Release notes](https://github.com/ROCm/rocm-docs-core/releases)
- [Changelog](https://github.com/ROCm/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/ROCm/rocm-docs-core/compare/v1.18.2...v1.19.0)

---
updated-dependencies:
- dependency-name: rocm-docs-core
  dependency-version: 1.19.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2025-05-26 17:23:42 -06:00
yugang-amd
32939eed40 Merge pull request #4802 from yugang-amd/link-fix
fix broken links
2025-05-26 14:42:47 -04:00
yugang-amd
454331ba59 fix links 2025-05-26 13:50:25 -04:00
yugang-amd
637174f644 Merge pull request #4791 from yugang-amd/wavefront-size
Update wavefront size
2025-05-26 10:10:40 -04:00
yugang-amd
934ce63840 fix typo 2025-05-26 10:02:14 -04:00
yugang-amd
230b01565f update wavefront size 2025-05-22 17:49:08 -04:00
Peter Park
505041d90a Document specs for Radeon RX 9070 + small fix in megatron-lm doc (#4780)
* Document specs for Radeon RX 9070

* fix wrong version in megatron-lm.rst
2025-05-22 16:28:17 -04:00
Daniel Su
3ba79f9431 Ex CI: use clr amd-mainline temporarily (#4781) 2025-05-22 16:04:44 -04:00
yugang-amd
714b5395f8 Merge pull request #4773 from yugang-amd/rocshmem-xref
update rocSHMEM xrefs
2025-05-22 15:13:50 -04:00
Peter Park
9ed65a81c4 Add Megatron-LM benchmark doc 5/2 (#4778)
* reorg files

* add tabs

* update template

* update template

* update wordlist and toc

* add previous version to doc

* add selector paragraph

* update wordlist.txt
2025-05-22 14:28:18 -04:00
Peter Park
6d9f430c70 fix 9070 XT gfx target in gpu-arch-specs table (#4775) 2025-05-22 12:11:18 -04:00
yugang-amd
7697298f5d update rocSHMEM xrefs 2025-05-22 10:41:25 -04:00
Daniel Su
854bd268bf Ex CI: enable downstream job triggers for PRIMs and RANDs (#4761)
* Remove sparseCheckout param

* Add support for downloading same-pipeline-builds for monorepo chain builds

* Make local-artifact step names more informative

* Use componentName param for artifact filenames

* Enable chain downstream triggers for PRIMs & RANDs

* Set preTargetFilter for tests' local-artifact-download call

* Set checkout: none for test jobs

* Exclude failing rocThrust scan.hip test

* Matrixize downstream jobs
2025-05-22 10:24:06 -04:00
Peter Park
f1f2b3cac2 remove HIP upcoming changes reference link (#4771) 2025-05-21 12:09:35 -07:00
alexxu-amd
e265ee53ba Merge pull request #4766 from ROCm/alexxu12/tool-update-641
Update tools & README for 6.4.1
2025-05-21 15:02:27 -04:00
Peter Park
3f56efcb3b Update documented known issues in 6.4.1 rel (#4765)
* add ROCm SMI uninstallation note

* words

* clarify amd-smi note

* add links to gh issues in known issues section

* words
2025-05-21 15:01:35 -04:00
Peter Park
98fde2bff1 Add RDNA4 OS support note in RELEASE.md and compat matrix (#4764)
* fix vllm link in release.md

* add RDNA4 note in compat matrix

* update hipcc github url to specific path in llvm-project repo

* remove non-existant HIP upcoming changes reference

* remove non-existant resolved issues internal link

* fix hip upcoming changes url

* duplicate amd smi known issue
2025-05-21 14:23:48 -04:00
Peter Park
0e8b745266 Fix toc (#4762) 2025-05-21 12:26:30 -04:00
alexxu-amd
02a8a6e5df Merge pull request #4760 from ROCm/sync-develop-from-internal
Sync develop from internal for 6.4.1 GA
2025-05-21 12:21:42 -04:00
alexxu-amd
f118318f98 Merge pull request #414 from ROCm/sync-develop-from-external
Sync develop from external
2025-05-21 12:00:22 -04:00
alexxu-amd
47e4ec8b3a Merge branch 'develop' into sync-develop-from-external 2025-05-21 11:17:10 -04:00
Alex Xu
58a62bc00e Merge remote-tracking branch 'external/develop' into sync-develop-from-external 2025-05-21 11:16:31 -04:00
Peter Park
56d258592d Finalize 6.4.1 release notes (#408)
* update URLs for production

* update historical changelog

* remove deep learning compat section from doc highlights

* update changelog.md

* Update CHANGELOG.md

Co-authored-by: yugang-amd <yugang.wang@amd.com>

* Update CHANGELOG.md

Co-authored-by: yugang-amd <yugang.wang@amd.com>

---------

Co-authored-by: yugang-amd <yugang.wang@amd.com>
2025-05-21 11:15:44 -04:00
Peter Park
8dc7016405 Add Radeon AI PRO R9700, Radeon RX 9070 XT, RX 9060 XT to gpu-arch-specs (#411)
* add Radeon AI PRO R7900, Radeon RX 9070 XT, Radeon RX 9060 XT to gpu-arch-specs.rst

* update compat matrices

* fix spacing in historical compat csv file
2025-05-21 11:04:46 -04:00
alexxu-amd
8686bca1b4 Merge pull request #412 from ROCm/alexxu-amd-patch-1
Add 6.4.1 to version list
2025-05-21 11:00:11 -04:00
alexxu-amd
82d15a09f5 Merge branch 'develop' into alexxu-amd-patch-1 2025-05-21 10:58:27 -04:00
Peter Park
42e0c0cfba [6.4.1] Add RDNA4 GPUs to docs (#410)
* add Radeon AI PRO R9700 SD2.1 known issue

* Add hardware support note for R9700, 9070 XT, 9060 XT

* words

* Add links to new 9000-series GPUs
2025-05-21 10:27:43 -04:00
alexxu-amd
ddcad120a2 Update versions.md 2025-05-21 09:52:05 -04:00
Peter Park
b8892f2c33 add amd-smi ras --cper known issue (#409) 2025-05-20 16:36:33 -04:00
Peter Park
ab384a1b6e [6.4.1] Add RCCL-UnitTests known issue 2025-05-20 07:56:50 -04:00
Peter Park
27db6ef0b3 add rccl known issue to stack known issues (#404)
* add rccl known issue to stack known issue

* remove bullet
2025-05-16 12:32:21 -04:00
Istvan Kiss
707d6c022f Merge pull request #388 from ROCm/rn_precision_sup
Precision support page update release note revert
2025-05-16 11:33:07 +02:00
Istvan Kiss
3bafe307bf Page will be not published 2025-05-16 11:29:26 +02:00
Peter Park
ca5d0d0000 [6.4.1] update llvm-project version and add RCCL known issue (#401)
* update llvm-project version

* add RCCL known issue
2025-05-15 16:20:59 -04:00
randyh62
e35efbae09 Update RELEASE.md (#402)
Update Added entry, add Changed and Optimized entries
2025-05-15 13:14:18 -07:00
Peter Park
92a9c88fe3 [6.4.1 release notes] Change links to internal for external review (#400)
* change installer links to internal

* change smi changelog links to internal
2025-05-15 11:48:13 -04:00
Peter Park
2a3c2fe5aa Update 6.4.1 release notes (#399)
* remove extra file

* Update wording in RELEASE.md

* Update RELEASE.md

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>

* update amdsmi changelog

* install -> installed

t

---------

Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
2025-05-14 15:41:12 -04:00
Wei Luo
d1debc7e45 [doc]: Add quark in model-quantization.rst (#374)
* Add quark in model-quantization.rst

---------

Co-authored-by: Peter Park <peter.park@amd.com>
Co-authored-by: Peter Park <git@peterjunpark.com>
2025-05-08 14:28:51 +08:00
Pratik Basyal
169f3bbe5e 641 Release notes update post RC2 batch1 (#387)
* Release highlight updated

* TOC updated for internal

* RC3 manifest added

* clarify docker image highlight

* update doc highlights

* RC3 changes added

* RC3 manifest added

* ROCm SMI version update

---------

Co-authored-by: Peter Park <peter.park@amd.com>
2025-05-06 15:07:54 -04:00
Pratik Basyal
e28eac2fe1 License typo fixed (#384) 2025-05-02 12:37:08 -04:00
Pratik Basyal
97ccce10ef Links and refernce text update (#383) 2025-05-01 16:13:39 -04:00
Pratik Basyal
217fb452f8 Initial changes to 6.4.1 RN (#379)
* Initial changes added

* Changelogs for RCCL, hipblaslt, compute profiler, and systems added

* 6.4.0 GA manifest

* 6.4.1 RC1 manifest

* RC2 Manifest added

* Update RELEASE.md

Add CLR Changelog entry for HIP 6.4.1

* Release highlight added

* AMD SMI changelog added

* ROCr runtime changelog added

* RCCL resolved issue added

* Minor change

* Minor fixes

* Quick changes to version

* Offline installer update

* Istallation udpated

* added rocalution to release notes

* Updated changelogs for components

* Changes to changelog

* Update RELEASE.md

Co-authored-by: Pratik Basyal <pratik.basyal@amd.com>

* Update RELEASE.md

Co-authored-by: Pratik Basyal <pratik.basyal@amd.com>

* rocSHMEM related changes added

* Changelog updated with new changes

* Heading level fixed

* AMD SMI version bumped to 25.4.0

* Reordered

* Table zebra pattern updated

* Consolidated updated

* Zebra patter aligned

* Add ROCm SMI changes to 6.4.1

* Update CHANGELOG.md

Co-authored-by: Pratik Basyal <prbasyal@amd.com>

* update doc highlights

* Link to rocSHMEM

* update

* Minor changes

* Changelog feedback updated

---------

Co-authored-by: randyh62 <42045079+randyh62@users.noreply.github.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: Peter Park <peter.park@amd.com>
2025-05-01 13:54:31 -04:00
311 changed files with 5731 additions and 24373 deletions

View File

@@ -0,0 +1,33 @@
variables:
- group: common
- template: /.azuredevops/variables-global.yml@pipelines_repo
parameters:
- name: pipelinesRepoRef
type: string
default: refs/heads/develop
- name: librariesRepoRef
type: string
default: refs/heads/develop
resources:
repositories:
- repository: pipelines_repo
type: github
endpoint: ROCm
name: ROCm/ROCm
ref: ${{ parameters.pipelinesRepoRef }}
- repository: libraries_repo
type: github
endpoint: ROCm
name: ROCm/rocm-libraries
ref: ${{ parameters.librariesRepoRef }}
trigger: none
pr: none
jobs:
- template: /.azuredevops/ci-builds/mathlibs.yml@pipelines_repo
parameters:
checkoutRepo: libraries_repo
buildDependsOn: false

View File

@@ -0,0 +1,38 @@
# entrypoint for kicking off a unified build of the mathlibs
# this template is designed to be called by another pipeline (llvm, clr, etc.)
# `buildDependsOn` will need to be set when calling this template
# passes a `unifiedBuild` param to downstream pipelines, which will prevent duplicate jobs
# logic needs to be added in individual mathlib pipelines for handling `unifiedBuild`
parameters:
- name: checkoutRepo
type: string
default: monorepo
- name: buildDependsOn
type: object
default: false
- name: downstreamComponentMatrix
type: object
default:
- rocRAND:
name: rocRAND
sparseCheckoutDir: projects/rocrand
- rocPRIM:
name: rocPRIM
sparseCheckoutDir: projects/rocprim
- hipBLAS-common:
name: hipBLAS-common
sparseCheckoutDir: projects/hipblas-common
# - composable_kernel:
# name: composable_kernel
# sparseCheckoutDir: projects/composablekernel
jobs:
- ${{ each component in parameters.downstreamComponentMatrix }}:
- template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
buildDependsOn: ${{ parameters.buildDependsOn }}
triggerDownstreamJobs: true
unifiedBuild: true

View File

@@ -20,7 +20,7 @@ parameters:
- ocl-icd-libopencl1
- ocl-icd-opencl-dev
- opencl-headers
- python3-pip
- zlib1g-dev
- name: pipModules
type: object
default:
@@ -41,120 +41,148 @@ parameters:
# any changes for clr should just trigger HIP pipeline
# similarly for hipother repo, for Nvidia backend
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
# HIP with AMD backend
jobs:
- job: hip_clr_combined_amd
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
# checkout triggering repo (either HIP or clr)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
# if this is triggered by HIP repo, matching repo is clr
# if this is triggered by clr repo, matching repo is HIP
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: matching_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: hipother_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependenciesAMD }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
# compile clr
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: clr
cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
extraBuildFlags: >-
-DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
-DHIP_PLATFORM=amd
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DROCM_PATH=$(Agent.BuildDirectory)/rocm
-DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
-DCLR_BUILD_HIP=ON
-DCLR_BUILD_OCL=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
artifactName: amd
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
artifactName: amd
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: amd
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hip_clr_combined_${{ job.os }}_amd
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
# checkout triggering repo (either HIP or clr)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
# if this is triggered by HIP repo, matching repo is clr
# if this is triggered by clr repo, matching repo is HIP
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: matching_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: hipother_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependenciesAMD }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
# compile clr
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: clr
cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
-DHIP_PLATFORM=amd
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DROCM_PATH=$(Agent.BuildDirectory)/rocm
-DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
-DCLR_BUILD_HIP=ON
-DCLR_BUILD_OCL=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
artifactName: amd
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
artifactName: amd
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: amd
# HIP with Nvidia backend
- job: hip_clr_combined_nvidia
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
# checkout triggering repo (either HIP or clr)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
# if this is triggered by HIP repo, matching repo is clr
# if this is triggered by clr repo, matching repo is HIP
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: matching_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: hipother_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependenciesNvidia }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- script: 'ls -1R $(Agent.BuildDirectory)/rocm'
displayName: 'Artifact listing'
# compile clr
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: clr
cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
extraBuildFlags: >-
-DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
-DHIP_PLATFORM=nvidia
-DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
-DCLR_BUILD_HIP=ON
-DCLR_BUILD_OCL=OFF
-DHIPNV_DIR=$(Build.SourcesDirectory)/hipother/hipnv
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
artifactName: nvidia
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: nvidia
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hip_clr_combined_${{ job.os }}_nvidia
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
# checkout triggering repo (either HIP or clr)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
# if this is triggered by HIP repo, matching repo is clr
# if this is triggered by clr repo, matching repo is HIP
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: matching_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: hipother_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependenciesNvidia }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
- script: 'ls -1R $(Agent.BuildDirectory)/rocm'
displayName: 'Artifact listing'
# compile clr
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: clr
cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
-DHIP_PLATFORM=nvidia
-DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
-DCLR_BUILD_HIP=ON
-DCLR_BUILD_OCL=OFF
-DHIPNV_DIR=$(Build.SourcesDirectory)/hipother/hipnv
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
artifactName: nvidia
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: nvidia

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: HIPIFY
- name: checkoutRepo
type: string
default: 'self'
@@ -13,113 +16,140 @@ parameters:
- name: aptPackages
type: object
default:
- cmake
- ninja-build
- cuda-toolkit-12-9
- libcudnn9-dev-cuda-12
- libnuma-dev
- mesa-common-dev
- ninja-build
- python-is-python3
- python3-dev
- python3-pip
- python-is-python3
- mesa-common-dev
- ccache
- cuda-toolkit
- cudnn
- name: pipModules
type: object
default:
- lit
- name: rocmDependencies
type: object
default:
- llvm-project
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: HIPIFY
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: UPSTREAM_LLVM_GIT_URL
value: https://github.com/llvm/llvm-project.git
- name: UPSTREAM_LLVM_TAG
value: llvmorg-18.1.2
pool: ${{ variables.MEDIUM_BUILD_POOL }}
workspace:
clean: all
steps:
- task: Bash@3
displayName: 'Register CUDA packages'
inputs:
targetType: inline
script: |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo rm -f cuda-keyring_1.1-1_all.deb
sudo apt update
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- task: Bash@3
displayName: git clone upstream llvm-project
inputs:
targetType: inline
script: git clone $(UPSTREAM_LLVM_GIT_URL) --depth=1 --branch $(UPSTREAM_LLVM_TAG) --recurse-submodules
workingDirectory: $(Pipeline.Workspace)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- script: |
mkdir -p $(CCACHE_DIR)
echo "##vso[task.prependpath]/usr/lib/ccache:/usr/local/cuda/bin"
displayName: Update path for cuda and ccache
- task: Cache@2
displayName: Ccache caching
inputs:
key: HIPIFY | $(Agent.OS) | "$(UPSTREAM_LLVM_TAG)"
path: $(CCACHE_DIR)
restoreKeys: HIPIFY | $(Agent.OS)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: upstream-llvm
cmakeBuildDir: $(Pipeline.Workspace)/llvm-project/llvm/build
cmakeSourceDir: $(Pipeline.Workspace)/llvm-project/llvm
installDir: $(Pipeline.Workspace)/llvm
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DLLVM_ENABLE_PROJECTS=clang
-DLLVM_INCLUDE_TESTS=OFF
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache
-DCMAKE_C_COMPILER_LAUNCHER=ccache
-GNinja
- task: Bash@3
displayName: python install lit
inputs:
targetType: inline
script: sudo python3 $(Pipeline.Workspace)/llvm-project/llvm/utils/lit/setup.py install
- task: Bash@3
displayName: install FileCheck
inputs:
targetType: inline
script: cp $(Pipeline.Workspace)/llvm-project/llvm/build/bin/FileCheck $(Pipeline.Workspace)/llvm/bin
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: HIPIFY
extraBuildFlags: >-
-DHIPIFY_CLANG_TESTS=ON
-DCMAKE_BUILD_TYPE=Release
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda/targets/x86_64-linux
-DCUDA_DNN_ROOT_DIR=/usr/local/cuda/targets/x86_64-linux
-DCMAKE_PREFIX_PATH=$(Pipeline.Workspace)/llvm;/usr/local/cuda/targets/x86_64-linux/lib
-DLLVM_EXTERNAL_LIT=$(Pipeline.Workspace)/llvm-project/llvm/build/bin/llvm-lit
multithreadFlag: -- -j32
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: HIPIFY
testDir: $(Build.SourcesDirectory)/build
testExecutable: make
testParameters: test-hipify
testPublishResults: false
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: combined
registerCUDAPackages: true
extraCopyDirectories:
- llvm-project
extraEnvVars:
- UPSTREAM_LLVM_GIT_URL:::https://github.com/llvm/llvm-project.git
- UPSTREAM_LLVM_TAG:::llvmorg-18.1.2
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
name: rocm-ci_medium_build_pool_2404
${{ else }}:
name: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- task: Bash@3
displayName: 'Register CUDA packages'
inputs:
targetType: inline
${{ if eq(job.os, 'ubuntu2204') }}:
script: |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb
sudo rm -f cuda-keyring_1.1-1_all.deb
sudo apt update
${{ if eq(job.os, 'almalinux8') }}:
script: |
sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-cmake-latest.yml
- task: Bash@3
displayName: Add lit to PATH
inputs:
targetType: inline
script: |
site_packages=$(python3 -m site --user-base)/bin
sudo ln -sf $site_packages/bin/lit $(Pipeline.Workspace)/llvm-lit
echo "##vso[task.prependpath]$site_packages"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
# cutensor is not available from apt or dnf
- task: Bash@3
displayName: 'Download and install cutensor'
inputs:
targetType: inline
script: |
wget -q --show-progress https://developer.download.nvidia.com/compute/cutensor/redist/libcutensor/linux-x86_64/libcutensor-linux-x86_64-2.2.0.0-archive.tar.xz
tar -xvJf libcutensor-linux-x86_64-*.tar.xz
mkdir -p $(Pipeline.Workspace)/cutensor
cp -r libcutensor-linux-x86_64-*/* $(Pipeline.Workspace)/cutensor/
- task: Bash@3
displayName: 'List downloaded CUDA files'
inputs:
targetType: inline
script: ls -la1R /usr/local/cuda-12.9
# script: cp $(Pipeline.Workspace)/llvm-project/llvm/build/bin/FileCheck $(Pipeline.Workspace)/llvm/bin
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm/llvm;/usr/local/cuda/targets/x86_64-linux/lib
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DHIPIFY_CLANG_TESTS=ON
-DCMAKE_BUILD_TYPE=Release
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-12.9
-DCUDA_DNN_ROOT_DIR=/usr/local/cuda-12.9
-DCUDA_CUB_ROOT_DIR=/usr/local/cuda-12.9/targets/x86_64-linux/include/cub
-DCUDA_TENSOR_ROOT_DIR=$(Pipeline.Workspace)/cutensor/
multithreadFlag: -- -j32
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
# parameters:
# componentName: HIPIFY
# testDir: $(Build.SourcesDirectory)/build
# testExecutable: make
# testParameters: -j 32 test-hipify
# testPublishResults: false
# os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: combined
registerCUDAPackages: true
extraCopyDirectories:
- llvm-project

View File

@@ -16,6 +16,7 @@ parameters:
- cmake
- jq
- libdrm-dev
- libmsgpack-dev
- libsqlite3-dev
- libstdc++-12-dev
- ninja-build

View File

@@ -43,18 +43,20 @@ parameters:
- name: rocmDependencies
type: object
default:
- rocm-cmake
- llvm-project
- ROCR-Runtime
- AMDMIGraphX
- clr
- half
- hipBLAS-common
- hipBLASLt
- llvm-project
- MIOpen
- rocBLAS
- rocDecode
- rocm-cmake
- rocminfo
- rocprofiler-register
- half
- rocBLAS
- MIOpen
- AMDMIGraphX
- ROCR-Runtime
- rpp
- rocDecode
- name: rocmTestDependencies
type: object
default:
@@ -90,8 +92,7 @@ jobs:
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
pool: ${{ variables.MEDIUM_BUILD_POOL }}
workspace:
clean: all
steps:

View File

@@ -20,7 +20,6 @@ parameters:
- libnuma-dev
- ninja-build
- pkg-config
- python3-pip
- name: rocmDependencies
type: object
default:
@@ -36,51 +35,65 @@ parameters:
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: ROCR_Runtime_build
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DBUILD_SHARED_LIBS=ON
-DCMAKE_BUILD_TYPE=Release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ROCR_Runtime_build_${{ job.os }}
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DBUILD_SHARED_LIBS=ON
-DCMAKE_BUILD_TYPE=Release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ROCR_Runtime_test_${{ job.target }}
dependsOn: ROCR_Runtime_build
- job: ROCR_Runtime_test_${{ job.os }}_${{ job.target }}
dependsOn: ROCR_Runtime_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -97,6 +110,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- task: Bash@3
displayName: Install libhwloc5
inputs:
@@ -107,12 +121,15 @@ jobs:
sudo apt install -y --allow-downgrades ./libhwloc5_1.11.12-3_amd64.deb ./libhwloc-dev_1.11.12-3_amd64.deb
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
@@ -121,11 +138,13 @@ jobs:
runRocminfo: false
- task: Bash@3
displayName: Build kfdtest
continueOnError: true
inputs:
targetType: 'inline'
workingDirectory: $(Build.SourcesDirectory)/libhsakmt/tests/kfdtest
script: |
if [ -e /opt/rh/gcc-toolset-14/enable ]; then
source /opt/rh/gcc-toolset-14/enable
fi
mkdir build && cd build
cmake -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm ..
make
@@ -135,13 +154,16 @@ jobs:
testExecutable: BIN_DIR=$(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/build ./run_kfdtest.sh
testParameters: '-p core --gtest_output=xml:./test_output.xml --gtest_color=yes'
testDir: $(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/scripts
os: ${{ job.os }}
- task: Bash@3
displayName: Build rocrtst
continueOnError: true
inputs:
targetType: 'inline'
workingDirectory: $(Build.SourcesDirectory)/rocrtst/suites/test_common
script: |
if [ -e /opt/rh/gcc-toolset-14/enable ]; then
source /opt/rh/gcc-toolset-14/enable
fi
BASE_CLANG_DIR=$(Agent.BuildDirectory)/rocm/llvm/lib/clang
export NEWEST_CLANG_VER=$(ls -1 $BASE_CLANG_DIR | sort -V | tail -n 1)
mkdir build && cd build
@@ -159,6 +181,7 @@ jobs:
testExecutable: ./rocrtst64
testParameters: '--gtest_filter="-rocrtstNeg.Memory_Negative_Tests:rocrtstFunc.Memory_Max_Mem" --gtest_output=xml:./test_output.xml --gtest_color=yes'
testDir: $(Build.SourcesDirectory)/rocrtst/suites/test_common/build/${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -15,7 +15,6 @@ parameters:
default:
- cmake
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
default:
@@ -24,37 +23,57 @@ parameters:
- rocminfo
- ROCR-Runtime
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: ROCdbgapi
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ROCdbgapi_build_${{ job.os }}
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: ROCgdb
- name: checkoutRepo
type: string
default: 'self'
@@ -23,8 +26,10 @@ parameters:
- libgmp-dev
- liblzma-dev
- libmpfr-dev
- pkg-config
- ncurses-dev
- pkg-config
- python3-dev
- python3-pip
- texinfo
- zlib1g-dev
- name: rocmDependencies
@@ -40,67 +45,87 @@ parameters:
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: ROCgdb
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: PKG_CONFIG_PATH
value: $(Agent.BuildDirectory)/rocm/share/pkgconfig
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-autotools.yml
parameters:
configureFlags: >-
--program-prefix=roc
--enable-64-bit-bfd
--enable-targets="x86_64-linux-gnu,amdgcn-amd-amdhsa"
--disable-ld
--disable-gas
--disable-gdbserver
--disable-sim
--enable-tui
--disable-gdbtk
--disable-shared
--disable-gprofng
--with-expat
--with-system-zlib
--without-guile
--with-babeltrace
--with-lzma
--with-python=python3
--with-rocm-dbgapi=$(Agent.BuildDirectory)/rocm
LDFLAGS="-Wl,--enable-new-dtags,-rpath=$(Agent.BuildDirectory)/rocm/lib"
makeCallPrefix: LD_RUN_PATH='${ORIGIN}/../lib'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: PKG_CONFIG_PATH
value: $(Agent.BuildDirectory)/rocm/share/pkgconfig
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
name: rocm-ci_medium_build_pool_2404
${{ else }}:
name: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-autotools.yml
parameters:
os: ${{ job.os }}
configureFlags: >-
--program-prefix=roc
--enable-64-bit-bfd
--enable-targets="x86_64-linux-gnu,amdgcn-amd-amdhsa"
--disable-ld
--disable-gas
--disable-gdbserver
--disable-sim
--enable-tui
--disable-gdbtk
--disable-shared
--disable-gprofng
--with-expat
--with-system-zlib
--without-guile
--with-babeltrace
--with-lzma
--with-python=python3
--with-rocm-dbgapi=$(Agent.BuildDirectory)/rocm
LDFLAGS="-Wl,--enable-new-dtags,-rpath=$(Agent.BuildDirectory)/rocm/lib"
makeCallPrefix: LD_RUN_PATH='${ORIGIN}/../lib'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ROCgdb_test_${{ job.target }}
dependsOn: ROCgdb
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -119,18 +144,23 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-autotools.yml
parameters:
os: ${{ job.os }}
configureFlags: >-
--program-prefix=roc
--enable-64-bit-bfd
@@ -166,7 +196,9 @@ jobs:
continueOnError: true
inputs:
targetType: inline
script: make check-gdb TESTS=gdb.rocm/simple.exp
script: |
${{ iif(eq(job.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
make check-gdb TESTS=gdb.rocm/simple.exp
workingDirectory: $(Build.SourcesDirectory)
- task: Bash@3
displayName: print gdb log

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: Tensile
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -13,7 +32,6 @@ parameters:
- name: aptPackages
type: object
default:
- python3-pip
- cmake
- libmsgpack-dev
- libboost-program-options-dev
@@ -38,75 +56,97 @@ parameters:
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: Tensile_build
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- task: Bash@3
displayName: Create wheel file
inputs:
targetType: inline
script: python3 setup.py bdist_wheel
workingDirectory: $(Build.SourcesDirectory)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
parameters:
sourceDir: $(Build.SourcesDirectory)/dist
contentsString: '*.whl'
targetDir: $(Build.ArtifactStagingDirectory)
clean: false
- task: PublishPipelineArtifact@1
displayName: 'wheel file Publish'
retryCountOnTaskFailure: 3
inputs:
targetPath: $(Build.ArtifactStagingDirectory)
- task: Bash@3
displayName: Save pipeline artifact file names
inputs:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: |
whlFile=$(find "$(Build.ArtifactStagingDirectory)" -type f -name "*.whl" | head -n 1)
if [ -n "$whlFile" ]; then
echo $(basename "$whlFile") >> pipelineArtifacts.txt
fi
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_${{ job.os }}
${{ if parameters.buildDependsOn }}:
dependsOn: ${{ parameters.buildDependsOn[job.target] }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- task: Bash@3
displayName: Create wheel file
inputs:
targetType: inline
script: python3 setup.py bdist_wheel
workingDirectory: $(Agent.BuildDirectory)/s
- task: Bash@3
displayName: Rename wheel file with job OS
inputs:
targetType: inline
workingDirectory: $(Agent.BuildDirectory)/s
script: |
wheelFile=$(find "$(Agent.BuildDirectory)/s/dist" -type f -name "*.whl" | head -n 1)
newWheelFile="$(basename "$wheelFile" .whl)-${{ job.os }}.whl"
mv "$wheelFile" "$(dirname "$wheelFile")/$newWheelFile"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
parameters:
sourceDir: $(Agent.BuildDirectory)/s/dist
contentsString: '*.whl'
targetDir: $(Build.ArtifactStagingDirectory)
clean: false
- task: PublishPipelineArtifact@1
displayName: 'wheel file Publish'
retryCountOnTaskFailure: 3
inputs:
targetPath: $(Build.ArtifactStagingDirectory)
- task: Bash@3
displayName: Save pipeline artifact file names
inputs:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: |
whlFile=$(find "$(Build.ArtifactStagingDirectory)" -type f -name "*.whl" | head -n 1)
if [ -n "$whlFile" ]; then
echo $(basename "$whlFile") >> pipelineArtifacts.txt
fi
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: Tensile_test_${{ job.target }}
- job: Tensile_test_${{ job.os }}_${{ job.target }}
timeoutInMinutes: 180
dependsOn: Tensile_build
dependsOn: Tensile_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -126,20 +166,23 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- task: DownloadPipelineArtifact@2
displayName: 'Download Pipeline Wheel Files'
inputs:
itemPattern: '**/*.whl'
itemPattern: '**/*${{ job.os }}*.whl'
targetPath: $(Agent.BuildDirectory)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- task: Bash@3
displayName: pip install
@@ -164,7 +207,7 @@ jobs:
inputs:
targetType: inline
script: tox run -v -e ci -- -m pre_checkin
workingDirectory: $(Build.SourcesDirectory)
workingDirectory: $(Agent.BuildDirectory)/s
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -16,50 +16,66 @@ parameters:
- cmake
- libdrm-dev
- ninja-build
- python3-pip
- pkg-config
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: amdsmi_build
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DBUILD_TESTS=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: amdsmi_build_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DBUILD_TESTS=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: amdsmi_test_${{ job.target }}
dependsOn: amdsmi_build
- job: amdsmi_test_${{ job.os }}_${{ job.target }}
dependsOn: amdsmi_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -76,8 +92,11 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
parameters:
runRocminfo: false
@@ -85,8 +104,9 @@ jobs:
parameters:
componentName: amdsmi
testDir: '$(Agent.BuildDirectory)'
testExecutable: './rocm/share/amd_smi/tests/amdsmitst'
testExecutable: 'sudo ./rocm/share/amd_smi/tests/amdsmitst'
testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: aomp
- name: checkoutRepo
type: string
default: 'self'
@@ -15,173 +18,187 @@ parameters:
- name: aptPackages
type: object
default:
- bison
- ccache
- cmake
- python3-pip
- ninja-build
- pkg-config
- libpci-dev
- libnuma-dev
- libffi-dev
- git
- libopenmpi-dev
- flex
- gawk
- git
- mesa-common-dev
- libtool
- ninja-build
- libbabeltrace-dev
- libbison-dev
- libdrm-amdgpu1
- libdrm-dev
- libdw-dev
- libgtest-dev
- libsystemd-dev
- libffi-dev
- libgmp-dev
- liblzma-dev
- libmpfr-dev
- libncurses5-dev
- libnuma-dev
- libopenmpi-dev
- libpci-dev
- libssl-dev
- libstdc++-12-dev
- ccache
- libgmp-dev
- libmpfr-dev
- texinfo
- libbison-dev
- bison
- flex
- libbabeltrace-dev
- libncurses5-dev
- liblzma-dev
- python3-setuptools
- python3-dev
- libsystemd-dev
- libtool
- libudev-dev
- parallel
# Referencing comment snippet.
#
# snippet from https://github.com/ROCm/aomp/blob/aomp-dev/bin/build_aomp.sh#L131-L134
#
# For ROCM build (AOMP_STANDALONE_BUILD=0) the components roct, rocr,
# libdevice, project, comgr, rocminfo, hipamd, rocdbgapi, rocgdb,
# roctracer, rocprofiler, rocm_smi_lib, and amdsmi should be found
# in ROCM in /opt/rocm. The ROCM build only needs these components:
- pkg-config
- python3-dev
- python3-pip
- python3-setuptools
- texinfo
- name: rocmDependencies
type: object
default:
- amdsmi
- llvm-project
- ROCR-Runtime
- name: rocmTestDependencies
type: object
default:
- clr
- llvm-project
- ROCdbgapi
- ROCgdb
- rocm-cmake
- rocm-core
- rocminfo
- rocm_smi_lib
- rocprofiler
- rocprofiler-register
- rocprofiler-sdk
- ROCR-Runtime
- roctracer
- rocprofiler-register
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: aomp
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ variables.MEDIUM_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
# checkout the repos tied to openmp-extras, plus llvm-project
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: aomp-extras_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: flang_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: llvm-project_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: extras
cmakeBuildDir: '$(Build.SourcesDirectory)/aomp-extras/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/aomp-extras'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DLLVM_DIR=$(Agent.BuildDirectory)/rocm/llvm
-DCMAKE_BUILD_TYPE=Release
-DAOMP_STANDALONE_BUILD=0
-DAOMP_VERSION_STRING=9.99.99
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: openmp
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm-project/openmp/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm-project/openmp'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DOPENMP_TEST_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DOPENMP_TEST_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DOPENMP_ENABLE_LIBOMPTARGET=1
-DLIBOMP_COPY_EXPORTS=OFF
-DLIBOMP_OMPT_SUPPORT=ON
-DLIBOMP_OMPD_SUPPORT=ON
-DCMAKE_SKIP_INSTALL_RPATH=TRUE
-DLLVM_MAIN_INCLUDE_DIR=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DLIBOMP_FORTRAN_MODULES_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/flang
-DLIBOMP_MODULES_INSTALL_PATH=$(Build.BinariesDirectory)/llvm/include/flang/
-GNinja
- task: Bash@3
displayName: 'ROCm symbolic link'
inputs:
targetType: inline
script: sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: offload
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm-project/offload/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm-project/offload'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DOPENMP_TEST_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DOPENMP_TEST_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_SKIP_INSTALL_RPATH=TRUE
-DLLVM_MAIN_INCLUDE_DIR=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DLIBOMPTARGET_LLVM_INCLUDE_DIRS=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DCMAKE_EXE_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/llvm/lib"
-DCMAKE_SHARED_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/llvm/lib"
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
name: rocm-ci_medium_build_pool_2404
${{ else }}:
name: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
# checkout the repos tied to openmp-extras, plus llvm-project
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: aomp-extras_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: flang_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: llvm-project_repo
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
componentName: extras
cmakeBuildDir: '$(Build.SourcesDirectory)/aomp-extras/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/aomp-extras'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DLLVM_DIR=$(Agent.BuildDirectory)/rocm/llvm
-DCMAKE_BUILD_TYPE=Release
-DAOMP_STANDALONE_BUILD=0
-DAOMP_VERSION_STRING=9.99.99
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
componentName: openmp
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm-project/openmp/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm-project/openmp'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DOPENMP_TEST_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DOPENMP_TEST_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DOPENMP_ENABLE_LIBOMPTARGET=1
-DLIBOMP_COPY_EXPORTS=OFF
-DLIBOMP_OMPD_SUPPORT=ON
-DCMAKE_SKIP_INSTALL_RPATH=TRUE
-DLLVM_MAIN_INCLUDE_DIR=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DLIBOMP_FORTRAN_MODULES_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/flang
-DLIBOMP_MODULES_INSTALL_PATH=$(Build.BinariesDirectory)/llvm/include/flang/
multithreadFlag: -- -j32
- task: Bash@3
displayName: 'ROCm symbolic link'
inputs:
targetType: inline
script: sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
componentName: offload
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm-project/offload/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm-project/offload'
installDir: '$(Build.BinariesDirectory)/llvm'
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DOPENMP_TEST_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DOPENMP_TEST_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/clang
-DCMAKE_SKIP_INSTALL_RPATH=TRUE
-DLLVM_MAIN_INCLUDE_DIR=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DLIBOMPTARGET_LLVM_INCLUDE_DIRS=$(Build.SourcesDirectory)/llvm-project/llvm/include
-DCMAKE_EXE_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/llvm/lib"
-DCMAKE_SHARED_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/llvm/lib"
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: aomp_test_${{ job.target }}
dependsOn: aomp
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -198,12 +215,16 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
dependencyList: ${{ parameters.rocmTestDependencies }}
os: ${{ job.os }}
- task: Bash@3
displayName: ROCm symbolic link
inputs:
@@ -215,7 +236,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: aomp-extras_repo
# these copy steps are from the aomp prototype script for test prep
# these copy steps are from the aomp prototype script for test prep
- task: CopyFiles@2
displayName: 'Copy AOMP contents'
inputs:

View File

@@ -1,36 +1,42 @@
parameters:
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
- name: jobMatrix
type: object
default:
copyJobs:
- { os: ubuntu2204, backend: amd }
- { os: almalinux8, backend: amd }
- { os: ubuntu2204, backend: nvidia }
- { os: almalinux8, backend: nvidia }
# hip and clr are tightly-coupled
# run this same template for both repos
# any changes for clr should just trigger HIP pipeline
jobs:
- job: hip_clr_combined
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
# checkout nothing, just copy artifacts from triggering HIP job
# and then publish for this clr job or for this hipother job to maintain latest
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-download.yml
parameters:
componentName: HIP
pipelineId: $(HIP_PIPELINE_ID)
- task: Bash@3
displayName: Copy HIP artifacts
inputs:
targetType: inline
script: cp -a $(Agent.BuildDirectory)/rocm/* $(Build.BinariesDirectory)/
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ each job in parameters.jobMatrix.copyJobs }}:
- job: hip_clr_combined_${{ job.os }}_${{ job.backend }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
# checkout nothing, just copy artifacts from triggering HIP job
# and then publish for this clr job or for this hipother job to maintain latest
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-download.yml
parameters:
componentName: HIP
pipelineId: $(HIP_PIPELINE_ID)
fileFilter: ${{ job.os }}*${{ job.backend }}
- task: Bash@3
displayName: Copy HIP artifacts
inputs:
targetType: inline
script: cp -a $(Agent.BuildDirectory)/rocm/* $(Build.BinariesDirectory)/
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: hipBLAS-common
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -14,54 +33,103 @@ parameters:
type: object
default:
- cmake
- ninja-build
- git
- ninja-build
- wget
- python3-pip
- name: rocmDependencies
type: object
default:
- rocm-cmake
- llvm-project
- ROCR-Runtime
- clr
- llvm-project
- rocm-cmake
- rocminfo
- ROCR-Runtime
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
# - name: downstreamComponentMatrix
# type: object
# default:
# - hipBLASLt:
# name: hipBLASLt
# sparseCheckoutDir: projects/hipblaslt
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - hipBLAS_common_build
jobs:
- job: hipBLAS_common
variables:
- group: common
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# extraEnvVars:
# - ROCM_PATH:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipBLAS_common_build_${{ job.os }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
componentName: ${{ parameters.componentName }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# extraEnvVars:
# - ROCM_PATH:::/home/user/workspace/rocm
# - ${{ if parameters.triggerDownstreamJobs }}:
# - ${{ each component in parameters.downstreamComponentMatrix }}:
# - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
# - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
# parameters:
# checkoutRepo: ${{ parameters.checkoutRepo }}
# sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: hipBLASLt
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -13,6 +32,8 @@ parameters:
- name: aptPackages
type: object
default:
- ccache
- gfortran
- git
- libdrm-dev
- libmsgpack-dev
@@ -20,9 +41,6 @@ parameters:
- ninja-build
- python3-pip
- python3-venv
- gfortran
- libblas-dev
- ccache
- name: pipModules
type: object
default:
@@ -37,6 +55,7 @@ parameters:
- hipBLAS-common
- llvm-project
- rocminfo
- rocm-cmake
- rocm_smi_lib
- rocprofiler-register
- ROCR-Runtime
@@ -58,20 +77,37 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
# - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
# - { os: almalinux8, packageManager: dnf, target: gfx942 }
# - { os: almalinux8, packageManager: dnf, target: gfx90a }
# - { os: almalinux8, packageManager: dnf, target: gfx1201 }
# - { os: almalinux8, packageManager: dnf, target: gfx1100 }
# - { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
# - name: downstreamComponentMatrix
# type: object
# default:
# - rocBLAS:
# name: rocBLAS
# sparseCheckoutDir: projects/rocblas
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - hipBLASLt_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipBLASLt_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
timeoutInMinutes: 300
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -86,6 +122,10 @@ jobs:
- name: DAY_STRING
value: $[format('{0:ddMMyyyy}', pipeline.startTime)]
pool: ${{ variables.ULTRA_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
@@ -93,17 +133,22 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-cmake-latest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- task: Bash@3
displayName: Add ROCm binaries to PATH
inputs:
@@ -111,22 +156,20 @@ jobs:
script: |
echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
# Build and install gtest, lapack, hipBLAS-common
# $(Pipeline.Workspace)/deps is a temporary folder for the build process
# $(Pipeline.Workspace)/s/deps is part of the hipBLASLt repo
- script: mkdir $(Pipeline.Workspace)/deps
displayName: Create temp folder for external dependencies
# hipBLASLt already has a CMake script for external deps, so we can just run that
# https://github.com/ROCm/hipBLASLt/blob/develop/deps/CMakeLists.txt
- script: cmake $(Pipeline.Workspace)/s/deps
displayName: Configure hipBLASLt external dependencies
workingDirectory: $(Pipeline.Workspace)/deps
- script: make
displayName: Build hipBLASLt external dependencies
workingDirectory: $(Pipeline.Workspace)/deps
- script: sudo make install
displayName: Install hipBLASLt external dependencies
workingDirectory: $(Pipeline.Workspace)/deps
# hipBLASLt has a script for gtest and lapack
# https://github.com/ROCm/hipBLASLt/blob/develop/deps/CMakeLists.txt
# $(Agent.BuildDirectory)/deps is a temporary folder for the build process
# $(Agent.BuildDirectory)/s/deps is part of the hipBLASLt repo
- task: Bash@3
displayName: Build and install external dependencies
inputs:
targetType: inline
script: |
mkdir -p $(Agent.BuildDirectory)/deps
cd $(Agent.BuildDirectory)/deps
cmake -DCMAKE_POSITION_INDEPENDENT_CODE=ON $(Agent.BuildDirectory)/s/deps
make
sudo make install
- script: |
mkdir -p $(CCACHE_DIR)
echo "##vso[task.prependpath]/usr/lib/ccache"
@@ -134,93 +177,117 @@ jobs:
- task: Cache@2
displayName: Ccache caching
inputs:
key: hipBLASLt | $(Agent.OS) | ${{ job.target }} | $(DAY_STRING) | $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
key: hipBLASLt | ${{ job.os }} | ${{ job.target }} | $(DAY_STRING) | $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
path: $(CCACHE_DIR)
restoreKeys: |
hipBLASLt | $(Agent.OS) | ${{ job.target }} | $(DAY_STRING)
hipBLASLt | $(Agent.OS) | ${{ job.target }}
hipBLASLt | $(Agent.OS)
hipBLASLt | ${{ job.os }} | ${{ job.target }} | $(DAY_STRING)
hipBLASLt | ${{ job.os }} | ${{ job.target }}
hipBLASLt | ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_INCLUDE_PATH=$(Agent.BuildDirectory)/rocm/llvm/include
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache
-DCMAKE_C_COMPILER_LAUNCHER=ccache
-DAMDGPU_TARGETS=${{ job.target }}
-DTensile_LOGIC=
-DTensile_CPU_THREADS=
-DTensile_LIBRARY_FORMAT=msgpack
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
-DBUILD_CLIENTS_TESTS=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
gpuTarget: ${{ job.target }}
extraPaths: /home/user/workspace/rocm/llvm/bin:/home/user/workspace/rocm/bin
installLatestCMake: true
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- TENSILE_ROCM_ASSEMBLER_PATH:::/home/user/workspace/rocm/llvm/bin/amdclang
- TENSILE_ROCM_OFFLOAD_BUNDLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang-offload-bundler
- ROCM_PATH:::/home/user/workspace/rocm
extraCopyDirectories:
- deps
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
gpuTarget: ${{ job.target }}
extraPaths: /home/user/workspace/rocm/llvm/bin:/home/user/workspace/rocm/bin
installLatestCMake: true
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- TENSILE_ROCM_ASSEMBLER_PATH:::/home/user/workspace/rocm/llvm/bin/amdclang
- TENSILE_ROCM_OFFLOAD_BUNDLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang-offload-bundler
- ROCM_PATH:::/home/user/workspace/rocm
extraCopyDirectories:
- deps
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipBLASLt_test_${{ job.target }}
timeoutInMinutes: 300
dependsOn: hipBLASLt_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: hipBLASLt
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './hipblaslt-test'
testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes --gtest_filter=*pre_checkin*'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
timeoutInMinutes: 300
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './hipblaslt-test'
testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes --gtest_filter=*pre_checkin*'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
environment: test
gpuTarget: ${{ job.target }}
# - ${{ if parameters.triggerDownstreamJobs }}:
# - ${{ each component in parameters.downstreamComponentMatrix }}:
# - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
# - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
# parameters:
# checkoutRepo: ${{ parameters.checkoutRepo }}
# sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: hipCUB
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -14,9 +33,8 @@ parameters:
type: object
default:
- cmake
- ninja-build
- libgtest-dev
- git
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
@@ -33,103 +51,143 @@ parameters:
- llvm-project
- rocminfo
- rocPRIM
- ROCR-Runtime
- rocprofiler-register
- ROCR-Runtime
- name: jobMatrix
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipCUB_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-DBUILD_BENCHMARK=ON
-DBUILD_TEST=ON
-DAMDGPU_TARGETS=${{ job.target }}
-GNinja
extraCxxFlags: -Wno-deprecated-declarations
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipCUB_test_${{ job.target }}
dependsOn: hipCUB_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: hipCUB
testDir: '$(Agent.BuildDirectory)/rocm/bin/hipcub'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin/hipcub'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: hipFFT
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -61,7 +80,11 @@ parameters:
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipFFT_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.target }} # todo: add OS
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -79,12 +102,15 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
@@ -102,9 +128,11 @@ jobs:
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
@@ -113,8 +141,8 @@ jobs:
# gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipFFT_test_${{ job.target }}
dependsOn: hipFFT_build_${{ job.target }}
- job: ${{ parameters.componentName }}_test_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -134,6 +162,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
@@ -141,10 +170,12 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: hipFFT
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './hipfft-test'
testParameters: '--test_prob 0.002 --gtest_output=xml:./test_output.xml --gtest_color=yes'

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: hipRAND
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -14,18 +33,18 @@ parameters:
type: object
default:
- cmake
- ninja-build
- googletest
- git
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
default:
- llvm-project
- ROCR-Runtime
- clr
- llvm-project
- rocm-cmake
- rocminfo
- rocRAND
- ROCR-Runtime
- name: rocmTestDependencies
type: object
default:
@@ -33,110 +52,168 @@ parameters:
- llvm-project
- rocminfo
- rocprofiler-register
- ROCR-Runtime
- rocRAND
- ROCR-Runtime
- name: jobMatrix
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
# - name: downstreamComponentMatrix
# type: object
# default:
# - rocFFT:
# name: rocFFT
# sparseCheckoutDir: projects/rocfft
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - hipRAND_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipRAND_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: HIP_ROCCLR_HOME
value: $(Build.BinariesDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-DBUILD_TEST=ON
-DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-DCMAKE_BUILD_TYPE=Release
-DAMDGPU_TARGETS=${{ job.target }}
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# gpuTarget: ${{ job.target }}
# extraEnvVars:
# - HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipRAND_test_${{ job.target }}
dependsOn: hipRAND_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: hipRAND
testDir: '$(Agent.BuildDirectory)/rocm/bin/hipRAND'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin/hipRAND'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
# - ${{ if parameters.triggerDownstreamJobs }}:
# - ${{ each component in parameters.downstreamComponentMatrix }}:
# - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
# - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
# parameters:
# checkoutRepo: ${{ parameters.checkoutRepo }}
# sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -14,146 +14,188 @@ parameters:
type: object
default:
- cmake
- python3-pip
- libnuma-dev
- ninja-build
- python-is-python3
- zlib1g-dev
- pkg-config
- python-is-python3
- python3-pip
- zlib1g-dev
- name: rocmDependencies
type: object
default:
- rocm-cmake
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: llvm_project
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: HIP_DEVICE_LIB_PATH
value: '$(Build.BinariesDirectory)/amdgcn/bitcode'
- name: HIP_PATH
value: '$(Agent.BuildDirectory)/rocm'
pool: ${{ variables.ULTRA_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
skipLlvmSymlink: true
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: rocm-llvm
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.BinariesDirectory)/llvm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DLLVM_ENABLE_PROJECTS=clang;lld;clang-tools-extra;mlir;flang
-DLLVM_ENABLE_RUNTIMES=compiler-rt;libunwind;libcxx;libcxxabi
-DCLANG_ENABLE_AMDCLANG=ON
-DLLVM_TARGETS_TO_BUILD=AMDGPU;X86
-DLIBCXX_ENABLE_SHARED=OFF
-DLIBCXX_ENABLE_STATIC=ON
-DLIBCXX_INSTALL_LIBRARY=OFF
-DLIBCXX_INSTALL_HEADERS=OFF
-DLIBCXXABI_ENABLE_SHARED=OFF
-DLIBCXXABI_ENABLE_STATIC=ON
-DLIBCXXABI_INSTALL_STATIC_LIBRARY=OFF
-DLLVM_BUILD_DOCS=OFF
-DLLVM_ENABLE_SPHINX=OFF
-DLLVM_ENABLE_ASSERTIONS=OFF
-DLLVM_ENABLE_Z3_SOLVER=OFF
-DLLVM_ENABLE_ZLIB=ON
-DCLANG_DEFAULT_LINKER=lld
-DCLANG_DEFAULT_RTLIB=compiler-rt
-DCLANG_DEFAULT_UNWINDLIB=libgcc
-DSANITIZER_AMDGPU=OFF
-DPACKAGE_VENDOR=AMD
-DCLANG_LINK_FLANG_LEGACY=ON
-DCMAKE_CXX_STANDARD=17
-DROCM_LLVM_BACKWARD_COMPAT_LINK=$(Build.BinariesDirectory)/llvm
-DROCM_LLVM_BACKWARD_COMPAT_LINK_TARGET=./lib/llvm
-GNinja
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm'
installDir: '$(Build.BinariesDirectory)/llvm'
# use llvm-lit to run unit tests for llvm, clang, and lld
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-llvm
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=llvm_test_output.xml --filter-out="live-debug-values-spill-tracking" ./test'
testOutputFile: llvm_test_output.xml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-clang
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=clang_test_output.xml ./tools/clang/test'
testOutputFile: clang_test_output.xml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-lld
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=lld_test_output.xml ./tools/lld/test'
testOutputFile: lld_test_output.xml
- task: CopyFiles@2
displayName: Copy FileCheck for Publishing
inputs:
CleanTargetFolder: false
SourceFolder: llvm/build/bin
Contents: FileCheck
TargetFolder: $(Build.BinariesDirectory)/llvm/bin
retryCount: 3
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: device-libs
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.SourcesDirectory)/llvm/build"
-DCMAKE_BUILD_TYPE=Release
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/device-libs/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/device-libs'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: comgr
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.SourcesDirectory)/llvm/build;$(Build.SourcesDirectory)/amd/device-libs/build"
-DCOMGR_DISABLE_SPIRV=1
-DCMAKE_BUILD_TYPE=Release
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/comgr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/comgr'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: comgr
testParameters: '--output-on-failure --force-new-ctest-process --output-junit comgr_test_output.xml'
testDir: 'amd/comgr/build'
testOutputFile: comgr_test_output.xml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: hipcc
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DHIPCC_BACKWARD_COMPATIBILITY=OFF
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/hipcc/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/hipcc'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: combined
extraEnvVars:
- HIP_DEVICE_LIB_PATH:::/home/user/workspace/bin/amdgcn/bitcode
- HIP_PATH:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: llvm_project_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
name: 'rocm-ci_high_build_pool_2404' #temporarily using 'high' pool while 'ultra' is down
${{ else }}:
name: 'rocm-ci_ultra_build_pool'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: HIP_DEVICE_LIB_PATH
value: '$(Build.BinariesDirectory)/amdgcn/bitcode'
- name: HIP_PATH
value: '$(Agent.BuildDirectory)/rocm'
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
skipLlvmSymlink: true
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: rocm-llvm
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.BinariesDirectory)/llvm;$(Build.BinariesDirectory)"
-DCMAKE_BUILD_TYPE=Release
-DLLVM_ENABLE_PROJECTS=clang;lld;clang-tools-extra;mlir;flang
-DLLVM_ENABLE_RUNTIMES=compiler-rt;libunwind;libcxx;libcxxabi
-DCLANG_ENABLE_AMDCLANG=ON
-DLLVM_TARGETS_TO_BUILD=AMDGPU;X86
-DLIBCXX_ENABLE_SHARED=OFF
-DLIBCXX_ENABLE_STATIC=ON
-DLIBCXX_INSTALL_LIBRARY=OFF
-DLIBCXX_INSTALL_HEADERS=OFF
-DLIBCXXABI_ENABLE_SHARED=OFF
-DLIBCXXABI_ENABLE_STATIC=ON
-DLIBCXXABI_INSTALL_STATIC_LIBRARY=OFF
-DLLVM_BUILD_DOCS=OFF
-DLLVM_ENABLE_SPHINX=OFF
-DLLVM_ENABLE_ASSERTIONS=OFF
-DLLVM_ENABLE_Z3_SOLVER=OFF
-DLLVM_ENABLE_ZLIB=ON
-DCLANG_DEFAULT_LINKER=lld
-DCLANG_DEFAULT_RTLIB=compiler-rt
-DCLANG_DEFAULT_UNWINDLIB=libgcc
-DSANITIZER_AMDGPU=OFF
-DPACKAGE_VENDOR=AMD
-DCLANG_LINK_FLANG_LEGACY=ON
-DCMAKE_CXX_STANDARD=17
-DROCM_LLVM_BACKWARD_COMPAT_LINK=$(Build.BinariesDirectory)/llvm
-DROCM_LLVM_BACKWARD_COMPAT_LINK_TARGET=./lib/llvm
-GNinja
cmakeBuildDir: '$(Build.SourcesDirectory)/llvm/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/llvm'
installDir: '$(Build.BinariesDirectory)/llvm'
# use llvm-lit to run unit tests for llvm, clang, and lld
- task: Bash@3
displayName: 'Copy llvm-lit to install directory'
inputs:
targetType: inline
script: |
cp $(Build.SourcesDirectory)/llvm/build/bin/llvm-lit $(Build.BinariesDirectory)/llvm/bin/
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-llvm
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=llvm_test_output.xml --filter-out="live-debug-values-spill-tracking" ./test'
testOutputFile: llvm_test_output.xml
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-clang
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=clang_test_output.xml ./tools/clang/test'
testOutputFile: clang_test_output.xml
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: check-lld
testDir: 'llvm/build'
testExecutable: './bin/llvm-lit'
testParameters: '-q --xunit-xml-output=lld_test_output.xml ./tools/lld/test'
testOutputFile: lld_test_output.xml
os: ${{ job.os }}
- task: CopyFiles@2
displayName: Copy FileCheck for Publishing
inputs:
CleanTargetFolder: false
SourceFolder: llvm/build/bin
Contents: FileCheck
TargetFolder: $(Build.BinariesDirectory)/llvm/bin
retryCount: 3
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: device-libs
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.SourcesDirectory)/llvm/build"
-DCMAKE_BUILD_TYPE=Release
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/device-libs/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/device-libs'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: comgr
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Build.SourcesDirectory)/llvm/build;$(Build.SourcesDirectory)/amd/device-libs/build"
-DCOMGR_DISABLE_SPIRV=1
-DCMAKE_BUILD_TYPE=Release
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/comgr/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/comgr'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: comgr
testParameters: '--output-on-failure --force-new-ctest-process --output-junit comgr_test_output.xml'
testDir: 'amd/comgr/build'
testOutputFile: comgr_test_output.xml
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: hipcc
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DHIPCC_BACKWARD_COMPATIBILITY=OFF
cmakeBuildDir: '$(Build.SourcesDirectory)/amd/hipcc/build'
cmakeSourceDir: '$(Build.SourcesDirectory)/amd/hipcc'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: combined
extraEnvVars:
- HIP_DEVICE_LIB_PATH:::/home/user/workspace/bin/amdgcn/bitcode
- HIP_PATH:::/home/user/workspace/rocm

View File

@@ -15,7 +15,6 @@ parameters:
default:
- cmake
- git
- googletest
- libboost-program-options-dev
- libdrm-dev
- libfftw3-dev
@@ -90,6 +89,10 @@ jobs:
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
submoduleBehaviour: recursive
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
@@ -101,12 +104,11 @@ jobs:
extraBuildFlags: >-
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/bin/hipcc
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/bin/hipcc
-DHALF_INCLUDE_DIR=$(Agent.BuildDirectory)/rocm/include
-DCMAKE_BUILD_TYPE=Release
-DROCM_PATH=$(Agent.BuildDirectory)/rocm
-DBUILD_TESTS=ON
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/rocm/share/rocm/cmake;$(Agent.BuildDirectory)/rocm/libexec/hipify
-DAMDGPU_TARGETS=${{ job.target }}
-DGPU_TARGETS=${{ job.target }}
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: rocBLAS
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -64,19 +83,43 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
# - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
# - { os: almalinux8, packageManager: dnf, target: gfx942 }
# - { os: almalinux8, packageManager: dnf, target: gfx90a }
# - { os: almalinux8, packageManager: dnf, target: gfx1201 }
# - { os: almalinux8, packageManager: dnf, target: gfx1100 }
# - { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
# - name: downstreamComponentMatrix
# type: object
# default:
# # rocSOLVER depends on both rocBLAS and rocPRIM
# # for a unified build, rocBLAS will be the one to call rocSOLVER
# - rocSOLVER:
# name: rocSOLVER
# sparseCheckoutDir: projects/rocsolver
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - rocBLAS_build
# unifiedBuild:
# downstreamAggregateNames: rocBLAS+rocPRIM
# buildDependsOn:
# - rocBLAS_build
# - rocPRIM_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocBLAS_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -89,6 +132,10 @@ jobs:
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
@@ -96,19 +143,26 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-cmake-latest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aocl.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
extraBuildFlags: >-
-DCMAKE_TOOLCHAIN_FILE=toolchain-linux.cmake
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm/llvm;$(Agent.BuildDirectory)/rocm
@@ -128,63 +182,94 @@ jobs:
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
installAOCL: true
gpuTarget: ${{ job.target }}
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- TENSILE_ROCM_ASSEMBLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang
- TENSILE_ROCM_OFFLOAD_BUNDLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang-offload-bundler
- ROCM_PATH:::/home/user/workspace/rocm
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
installAOCL: true
gpuTarget: ${{ job.target }}
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- TENSILE_ROCM_ASSEMBLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang
- TENSILE_ROCM_OFFLOAD_BUNDLER_PATH:::/home/user/workspace/rocm/llvm/bin/clang-offload-bundler
- ROCM_PATH:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocBLAS_test_${{ job.target }}
dependsOn: rocBLAS_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocBLAS
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './rocblas-test'
testParameters: '--yaml rocblas_smoke.yaml --gtest_output=xml:./test_output.xml --gtest_color=yes'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './rocblas-test'
testParameters: '--yaml rocblas_smoke.yaml --gtest_output=xml:./test_output.xml --gtest_color=yes'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
environment: test
gpuTarget: ${{ job.target }}
# - ${{ if parameters.triggerDownstreamJobs }}:
# - ${{ each component in parameters.downstreamComponentMatrix }}:
# - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
# - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
# parameters:
# checkoutRepo: ${{ parameters.checkoutRepo }}
# sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}
# ${{ if parameters.unifiedBuild }}:
# buildDependsOn: ${{ component.unifiedBuild.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ component.unifiedBuild.downstreamAggregateNames }}
# ${{ else }}:
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: rocDecode
- name: checkoutRepo
type: string
default: 'self'
@@ -13,29 +16,28 @@ parameters:
- name: aptPackages
type: object
default:
- python3-pip
- cmake
- ninja-build
- pkg-config
- ffmpeg
- libavcodec-dev
- libavformat-dev
- libavutil-dev
- libdrm-dev
- libstdc++-12-dev
- libva-amdgpu-dev
- mesa-amdgpu-va-drivers
- libdrm-dev
- ninja-build
- pkg-config
- python3-pip
- name: rocmDependencies
type: object
default:
- rocm-cmake
- llvm-project
- ROCR-Runtime
- clr
- rocminfo
- llvm-project
- rocm-cmake
- rocm-core
- rocminfo
- rocprofiler-register
- ROCR-Runtime
- name: rocmTestDependencies
type: object
default:
@@ -48,53 +50,70 @@ parameters:
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: rocDecode_build
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# registerROCmPackages: true
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_BUILD_TYPE=Release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# registerROCmPackages: true
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocDecode_test_${{ job.target }}
dependsOn: rocDecode_build
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -114,20 +133,27 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- task: Bash@3
displayName: Build rocDecode tests
inputs:
targetType: inline
script: |
${{ iif(eq(job.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
mkdir rocDecode-tests
cd rocDecode-tests
cmake $(Agent.BuildDirectory)/rocm/share/rocdecode/test
@@ -136,6 +162,7 @@ jobs:
parameters:
componentName: rocDecode
testDir: 'rocDecode-tests'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: rocFFT
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -59,10 +78,23 @@ parameters:
target: gfx942
- gfx90a:
target: gfx90a
# - name: downstreamComponentMatrix
# type: object
# default:
# - hipFFT:
# name: hipFFT
# sparseCheckoutDir: projects/hipfft
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - rocFFT_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocFFT_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }} # todo: un-hardcode OS
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -79,12 +111,15 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
@@ -101,9 +136,11 @@ jobs:
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
@@ -114,8 +151,8 @@ jobs:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocFFT_test_${{ job.target }}
dependsOn: rocFFT_build_${{ job.target }}
- job: ${{ parameters.componentName }}_test_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -135,6 +172,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
@@ -142,10 +180,12 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocFFT
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './rocfft-test'
testParameters: '--test_prob 0.004 --gtest_output=xml:./test_output.xml --gtest_color=yes'
@@ -154,3 +194,15 @@ jobs:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
# - ${{ if parameters.triggerDownstreamJobs }}:
# - ${{ each component in parameters.downstreamComponentMatrix }}:
# - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
# - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
# parameters:
# checkoutRepo: ${{ parameters.checkoutRepo }}
# sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: rocJPEG
- name: checkoutRepo
type: string
default: 'self'
@@ -44,32 +47,44 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocJPEG_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'ubuntu2404') }}:
name: rocm-ci_medium_build_pool_2404
${{ else }}:
name: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
@@ -80,17 +95,26 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
-DCMAKE_BUILD_TYPE=Release
-DGPU_TARGETS=${{ job.target }}
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
@@ -99,8 +123,8 @@ jobs:
# registerROCmPackages: true
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocJPEG_test_${{ job.target }}
dependsOn: rocJPEG_build_${{ job.target }}
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -120,22 +144,28 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- task: Bash@3
displayName: Build rocJPEG tests
inputs:
targetType: inline
script: |
${{ iif(eq(job.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
mkdir rocJPEG-tests
cd rocJPEG-tests
cmake $(Agent.BuildDirectory)/rocm/share/rocjpeg/test
@@ -144,6 +174,7 @@ jobs:
parameters:
componentName: rocJPEG
testDir: 'rocJPEG-tests'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -1,16 +1,29 @@
parameters:
- name: componentName
type: string
default: rocPRIM
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
- name: sparseCheckout
type: boolean
default: false
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -20,18 +33,17 @@ parameters:
type: object
default:
- cmake
- ninja-build
- libgtest-dev
- git
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
default:
- rocm-cmake
- llvm-project
- ROCR-Runtime
- clr
- llvm-project
- rocm-cmake
- rocminfo
- ROCR-Runtime
- name: rocmTestDependencies
type: object
default:
@@ -45,98 +57,175 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942, shard: 1, shardCount: 3 }
- { os: ubuntu2204, packageManager: apt, target: gfx942, shard: 2, shardCount: 3 }
- { os: ubuntu2204, packageManager: apt, target: gfx942, shard: 3, shardCount: 3 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a, shard: 1, shardCount: 3 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a, shard: 2, shardCount: 3 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a, shard: 3, shardCount: 3 }
- name: downstreamComponentMatrix
type: object
default:
- rocThrust:
name: rocThrust
sparseCheckoutDir: projects/rocthrust
skipUnifiedBuild: 'false'
buildDependsOn:
- rocPRIM_build
- hipCUB:
name: hipCUB
sparseCheckoutDir: projects/hipcub
skipUnifiedBuild: 'false'
buildDependsOn:
- rocPRIM_build
# rocSOLVER depends on both rocBLAS and rocPRIM
# for a unified build, rocBLAS will be the one to call rocSOLVER
# - rocSOLVER:
# name: rocSOLVER
# sparseCheckoutDir: projects/rocsolver
# skipUnifiedBuild: 'true'
# buildDependsOn:
# - rocPRIM_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocPRIM_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckout: ${{ parameters.sparseCheckout }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DBUILD_BENCHMARK=ON
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DAMDGPU_TARGETS=${{ job.target }}
-DBUILD_BENCHMARK=ON
-DBUILD_TEST=ON
-GNinja
extraCxxFlags: -Wno-deprecated-declarations
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocPRIM_test_${{ job.target }}
dependsOn: rocPRIM_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocPRIM
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocprim'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}_shard_${{ job.shard }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocprim'
extraTestParameters: '-I ${{ job.shard }},,${{ job.shardCount }}'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if parameters.triggerDownstreamJobs }}:
- ${{ each component in parameters.downstreamComponentMatrix }}:
- ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
- template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
buildDependsOn: ${{ component.buildDependsOn }}
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
triggerDownstreamJobs: true
unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: rocRAND
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -15,18 +34,16 @@ parameters:
default:
- cmake
- git
- googletest
- libgtest-dev
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
default:
- rocm-cmake
- llvm-project
- ROCR-Runtime
- clr
- llvm-project
- rocm-cmake
- rocminfo
- ROCR-Runtime
- name: rocmTestDependencies
type: object
default:
@@ -40,56 +57,96 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- name: downstreamComponentMatrix
type: object
default:
- hipRAND:
name: hipRAND
sparseCheckoutDir: projects/hiprand
skipUnifiedBuild: 'false'
buildDependsOn:
- rocRAND_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocRAND_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: HIP_ROCCLR_HOME
value: $(Build.BinariesDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
name: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DBUILD_TEST=ON
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DAMDGPU_TARGETS=${{ job.target }}
-DBUILD_TEST=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
@@ -98,42 +155,63 @@ jobs:
# extraEnvVars:
# - HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocRAND_test_${{ job.target }}
dependsOn: rocRAND_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocRAND
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocRAND'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocRAND'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if parameters.triggerDownstreamJobs }}:
- ${{ each component in parameters.downstreamComponentMatrix }}:
- ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
- template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
buildDependsOn: ${{ component.buildDependsOn }}
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
triggerDownstreamJobs: true
unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: rocSOLVER
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -26,14 +45,12 @@ parameters:
type: object
default:
- clr
- hipSPARSE
- llvm-project
- rocBLAS
- rocm-cmake
- rocminfo
- rocPRIM
- ROCR-Runtime
- rocSPARSE
- name: rocmTestDependencies
type: object
default:
@@ -55,33 +72,47 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
# - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
# - { os: almalinux8, packageManager: dnf, target: gfx942 }
# - { os: almalinux8, packageManager: dnf, target: gfx90a }
# - { os: almalinux8, packageManager: dnf, target: gfx1201 }
# - { os: almalinux8, packageManager: dnf, target: gfx1100 }
# - { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocSOLVER_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- task: Bash@3
displayName: 'Clone lapack'
inputs:
@@ -92,11 +123,15 @@ jobs:
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: lapack
os: ${{ job.os }}
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_Fortran_FLAGS=-fno-optimize-sibling-calls
@@ -109,6 +144,7 @@ jobs:
installDir: '$(Pipeline.Workspace)/deps-install'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Pipeline.Workspace)/deps-install
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
@@ -120,56 +156,71 @@ jobs:
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
extraCopyDirectories:
- deps-install
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
extraCopyDirectories:
- deps-install
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocSOLVER_test_${{ job.target }}
dependsOn: rocSOLVER_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocSOLVER
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './rocsolver-test'
testParameters: '--gtest_filter="*checkin*" --gtest_output=xml:./test_output.xml --gtest_color=yes'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
os: ${{ job.os }}
testDir: '$(Agent.BuildDirectory)/rocm/bin'
testExecutable: './rocsolver-test'
testParameters: '--gtest_filter="*checkin*" --gtest_output=xml:./test_output.xml --gtest_color=yes'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}

View File

@@ -1,10 +1,29 @@
parameters:
- name: componentName
type: string
default: rocThrust
- name: checkoutRepo
type: string
default: 'self'
- name: checkoutRef
type: string
default: ''
# monorepo related parameters
- name: sparseCheckoutDir
type: string
default: ''
- name: triggerDownstreamJobs
type: boolean
default: false
- name: downstreamAggregateNames
type: string
default: ''
- name: buildDependsOn
type: object
default: null
- name: unifiedBuild
type: boolean
default: false
# set to true if doing full build of ROCm stack
# and dependencies are pulled from same pipeline
- name: aggregatePipeline
@@ -14,18 +33,17 @@ parameters:
type: object
default:
- cmake
- git
- ninja-build
- libboost-program-options-dev
- googletest
- libfftw3-dev
- git
- python3-pip
- name: rocmDependencies
type: object
default:
- clr
- hipRAND
- llvm-project
- rocm-cmake
- rocminfo
- rocPRIM
- ROCR-Runtime
@@ -36,104 +54,142 @@ parameters:
- llvm-project
- rocminfo
- rocPRIM
- ROCR-Runtime
- hipRAND
- rocprofiler-register
- ROCR-Runtime
- name: jobMatrix
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocThrust_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
consolidateBuildAndInstall: true
extraBuildFlags: >-
-GNinja
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DROCM_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-DAMDGPU_TARGETS=${{ job.target }}
-DBUILD_TEST=ON
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
componentName: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocThrust_test_${{ job.target }}
dependsOn: rocThrust_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocThrust
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocthrust'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool: ${{ job.target }}_test_pool
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
preTargetFilter: ${{ parameters.componentName }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testDir: '$(Agent.BuildDirectory)/rocm/bin/rocthrust'
testParameters: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex "scan.hip"'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
environment: test
gpuTarget: ${{ job.target }}

View File

@@ -16,8 +16,6 @@ parameters:
- doxygen
- doxygen-doc
- ninja-build
- python3-pip
- python3-sphinx
- name: pipModules
type: object
default:
@@ -25,49 +23,75 @@ parameters:
- cmake==3.20.5
- ninja
- rocm-docs-core
- sphinx
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: rocm_cmake
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- task: Bash@3
displayName: Add CMake to PATH
inputs:
targetType: inline
script: echo "##vso[task.prependpath]$(python3 -m site --user-base)/bin"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
- task: Bash@3
displayName: CTest setup
inputs:
targetType: inline
script: |
python -m pip install -r $(Build.SourcesDirectory)/docs/requirements.txt
python -m pip install -r $(Build.SourcesDirectory)/test/docsphinx/docs/.sphinx/requirements.txt
git config --global user.email "you@example.com"
git config --global user.name "Your Name"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocm-cmake
testParameters: '-E "pass-version-parent" --output-on-failure --force-new-ctest-process --output-junit test_output.xml'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: combined
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocm_cmake_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- task: Bash@3
displayName: Add CMake to PATH
inputs:
targetType: inline
script: echo "##vso[task.prependpath]$(python3 -m site --user-base)/bin"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
- task: Bash@3
displayName: CTest setup
inputs:
targetType: inline
script: |
python -m pip install -r $(Build.SourcesDirectory)/docs/requirements.txt
python -m pip install -r $(Build.SourcesDirectory)/test/docsphinx/docs/.sphinx/requirements.txt
git config --global user.email "you@example.com"
git config --global user.name "Your Name"
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocm-cmake
testParameters: '-E "pass-version-parent" --output-on-failure --force-new-ctest-process --output-junit test_output.xml'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# pipModules: ${{ parameters.pipModules }}
# environment: combined

View File

@@ -15,39 +15,61 @@ parameters:
default:
- cmake
- ninja-build
- python3-pip
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: rocm_core
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_CURRENT_BINARY_DIR=$PWD
-DCMAKE_CURRENT_SOURCE_DIR=$PWD/../
-DCMAKE_VERBOSE_MAKEFILE=1
-DCPACK_GENERATOR=DEB
-DCPACK_DEBIAN_PACKAGE_RELEASE="local.9999~99.99"
-DCPACK_RPM_PACKAGE_RELEASE="local.9999"
-DROCM_VERSION="$(NEXT_RELEASE_VERSION)"
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocm_core_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_CURRENT_BINARY_DIR=$PWD
-DCMAKE_CURRENT_SOURCE_DIR=$PWD/../
-DCMAKE_VERBOSE_MAKEFILE=1
-DCPACK_GENERATOR=DEB
-DCPACK_DEBIAN_PACKAGE_RELEASE="local.9999~99.99"
-DCPACK_RPM_PACKAGE_RELEASE="local.9999"
-DROCM_VERSION="$(NEXT_RELEASE_VERSION)"
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}

View File

@@ -15,6 +15,7 @@ parameters:
default:
- cmake
- libglfw3-dev
- libmsgpack-dev
- libtbb-dev
- ninja-build
- python3-pip

View File

@@ -17,50 +17,66 @@ parameters:
- libdrm-dev
- ninja-build
- pkg-config
- python3-pip
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: rocm_smi_lib_build
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DBUILD_TESTS=ON
-DROCM_DEP_ROCMCORE=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocm_smi_lib_build_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DBUILD_TESTS=ON
-DROCM_DEP_ROCMCORE=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocm_smi_lib_test_${{ job.target }}
dependsOn: rocm_smi_lib_build
- job: rocm_smi_lib_test_${{ job.os }}_${{ job.target }}
dependsOn: rocm_smi_lib_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -77,8 +93,11 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
parameters:
runRocminfo: false
@@ -86,8 +105,9 @@ jobs:
parameters:
componentName: rocm_smi_lib
testDir: '$(Agent.BuildDirectory)'
testExecutable: './rocm/share/rocm_smi/rsmitst_tests/rsmitst'
testExecutable: 'sudo ./rocm/share/rocm_smi/rsmitst_tests/rsmitst'
testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -17,7 +17,6 @@ parameters:
- libdrm-amdgpu-dev
- libdrm-dev
- ninja-build
- python3-pip
- name: rocmDependencies
type: object
default:
@@ -32,49 +31,63 @@ parameters:
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- job: rocminfo
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
skipLlvmSymlink: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DROCRTST_BLD_TYPE=release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocminfo_build_${{ job.os }}
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
skipLlvmSymlink: true
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DROCRTST_BLD_TYPE=release
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocminfo_test_${{ job.target }}
dependsOn: rocminfo
dependsOn: rocminfo_build_${{ job.os }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -91,14 +104,18 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
parameters:
runRocminfo: false
@@ -109,6 +126,7 @@ jobs:
testExecutable: './rocm/bin/rocminfo'
testParameters: ''
testPublishResults: false
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocm_agent_enumerator
@@ -116,6 +134,7 @@ jobs:
testExecutable: './rocm/bin/rocm_agent_enumerator'
testParameters: ''
testPublishResults: false
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -24,24 +24,28 @@ parameters:
default:
- astunparse==1.6.2
- colorlover
- "dash>=1.12.0"
- dash-bootstrap-components
- dash-svg
- "dash>=3.0.0"
- kaleido==0.2.1
- matplotlib
- "numpy>=1.17.5"
- "pandas>=1.4.3"
- plotext
- plotille
- pymongo
- pyyaml
- tabulate
- tqdm
- dash-svg
- dash-bootstrap-components
- kaleido
- setuptools
- plotille
- tabulate
- textual
- textual_plotext
- textual-fspicker
- tqdm
- mock
- pytest
- pytest-cov
- pytest-xdist
- name: rocmDependencies
- name: rocmTestDependencies
type: object
default:
- amdsmi
@@ -114,14 +118,6 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
dependencySource: ${{ job.dependencySource }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
extraBuildFlags: >-
@@ -165,14 +161,6 @@ jobs:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- task: Bash@3
displayName: Add en_US.UTF-8 locale
inputs:
targetType: inline
script: |
sudo locale-gen en_US.UTF-8
sudo update-locale
locale -a
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
@@ -184,9 +172,17 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
dependencyList: ${{ parameters.rocmTestDependencies }}
dependencySource: ${{ job.dependencySource }}
gpuTarget: ${{ job.target }}
- task: Bash@3
displayName: Add en_US.UTF-8 locale
inputs:
targetType: inline
script: |
sudo locale-gen en_US.UTF-8
sudo update-locale
locale -a
- task: Bash@3
displayName: Add ROCm binaries to PATH
inputs:

View File

@@ -15,40 +15,62 @@ parameters:
default:
- cmake
- ninja-build
- python3-pip
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: ubuntu2404, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: rocprofiler_register
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: rocprofiler-register
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Build.BinariesDirectory)
-DROCPROFILER_REGISTER_BUILD_TESTS=ON
-DROCPROFILER_REGISTER_BUILD_SAMPLES=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocprofiler-register
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# environment: combined
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocprofiler_register_${{ job.os }}
pool:
${{ if eq(job.os, 'ubuntu2404') }}:
vmImage: 'ubuntu-24.04'
${{ else }}:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
variables:
- group: common
- template: /.azuredevops/variables-global.yml
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
componentName: rocprofiler-register
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_PREFIX_PATH=$(Build.BinariesDirectory)
-DROCPROFILER_REGISTER_BUILD_TESTS=ON
-DROCPROFILER_REGISTER_BUILD_SAMPLES=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocprofiler-register
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
# parameters:
# aptPackages: ${{ parameters.aptPackages }}
# environment: combined

View File

@@ -14,10 +14,12 @@ parameters:
type: object
default:
- build-essential
- cmake
- libdrm-amdgpu-dev
- libdrm-dev
- libdw-dev
- libelf-dev
- libsqlite3-dev
- libva-dev
- ninja-build
- pkg-config
@@ -74,8 +76,7 @@ jobs:
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
pool: ${{ variables.MEDIUM_BUILD_POOL }}
workspace:
clean: all
steps:

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: rocprofiler
- name: checkoutRepo
type: string
default: 'self'
@@ -15,7 +18,6 @@ parameters:
type: object
default:
- cmake
- libgtest-dev
- libdrm-dev
- libdw-dev
- libsystemd-dev
@@ -26,13 +28,13 @@ parameters:
- name: pipModules
type: object
default:
- pyyaml==5.3.1
- Cppheaderparser
- websockets
- matplotlib
- lxml
- barectf
- Cppheaderparser
- lxml
- matplotlib
- pandas
- pyyaml==5.3.1
- websockets
- name: rocmDependencies
type: object
default:
@@ -41,29 +43,33 @@ parameters:
- ROCdbgapi
- rocm-cmake
- rocm-core
- rocm_smi_lib
- rocminfo
- ROCR-Runtime
- rocm_smi_lib
- rocprofiler-register
- ROCR-Runtime
- roctracer
- name: jobMatrix
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: rocprofiler_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -72,6 +78,10 @@ jobs:
- name: ROCM_PATH
value: $(Agent.BuildDirectory)/rocm
pool: ${{ variables.MEDIUM_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
@@ -79,46 +89,59 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
parameters:
dependencyList:
- gtest
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_MODULE_PATH=$(Build.SourcesDirectory)/cmake_modules;$(Agent.BuildDirectory)/rocm/lib/cmake;$(Agent.BuildDirectory)/rocm/lib/cmake/hip
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_MODULE_PATH=$(Build.SourcesDirectory)/cmake_modules;$(Agent.BuildDirectory)/rocm/lib/cmake;$(Agent.BuildDirectory)/rocm/lib/cmake/hip;$(Agent.BuildDirectory)/rocm/lib64/cmake;$(Agent.BuildDirectory)/rocm/lib64/cmake/hip
-DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
-DENABLE_LDCONFIG=OFF
-DUSE_PROF_API=1
-DGPU_TARGETS=${{ job.target }}
-DAMDGPU_TARGETS=${{ job.target }}
multithreadFlag: -- -j32
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
gpuTarget: ${{ job.target }}
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ROCM_PATH:::/home/user/workspace/rocm
- ${{ if eq(job.os, 'ubuntu2204') }}:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
gpuTarget: ${{ job.target }}
extraEnvVars:
- HIP_ROCCLR_HOME:::/home/user/workspace/rocm
- ROCM_PATH:::/home/user/workspace/rocm
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: rocprofiler_test_${{ job.target }}
dependsOn: rocprofiler_build_${{ job.target }}
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -139,16 +162,21 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
@@ -157,12 +185,14 @@ jobs:
testExecutable: ./run.sh
testParameters: ''
testPublishResults: false
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: rocprofilerV2
testDir: $(Agent.BuildDirectory)/rocm
testExecutable: share/rocprofiler/tests/runUnitTests
testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -1,4 +1,7 @@
parameters:
- name: componentName
type: string
default: roctracer
- name: checkoutRepo
type: string
default: 'self'
@@ -18,7 +21,7 @@ parameters:
- graphviz
- libdrm-amdgpu-dev
- ninja-build
- python3-pip
- zlib1g-dev
- name: pipModules
type: object
default:
@@ -45,26 +48,32 @@ parameters:
type: object
default:
buildJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- { os: ubuntu2204, packageManager: apt, target: gfx1201 }
- { os: ubuntu2204, packageManager: apt, target: gfx1100 }
- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
- { os: almalinux8, packageManager: dnf, target: gfx942 }
- { os: almalinux8, packageManager: dnf, target: gfx90a }
- { os: almalinux8, packageManager: dnf, target: gfx1201 }
- { os: almalinux8, packageManager: dnf, target: gfx1100 }
- { os: almalinux8, packageManager: dnf, target: gfx1030 }
testJobs:
- gfx942:
target: gfx942
- gfx90a:
target: gfx90a
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: roctracer_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
- name: HIP_ROCCLR_HOME
value: $(Build.BinariesDirectory)/rocm
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
@@ -72,6 +81,7 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
@@ -83,21 +93,27 @@ jobs:
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
os: ${{ job.os }}
# the linker flags will not affect ubuntu2204 builds as the paths do not exist
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
useAmdclang: false
extraBuildFlags: >-
-DCMAKE_BUILD_TYPE=release
-DROCM_PATH=$(Agent.BuildDirectory)/rocm
-DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip
-DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip;$(Agent.BuildDirectory)/rocm/lib64/cmake/hip
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-DGPU_TARGETS=${{ job.target }}
-DAMDGPU_TARGETS=${{ job.target }}
-DCMAKE_POSITION_INDEPENDENT_CODE=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
# - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
@@ -108,8 +124,8 @@ jobs:
# registerROCmPackages: true
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: roctracer_test_${{ job.target }}
dependsOn: roctracer_build_${{ job.target }}
- job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -127,17 +143,20 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
packageManager: ${{ job.packageManager }}
registerROCmPackages: true
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
parameters:
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
@@ -146,6 +165,7 @@ jobs:
testParameters: ''
testDir: $(Agent.BuildDirectory)
testPublishResults: false
os: ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}

View File

@@ -11,36 +11,54 @@ parameters:
- name: aptPackages
type: object
default:
- git
- cmake
- git
- ninja-build
- name: jobMatrix
type: object
default:
buildJobs:
- { os: ubuntu2204, packageManager: apt }
- { os: almalinux8, packageManager: dnf }
jobs:
- job: gtest
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: ${{ variables.BASE_BUILD_POOL }}
workspace:
clean: all
steps:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- task: Bash@3
displayName: 'git clone gtest'
inputs:
targetType: inline
script: git clone -b ${{ parameters.gtestVersion }} https://github.com/google/googletest --depth=1 --shallow-submodules --recurse-submodules
workingDirectory: $(Agent.BuildDirectory)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
cmakeBuildDir: $(Agent.BuildDirectory)/googletest/build
cmakeSourceDir: $(Agent.BuildDirectory)/googletest
extraBuildFlags: >-
-DGTEST_FORCE_SHARED_CRT=ON
-DCMAKE_DEBUG_POSTFIX=d
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: gtest_${{ job.os }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
pool:
vmImage: 'ubuntu-22.04'
${{ if eq(job.os, 'almalinux8') }}:
container:
image: rocmexternalcicd.azurecr.io/manylinux228:latest
endpoint: ContainerService3
workspace:
clean: all
steps:
- checkout: none
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
- task: Bash@3
displayName: Clone GTest ${{ parameters.gtestVersion }}
inputs:
targetType: inline
script: git clone https://github.com/google/googletest -b ${{ parameters.gtestVersion }} --depth=1 --shallow-submodules --recurse-submodules
workingDirectory: $(Agent.BuildDirectory)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
cmakeBuildDir: $(Agent.BuildDirectory)/googletest/build
cmakeSourceDir: $(Agent.BuildDirectory)/googletest
useAmdclang: false
extraBuildFlags: >-
-DGTEST_FORCE_SHARED_CRT=ON
-DCMAKE_DEBUG_POSTFIX=d
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
parameters:
os: ${{ job.os }}

View File

@@ -4,71 +4,71 @@ parameters:
- name: aptPackages
type: object
default:
- build-essential
- git
- ninja-build
- openjdk-8-jdk
- ca-certificates
- autoconf
- bc
- bridge-utils
- build-essential
- ca-certificates
- ccache
- devscripts
- dkms
- doxygen
- fakeroot
- ffmpeg
- gfortran
- git
- gnutls-bin
- libamd2
- libavformat-dev
- libblas3
- libcamd2
- libccolamd2
- libcholmod3
- libcolamd2
- libdpkg-dev
- libdpkg-perl
- libdrm-amdgpu1
- libdrm-dev
- libelf-dev
- libfreetype-dev
- libgfortran5
- libgomp1
- libjpeg-dev
- libjpeg-turbo-official
- liblapack-dev
- liblapack3
- libmetis5
- libncurses-dev
- libnuma-dev
- libopenblas-dev
- libpth-dev
- libquadmath0
- libssh-dev
- libstdc++-12-dev
- libsuitesparseconfig5
- libswscale-dev
- libtinfo-dev
- libunwind-dev
- libwebp-dev
- llvm-dev
- ncurses-base
- ninja-build
- numactl
- openjdk-8-jdk
- python-is-python3
- python3-dev
- python3-pip
- python3-venv
- wget
- ncurses-base
- libncurses-dev
- numactl
- libnuma-dev
- libssh-dev
- libunwind-dev
- llvm-dev
- libpth-dev
- qemu-kvm
- re2c
- subversion
- fakeroot
- autoconf
- libgomp1
- libtinfo-dev
- libcholmod3
- libsuitesparseconfig5
- libstdc++-12-dev
- python-is-python3
- gfortran
- libgfortran5
- liblapack3
- libblas3
- libquadmath0
- libmetis5
- libamd2
- libcamd2
- libcolamd2
- libccolamd2
- libdrm-amdgpu1
- ccache
- wget
- zip
- libjpeg-turbo-official
- libjpeg-dev
- libwebp-dev
- libfreetype-dev
- gnutls-bin
- ffmpeg
- libopenblas-dev
- liblapack-dev
- libswscale-dev
- libavformat-dev
- name: pipModules
type: object
default:
- cmake
- astunparse
- "expecttest>=0.2.1"
- "expecttest>=0.3.0"
- hypothesis
- numpy
- psutil
@@ -76,8 +76,8 @@ parameters:
- requests
- setuptools==75.8.0
- types-dataclasses
- "typing-extensions>=4.8.0"
- "sympy>=1.13.0"
- "typing-extensions>=4.10.0"
- "sympy>=1.13.3"
- filelock
- networkx
- jinja2
@@ -97,36 +97,39 @@ parameters:
- name: rocmDependencies
type: object
default:
- rocminfo
- MIOpen
- clr
- hipBLAS
- hipBLASLt
- hipFFT
- hipRAND
- hipSOLVER
- hipSPARSE
- ROCR-Runtime
- hipSPARSELt
- llvm-project
- MIOpen
- rccl
- rocBLAS
- rocFFT
- rocm-core
- rocminfo
- rocm_smi_lib
- rocPRIM
- rocprofiler-register
- rocRAND
- ROCR-Runtime
- rocSOLVER
- rocSPARSE
- roctracer
- hipBLASLt
- rocprofiler-register
- rocm-core
- rocPRIM
# below are additional dependencies not called out by build script, but throw errors during cmake
- composable_kernel
- hipBLAS-common
- hipCUB
- rocThrust
- hipBLAS-common
- composable_kernel
- name: rocmTestDependencies
type: object
default:
# rocroller.so needed and is not included in the wheel
- hipBLASLt
- rocminfo
# Reference on what tests to run for torchvision found in private repo:
# https://github.com/ROCm/rocAutomation/blob/jenkins-pipelines/pytorch/pytorch_ci/test_pytorch_test1.sh#L54
@@ -240,12 +243,6 @@ jobs:
git clone https://github.com/pytorch/builder.git --depth=1 --recurse-submodules
sudo ln -s $(Build.SourcesDirectory)/builder /builder
workingDirectory: $(Build.SourcesDirectory)
- task: Bash@3
displayName: Temporarily Patch CK Submodule
inputs:
targetType: inline
script: git pull origin develop
workingDirectory: $(Build.SourcesDirectory)/pytorch/third_party/composable_kernel
- task: Bash@3
displayName: Install patchelf
inputs:
@@ -267,6 +264,11 @@ jobs:
script: |
sudo bash pytorch/.ci/docker/common/install_rocm_magma.sh $(MAGMA_ROCM)
workingDirectory: $(Build.SourcesDirectory)
- task: Bash@3
displayName: Install targeted typing_extensions for build
inputs:
targetType: inline
script: pip install --target=$(Build.SourcesDirectory)/pytorch/torch/.. typing_extensions
- task: Bash@3
displayName: Run ROCm Build Script
inputs:
@@ -281,7 +283,6 @@ jobs:
PYTORCH_ROOT=$(PYTORCH_ROOT)
CMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
DESIRED_DEVTOOLSET=$(DESIRED_DEVTOOLSET)
TORCH_PACKAGE_NAME=torch.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
PYTORCH_BUILD_VERSION=$(cat $(Build.SourcesDirectory)/pytorch/version.txt | cut -da -f1)
PYTORCH_BUILD_NUMBER=$(date -u +%Y%m%d)
SKIP_ALL_TESTS=1
@@ -322,8 +323,6 @@ jobs:
inputs:
targetType: inline
script: >-
TORCH_PACKAGE_NAME=torch.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
TORCHVISION_PACKAGE_NAME=torchvision.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
PYTORCH_VERSION=$(cat $(Build.SourcesDirectory)/pytorch/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
BUILD_VERSION=$(cat $(Build.SourcesDirectory)/vision/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
python3 setup.py bdist_wheel
@@ -400,11 +399,9 @@ jobs:
- task: DownloadPipelineArtifact@2
displayName: 'Download Pipeline Wheel Files'
inputs:
itemPattern: '**/*$(JOB_GPU_TARGET)*.whl'
itemPattern: '**/*.whl'
targetPath: $(Agent.BuildDirectory)
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
parameters:
dependencySource: staging
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
parameters:
dependencyList: ${{ parameters.rocmTestDependencies }}

View File

@@ -3,12 +3,21 @@ parameters:
- name: jobList
type: object
default:
- gfx942-staging:
target: gfx942
source: staging
- gfx90a-staging:
target: gfx90a
source: staging
- { os: ubuntu2204, target: gfx942, source: staging }
- { os: ubuntu2204, target: gfx90a, source: staging }
- { os: ubuntu2204, target: gfx1201, source: staging }
- { os: ubuntu2204, target: gfx1100, source: staging }
- { os: ubuntu2204, target: gfx1030, source: staging }
- { os: ubuntu2404, target: gfx942, source: staging }
- { os: ubuntu2404, target: gfx90a, source: staging }
- { os: ubuntu2404, target: gfx1201, source: staging }
- { os: ubuntu2404, target: gfx1100, source: staging }
- { os: ubuntu2404, target: gfx1030, source: staging }
- { os: almalinux8, target: gfx942, source: staging }
- { os: almalinux8, target: gfx90a, source: staging }
- { os: almalinux8, target: gfx1201, source: staging }
- { os: almalinux8, target: gfx1100, source: staging }
- { os: almalinux8, target: gfx1030, source: staging }
- name: rocmDependencies
type: object
default:
@@ -16,9 +25,9 @@ parameters:
- amdsmi
- aomp-extras
- aomp
- clr
- composable_kernel
- half
- HIP
- hip-tests
- hipBLAS
- hipBLAS-common
@@ -83,7 +92,7 @@ schedules:
jobs:
- ${{ each job in parameters.jobList }}:
- job: rocm_nightly_${{ job.target }}_${{ job.source }}
- job: rocm_nightly_${{ job.os }}_${{ job.target }}_${{ job.source }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -108,9 +117,9 @@ jobs:
parameters:
dependencySource: ${{ job.source }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
skipLibraryLinking: true
skipLlvmSymlink: true
- script: df -h
displayName: System disk space after ROCm
- script: du -sh $(Agent.BuildDirectory)/rocm

View File

@@ -28,12 +28,22 @@ resources:
endpoint: ROCm
name: ROCm/hipother
ref: ${{ parameters.checkoutRef }}
pipelines:
- pipeline: hip_pipeline
source: \experimental\HIP
trigger: true
- pipeline: hipother_pipeline
source: \experimental\hipother
trigger: true
trigger: none
pr: none
jobs:
- template: ${{ variables.CI_COMPONENT_PATH }}/HIP.yml
parameters:
checkoutRepo: release_repo
checkoutRef: ${{ parameters.checkoutRef }}
- ${{ if eq(variables['Build.Reason'], 'ResourceTrigger') }}:
- template: ${{ variables.CI_COMPONENT_PATH }}/copyHIP.yml@pipelines_repo
- ${{ if ne(variables['Build.Reason'], 'ResourceTrigger') }}:
- template: ${{ variables.CI_COMPONENT_PATH }}/HIP.yml@pipelines_repo
parameters:
checkoutRepo: release_repo
checkoutRef: ${{ parameters.checkoutRef }}

View File

@@ -19,36 +19,24 @@ parameters:
default: false
steps:
- task: Bash@3
displayName: Set allowPartiallySucceededBuilds
inputs:
targetType: inline
script: |
if [[ ",$ALLOWED_PARTIAL_SUCCEED_BUILDS," == *",${{ parameters.componentName }},"* ]]; then
echo "##vso[task.setvariable variable=allowPartiallySucceededBuilds;]true"
else
echo "##vso[task.setvariable variable=allowPartiallySucceededBuilds;]false"
fi
- task: DownloadPipelineArtifact@2
displayName: Download ${{ parameters.componentName }}
inputs:
${{ if eq(parameters.aggregatePipeline, false) }}:
itemPattern: '**/*${{ parameters.componentName }}*${{ parameters.fileFilter }}*'
targetPath: '$(Pipeline.Workspace)/d'
allowPartiallySucceededBuilds: true
${{ if parameters.aggregatePipeline }}:
buildType: 'current'
${{ else }}:
buildType: 'specific'
project: ROCm-CI
definition: ${{ parameters.pipelineId }}
specificBuildWithTriggering: true
itemPattern: '**/*${{ parameters.fileFilter }}*'
# aomp is a special case, since the trigger file is under ROCm/ROCm instead of the component repo
${{ if notIn(parameters.componentName, 'aomp') }}:
buildVersionToDownload: latestFromBranch # default is 'latest'
definition: ${{ parameters.pipelineId }}
branchName: refs/heads/${{ parameters.branchName }}
allowPartiallySucceededBuilds: $(allowPartiallySucceededBuilds)
targetPath: '$(Pipeline.Workspace)/d'
${{ else }}:
buildType: 'current'
itemPattern: '**/${{ parameters.componentName }}*${{ parameters.fileFilter }}*'
allowPartiallySucceededBuilds: $(allowPartiallySucceededBuilds)
targetPath: '$(Pipeline.Workspace)/d'
${{ if eq(parameters.componentName, 'aomp') }}:
buildVersionToDownload: latest # aomp trigger lives in ROCm/ROCm, so cannot use ROCm/aomp branch names
${{ else }}:
buildVersionToDownload: latestFromBranch
- task: ExtractFiles@1
displayName: Extract ${{ parameters.componentName }}
inputs:

View File

@@ -3,15 +3,21 @@
# publish can be toggled off for jobs that produce multiple tarballs
# for those cases, only publish the last call which puts all the tarballs in one container folder
parameters:
- name: artifactName
- name: componentName
type: string
default: 'drop'
- name: publish
type: boolean
default: true
default: $(Build.DefinitionName)
- name: gpuTarget
type: string
default: ''
- name: artifactName
type: string
default: drop
- name: publish
type: boolean
default: true
- name: os
type: string
default: 'ubuntu2204'
steps:
- task: ArchiveFiles@2
@@ -20,7 +26,7 @@ steps:
includeRootFolder: false
archiveType: 'tar'
tarCompression: 'gz'
archiveFile: '$(Build.ArtifactStagingDirectory)/$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.tar.gz'
archiveFile: '$(Build.ArtifactStagingDirectory)/${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}_$(System.JobAttempt).tar.gz'
- task: DeleteFiles@1
displayName: 'Cleanup Staging Area'
inputs:
@@ -32,7 +38,7 @@ steps:
inputs:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: echo "$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.tar.gz" >> pipelineArtifacts.txt
script: echo "${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}_$(System.JobAttempt).tar.gz" >> pipelineArtifacts.txt
# then publish it
- ${{ if parameters.publish }}:
- task: PublishPipelineArtifact@1
@@ -40,4 +46,5 @@ steps:
displayName: '${{ parameters.artifactName }} Publish'
retryCountOnTaskFailure: 3
inputs:
artifactName: ${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}_$(System.JobAttempt)
targetPath: '$(Build.ArtifactStagingDirectory)'

View File

@@ -1,4 +1,7 @@
parameters:
- name: os
type: string
default: 'ubuntu2204'
- name: componentName
type: string
default: ''
@@ -20,17 +23,23 @@ steps:
displayName: '${{ parameters.componentName }} configure flags'
inputs:
targetType: inline
script: ./configure --prefix=${{ parameters.installDir }} ${{ parameters.configureFlags }}
workingDirectory: ${{ parameters.buildDir }}
script: |
${{ iif(eq(parameters.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
./configure --prefix=${{ parameters.installDir }} ${{ parameters.configureFlags }}
- task: Bash@3
displayName: '${{ parameters.componentName }} make'
inputs:
targetType: inline
script: ${{ parameters.makeCallPrefix }} make -j$(nproc)
workingDirectory: ${{ parameters.buildDir }}
script: |
${{ iif(eq(parameters.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
${{ parameters.makeCallPrefix }} make -j$(nproc)
- task: Bash@3
displayName: '${{ parameters.componentName }} make install'
inputs:
targetType: inline
script: make install
workingDirectory: ${{ parameters.buildDir }}
script: |
${{ iif(eq(parameters.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
make install

View File

@@ -1,10 +1,16 @@
parameters:
- name: os
type: string
default: 'ubuntu2204'
- name: componentName
type: string
default: ''
- name: extraBuildFlags
type: string
default: ''
- name: extraCxxFlags
type: string
default: ''
- name: multithreadFlag
type: string
default: ''
@@ -32,41 +38,81 @@ parameters:
- name: installEnabled
type: boolean
default: true
# for jobs that rebuild during install step and use ninja
# set to true to save time, only applies for almalinux8
- name: consolidateBuildAndInstall
type: boolean
default: false
- name: printDiskSpace
type: boolean
default: true
# todo: make this control cxx and c compiler flags
- name: useAmdclang
type: boolean
default: true
# for cmake calls, set env variables for AlmaLinux 8
# to simulate running source /opt/rh/gcc-toolset-14/enable for the session
steps:
# create workingDirectory if it does not exist and change into it
# call cmake from within that directory using $cmakeArgs as its parameters
- task: CMake@1
displayName: '${{parameters.componentName }} CMake Flags'
${{ if eq(parameters.os, 'almalinux8')}}:
env:
PATH: "/opt/rh/gcc-toolset-14/root/usr/bin:$(PATH)"
MANPATH: "/opt/rh/gcc-toolset-14/root/usr/share/man:$(MANPATH)"
INFOPATH: "/opt/rh/gcc-toolset-14/root/usr/share/info:$(INFOPATH)"
PCP_DIR: "/opt/rh/gcc-toolset-14/root"
LD_LIBRARY_PATH: "/opt/rh/gcc-toolset-14/root/usr/lib64:/opt/rh/gcc-toolset-14/root/usr/lib:$(LD_LIBRARY_PATH)"
PKG_CONFIG_PATH: "/opt/rh/gcc-toolset-14/root/usr/lib64/pkgconfig:$(PKG_CONFIG_PATH)"
inputs:
workingDirectory: ${{ parameters.cmakeBuildDir }}
${{ if eq(parameters.customInstallPath, true) }}:
cmakeArgs: -DCMAKE_INSTALL_PREFIX=${{ parameters.installDir }} ${{ parameters.extraBuildFlags }} ${{ parameters.cmakeSourceDir }}
${{ else }}:
cmakeArgs: ${{ parameters.extraBuildFlags }} ${{ parameters.cmakeSourceDir }}
cmakeArgs: >-
${{ iif(parameters.customInstallPath, join('', format('-DCMAKE_INSTALL_PREFIX={0}', parameters.installDir)), '') }}
${{ iif(eq(parameters.os, 'almalinux8'), '-DCMAKE_SHARED_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/lib64 -L/opt/rh/gcc-toolset-14/root/usr/lib/gcc/x86_64-redhat-linux/14/"', '') }}
${{ iif(eq(parameters.os, 'almalinux8'), '-DCMAKE_EXE_LINKER_FLAGS="-L$(Agent.BuildDirectory)/rocm/lib64 -L/opt/rh/gcc-toolset-14/root/usr/lib/gcc/x86_64-redhat-linux/14/"', '') }}
-DCMAKE_CXX_FLAGS="${{ parameters.extraCxxFlags }} ${{ iif(and(eq(parameters.os, 'almalinux8'), parameters.useAmdclang), '--gcc-toolchain=/opt/rh/gcc-toolset-14/root', '') }}"
${{ parameters.extraBuildFlags }}
${{ parameters.cmakeSourceDir }}
- ${{ if parameters.printDiskSpace }}:
- script: df -h
displayName: Disk space before build
# equivalent to running make $cmakeTargetDir from $cmakeBuildDir
# i.e., cd $cmakeBuildDir; make $cmakeTargetDir
- task: CMake@1
displayName: '${{parameters.componentName }} Build'
${{ if and( eq(parameters.os, 'almalinux8'), eq(parameters.consolidateBuildAndInstall , true)) }}:
displayName: '${{ parameters.componentName }} CMake Build and Install'
${{ else }}:
displayName: '${{ parameters.componentName }} CMake Build'
${{ if eq(parameters.os, 'almalinux8')}}:
env:
PATH: "/opt/rh/gcc-toolset-14/root/usr/bin:$(PATH)"
MANPATH: "/opt/rh/gcc-toolset-14/root/usr/share/man:$(MANPATH)"
INFOPATH: "/opt/rh/gcc-toolset-14/root/usr/share/info:$(INFOPATH)"
PCP_DIR: "/opt/rh/gcc-toolset-14/root"
LD_LIBRARY_PATH: "/opt/rh/gcc-toolset-14/root/usr/lib64:/opt/rh/gcc-toolset-14/root/usr/lib:$(LD_LIBRARY_PATH)"
PKG_CONFIG_PATH: "/opt/rh/gcc-toolset-14/root/usr/lib64/pkgconfig:$(PKG_CONFIG_PATH)"
inputs:
workingDirectory: ${{ parameters.cmakeBuildDir }}
${{ if eq(parameters.customBuildTarget, '') }}:
cmakeArgs: '--build ${{ parameters.cmakeTargetDir }} ${{ parameters.multithreadFlag }}'
${{ else }}:
cmakeArgs: '--build ${{ parameters.cmakeTargetDir }} --target ${{ parameters.customBuildTarget }} ${{ parameters.multithreadFlag }}'
retryCountOnTaskFailure: 10
${{ if eq(parameters.os, 'almalinux8') }}:
cmakeArgs: >-
--build ${{ parameters.cmakeTargetDir }}
${{ iif(and(eq(parameters.consolidateBuildAndInstall, true), ne(parameters.cmakeTarget, '')), format('--target {0}', parameters.cmakeTarget), '') }}
${{ iif(and(ne(parameters.customBuildTarget, ''), ne(parameters.consolidateBuildAndInstall, true)), format('--target {0}', parameters.customBuildTarget), '') }}
${{ parameters.multithreadFlag }}
${{ if ne(parameters.os, 'almalinux8') }}:
cmakeArgs: >-
--build ${{ parameters.cmakeTargetDir }}
${{ iif(ne(parameters.customBuildTarget, ''), format('--target {0}', parameters.customBuildTarget), '') }}
${{ parameters.multithreadFlag }}
- ${{ if parameters.printDiskSpace }}:
- script: df -h
displayName: Disk space after build
# equivalent to running make $cmakeTarget from $cmakeBuildDir
# e.g., make install
- ${{ if eq(parameters.installEnabled, true) }}:
- ${{ if and(eq(parameters.installEnabled, true), or(ne(parameters.os, 'almalinux8'), eq(parameters.consolidateBuildAndInstall, false))) }}:
- task: CMake@1
displayName: '${{parameters.componentName }} ${{ parameters.cmakeTarget }}'
inputs:

View File

@@ -4,9 +4,6 @@ parameters:
- name: checkoutRepo
type: string
default: 'self'
- name: sparseCheckout
type: boolean
default: false
- name: sparseCheckoutDir
type: string
default: ''
@@ -22,10 +19,10 @@ steps:
submodules: ${{ parameters.submoduleBehaviour }}
retryCountOnTaskFailure: 3
fetchFilter: blob:none
${{ if eq(parameters.sparseCheckout, true) }}:
${{ if ne(parameters.sparseCheckoutDir, '') }}:
sparseCheckoutDirectories: ${{ parameters.sparseCheckoutDir }}
path: sparse
- ${{ if eq(parameters.sparseCheckout, true) }}:
- ${{ if ne(parameters.sparseCheckoutDir, '') }}:
- task: Bash@3
displayName: Symlink sparse checkout
inputs:

View File

@@ -0,0 +1,42 @@
parameters:
- name: aptPackages
type: object
default: []
- name: registerROCmPackages
type: boolean
default: false
steps:
- ${{ if eq(parameters.registerROCmPackages, true) }}:
- task: Bash@3
displayName: 'Register AMDGPU & ROCm repos (apt)'
inputs:
targetType: inline
script: |
sudo mkdir --parents --mode=0755 /etc/apt/keyrings
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/$(REPO_RADEON_VERSION)/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION) jammy main" | sudo tee --append /etc/apt/sources.list.d/rocm.list
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt update
- task: Bash@3
displayName: 'sudo apt-get update'
inputs:
targetType: inline
script: |
echo "deb http://archive.ubuntu.com/ubuntu/ jammy main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-updates main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-backports main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
sudo DEBIAN_FRONTEND=noninteractive apt-get --yes update
- task: Bash@3
displayName: 'sudo apt-get fix'
inputs:
targetType: inline
script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-broken install
- ${{ if gt(length(parameters.aptPackages), 0) }}:
- task: Bash@3
displayName: 'sudo apt-get install ...'
inputs:
targetType: inline
script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-missing install ${{ join(' ', parameters.aptPackages) }}

View File

@@ -1,25 +1,44 @@
parameters:
- name: os
type: string
default: ubuntu2204
steps:
- task: Bash@3
displayName: Get aqlprofile package name
inputs:
targetType: inline
script: |
export packageName=$(curl -s https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb")
echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
${{ if eq(parameters.os, 'ubuntu2204') }}:
script: |
export packageName=$(curl -s https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb")
echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
${{ if eq(parameters.os, 'almalinux8') }}:
script: |
export packageName=$(curl -s https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/ | grep -oP "hsa-amd-aqlprofile-[^\"]+\.rpm" | head -n1)
echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
- task: Bash@3
displayName: 'Download aqlprofile'
inputs:
targetType: inline
script: wget -nv https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/$(packageName)
workingDirectory: '$(Pipeline.Workspace)'
${{ if eq(parameters.os, 'ubuntu2204') }}:
script: wget -nv https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/$(packageName)
${{ if eq(parameters.os, 'almalinux8') }}:
script: wget -nv https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/$(packageName)
- task: Bash@3
displayName: 'Extract aqlprofile'
inputs:
targetType: inline
script: |
mkdir hsa-amd-aqlprofile
dpkg-deb -R $(packageName) hsa-amd-aqlprofile
workingDirectory: '$(Pipeline.Workspace)'
${{ if eq(parameters.os, 'ubuntu2204') }}:
script: |
mkdir hsa-amd-aqlprofile
dpkg-deb -R $(packageName) hsa-amd-aqlprofile
${{ if eq(parameters.os, 'almalinux8') }}:
script: |
mkdir hsa-amd-aqlprofile
sudo dnf -y install rpm-build cpio
rpm2cpio $(packageName) | (cd hsa-amd-aqlprofile && cpio -idmv)
- task: Bash@3
displayName: 'Copy aqlprofile files'
inputs:

View File

@@ -1,35 +0,0 @@
steps:
- task: DownloadPipelineArtifact@2
displayName: Download Boost
inputs:
buildType: specific
project: ROCm-CI
definition: $(BOOST_DEPENDENCY_PIPELINE_ID)
targetPath: $(Pipeline.Workspace)/d
- task: ExtractFiles@1
displayName: Extract Boost
inputs:
archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
destinationFolder: $(Agent.BuildDirectory)/boost
cleanDestinationFolder: true
overwriteExistingFiles: true
- task: DeleteFiles@1
displayName: Cleanup Compressed Boost
inputs:
SourceFolder: $(Pipeline.Workspace)/d
Contents: '**/*.tar.gz'
RemoveDotFiles: true
- task: Bash@3
displayName: 'List Boost files'
inputs:
targetType: inline
script: ls -1R $(Agent.BuildDirectory)/boost
- task: Bash@3
displayName: 'Link Boost shared libraries'
inputs:
targetType: inline
script: |
echo $(Agent.BuildDirectory)/boost/lib | sudo tee /etc/ld.so.conf.d/boost.conf
sudo cat /etc/ld.so.conf.d/boost.conf
sudo ldconfig -v
ldconfig -p

View File

@@ -1,10 +1,23 @@
# replace cmake from apt install with newest version using snap install
steps:
- task: Bash@3
displayName: update cmake
displayName: Install CMake 3.31
inputs:
targetType: inline
script: |
sudo apt purge cmake -y
sudo snap install cmake --classic --channel=3.31/stable
hash -r
CMAKE_VERSION=3.31.0
CMAKE_ROOT="$(Pipeline.Workspace)/cmake"
echo "Downloading CMake $CMAKE_VERSION..."
curl -fsSL -o cmake.tar.gz https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-x86_64.tar.gz
echo "Extracting to $CMAKE_ROOT..."
sudo mkdir -p $CMAKE_ROOT
sudo tar --strip-components=1 -xz -C $CMAKE_ROOT -f cmake.tar.gz
echo "##vso[task.prependpath]$CMAKE_ROOT/bin"
- task: Bash@3
displayName: cmake --version
inputs:
targetType: inline
script: |
cmake --version

View File

@@ -0,0 +1,157 @@
parameters:
- name: aptPackages
type: object
default: []
- name: registerROCmPackages
type: boolean
default: false
# As par of installing gcc toolset and python,
# the environment will install this base set of dnf packages.
- name: basePackages
type: object
default:
- epel-release
- gcc-toolset-14
- gcc-toolset-14-libatomic-devel
- git
- jq
- numactl
- python3.11
- python3.11-pip
- vim-common
- wget
# Instead of defining multiple arrays of packages per component,
# we define a map of apt package names to dnf package names.
- name: aptToDnfMap
type: object
default:
bison: bison
ccache: ccache
cmake: cmake
cuda-toolkit-12-9: cuda-compiler-12-9 cuda-toolkit-12-9
libcudnn9-dev-cuda-12: libcudnn9-cuda-12
dejagnu: dejagnu
doxygen: doxygen
# note: doxygen-doc is not available in dnf
# libavcodec-dev, libavformat-dev, libavutil-dev come with ffmpeg-devel
ffmpeg: ffmpeg ffmpeg-devel
flex: flex
# note: g++ is installed by default with gcc-toolset-14
# note: gawk is already installed
# note: gcc-toolset-14-gfortran is installed by default with gcc-toolset-14
# note: git is in the base packages list
graphviz: graphviz
libbabeltrace-dev: libbabeltrace-devel
libbison-dev: bison-devel
libboost-program-options-dev: boost-devel
# note: libdrm-amdgpu1 is not available in dnf
libdrm-dev: libdrm-devel
libdrm-amdgpu-dev: libdrm-amdgpu-devel
libdw-dev: elfutils-devel
libelf-dev: elfutils-libelf-devel
libexpat-dev: expat-devel
libffi-dev: libffi-devel
libfftw3-dev: fftw-devel
libgmp-dev: gmp-devel
liblzma-dev: xz-devel
libmpfr-dev: mpfr-devel
libmsgpack-dev: msgpack-devel
libncurses5-dev: ncurses-devel
libnuma-dev: numactl-devel
libopenmpi-dev: openmpi-devel
libpci-dev: libpciaccess-devel
libssl-dev: openssl-devel
# note: libstdc++-devel is in the base packages list
libsystemd-dev: systemd-devel
libtool: libtool
# note: libudev-dev is part of systemd-devel
libva-amdgpu-dev: libva-amdgpu-devel
mesa-amdgpu-va-drivers: mesa-amdgpu-va-drivers
mesa-common-dev: mesa-libGL-devel
ncurses-dev: ncurses-devel
# note: llvm needs ninja-build version newer than what dnf provides
ocl-icd-libopencl1: ocl-icd
ocl-icd-opencl-dev: ocl-icd-devel
opencl-headers: opencl-headers
parallel: parallel
pkg-config: pkgconf-pkg-config
# note: python3 is the default python in AlmaLinux 8
python3-dev: python3.11-devel
# note: python3.11-pip is already installed when updating to python 3.11
# note: python3.11-setuptools is already installed when updating to python 3.11
texinfo: texinfo
zlib1g-dev: zlib-devel
steps:
- ${{ if eq(parameters.registerROCmPackages, true) }}:
- task: Bash@3
displayName: 'Register AMDGPU & ROCm repos (dnf)'
inputs:
targetType: inline
script: |
sudo rpm --import https://repo.radeon.com/rocm/rocm.gpg.key
echo '[amdgpu]' | sudo tee /etc/yum.repos.d/amdgpu.repo > /dev/null
echo "name=amdgpu" | sudo tee --append /etc/yum.repos.d/amdgpu.repo
echo "baseurl=https://repo.radeon.com/amdgpu/$(REPO_RADEON_VERSION)/rhel/8.10/main/x86_64/" | sudo tee --append /etc/yum.repos.d/amdgpu.repo
echo "enabled=1" | sudo tee --append /etc/yum.repos.d/amdgpu.repo
echo "gpgcheck=1" | sudo tee --append /etc/yum.repos.d/amdgpu.repo
echo "gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key" | sudo tee --append /etc/yum.repos.d/amdgpu.repo
echo '[rocm]' | sudo tee /etc/yum.repos.d/rocm.repo > /dev/null
echo "name=ROCm$(REPO_RADEON_VERSION)" | sudo tee --append /etc/yum.repos.d/rocm.repo
echo "baseurl=https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/" | sudo tee --append /etc/yum.repos.d/rocm.repo
echo "enabled=1" | sudo tee --append /etc/yum.repos.d/rocm.repo
echo "gpgcheck=1" | sudo tee --append /etc/yum.repos.d/rocm.repo
echo "gpgkey=https://repo.radeon.com/rocm/rocm.gpg.key" | sudo tee --append /etc/yum.repos.d/rocm.repo
sudo dnf clean all
sudo dnf makecache
- task: Bash@3
displayName: 'Install base dnf packages'
inputs:
targetType: inline
script: |
sudo dnf config-manager --set-enabled powertools
# rpm fusion free repo for some dependencies
sudo dnf -y install https://download1.rpmfusion.org/free/el/rpmfusion-free-release-8.noarch.rpm
sudo dnf -y install ${{ join(' ', parameters.basePackages) }}
- task: Bash@3
displayName: 'Check gcc environment'
inputs:
targetType: inline
script: |
echo "=== Versions and sanity checks ==="
gcc --version
g++ --version
gcc -print-file-name=libstdc++.so
g++ -print-file-name=libstdc++.so
- task: Bash@3
displayName: 'Set python 3.11 as default'
inputs:
targetType: inline
script: |
sudo dnf -y module disable python36
sudo rm -f /usr/local/bin/python3.12 /usr/local/bin/python3.13 /usr/local/bin/python3.14
sudo alternatives --set python /usr/bin/python3.11
sudo alternatives --set python3 /usr/bin/python3.11
python3 --version
python3 -m pip install --upgrade pip setuptools wheel
- ${{ each pkg in parameters.aptPackages }}:
# note: llvm needs ninja-build version newer than what dnf provides
- ${{ if eq(pkg, 'ninja-build') }}:
- task: Bash@3
displayName: 'Install ninja 1.11.1'
inputs:
targetType: inline
script: |
curl -LO https://github.com/ninja-build/ninja/releases/download/v1.11.1/ninja-linux.zip
sudo dnf -y install unzip
unzip ninja-linux.zip
sudo mv ninja /usr/local/bin/ninja
sudo chmod +x /usr/local/bin/ninja
echo "##vso[task.prependpath]/usr/local/bin"
- ${{ if ne(parameters.aptToDnfMap[pkg], '') }}:
- task: Bash@3
displayName: 'dnf install ${{ parameters.aptToDnfMap[pkg] }}'
inputs:
targetType: inline
script: |
sudo dnf -y install ${{ parameters.aptToDnfMap[pkg] }}

View File

@@ -9,56 +9,24 @@ parameters:
- name: registerROCmPackages
type: boolean
default: false
- name: packageManager
type: string
default: apt
steps:
- ${{ if eq(parameters.registerROCmPackages, true) }}:
- task: Bash@3
displayName: 'Register AMDGPU & ROCm repos'
inputs:
targetType: inline
script: |
sudo mkdir --parents --mode=0755 /etc/apt/keyrings
wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/$(REPO_RADEON_VERSION)/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION) jammy main" | sudo tee --append /etc/apt/sources.list.d/rocm.list
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt update
# firefox takes time to upgrade and is not needed for CI workloads, hold version
- task: Bash@3
continueOnError: true
displayName: 'sudo apt-mark hold firefox'
inputs:
targetType: inline
script: sudo apt-mark hold firefox
- task: Bash@3
displayName: 'sudo apt-get update'
inputs:
targetType: inline
script: |
echo "deb http://archive.ubuntu.com/ubuntu/ jammy main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-updates main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-backports main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
echo "deb http://archive.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
sudo DEBIAN_FRONTEND=noninteractive apt-get --yes update
- task: Bash@3
displayName: 'sudo apt-get upgrade'
inputs:
targetType: inline
script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes upgrade
- task: Bash@3
displayName: 'sudo apt-get fix'
inputs:
targetType: inline
script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-broken install
- ${{ if gt(length(parameters.aptPackages), 0) }}:
- task: Bash@3
displayName: 'sudo apt-get install ...'
inputs:
targetType: inline
script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-missing install ${{ join(' ', parameters.aptPackages) }}
- ${{ if eq(parameters.packageManager, 'apt') }}:
- template: dependencies-apt.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
registerROCmPackages: ${{ parameters.registerROCmPackages }}
- ${{ if eq(parameters.packageManager, 'dnf') }}:
- template: dependencies-dnf.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
registerROCmPackages: ${{ parameters.registerROCmPackages }}
- ${{ if gt(length(parameters.pipModules), 0) }}:
- task: Bash@3
displayName: 'pip install ...'
inputs:
targetType: inline
script: pip install -v --force-reinstall ${{ join(' ', parameters.pipModules) }}
script: python3 -m pip install -v --force-reinstall ${{ join(' ', parameters.pipModules) }}

View File

@@ -13,6 +13,9 @@ parameters:
- name: dependencyList
type: object
default: []
- name: os
type: string
default: 'ubuntu2204'
- name: gpuTarget
type: string
default: ''
@@ -36,6 +39,10 @@ parameters:
- name: aggregatePipeline
type: boolean
default: false
# monorepo related parameters
- name: downstreamAggregateNames
type: string
default: ''
- name: componentVarList
type: object
@@ -103,7 +110,7 @@ parameters:
hipCUB:
pipelineId: $(HIPCUB_PIPELINE_ID)
stagingBranch: develop
mainlineBranch: mainline
mainlineBranch: develop
hasGpuTarget: true
hipFFT:
pipelineId: $(HIPFFT_PIPELINE_ID)
@@ -123,7 +130,7 @@ parameters:
hipRAND:
pipelineId: $(HIPRAND_PIPELINE_ID)
stagingBranch: develop
mainlineBranch: mainline
mainlineBranch: develop
hasGpuTarget: true
hipSOLVER:
pipelineId: $(HIPSOLVER_PIPELINE_ID)
@@ -258,7 +265,7 @@ parameters:
rocPRIM:
pipelineId: $(ROCPRIM_PIPELINE_ID)
stagingBranch: develop
mainlineBranch: mainline
mainlineBranch: develop
hasGpuTarget: true
rocprofiler:
pipelineId: $(ROCPROFILER_PIPELINE_ID)
@@ -298,7 +305,7 @@ parameters:
rocRAND:
pipelineId: $(ROCRAND_PIPELINE_ID)
stagingBranch: develop
mainlineBranch: mainline
mainlineBranch: develop
hasGpuTarget: true
rocr_debug_agent:
pipelineId: $(ROCR_DEBUG_AGENT_PIPELINE_ID)
@@ -323,7 +330,7 @@ parameters:
rocThrust:
pipelineId: $(ROCTHRUST_PIPELINE_ID)
stagingBranch: develop
mainlineBranch: mainline
mainlineBranch: develop
hasGpuTarget: true
roctracer:
pipelineId: $(ROCTRACER_PIPELINE_ID)
@@ -361,7 +368,7 @@ steps:
pipelineId: ${{ parameters.componentVarList[split(dependency, ':')[0]].pipelineId }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.componentVarList[split(dependency, ':')[0]].hasGpuTarget }}:
fileFilter: "${{ split(dependency, ':')[1] }}*${{ parameters.gpuTarget }}"
fileFilter: "${{ split(dependency, ':')[1] }}*_${{ parameters.os }}_${{ parameters.gpuTarget }}"
# dependencySource = staging
${{ if eq(parameters.dependencySource, 'staging')}}:
branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
@@ -384,6 +391,14 @@ steps:
${{ else }}:
branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
# no colon (:) found in this item in the list
- ${{ elseif containsValue(split(parameters.downstreamAggregateNames, '+'), dependency) }}:
- template: local-artifact-download.yml
parameters:
${{ if parameters.componentVarList[dependency].hasGpuTarget }}:
gpuTarget: ${{ parameters.gpuTarget }}
preTargetFilter: ${{ dependency }}
os: ${{ parameters.os }}
buildType: current
- ${{ else }}:
- template: artifact-download.yml
parameters:
@@ -391,7 +406,9 @@ steps:
pipelineId: ${{ parameters.componentVarList[dependency].pipelineId }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.componentVarList[dependency].hasGpuTarget }}:
fileFilter: ${{ parameters.gpuTarget }}
fileFilter: ${{ parameters.os }}_${{ parameters.gpuTarget }}
${{ else }}:
fileFilter: ${{ parameters.os }}
# dependencySource = staging
${{ if eq(parameters.dependencySource, 'staging')}}:
branchName: ${{ parameters.componentVarList[dependency].stagingBranch }}
@@ -419,14 +436,16 @@ steps:
displayName: Symlink from rocm/llvm to rocm/lib/llvm
inputs:
targetType: inline
script: sudo ln -s $(Agent.BuildDirectory)/rocm/llvm $(Agent.BuildDirectory)/rocm/lib/llvm
script: |
sudo mkdir -p $(Agent.BuildDirectory)/rocm/lib
sudo ln -sr $(Agent.BuildDirectory)/rocm/llvm $(Agent.BuildDirectory)/rocm/lib/llvm
- task: Bash@3
displayName: Symlink executables from rocm/llvm/bin to rocm/bin
inputs:
targetType: inline
script: |
for file in amdclang amdclang++ amdclang-cl amdclang-cpp amdflang amdlld aompcc mygpu mycpu offload-arch; do
sudo ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/$file $(Agent.BuildDirectory)/rocm/bin/$file
sudo ln -sr $(Agent.BuildDirectory)/rocm/llvm/bin/$file $(Agent.BuildDirectory)/rocm/bin/$file
done
# dlopen calls within a ctest or pytest sequence runs into issues when shared library symlink convention is not followed
# the convention is as follows:
@@ -471,8 +490,10 @@ steps:
targetType: inline
# OS ignores if the ROCm lib folder shows up more than once
script: |
echo $(Agent.BuildDirectory)/rocm/lib | sudo tee /etc/ld.so.conf.d/rocm-ci.conf
echo $(Agent.BuildDirectory)/rocm/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
echo $(Agent.BuildDirectory)/rocm/llvm/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
echo $(Agent.BuildDirectory)/rocm/lib64 | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
echo $(Agent.BuildDirectory)/rocm/llvm/lib64 | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
sudo cat /etc/ld.so.conf.d/rocm-ci.conf
sudo ldconfig -v
ldconfig -p

View File

@@ -0,0 +1,53 @@
parameters:
- name: os
type: string
default: 'ubuntu2204'
- name: dependencyList
type: object
- name: pipelineIdList
type: object
default:
boost: 250
grpc: 72
gtest: 73
half560: 68
lapack: 69
steps:
- ${{ each dependency in parameters.dependencyList }}:
- task: DownloadPipelineArtifact@2
displayName: Download ${{ dependency }}
inputs:
project: ROCm-CI
buildType: specific
targetPath: $(Pipeline.Workspace)/d
definition: ${{ parameters.pipelineIdList[dependency] }}
itemPattern: '**/*${{ parameters.os }}*'
- task: ExtractFiles@1
displayName: Extract ${{ dependency }}
inputs:
archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
destinationFolder: $(Agent.BuildDirectory)/vendor
cleanDestinationFolder: true
overwriteExistingFiles: true
- task: DeleteFiles@1
displayName: Clean up ${{ dependency }}
inputs:
SourceFolder: $(Pipeline.Workspace)/d
Contents: '**/*.tar.gz'
RemoveDotFiles: true
- task: Bash@3
displayName: List vendored files
inputs:
targetType: inline
script: ls -la1R $(Agent.BuildDirectory)/vendor
- task: Bash@3
displayName: Link vendored shared libraries
inputs:
targetType: inline
script: |
echo $(Agent.BuildDirectory)/vendor/lib | sudo tee -a /etc/ld.so.conf.d/vendor.conf
echo $(Agent.BuildDirectory)/vendor/lib64 | sudo tee -a /etc/ld.so.conf.d/vendor.conf
sudo cat /etc/ld.so.conf.d/vendor.conf
sudo ldconfig -v
ldconfig -p

View File

@@ -2,6 +2,9 @@
# It can be overridden to download any artifact from any pipeline, given the appropriate build/pipeline IDs
parameters:
- name: os
type: string
default: 'ubuntu2204'
- name: gpuTarget
type: string
default: ''
@@ -29,25 +32,27 @@ parameters:
steps:
- task: DownloadPipelineArtifact@2
displayName: 'Download Pipeline Build'
displayName: Download ${{ parameters.preTargetFilter}}*${{ parameters.os }}_${{ parameters.gpuTarget}}*${{ parameters.postTargetFilter}}
inputs:
${{ if eq(parameters.buildType, 'specific') }}:
buildType: specific
buildVersionToDownload: specific
project: ROCm-CI
definition: ${{ parameters.definitionId }}
buildId: ${{ parameters.buildId }}
itemPattern: '**/*${{ parameters.preTargetFilter }}*${{ parameters.gpuTarget }}*${{ parameters.postTargetFilter }}*'
${{ if ne(parameters.definitionId, 0) }}:
definition: ${{ parameters.definitionId }}
${{ if ne(parameters.buildId, 0) }}:
buildId: ${{ parameters.buildId }}
itemPattern: '**/*${{ parameters.preTargetFilter }}*${{ parameters.os }}_${{ parameters.gpuTarget }}*${{ parameters.postTargetFilter }}*'
targetPath: $(Pipeline.Workspace)/d
- task: ExtractFiles@1
displayName: 'Extract Pipeline Build'
displayName: Extract ${{ parameters.preTargetFilter}}*${{ parameters.os }}_${{ parameters.gpuTarget}}*${{ parameters.postTargetFilter}}
inputs:
archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
destinationFolder: '$(Agent.BuildDirectory)/rocm'
cleanDestinationFolder: false
overwriteExistingFiles: true
- task: DeleteFiles@1
displayName: 'Clean up Compressed Pipeline Build'
displayName: Clean up ${{ parameters.preTargetFilter}}*${{ parameters.os }}_${{ parameters.gpuTarget}}*${{ parameters.postTargetFilter}}
inputs:
SourceFolder: '$(Pipeline.Workspace)/d'
Contents: '/**/*.tar.xz'

View File

@@ -1,10 +1,19 @@
parameters:
- name: artifactName
- name: componentName
type: string
default: 'drop'
default: $(Build.DefinitionName)
- name: sparseCheckoutDir
type: string
default: ''
- name: gpuTarget
type: string
default: ''
- name: artifactName
type: string
default: drop
- name: os
type: string
default: 'ubuntu2204'
steps:
- task: Bash@3
@@ -25,8 +34,9 @@ steps:
IS_TAG_BUILD=$(jq 'has("release_repo")' resources.repositories)
IS_AOMP_BUILD=$(jq 'has("aomp_repo")' resources.repositories)
IS_MATHLIBS_BUILD=$(jq 'has("libraries_repo")' resources.repositories)
if [ "$IS_TAG_BUILD" = "true" ] || [ "$IS_AOMP_BUILD" = "true" ]; then
if [ "$IS_TAG_BUILD" = "true" ] || [ "$IS_AOMP_BUILD" = "true" ] || [ "$IS_MATHLIBS_BUILD" = "true" ]; then
exclude_keys=("pipelines_repo" "self") # Triggered by a file under ROCm/ROCm
else
exclude_keys=("pipelines_repo") # Triggered by a file under a component repo
@@ -45,6 +55,7 @@ steps:
buildId: "$(Build.BuildId)",
repoId: $entry.value.id,
repoName: $entry.value.name,
repoSparse: "${{ parameters.sparseCheckoutDir }}",
repoRef: $entry.value.ref,
repoUrl: $entry.value.url,
repoVersion: $entry.value.version
@@ -55,7 +66,7 @@ steps:
)
' resources.repositories)
manifest_json=$(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.json
manifest_json=$(Build.ArtifactStagingDirectory)/manifest_${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.json
dependencies=()
for manifest_file in $(Pipeline.Workspace)/d/**/manifest_*.json; do
@@ -81,6 +92,7 @@ steps:
"<tr><td>" + .buildNumber + "</td>" +
"<td><a href=\"https://dev.azure.com/ROCm-CI/ROCm-CI/_build/results?buildId=" + .buildId + "\">" + .buildId + "</a></td>" +
"<td><a href=\"" + .repoUrl + "\">" + .repoName + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/tree/" + .repoRef + "/" + .repoSparse + "\">" + .repoSparse + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/tree/" + .repoRef + "\">" + .repoRef + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/commit/" + .repoVersion + "\">" + .repoVersion + "</a></td></tr>"
')
@@ -93,6 +105,7 @@ steps:
"<tr><td>" + .buildNumber + "</td>" +
"<td><a href=\"https://dev.azure.com/ROCm-CI/ROCm-CI/_build/results?buildId=" + .buildId + "\">" + .buildId + "</a></td>" +
"<td><a href=\"" + .repoUrl + "\">" + .repoName + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/tree/" + .repoRef + "/" + .repoSparse + "\">" + .repoSparse + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/tree/" + .repoRef + "\">" + .repoRef + "</a></td>" +
"<td><a href=\"" + .repoUrl + "/commit/" + .repoVersion + "\">" + .repoVersion + "</a></td></tr>"
')
@@ -107,7 +120,7 @@ steps:
inputs:
targetType: inline
script: |
manifest_html=$(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html
manifest_html=$(Build.ArtifactStagingDirectory)/manifest_${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html
cat <<EOF > $manifest_html
<html>
<h1>Manifest</h1>
@@ -117,6 +130,7 @@ steps:
<th>Build Number</th>
<th>Build ID</th>
<th>Repo Name</th>
<th>Repo Sparse</th>
<th>Repo Ref</th>
<th>Repo Version</th>
</tr>
@@ -128,6 +142,7 @@ steps:
<th>Build Number</th>
<th>Build ID</th>
<th>Repo Name</th>
<th>Repo Sparse</th>
<th>Repo Ref</th>
<th>Repo Version</th>
</tr>
@@ -148,7 +163,7 @@ steps:
continueOnError: true
inputs:
tabName: Manifest
reportDir: $(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html
reportDir: $(Build.ArtifactStagingDirectory)/manifest_${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html
- task: Bash@3
displayName: Save manifest artifact file name
condition: always()
@@ -157,5 +172,5 @@ steps:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: |
echo "manifest_$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html" >> pipelineArtifacts.txt
echo "manifest_$(Build.DefinitionName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.json" >> pipelineArtifacts.txt
echo "manifest_${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.html" >> pipelineArtifacts.txt
echo "manifest_${{ parameters.componentName }}_$(Build.BuildId)_$(Build.BuildNumber)_${{ parameters.os }}_${{ parameters.gpuTarget }}_${{ parameters.artifactName }}.json" >> pipelineArtifacts.txt

View File

@@ -25,7 +25,7 @@ steps:
echo "Fetching CK build ID for commit $CK_COMMIT"
CK_CHECKS_URL="$GH_API/composable_kernel/commits/${CK_COMMIT}/check-runs"
CK_BUILD_ID=$(curl -s $CK_CHECKS_URL | \
jq '.check_runs[] | select(.name == "composable_kernel" and .app.slug == "azure-pipelines") | .details_url' | \
jq '.check_runs[] | select(.name == "composable_kernel" and .app.slug == "azure-pipelines" and .conclusion == "success") | .details_url' | \
tr -d '"' | grep -oP 'buildId=\K\d+')
# If none found, use latest successful CK build instead

View File

@@ -3,10 +3,27 @@
# also display installed components and packages
steps:
- task: Bash@3
displayName: List apt packages
displayName: OS Version
inputs:
targetType: inline
script: apt list --installed
script: cat /etc/os-release
- task: Bash@3
displayName: List installed packages (apt, dnf, or yum)
inputs:
targetType: inline
script: |
if command -v apt >/dev/null 2>&1; then
echo "Listing installed packages with apt:"
apt list --installed
elif command -v dnf >/dev/null 2>&1; then
echo "Listing installed packages with dnf:"
dnf list installed
elif command -v yum >/dev/null 2>&1; then
echo "Listing installed packages with yum:"
yum list installed
else
echo "No supported package manager found (apt, dnf, yum)."
fi
- task: Bash@3
displayName: Print Python version
inputs:
@@ -16,7 +33,7 @@ steps:
displayName: List Python packages
inputs:
targetType: inline
script: pip list -v
script: python3 -m pip list -v
# The "Azure Pipelines" agents install CMake in multiple ways, including a standalone install into /usr/local/bin:
# https://github.com/actions/runner-images/blob/6d939a3ab352a54a021dd67b071577287b6f14a5/images/ubuntu/scripts/build/install-cmake.sh#L27
# This standalone CMake does not have a fixed version, and is not the same version as the one installed by the package manager

View File

@@ -2,21 +2,27 @@ parameters:
- name: componentName
type: string
default: ''
- name: os
type: string
default: ubuntu2204
- name: testDir
type: string
default: 'build'
default: build
- name: testExecutable
type: string
default: 'ctest'
default: ctest
- name: testParameters
type: string
default: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml'
default: --output-on-failure --force-new-ctest-process --output-junit test_output.xml
- name: extraTestParameters
type: string
default: ''
- name: testOutputFile
type: string
default: test_output.xml
- name: testOutputFormat
type: string
default: 'JUnit'
default: JUnit
values:
- JUnit
- NUnit
@@ -26,26 +32,28 @@ parameters:
- name: testPublishResults
type: boolean
default: true
- name: allowPartiallySucceededBuilds
- name: allowComponentTestFailure
type: object
default:
- amdsmi
- aomp
- HIPIFY
- MIVisionX
- rocm_smi_lib
- rocprofiler-sdk
- roctracer
# the following do not use this template but allow test failures, included for completeness
- aomp
- ROCgdb
steps:
# run test, continue on failure to publish results
# and to publish build artifacts
- task: Bash@3
displayName: '${{ parameters.componentName }} Test'
continueOnError: ${{ containsValue(parameters.allowPartiallySucceededBuilds, parameters.componentName) }}
continueOnError: ${{ containsValue(parameters.allowComponentTestFailure, parameters.componentName) }}
inputs:
targetType: inline
script: ${{ parameters.testExecutable }} ${{ parameters.testParameters }}
script: |
${{ iif(eq(parameters.os, 'almalinux8'), 'source /opt/rh/gcc-toolset-14/enable', '') }}
${{ parameters.testExecutable }} ${{ parameters.testParameters }} ${{ parameters.extraTestParameters }}
workingDirectory: ${{ parameters.testDir }}
- ${{ if parameters.testPublishResults }}:
- task: PublishTestResults@2

View File

@@ -3,6 +3,8 @@
variables:
- name: RESOURCES_REPOSITORIES
value: $[ convertToJson(resources.repositories) ]
- name: CCACHE_DIR
value: $(Pipeline.Workspace)/ccache
- name: CI_ROOT_PATH
value: /.azuredevops
- name: CI_COMPONENT_PATH
@@ -30,320 +32,136 @@ variables:
- name: GFX90A_TEST_POOL
value: gfx90a_test_pool
- name: LATEST_RELEASE_VERSION
value: 6.4.0
value: 6.4.1
- name: REPO_RADEON_VERSION
value: 6.4
value: 6.4.1
- name: NEXT_RELEASE_VERSION
value: 6.5.0
value: 7.0.0
- name: LATEST_RELEASE_TAG
value: rocm-6.4.0
value: rocm-6.4.1
- name: DOCKER_SKIP_GFX
value: gfx90a
- name: AMDMIGRAPHX_GFX942_TEST_PIPELINE_ID
value: 197
- name: AMDMIGRAPHX_PIPELINE_ID
value: 113
- name: AMDMIGRAPHX_TAGGED_PIPELINE_ID
value: 60
- name: AMDSMI_PIPELINE_ID
value: 99
- name: AMDSMI_TAGGED_PIPELINE_ID
value: 33
- name: AOMP_EXTRAS_PIPELINE_ID
value: 111
- name: AOMP_EXTRAS_TAGGED_PIPELINE_ID
value: 75
- name: AOMP_PIPELINE_ID
value: 115
- name: AOMP_TAGGED_PIPELINE_ID
value: 76
- name: CCACHE_DIR
value: $(Pipeline.Workspace)/ccache
- name: CLR_PIPELINE_ID
value: 145
- name: CLR_TAGGED_PIPELINE_ID
value: 71
- name: COMPOSABLE_KERNEL_GFX942_TEST_PIPELINE_ID
value: 179
- name: COMPOSABLE_KERNEL_PIPELINE_ID
value: 86
- name: COMPOSABLE_KERNEL_TAGGED_PIPELINE_ID
value: 38
- name: FLANG_LEGACY_PIPELINE_ID
value: 77
- name: FLANG_LEGACY_TAGGED_PIPELINE_ID
value: 77
- name: HALF_PIPELINE_ID
value: 101
- name: HALF_TAGGED_PIPELINE_ID
value: 11
- name: HALF560_PIPELINE_ID
value: 68
- name: HALF560_BUILD_ID
value: 621
- name: HIP_PIPELINE_ID
value: 93
- name: HIP_TAGGED_PIPELINE_ID
value: 31
- name: HIP_TESTS_PIPELINE_ID
value: 233
- name: HIP_TESTS_TAGGED_PIPELINE_ID
value: 220
- name: HIPBLAS_COMMON_PIPELINE_ID
value: 223
- name: HIPBLAS_COMMON_TAGGED_PIPELINE_ID
value: 224
- name: HIPBLAS_GFX942_TEST_PIPELINE_ID
value: 202
- name: HIPBLAS_PIPELINE_ID
value: 87
- name: HIPBLAS_TAGGED_PIPELINE_ID
value: 44
- name: HIPBLASLT_GFX942_TEST_PIPELINE_ID
value: 187
- name: HIPBLASLT_PIPELINE_ID
value: 112
- name: HIPBLASLT_TAGGED_PIPELINE_ID
value: 45
- name: HIPCUB_GFX942_TEST_PIPELINE_ID
value: 186
- name: HIPCUB_PIPELINE_ID
value: 97
- name: HIPCUB_TAGGED_PIPELINE_ID
value: 46
- name: HIPFFT_GFX942_TEST_PIPELINE_ID
value: 198
value: 277
- name: HIPFFT_PIPELINE_ID
value: 121
- name: HIPFFT_TAGGED_PIPELINE_ID
value: 12
- name: HIPFORT_PIPELINE_ID
value: 102
- name: HIPFORT_TAGGED_PIPELINE_ID
value: 34
- name: HIPIFY_PIPELINE_ID
value: 92
- name: HIPIFY_TAGGED_PIPELINE_ID
value: 13
- name: HIPRAND_GFX942_TEST_PIPELINE_ID
value: 188
- name: HIPRAND_PIPELINE_ID
value: 90
- name: HIPRAND_TAGGED_PIPELINE_ID
value: 42
- name: HIPSOLVER_GFX942_TEST_PIPELINE_ID
value: 201
value: 275
- name: HIPSOLVER_PIPELINE_ID
value: 84
- name: HIPSOLVER_TAGGED_PIPELINE_ID
value: 52
- name: HIPSPARSE_GFX942_TEST_PIPELINE_ID
value: 195
- name: HIPSPARSE_PIPELINE_ID
value: 83
- name: HIPSPARSE_TAGGED_PIPELINE_ID
value: 14
- name: HIPSPARSELT_GFX942_TEST_PIPELINE_ID
value: 200
- name: HIPSPARSELT_PIPELINE_ID
value: 104
- name: HIPSPARSELT_TAGGED_PIPELINE_ID
value: 53
- name: HIPTENSOR_GFX942_TEST_PIPELINE_ID
value: 192
- name: HIPTENSOR_PIPELINE_ID
value: 105
- name: HIPTENSOR_TAGGED_PIPELINE_ID
value: 56
- name: LLVM_PROJECT_PIPELINE_ID
value: 2
- name: LLVM_PROJECT_TAGGED_PIPELINE_ID
value: 8
- name: MIOPEN_PIPELINE_ID
value: 108
- name: MIOPEN_TAGGED_PIPELINE_ID
value: 58
- name: MIVISIONX_PIPELINE_ID
value: 80
- name: MIVISIONX_TAGGED_PIPELINE_ID
value: 18
- name: OMNIPERF_PIPELINE_ID
value: 241
- name: OMNIPERF_TAGGED_PIPELINE_ID
value: 242
- name: OMNITRACE_PIPELINE_ID
value: 253
- name: OMNITRACE_TAGGED_PIPELINE_ID
value: 252
- name: RCCL_GFX942_TEST_PIPELINE_ID
value: 184
- name: RCCL_PIPELINE_ID
value: 107
- name: RCCL_TAGGED_PIPELINE_ID
value: 15
- name: RDC_PIPELINE_ID
value: 100
- name: RDC_TAGGED_PIPELINE_ID
value: 59
- name: ROCAL_PIPELINE_ID
value: 151
- name: ROCALUTION_GFX942_TEST_PIPELINE_ID
value: 196
- name: ROCALUTION_PIPELINE_ID
value: 89
- name: ROCALUTION_TAGGED_PIPELINE_ID
value: 16
- name: ROCBLAS_GFX942_TEST_PIPELINE_ID
value: 185
- name: ROCBLAS_PIPELINE_ID
value: 85
- name: ROCBLAS_TAGGED_PIPELINE_ID
value: 32
- name: ROCDBGAPI_PIPELINE_ID
value: 135
- name: ROCDBGAPI_TAGGED_PIPELINE_ID
value: 17
- name: ROCDECODE_PIPELINE_ID
value: 79
- name: ROCDECODE_TAGGED_PIPELINE_ID
value: 21
- name: ROCFFT_GFX942_TEST_PIPELINE_ID
value: 189
- name: ROCFFT_PIPELINE_ID
value: 120
- name: ROCFFT_TAGGED_PIPELINE_ID
value: 19
- name: ROCGDB_PIPELINE_ID
value: 134
- name: ROCGDB_TAGGED_PIPELINE_ID
value: 50
- name: ROCJPEG_PIPELINE_ID
value: 262
- name: ROCJPEG_TAGGED_PIPELINE_ID
value: 263
- name: ROCM_BANDWIDTH_TEST_PIPELINE_ID
value: 88
- name: ROCM_BANDWIDTH_TEST_TAGGED_PIPELINE_ID
value: 23
- name: ROCM_CMAKE_PIPELINE_ID
value: 6
- name: ROCM_CMAKE_TAGGED_PIPELINE_ID
value: 7
- name: ROCM_CORE_PIPELINE_ID
value: 103
- name: ROCM_CORE_TAGGED_PIPELINE_ID
value: 22
- name: ROCM_EXAMPLES_GFX942_TEST_PIPELINE_ID
value: 204
- name: ROCM_EXAMPLES_PIPELINE_ID
value: 216
- name: ROCM_EXAMPLES_TAGGED_PIPELINE_ID
value: 245
- name: ROCM_SMI_LIB_PIPELINE_ID
value: 96
- name: ROCM_SMI_LIB_TAGGED_PIPELINE_ID
value: 47
- name: ROCMINFO_PIPELINE_ID
value: 91
- name: ROCMINFO_TAGGED_PIPELINE_ID
value: 27
- name: ROCMLIR_PIPELINE_ID
value: 229
- name: ROCMLIR_TAGGED_PIPELINE_ID
value: 62
- name: ROCMVALIDATIONSUITE_PIPELINE_ID
value: 106
- name: ROCMVALIDATIONSUITE_TAGGED_PIPELINE_ID
value: 43
- name: ROCPRIM_GFX942_TEST_PIPELINE_ID
value: 180
- name: ROCPRIM_PIPELINE_ID
value: 82
- name: ROCPRIM_TAGGED_PIPELINE_ID
value: 20
- name: ROCPROFILER_GFX942_TEST_PIPELINE_ID
value: 190
value: 273
- name: ROCPROFILER_COMPUTE_PIPELINE_ID
value: 257
- name: ROCPROFILER_COMPUTE_TAGGED_PIPELINE_ID
value: 258
- name: ROCPROFILER_REGISTER_PIPELINE_ID
value: 1
- name: ROCPROFILER_REGISTER_TAGGED_PIPELINE_ID
value: 25
- name: ROCPROFILER_SDK_PIPELINE_ID
value: 246
- name: ROCPROFILER_SDK_TAGGED_PIPELINE_ID
value: 234
- name: ROCPROFILER_SYSTEMS_PIPELINE_ID
value: 255
- name: ROCPROFILER_SYSTEMS_TAGGED_PIPELINE_ID
value: 254
- name: ROCPROFILER_PIPELINE_ID
value: 143
- name: ROCPROFILER_TAGGED_PIPELINE_ID
value: 28
- name: ROCPYDECODE_PIPELINE_ID
value: 239
- name: ROCPYDECODE_TAGGED_PIPELINE_ID
value: 232
- name: ROCR_DEBUG_AGENT_PIPELINE_ID
value: 136
- name: ROCR_DEBUG_AGENT_TAGGED_PIPELINE_ID
value: 29
- name: ROCR_RUNTIME_PIPELINE_ID
value: 10
- name: ROCR_RUNTIME_TAGGED_PIPELINE_ID
value: 24
- name: ROCRAND_GFX942_TEST_PIPELINE_ID
value: 183
- name: ROCRAND_PIPELINE_ID
value: 95
- name: ROCRAND_TAGGED_PIPELINE_ID
value: 41
- name: ROCSOLVER_GFX942_TEST_PIPELINE_ID
value: 199
value: 274
- name: ROCSOLVER_PIPELINE_ID
value: 81
- name: ROCSOLVER_TAGGED_PIPELINE_ID
value: 55
- name: ROCSPARSE_GFX942_TEST_PIPELINE_ID
value: 191
- name: ROCSPARSE_PIPELINE_ID
value: 98
- name: ROCSPARSE_TAGGED_PIPELINE_ID
value: 67
- name: ROCT_THUNK_INTERFACE_PIPELINE_ID
value: 3
- name: ROCT_THUNK_INTERFACE_TAGGED_PIPELINE_ID
value: 9
- name: ROCTHRUST_GFX942_TEST_PIPELINE_ID
value: 194
- name: ROCTHRUST_PIPELINE_ID
value: 94
- name: ROCTHRUST_TAGGED_PIPELINE_ID
value: 26
- name: ROCTRACER_GFX942_TEST_PIPELINE_ID
value: 181
value: 276
- name: ROCTRACER_PIPELINE_ID
value: 141
- name: ROCTRACER_TAGGED_PIPELINE_ID
value: 30
- name: ROCWMMA_GFX942_TEST_PIPELINE_ID
value: 193
- name: ROCWMMA_PIPELINE_ID
value: 109
- name: ROCWMMA_TAGGED_PIPELINE_ID
value: 57
- name: RPP_GFX942_TEST_PIPELINE_ID
value: 182
- name: RPP_PIPELINE_ID
value: 78
- name: RPP_TAGGED_PIPELINE_ID
value: 39
- name: TRANSFERBENCH_PIPELINE_ID
value: 265
- name: TRANSFERBENCH_TAGGED_PIPELINE_ID
value: 266
- name: BOOST_DEPENDENCY_PIPELINE_ID
value: 250

View File

@@ -1,3 +1,20 @@
SGLang
Datacenter
GST
IET
LTO
MX
Microscaling
NANOO
ROCprof
affinitization
amdclang
benefitting
demangled
inlined
microscaling
roofline
torchtitan
AAC
ABI
ACE
@@ -272,6 +289,7 @@ NBIO
NBIOs
NCCL
NCF
NFS
NIC
NICs
NLI
@@ -500,6 +518,7 @@ ZenDNN
accuracies
activations
addr
ade
ai
alloc
allocatable
@@ -515,6 +534,7 @@ avx
awk
backend
backends
bb
benchmarked
benchmarking
bfloat
@@ -538,6 +558,7 @@ cd
centos
centric
changelog
checkpointing
chiplet
cmake
cmd
@@ -578,6 +599,7 @@ de
deallocation
debuggability
debian
deepseek
denoise
denoised
denoises
@@ -601,6 +623,7 @@ embeddings
enablement
encodings
endfor
endif
endpgm
enqueue
env
@@ -702,6 +725,7 @@ migratable
miopen
miopengemm
mivisionx
mixtral
mjx
mkdir
mlirmiopen
@@ -843,6 +867,7 @@ subfolder
subfolders
submodule
submodules
subnet
supercomputing
symlink
symlinks

View File

@@ -4,6 +4,139 @@ This page is a historical overview of changes made to ROCm components. This
consolidated changelog documents key modifications and improvements across
different versions of the ROCm software stack and its components.
## ROCm 6.4.1
See the [ROCm 6.4.1 release notes](https://rocm.docs.amd.com/en/docs-6.4.1/about/release-notes.html)
for a complete overview of this release.
### **AMD SMI** (25.4.2)
#### Added
* Dumping CPER entries from RAS tool `amdsmi_get_gpu_cper_entries()` to Python and C APIs.
- Dumping CPER entries consist of `amdsmi_cper_hdr_t`.
- Dumping CPER entries is also enabled in the CLI interface through `sudo amd-smi ras --cper`.
* `amdsmi_get_gpu_busy_percent` to the C API.
#### Changed
* Modified VRAM display for `amd-smi monitor -v`.
#### Optimized
* Improved load times for CLI commands when the GPU has multiple parititons.
#### Resolved issues
* Fixed partition enumeration in `amd-smi list -e`, `amdsmi_get_gpu_enumeration_info()`, `amdsmi_enumeration_info_t`, `drm_card`, and `drm_render` fields.
#### Known issues
* When using the `--follow` flag with `amd-smi ras --cper`, CPER entries are not streamed continuously as intended. This will be fixed in an upcoming ROCm release.
```{note}
See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
```
### **HIP** (6.4.1)
#### Added
* New log mask enumeration `LOG_COMGR` enables logging precise code object information.
#### Changed
* HIP runtime uses device bitcode before SPIRV.
* The implementation of preventing `hipLaunchKernel` latency degradation with number of idle streams is reverted or disabled by default.
#### Optimized
* Improved kernel logging includes de-mangling shader names.
* Refined implementation in HIP APIs `hipEventRecords` and `hipStreamWaitEvent` for performance improvement.
#### Resolved issues
* Stale state during the graph capture. The return error was fixed, HIP runtime now always uses the latest dependent nodes during `hipEventRecord` capture.
* Segmentation fault during kernel execution. HIP runtime now allows maximum stack size as per ISA on the GPU device.
### **hipBLASLt** (0.12.1)
#### Resolved issues
* Fixed an accuracy issue for some solutions using an `FP32` or `TF32` data type with a TT transpose.
### **RCCL** (2.22.3)
#### Changed
* MSCCL++ is now disabled by default. To enable it, set `RCCL_MSCCLPP_ENABLE=1`.
#### Resolved issues
* Fixed an issue where early termination, in rare circumstances, could cause the application to stop responding by adding synchronization before destroying a proxy thread.
* Fixed the accuracy issue for the MSCCLPP `allreduce7` kernel in graph mode.
#### Known issues
* When splitting a communicator using `ncclCommSplit` in some GPU configurations, MSCCL initialization can cause a segmentation fault. The recommended workaround is to disable MSCCL with `export RCCL_MSCCL_ENABLE=0`.
This issue will be fixed in a future ROCm release.
* Within the RCCL-UnitTests test suite, failures occur in tests ending with the
`.ManagedMem` and `.ManagedMemGraph` suffixes. These failures only affect the
test results and do not affect the RCCL component itself. This issue will be
resolved in a future ROCm release.
### **rocALUTION** (3.2.3)
#### Added
* The `-a` option has been added to the `rmake.py` build script. This option allows you to select specific architectures when building on Microsoft Windows.
#### Resolved issues
* Fixed an issue where the `HIP_PATH` environment variable was being ignored when compiling on Microsoft Windows.
### **ROCm Data Center Tool** (0.3.0)
#### Added
- Support for GPU partitions.
- `RDC_FI_GPU_BUSY_PERCENT` metric.
#### Changed
- Updated `rdc_field` to align with `rdc_bootstrap` for current metrics.
#### Resolved issues
- Fixed [ROCProfiler](https://rocm.docs.amd.com/projects/rocprofiler/en/docs-6.4.0/index.html) eval metrics and memory leaks.
### **ROCm SMI** (7.5.0)
#### Resolved issues
- Fixed partition enumeration. It now refers to the correct DRM Render and Card paths.
```{note}
See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
```
### **ROCm Systems Profiler** (1.0.1)
#### Added
* How-to document for [network performance profiling](https://rocm.docs.amd.com/projects/rocprofiler-systems/en/latest/how-to/nic-profiling.html) for standard Network Interface Cards (NICs).
#### Resolved issues
* Fixed a build issue with Dyninst on GCC 13.
### **ROCr Runtime** (1.15.0)
#### Resolved issues
* Fixed a rare occurrence issue on AMD Instinct MI25, MI50, and MI100 GPUs, where the `SDMA` copies might start before the dependent Kernel finishes and could cause memory corruption.
## ROCm 6.4.0
See the [ROCm 6.4.0 release notes](https://rocm.docs.amd.com/en/docs-6.4.0/about/release-notes.html)
@@ -761,6 +894,18 @@ See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/rele
- Fixed an issue where sampling multi-GPU Python workloads caused the system to stop responding.
### **ROCm Validation Suite** (1.1.0)
#### Added
* Configuration files for MI210.
* Support for OCP fp8 data type.
* GPU index-based CLI execution.
#### Changed
* JSON logging with updated schema.
### **rocPRIM** (3.4.0)
#### Added

143
README.md
View File

@@ -19,142 +19,17 @@ ROCm supports programming models, such as OpenMP and OpenCL, and includes all ne
source software compilers, debuggers, and libraries. ROCm is fully integrated into machine learning
(ML) frameworks, such as PyTorch and TensorFlow.
## Getting the ROCm Source Code
> [!IMPORTANT]
> A new open source build platform for ROCm is under development at
> https://github.com/ROCm/TheRock, featuring a unified CMake build with bundled
> dependencies, Windows support, and more.
>
> The instructions below describe the prior process for building from source
> which will be replaced once TheRock is mature enough.
AMD ROCm is built from open source software. It is, therefore, possible to modify the various components of ROCm by downloading the source code and rebuilding the components. The source code for ROCm components can be cloned from each of the GitHub repositories using git. For easy access to download the correct versions of each of these tools, the ROCm repository contains a repo manifest file called [default.xml](./default.xml). You can use this manifest file to download the source code for ROCm software.
## Getting and Building ROCm from Source
### Installing the repo tool
The repo tool from Google allows you to manage multiple git repositories simultaneously. Run the following commands to install the repo tool:
```bash
mkdir -p ~/bin/
curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
chmod a+x ~/bin/repo
```
**Note:** The ```~/bin/``` folder is used as an example. You can specify a different folder to install the repo tool into if you desire.
### Installing git-lfs
Some ROCm projects use the Git Large File Storage (LFS) format that may require you to install git-lfs. Refer to [Git Large File Storage](https://github.com/git-lfs/git-lfs/blob/main/INSTALLING.md) for more information. For example, to install git-lfs for Ubuntu, use the following command:
```bash
sudo apt-get install git-lfs
```
### Downloading the ROCm source code
The following example shows how to use the repo tool to download the ROCm source code. If you choose a directory other than ~/bin/ to install the repo tool, you must use that chosen directory in the code as shown below:
```bash
mkdir -p ~/ROCm/
cd ~/ROCm/
export ROCM_VERSION=6.4.0
~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
~/bin/repo sync
```
**Note:** Using this sample code will cause the repo tool to download the open source code associated with the specified ROCm release. Ensure that you have ssh-keys configured on your machine for your GitHub ID prior to the download as explained at [Connecting to GitHub with SSH](https://docs.github.com/en/authentication/connecting-to-github-with-ssh).
## Building the ROCm source code
Each ROCm component repository contains directions for building that component, such as the rocSPARSE documentation [Installation and Building for Linux](https://rocm.docs.amd.com/projects/rocSPARSE/en/latest/install/Linux_Install_Guide.html). Refer to the specific component documentation for instructions on building the repository.
Each release of the ROCm software supports specific hardware and software configurations. Refer to [System requirements (Linux)](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html) for the current supported hardware and OS.
## Build ROCm from source
The Build will use as many processors as it can find to build in parallel. Some of the compiles can consume as much as 10GB of RAM, so make sure you have plenty of Swap Space !
By default the ROCm build will compile for all supported GPU architectures and will take approximately 500 CPU hours.
The Build time will reduce significantly if we limit the GPU Architecture/s against which we need to build by using the environment variable GPU_ARCHS as mentioned below.
```bash
# --------------------------------------
# Step1: clone source code
# --------------------------------------
mkdir -p ~/WORKSPACE/ # Or any folder name other than WORKSPACE
cd ~/WORKSPACE/
export ROCM_VERSION=6.4.0
~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
~/bin/repo sync
# --------------------------------------
# Step 2: Prepare build environment
# --------------------------------------
# Option 1: Start a docker container
# Pulling required base docker images:
# Ubuntu22.04 built from ROCm/tools/rocm-build/docker/ubuntu22/Dockerfile
docker pull rocm/rocm-build-ubuntu-22.04:6.4
# Ubuntu24.04 built from ROCm/tools/rocm-build/docker/ubuntu24/Dockerfile
docker pull rocm/rocm-build-ubuntu-24.04:6.4
# Start docker container and mount the source code folder:
docker run -ti \
-e ROCM_VERSION=${ROCM_VERSION} \
-e CCACHE_DIR=$HOME/.ccache \
-e CCACHE_ENABLED=true \
-e DOCK_WORK_FOLD=/src \
-w /src \
-v $PWD:/src \
-v /etc/passwd:/etc/passwd \
-v /etc/shadow:/etc/shadow \
-v ${HOME}/.ccache:${HOME}/.ccache \
-u $(id -u):$(id -g) \
<replace_with_required_ubuntu_base_docker_image> bash
# Option 2: Install required packages into the host machine
# For ubuntu22.04 system
cd ROCm/tools/rocm-build/docker/ubuntu22
cp * /tmp && cd /tmp
bash install-prerequisites.sh
# For ubuntu24.04 system
cd ROCm/tools/rocm-build/docker/ubuntu24
cp * /tmp && cd /tmp
bash install-prerequisites.sh
# --------------------------------------
# Step 3: Run build command line
# --------------------------------------
# Select GPU targets before building:
# When GPU_ARCHS is not set, default GPU targets supported by ROCm6.1 will be used.
# To build against a subset of GFX architectures you can use the below env variable.
# Support MI300 (gfx940, gfx941, gfx942).
export GPU_ARCHS="gfx942" # Example
export GPU_ARCHS="gfx940;gfx941;gfx942" # Example
# Pick and run build commands in the docker container:
# Build rocm-dev packages
make -f ROCm/tools/rocm-build/ROCm.mk -j ${NPROC:-$(nproc)} rocm-dev
# Build all ROCm packages
make -f ROCm/tools/rocm-build/ROCm.mk -j ${NPROC:-$(nproc)} all
# list all ROCm components to find required components
make -f ROCm/tools/rocm-build/ROCm.mk list_components
# Build a single ROCm packages
make -f ROCm/tools/rocm-build/ROCm.mk T_rocblas
# Find built packages in ubuntu22.04:
out/ubuntu-22.04/22.04/deb/
# Find built packages in ubuntu24.04:
out/ubuntu-24.04/24.04/deb/
# Find built logs in ubuntu22.04:
out/ubuntu-22.04/22.04/logs/
# Find built logs in ubuntu24.04:
out/ubuntu-24.04/24.04/logs/
# All logs pertaining to failed components, end with .errrors extension.
out/ubuntu-22.04/22.04/logs/rocblas.errors # Example
# All logs pertaining to building components, end with .inprogress extension.
out/ubuntu-22.04/22.04/logs/rocblas.inprogress # Example
# All logs pertaining to passed components, use the component names.
out/ubuntu-22.04/22.04/logs/rocblas # Example
```
Note: [Overview for ROCm.mk](tools/rocm-build/README.md)
Please use [TheRock](https://github.com/ROCm/TheRock) build system to build ROCm from source.
## ROCm documentation

1487
RELEASE.md

File diff suppressed because it is too large Load Diff

View File

@@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
<manifest>
<remote name="rocm-org" fetch="https://github.com/ROCm/" />
<default revision="refs/tags/rocm-6.4.0"
<default revision="refs/tags/rocm-6.4.1"
remote="rocm-org"
sync-c="true"
sync-j="4" />

View File

@@ -1,149 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="ROCm licensing terms">
<meta name="keywords" content="license, licensing terms">
</head>
# ROCm license
```{include} ../../LICENSE
```
:::{note}
The preceding license applies to the [ROCm repository](https://github.com/ROCm/ROCm), which
primarily contains documentation. For licenses related to other ROCm components, refer to the
following section.
:::
## ROCm component licenses
ROCm is released by Advanced Micro Devices, Inc. (AMD) 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.
<!-- spellcheck-disable -->
| Component | License |
|:---------------------|:-------------------------|
| [AMD Compute Language Runtime (CLR)](https://github.com/ROCm/clr) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/LICENSE.txt) |
| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/amd-staging/LICENSE) |
| [aomp](https://github.com/ROCm/aomp/) | [Apache 2.0](https://github.com/ROCm/aomp/blob/aomp-dev/LICENSE) |
| [aomp-extras](https://github.com/ROCm/aomp-extras/) | [MIT](https://github.com/ROCm/aomp-extras/blob/aomp-dev/LICENSE) |
| [Code Object Manager (Comgr)](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/comgr) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/comgr/LICENSE.txt) |
| [Composable Kernel](https://github.com/ROCm/composable_kernel) | [MIT](https://github.com/ROCm/composable_kernel/blob/develop/LICENSE) |
| [half](https://github.com/ROCm/half/) | [MIT](https://github.com/ROCm/half/blob/rocm/LICENSE.txt) |
| [HIP](https://github.com/ROCm/HIP/) | [MIT](https://github.com/ROCm/HIP/blob/amd-staging/LICENSE.txt) |
| [hipamd](https://github.com/ROCm/clr/tree/amd-staging/hipamd) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/hipamd/LICENSE.txt) |
| [hipBLAS](https://github.com/ROCm/hipBLAS/) | [MIT](https://github.com/ROCm/hipBLAS/blob/develop/LICENSE.md) |
| [hipBLASLt](https://github.com/ROCm/hipBLASLt/) | [MIT](https://github.com/ROCm/hipBLASLt/blob/develop/LICENSE.md) |
| [HIPCC](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/hipcc) | [MIT](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/hipcc/LICENSE.txt) |
| [hipCUB](https://github.com/ROCm/hipCUB/) | [Custom](https://github.com/ROCm/hipCUB/blob/develop/LICENSE.txt) |
| [hipFFT](https://github.com/ROCm/hipFFT/) | [MIT](https://github.com/ROCm/hipFFT/blob/develop/LICENSE.md) |
| [hipfort](https://github.com/ROCm/hipfort/) | [MIT](https://github.com/ROCm/hipfort/blob/develop/LICENSE) |
| [HIPIFY](https://github.com/ROCm/HIPIFY/) | [MIT](https://github.com/ROCm/HIPIFY/blob/amd-staging/LICENSE.txt) |
| [hipRAND](https://github.com/ROCm/hipRAND/) | [MIT](https://github.com/ROCm/hipRAND/blob/develop/LICENSE.txt) |
| [hipSOLVER](https://github.com/ROCm/hipSOLVER/) | [MIT](https://github.com/ROCm/hipSOLVER/blob/develop/LICENSE.md) |
| [hipSPARSE](https://github.com/ROCm/hipSPARSE/) | [MIT](https://github.com/ROCm/hipSPARSE/blob/develop/LICENSE.md) |
| [hipSPARSELt](https://github.com/ROCm/hipSPARSELt/) | [MIT](https://github.com/ROCm/hipSPARSELt/blob/develop/LICENSE.md) |
| [hipTensor](https://github.com/ROCm/hipTensor) | [MIT](https://github.com/ROCm/hipTensor/blob/develop/LICENSE) |
| hsa-amd-aqlprofile | [AMD Software EULA](https://www.amd.com/en/legal/eula/amd-software-eula.html) |
| [llvm-project](https://github.com/ROCm/llvm-project/) | [Apache](https://github.com/ROCm/llvm-project/blob/amd-staging/LICENSE.TXT) |
| [llvm-project/flang](https://github.com/ROCm/llvm-project/tree/amd-staging/flang) | [Apache 2.0](https://github.com/ROCm/llvm-project/blob/amd-staging/flang/LICENSE.TXT) |
| [MIGraphX](https://github.com/ROCm/AMDMIGraphX/) | [MIT](https://github.com/ROCm/AMDMIGraphX/blob/develop/LICENSE) |
| [MIOpen](https://github.com/ROCm/MIOpen/) | [MIT](https://github.com/ROCm/MIOpen/blob/develop/LICENSE.txt) |
| [MIVisionX](https://github.com/ROCm/MIVisionX/) | [MIT](https://github.com/ROCm/MIVisionX/blob/develop/LICENSE.txt) |
| [rocAL](https://github.com/ROCm/rocAL) | [MIT](https://github.com/ROCm/rocAL/blob/develop/LICENSE.txt) |
| [rocALUTION](https://github.com/ROCm/rocALUTION/) | [MIT](https://github.com/ROCm/rocALUTION/blob/develop/LICENSE.md) |
| [rocBLAS](https://github.com/ROCm/rocBLAS/) | [MIT](https://github.com/ROCm/rocBLAS/blob/develop/LICENSE.md) |
| [ROCdbgapi](https://github.com/ROCm/ROCdbgapi/) | [MIT](https://github.com/ROCm/ROCdbgapi/blob/amd-staging/LICENSE.txt) |
| [rocDecode](https://github.com/ROCm/rocDecode) | [MIT](https://github.com/ROCm/rocDecode/blob/develop/LICENSE) |
| [rocFFT](https://github.com/ROCm/rocFFT/) | [MIT](https://github.com/ROCm/rocFFT/blob/develop/LICENSE.md) |
| [ROCgdb](https://github.com/ROCm/ROCgdb/) | [GNU General Public License v3.0](https://github.com/ROCm/ROCgdb/blob/amd-staging/COPYING3) |
| [rocJPEG](https://github.com/ROCm/rocJPEG/) | [MIT](https://github.com/ROCm/rocJPEG/blob/develop/LICENSE) |
| [ROCK-Kernel-Driver](https://github.com/ROCm/ROCK-Kernel-Driver/) | [GPL 2.0 WITH Linux-syscall-note](https://github.com/ROCm/ROCK-Kernel-Driver/blob/master/COPYING) |
| [rocminfo](https://github.com/ROCm/rocminfo/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocminfo/blob/amd-staging/License.txt) |
| [ROCm Bandwidth Test](https://github.com/ROCm/rocm_bandwidth_test/) | [MIT](https://github.com/ROCm/rocm_bandwidth_test/blob/master/LICENSE.txt) |
| [ROCm CMake](https://github.com/ROCm/rocm-cmake/) | [MIT](https://github.com/ROCm/rocm-cmake/blob/develop/LICENSE) |
| [ROCm Communication Collectives Library (RCCL)](https://github.com/ROCm/rccl/) | [Custom](https://github.com/ROCm/rccl/blob/develop/LICENSE.txt) |
| [ROCm-Core](https://github.com/ROCm/rocm-core) | [MIT](https://github.com/ROCm/rocm-core/blob/master/copyright) |
| [ROCm Compute Profiler](https://github.com/ROCm/rocprofiler-compute) | [MIT](https://github.com/ROCm/rocprofiler-compute/blob/amd-staging/LICENSE) |
| [ROCm Data Center (RDC)](https://github.com/ROCm/rdc/) | [MIT](https://github.com/ROCm/rdc/blob/amd-staging/LICENSE) |
| [ROCm-Device-Libs](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/device-libs) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/device-libs/LICENSE.TXT) |
| [ROCm-OpenCL-Runtime](https://github.com/ROCm/clr/tree/amd-staging/opencl) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/opencl/LICENSE.txt) |
| [ROCm Performance Primitives (RPP)](https://github.com/ROCm/rpp) | [MIT](https://github.com/ROCm/rpp/blob/develop/LICENSE) |
| [ROCm SMI Lib](https://github.com/ROCm/rocm_smi_lib/) | [MIT](https://github.com/ROCm/rocm_smi_lib/blob/amd-staging/License.txt) |
| [ROCm Systems Profiler](https://github.com/ROCm/rocprofiler-systems) | [MIT](https://github.com/ROCm/rocprofiler-systems/blob/amd-staging/LICENSE) |
| [ROCm Validation Suite](https://github.com/ROCm/ROCmValidationSuite/) | [MIT](https://github.com/ROCm/ROCmValidationSuite/blob/master/LICENSE) |
| [rocPRIM](https://github.com/ROCm/rocPRIM/) | [MIT](https://github.com/ROCm/rocPRIM/blob/develop/LICENSE.txt) |
| [ROCProfiler](https://github.com/ROCm/rocprofiler/) | [MIT](https://github.com/ROCm/rocprofiler/blob/amd-staging/LICENSE) |
| [ROCprofiler-SDK](https://github.com/ROCm/rocprofiler-sdk) | [MIT](https://github.com/ROCm/rocprofiler-sdk/blob/amd-mainline/LICENSE) |
| [rocPyDecode](https://github.com/ROCm/rocPyDecode) | [MIT](https://github.com/ROCm/rocPyDecode/blob/develop/LICENSE.txt) |
| [rocRAND](https://github.com/ROCm/rocRAND/) | [MIT](https://github.com/ROCm/rocRAND/blob/develop/LICENSE.txt) |
| [ROCr Debug Agent](https://github.com/ROCm/rocr_debug_agent/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocr_debug_agent/blob/amd-staging/LICENSE.txt) |
| [ROCR-Runtime](https://github.com/ROCm/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/ROCm/ROCR-Runtime/blob/amd-staging/LICENSE.txt) |
| [rocSHMEM](https://github.com/ROCm/rocSHMEM/) | [MIT](https://github.com/ROCm/rocSHMEM/blob/develop/LICENSE.md) |
| [rocSOLVER](https://github.com/ROCm/rocSOLVER/) | [BSD-2-Clause](https://github.com/ROCm/rocSOLVER/blob/develop/LICENSE.md) |
| [rocSPARSE](https://github.com/ROCm/rocSPARSE/) | [MIT](https://github.com/ROCm/rocSPARSE/blob/develop/LICENSE.md) |
| [rocThrust](https://github.com/ROCm/rocThrust/) | [Apache 2.0](https://github.com/ROCm/rocThrust/blob/develop/LICENSE) |
| [ROCTracer](https://github.com/ROCm/roctracer/) | [MIT](https://github.com/ROCm/roctracer/blob/amd-master/LICENSE) |
| [rocWMMA](https://github.com/ROCm/rocWMMA/) | [MIT](https://github.com/ROCm/rocWMMA/blob/develop/LICENSE.md) |
| [Tensile](https://github.com/ROCm/Tensile/) | [MIT](https://github.com/ROCm/Tensile/blob/develop/LICENSE.md) |
| [TransferBench](https://github.com/ROCm/TransferBench) | [MIT](https://github.com/ROCm/TransferBench/blob/develop/LICENSE.md) |
Open sourced ROCm components are released via public GitHub
repositories, packages on [https://repo.radeon.com](https://repo.radeon.com) and other distribution channels.
Proprietary products are only available on [https://repo.radeon.com](https://repo.radeon.com).
Proprietary components are organized in a proprietary subdirectory in the package
repositories to distinguish from open sourced packages.
```{note}
The following additional terms and conditions apply to your use of ROCm technical documentation.
```
©2023 - 2025 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 available
in `/opt/rocm/share/doc/hsa-amd-aqlprofile/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>/` or in the locations
specified in the preceding table.
For example, you can fetch the licensing information of the `amd_comgr`
component (Code Object Manager) from the `/opt/rocm/share/doc/amd_comgr/LICENSE.txt` file.

View File

@@ -1,121 +0,0 @@
ROCm Version,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
:ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
,,,,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
,SLES 15 SP6,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
,"Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,,,,,,,,,,,,
,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
,,,,,,,,,,,,,,,
FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
:doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
:doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
`ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
,,,,,,,,,,,,,,,
THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
`UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
`UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
,,,,,,,,,,,,,,,
THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
Thrust,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
CUB,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
,,,,,,,,,,,,,,,
KMD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
KMD versions,"6.4.x, 6.3.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
,,,,,,,,,,,,,,,
ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
:doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
:doc:`MIOpen <miopen:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
:doc:`MIVisionX <mivisionx:index>`,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
:doc:`rocAL <rocal:index>`,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
:doc:`rocDecode <rocdecode:index>`,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
:doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`RPP <rpp:index>`,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
,,,,,,,,,,,,,,,
COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`RCCL <rccl:index>`,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
`rocSHMEM <https://github.com/ROCm/rocSHMEM>`_,2.0.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
,,,,,,,,,,,,,,,
MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
`half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
:doc:`hipBLAS <hipblas:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
:doc:`hipBLASLt <hipblaslt:index>`,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
:doc:`hipFFT <hipfft:index>`,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
:doc:`hipfort <hipfort:index>`,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
:doc:`hipRAND <hiprand:index>`,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
:doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
:doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
:doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
:doc:`rocALUTION <rocalution:index>`,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
:doc:`rocBLAS <rocblas:index>`,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
:doc:`rocFFT <rocfft:index>`,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
:doc:`rocRAND <rocrand:index>`,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
:doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
:doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
:doc:`rocWMMA <rocwmma:index>`,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
:doc:`Tensile <tensile:src/index>`,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
,,,,,,,,,,,,,,,
PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`hipCUB <hipcub:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
:doc:`hipTensor <hiptensor:index>`,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
:doc:`rocPRIM <rocprim:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
:doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
,,,,,,,,,,,,,,,
SUPPORT LIBS,,,,,,,,,,,,,,,
`hipother <https://github.com/ROCm/hipother>`_,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
`rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
`ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
,,,,,,,,,,,,,,,
SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`AMD SMI <amdsmi:index>`,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
:doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
:doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
:doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
:doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
,,,,,,,,,,,,,,,
PERFORMANCE TOOLS,,,,,,,,,,,,,,,
:doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
:doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`ROCProfiler <rocprofiler:index>`,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
:doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`ROCTracer <roctracer:index>`,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
,,,,,,,,,,,,,,,
DEVELOPMENT TOOLS,,,,,,,,,,,,,,,
:doc:`HIPIFY <hipify:index>`,19.0.0.25104,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
:doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
:doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
:doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
`rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
:doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
,,,,,,,,,,,,,,,
COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
`clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
:doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
`Flang <https://github.com/ROCm/flang>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
:doc:`llvm-project <llvm-project:index>`,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
`OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
,,,,,,,,,,,,,,,
RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
:doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
:doc:`HIP <hip:index>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
`OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
:doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0
1 ROCm Version 6.4.0 6.3.3 6.3.2 6.3.1 6.3.0 6.2.4 6.2.2 6.2.1 6.2.0 6.1.5 6.1.2 6.1.1 6.1.0 6.0.2 6.0.0
2 :ref:`Operating systems & kernels <OS-kernel-versions>` Ubuntu 24.04.2 Ubuntu 24.04.2 Ubuntu 24.04.2 Ubuntu 24.04.2 Ubuntu 24.04.2 Ubuntu 24.04.1, 24.04 Ubuntu 24.04.1, 24.04 Ubuntu 24.04.1, 24.04 Ubuntu 24.04
3 Ubuntu 22.04.5 Ubuntu 22.04.5 Ubuntu 22.04.5 Ubuntu 22.04.5 Ubuntu 22.04.5 Ubuntu 22.04.5, 22.04.4 Ubuntu 22.04.5, 22.04.4 Ubuntu 22.04.5, 22.04.4 Ubuntu 22.04.5, 22.04.4 Ubuntu 22.04.5, 22.04.4, 22.04.3 Ubuntu 22.04.4, 22.04.3 Ubuntu 22.04.4, 22.04.3 Ubuntu 22.04.4, 22.04.3 Ubuntu 22.04.4, 22.04.3, 22.04.2 Ubuntu 22.04.4, 22.04.3, 22.04.2
4 Ubuntu 20.04.6, 20.04.5 Ubuntu 20.04.6, 20.04.5 Ubuntu 20.04.6, 20.04.5 Ubuntu 20.04.6, 20.04.5 Ubuntu 20.04.6, 20.04.5 Ubuntu 20.04.6, 20.04.5
5 RHEL 9.5, 9.4 RHEL 9.5, 9.4 RHEL 9.5, 9.4 RHEL 9.5, 9.4 RHEL 9.5, 9.4 RHEL 9.4, 9.3 RHEL 9.4, 9.3 RHEL 9.4, 9.3 RHEL 9.4, 9.3 RHEL 9.4, 9.3, 9.2 RHEL 9.4, 9.3, 9.2 RHEL 9.4, 9.3, 9.2 RHEL 9.4, 9.3, 9.2 RHEL 9.3, 9.2 RHEL 9.3, 9.2
6 RHEL 8.10 RHEL 8.10 RHEL 8.10 RHEL 8.10 RHEL 8.10 RHEL 8.10, 8.9 RHEL 8.10, 8.9 RHEL 8.10, 8.9 RHEL 8.10, 8.9 RHEL 8.9, 8.8 RHEL 8.9, 8.8 RHEL 8.9, 8.8 RHEL 8.9, 8.8 RHEL 8.9, 8.8 RHEL 8.9, 8.8
7 SLES 15 SP6 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP6, SP5 SLES 15 SP5, SP4 SLES 15 SP5, SP4 SLES 15 SP5, SP4 SLES 15 SP5, SP4 SLES 15 SP5, SP4 SLES 15 SP5, SP4
8 CentOS 7.9 CentOS 7.9 CentOS 7.9 CentOS 7.9 CentOS 7.9
9 Oracle Linux 9, 8 [#mi300x-past-60]_ Oracle Linux 8.10 [#mi300x-past-60]_ Oracle Linux 8.10 [#mi300x-past-60]_ Oracle Linux 8.10 [#mi300x-past-60]_ Oracle Linux 8.10 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_ Oracle Linux 8.9 [#mi300x-past-60]_
10 Debian 12 [#single-node-past-60]_ Debian 12 [#single-node-past-60]_ Debian 12 [#single-node-past-60]_ Debian 12 [#single-node-past-60]_
11 Azure Linux 3.0 [#mi300x-past-60]_ Azure Linux 3.0 [#mi300x-past-60]_ Azure Linux 3.0 [#mi300x-past-60]_
12 .. _architecture-support-compatibility-matrix-past-60:
13 :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>` CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3 CDNA3
14 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2 CDNA2
15 CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA CDNA
16 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3 RDNA3
17 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2 RDNA2
18 .. _gpu-support-compatibility-matrix-past-60:
19 :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>` gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100 gfx1100
20 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030 gfx1030
21 gfx942 gfx942 gfx942 gfx942 gfx942 gfx942 [#mi300_624-past-60]_ gfx942 [#mi300_622-past-60]_ gfx942 [#mi300_621-past-60]_ gfx942 [#mi300_620-past-60]_ gfx942 [#mi300_612-past-60]_ gfx942 [#mi300_612-past-60]_ gfx942 [#mi300_611-past-60]_ gfx942 [#mi300_610-past-60]_ gfx942 [#mi300_602-past-60]_ gfx942 [#mi300_600-past-60]_
22 gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a gfx90a
23 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908 gfx908
24
25 FRAMEWORK SUPPORT .. _framework-support-compatibility-matrix-past-60:
26 :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>` 2.6, 2.5, 2.4, 2.3 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 1.13 2.4, 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.3, 2.2, 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13 2.1, 2.0, 1.13
27 :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>` 2.18.1, 2.17.1, 2.16.2 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.17.0, 2.16.2, 2.15.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.16.1, 2.15.1, 2.14.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.15.0, 2.14.0, 2.13.1 2.14.0, 2.13.1, 2.12.1 2.14.0, 2.13.1, 2.12.1
28 :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>` 0.4.35 0.4.31 0.4.31 0.4.31 0.4.31 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26 0.4.26
29 `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_ 1.2 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.17.3 1.14.1 1.14.1
30
31 THIRD PARTY COMMS .. _thirdpartycomms-support-compatibility-matrix-past-60:
32 `UCC <https://github.com/ROCm/ucc>`_ >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.3.0 >=1.2.0 >=1.2.0
33 `UCX <https://github.com/ROCm/ucx>`_ >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.15.0 >=1.14.1 >=1.14.1 >=1.14.1 >=1.14.1 >=1.14.1 >=1.14.1
34
35 THIRD PARTY ALGORITHM .. _thirdpartyalgorithm-support-compatibility-matrix-past-60:
36 Thrust 2.5.0 2.3.2 2.3.2 2.3.2 2.3.2 2.2.0 2.2.0 2.2.0 2.2.0 2.1.0 2.1.0 2.1.0 2.1.0 2.0.1 2.0.1
37 CUB 2.5.0 2.3.2 2.3.2 2.3.2 2.3.2 2.2.0 2.2.0 2.2.0 2.2.0 2.1.0 2.1.0 2.1.0 2.1.0 2.0.1 2.0.1
38
39 KMD & USER SPACE [#kfd_support-past-60]_ .. _kfd-userspace-support-compatibility-matrix-past-60:
40 KMD versions 6.4.x, 6.3.x 6.4.x, 6.3.x, 6.2.x, 6.1.x 6.4.x, 6.3.x, 6.2.x, 6.1.x 6.4.x, 6.3.x, 6.2.x, 6.1.x 6.4.x, 6.3.x, 6.2.x, 6.1.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x 6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x 6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x 6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x
41
42 ML & COMPUTER VISION .. _mllibs-support-compatibility-matrix-past-60:
43 :doc:`Composable Kernel <composable_kernel:index>` 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0
44 :doc:`MIGraphX <amdmigraphx:index>` 2.12.0 2.11.0 2.11.0 2.11.0 2.11.0 2.10.0 2.10.0 2.10.0 2.10.0 2.9.0 2.9.0 2.9.0 2.9.0 2.8.0 2.8.0
45 :doc:`MIOpen <miopen:index>` 3.4.0 3.3.0 3.3.0 3.3.0 3.3.0 3.2.0 3.2.0 3.2.0 3.2.0 3.1.0 3.1.0 3.1.0 3.1.0 3.0.0 3.0.0
46 :doc:`MIVisionX <mivisionx:index>` 3.2.0 3.1.0 3.1.0 3.1.0 3.1.0 3.0.0 3.0.0 3.0.0 3.0.0 2.5.0 2.5.0 2.5.0 2.5.0 2.5.0 2.5.0
47 :doc:`rocAL <rocal:index>` 2.2.0 2.1.0 2.1.0 2.1.0 2.1.0 2.0.0 2.0.0 2.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0
48 :doc:`rocDecode <rocdecode:index>` 0.10.0 0.8.0 0.8.0 0.8.0 0.8.0 0.6.0 0.6.0 0.6.0 0.6.0 0.6.0 0.6.0 0.5.0 0.5.0 N/A N/A
49 :doc:`rocJPEG <rocjpeg:index>` 0.8.0 0.6.0 0.6.0 0.6.0 0.6.0 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
50 :doc:`rocPyDecode <rocpydecode:index>` 0.3.1 0.2.0 0.2.0 0.2.0 0.2.0 0.1.0 0.1.0 0.1.0 0.1.0 N/A N/A N/A N/A N/A N/A
51 :doc:`RPP <rpp:index>` 1.9.10 1.9.1 1.9.1 1.9.1 1.9.1 1.8.0 1.8.0 1.8.0 1.8.0 1.5.0 1.5.0 1.5.0 1.5.0 1.4.0 1.4.0
52
53 COMMUNICATION .. _commlibs-support-compatibility-matrix-past-60:
54 :doc:`RCCL <rccl:index>` 2.22.3 2.21.5 2.21.5 2.21.5 2.21.5 2.20.5 2.20.5 2.20.5 2.20.5 2.18.6 2.18.6 2.18.6 2.18.6 2.18.3 2.18.3
55 `rocSHMEM <https://github.com/ROCm/rocSHMEM>`_ 2.0.0 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
56
57 MATH LIBS .. _mathlibs-support-compatibility-matrix-past-60:
58 `half <https://github.com/ROCm/half>`_ 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0 1.12.0
59 :doc:`hipBLAS <hipblas:index>` 2.4.0 2.3.0 2.3.0 2.3.0 2.3.0 2.2.0 2.2.0 2.2.0 2.2.0 2.1.0 2.1.0 2.1.0 2.1.0 2.0.0 2.0.0
60 :doc:`hipBLASLt <hipblaslt:index>` 0.12.0 0.10.0 0.10.0 0.10.0 0.10.0 0.8.0 0.8.0 0.8.0 0.8.0 0.7.0 0.7.0 0.7.0 0.7.0 0.6.0 0.6.0
61 :doc:`hipFFT <hipfft:index>` 1.0.18 1.0.17 1.0.17 1.0.17 1.0.17 1.0.16 1.0.15 1.0.15 1.0.14 1.0.14 1.0.14 1.0.14 1.0.14 1.0.13 1.0.13
62 :doc:`hipfort <hipfort:index>` 0.6.0 0.5.1 0.5.1 0.5.0 0.5.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0
63 :doc:`hipRAND <hiprand:index>` 2.12.0 2.11.1 2.11.1 2.11.1 2.11.0 2.11.1 2.11.0 2.11.0 2.11.0 2.10.16 2.10.16 2.10.16 2.10.16 2.10.16 2.10.16
64 :doc:`hipSOLVER <hipsolver:index>` 2.4.0 2.3.0 2.3.0 2.3.0 2.3.0 2.2.0 2.2.0 2.2.0 2.2.0 2.1.1 2.1.1 2.1.1 2.1.0 2.0.0 2.0.0
65 :doc:`hipSPARSE <hipsparse:index>` 3.2.0 3.1.2 3.1.2 3.1.2 3.1.2 3.1.1 3.1.1 3.1.1 3.1.1 3.0.1 3.0.1 3.0.1 3.0.1 3.0.0 3.0.0
66 :doc:`hipSPARSELt <hipsparselt:index>` 0.2.3 0.2.2 0.2.2 0.2.2 0.2.2 0.2.1 0.2.1 0.2.1 0.2.1 0.2.0 0.2.0 0.1.0 0.1.0 0.1.0 0.1.0
67 :doc:`rocALUTION <rocalution:index>` 3.2.2 3.2.1 3.2.1 3.2.1 3.2.1 3.2.1 3.2.0 3.2.0 3.2.0 3.1.1 3.1.1 3.1.1 3.1.1 3.0.3 3.0.3
68 :doc:`rocBLAS <rocblas:index>` 4.4.0 4.3.0 4.3.0 4.3.0 4.3.0 4.2.4 4.2.1 4.2.1 4.2.0 4.1.2 4.1.2 4.1.0 4.1.0 4.0.0 4.0.0
69 :doc:`rocFFT <rocfft:index>` 1.0.32 1.0.31 1.0.31 1.0.31 1.0.31 1.0.30 1.0.29 1.0.29 1.0.28 1.0.27 1.0.27 1.0.27 1.0.26 1.0.25 1.0.23
70 :doc:`rocRAND <rocrand:index>` 3.3.0 3.2.0 3.2.0 3.2.0 3.2.0 3.1.1 3.1.0 3.1.0 3.1.0 3.0.1 3.0.1 3.0.1 3.0.1 3.0.0 2.10.17
71 :doc:`rocSOLVER <rocsolver:index>` 3.28.0 3.27.0 3.27.0 3.27.0 3.27.0 3.26.2 3.26.0 3.26.0 3.26.0 3.25.0 3.25.0 3.25.0 3.25.0 3.24.0 3.24.0
72 :doc:`rocSPARSE <rocsparse:index>` 3.4.0 3.3.0 3.3.0 3.3.0 3.3.0 3.2.1 3.2.0 3.2.0 3.2.0 3.1.2 3.1.2 3.1.2 3.1.2 3.0.2 3.0.2
73 :doc:`rocWMMA <rocwmma:index>` 1.7.0 1.6.0 1.6.0 1.6.0 1.6.0 1.5.0 1.5.0 1.5.0 1.5.0 1.4.0 1.4.0 1.4.0 1.4.0 1.3.0 1.3.0
74 :doc:`Tensile <tensile:src/index>` 4.43.0 4.42.0 4.42.0 4.42.0 4.42.0 4.41.0 4.41.0 4.41.0 4.41.0 4.40.0 4.40.0 4.40.0 4.40.0 4.39.0 4.39.0
75
76 PRIMITIVES .. _primitivelibs-support-compatibility-matrix-past-60:
77 :doc:`hipCUB <hipcub:index>` 3.4.0 3.3.0 3.3.0 3.3.0 3.3.0 3.2.1 3.2.0 3.2.0 3.2.0 3.1.0 3.1.0 3.1.0 3.1.0 3.0.0 3.0.0
78 :doc:`hipTensor <hiptensor:index>` 1.5.0 1.4.0 1.4.0 1.4.0 1.4.0 1.3.0 1.3.0 1.3.0 1.3.0 1.2.0 1.2.0 1.2.0 1.2.0 1.1.0 1.1.0
79 :doc:`rocPRIM <rocprim:index>` 3.4.0 3.3.0 3.3.0 3.3.0 3.3.0 3.2.2 3.2.0 3.2.0 3.2.0 3.1.0 3.1.0 3.1.0 3.1.0 3.0.0 3.0.0
80 :doc:`rocThrust <rocthrust:index>` 3.3.0 3.3.0 3.3.0 3.3.0 3.3.0 3.1.1 3.1.0 3.1.0 3.0.1 3.0.1 3.0.1 3.0.1 3.0.1 3.0.0 3.0.0
81
82 SUPPORT LIBS
83 `hipother <https://github.com/ROCm/hipother>`_ 6.4.43482 6.3.42134 6.3.42134 6.3.42133 6.3.42131 6.2.41134 6.2.41134 6.2.41134 6.2.41133 6.1.40093 6.1.40093 6.1.40092 6.1.40091 6.1.32831 6.1.32830
84 `rocm-core <https://github.com/ROCm/rocm-core>`_ 6.4.0 6.3.3 6.3.2 6.3.1 6.3.0 6.2.4 6.2.2 6.2.1 6.2.0 6.1.5 6.1.2 6.1.1 6.1.0 6.0.2 6.0.0
85 `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_ N/A [#ROCT-rocr-past-60]_ N/A [#ROCT-rocr-past-60]_ N/A [#ROCT-rocr-past-60]_ N/A [#ROCT-rocr-past-60]_ N/A [#ROCT-rocr-past-60]_ 20240607.5.7 20240607.5.7 20240607.4.05 20240607.1.4246 20240125.5.08 20240125.5.08 20240125.5.08 20240125.3.30 20231016.2.245 20231016.2.245
86
87 SYSTEM MGMT TOOLS .. _tools-support-compatibility-matrix-past-60:
88 :doc:`AMD SMI <amdsmi:index>` 25.3.0 24.7.1 24.7.1 24.7.1 24.7.1 24.6.3 24.6.3 24.6.3 24.6.2 24.5.1 24.5.1 24.5.1 24.4.1 23.4.2 23.4.2
89 :doc:`ROCm Data Center Tool <rdc:index>` 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0 0.3.0
90 :doc:`rocminfo <rocminfo:index>` 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0
91 :doc:`ROCm SMI <rocm_smi_lib:index>` 7.5.0 7.4.0 7.4.0 7.4.0 7.4.0 7.3.0 7.3.0 7.3.0 7.3.0 7.2.0 7.2.0 7.0.0 7.0.0 6.0.2 6.0.0
92 :doc:`ROCm Validation Suite <rocmvalidationsuite:index>` 1.1.0 1.1.0 1.1.0 1.1.0 1.1.0 1.0.60204 1.0.60202 1.0.60201 1.0.60200 1.0.60105 1.0.60102 1.0.60101 1.0.60100 1.0.60002 1.0.60000
93
94 PERFORMANCE TOOLS
95 :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>` 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0 1.4.0
96 :doc:`ROCm Compute Profiler <rocprofiler-compute:index>` 3.1.0 3.0.0 3.0.0 3.0.0 3.0.0 2.0.1 2.0.1 2.0.1 2.0.1 N/A N/A N/A N/A N/A N/A
97 :doc:`ROCm Systems Profiler <rocprofiler-systems:index>` 1.0.0 0.1.2 0.1.1 0.1.0 0.1.0 1.11.2 1.11.2 1.11.2 1.11.2 N/A N/A N/A N/A N/A N/A
98 :doc:`ROCProfiler <rocprofiler:index>` 2.0.60400 2.0.60303 2.0.60302 2.0.60301 2.0.60300 2.0.60204 2.0.60202 2.0.60201 2.0.60200 2.0.60105 2.0.60102 2.0.60101 2.0.60100 2.0.60002 2.0.60000
99 :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>` 0.6.0 0.5.0 0.5.0 0.5.0 0.5.0 0.4.0 0.4.0 0.4.0 0.4.0 N/A N/A N/A N/A N/A N/A
100 :doc:`ROCTracer <roctracer:index>` 4.1.60400 4.1.60303 4.1.60302 4.1.60301 4.1.60300 4.1.60204 4.1.60202 4.1.60201 4.1.60200 4.1.60105 4.1.60102 4.1.60101 4.1.60100 4.1.60002 4.1.60000
101
102 DEVELOPMENT TOOLS
103 :doc:`HIPIFY <hipify:index>` 19.0.0.25104 18.0.0.25012 18.0.0.25012 18.0.0.24491 18.0.0.24455 18.0.0.24392 18.0.0.24355 18.0.0.24355 18.0.0.24232 17.0.0.24193 17.0.0.24193 17.0.0.24154 17.0.0.24103 17.0.0.24012 17.0.0.23483
104 :doc:`ROCm CMake <rocmcmakebuildtools:index>` 0.14.0 0.14.0 0.14.0 0.14.0 0.14.0 0.13.0 0.13.0 0.13.0 0.13.0 0.12.0 0.12.0 0.12.0 0.12.0 0.11.0 0.11.0
105 :doc:`ROCdbgapi <rocdbgapi:index>` 0.77.2 0.77.0 0.77.0 0.77.0 0.77.0 0.76.0 0.76.0 0.76.0 0.76.0 0.71.0 0.71.0 0.71.0 0.71.0 0.71.0 0.71.0
106 :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>` 15.2.0 15.2.0 15.2.0 15.2.0 15.2.0 14.2.0 14.2.0 14.2.0 14.2.0 14.1.0 14.1.0 14.1.0 14.1.0 13.2.0 13.2.0
107 `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_ 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.4.0 0.3.0 0.3.0 0.3.0 0.3.0 N/A N/A
108 :doc:`ROCr Debug Agent <rocr_debug_agent:index>` 2.0.4 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3 2.0.3
109
110 COMPILERS .. _compilers-support-compatibility-matrix-past-60:
111 `clang-ocl <https://github.com/ROCm/clang-ocl>`_ N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.5.0 0.5.0 0.5.0 0.5.0 0.5.0 0.5.0
112 :doc:`hipCC <hipcc:index>` 1.1.1 1.1.1 1.1.1 1.1.1 1.1.1 1.1.1 1.1.1 1.1.1 1.1.1 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0 1.0.0
113 `Flang <https://github.com/ROCm/flang>`_ 19.0.0.25133 18.0.0.25012 18.0.0.25012 18.0.0.24491 18.0.0.24455 18.0.0.24392 18.0.0.24355 18.0.0.24355 18.0.0.24232 17.0.0.24193 17.0.0.24193 17.0.0.24154 17.0.0.24103 17.0.0.24012 17.0.0.23483
114 :doc:`llvm-project <llvm-project:index>` 19.0.0.25133 18.0.0.25012 18.0.0.25012 18.0.0.24491 18.0.0.24491 18.0.0.24392 18.0.0.24355 18.0.0.24355 18.0.0.24232 17.0.0.24193 17.0.0.24193 17.0.0.24154 17.0.0.24103 17.0.0.24012 17.0.0.23483
115 `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_ 19.0.0.25133 18.0.0.25012 18.0.0.25012 18.0.0.24491 18.0.0.24491 18.0.0.24392 18.0.0.24355 18.0.0.24355 18.0.0.24232 17.0.0.24193 17.0.0.24193 17.0.0.24154 17.0.0.24103 17.0.0.24012 17.0.0.23483
116
117 RUNTIMES .. _runtime-support-compatibility-matrix-past-60:
118 :doc:`AMD CLR <hip:understand/amd_clr>` 6.4.43482 6.3.42134 6.3.42134 6.3.42133 6.3.42131 6.2.41134 6.2.41134 6.2.41134 6.2.41133 6.1.40093 6.1.40093 6.1.40092 6.1.40091 6.1.32831 6.1.32830
119 :doc:`HIP <hip:index>` 6.4.43482 6.3.42134 6.3.42134 6.3.42133 6.3.42131 6.2.41134 6.2.41134 6.2.41134 6.2.41133 6.1.40093 6.1.40093 6.1.40092 6.1.40091 6.1.32831 6.1.32830
120 `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_ 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0 2.0.0
121 :doc:`ROCr Runtime <rocr-runtime:index>` 1.15.0 1.14.0 1.14.0 1.14.0 1.14.0 1.14.0 1.14.0 1.14.0 1.13.0 1.13.0 1.13.0 1.13.0 1.13.0 1.12.0 1.12.0

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@@ -1,233 +0,0 @@
.. meta::
:description: ROCm compatibility matrix
:keywords: GPU, architecture, hardware, compatibility, system, requirements, components, libraries
**************************************************************************************
Compatibility matrix
**************************************************************************************
Use this matrix to view the ROCm compatibility and system requirements across successive major and minor releases.
You can also refer to the :ref:`past versions of ROCm compatibility matrix<past-rocm-compatibility-matrix>`.
Accelerators and GPUs listed in the following table support compute workloads (no display
information or graphics). If youre using ROCm with AMD Radeon or Radeon Pro GPUs for graphics
workloads, see the `Use ROCm on Radeon GPU documentation
<https://rocm.docs.amd.com/projects/radeon/en/latest/docs/compatibility.html>`_ to verify
compatibility and system requirements.
.. |br| raw:: html
<br/>
.. container:: format-big-table
.. csv-table::
:header: "ROCm Version", "6.4.0", "6.3.3", "6.2.0"
:stub-columns: 1
:ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04
,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4"
,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3"
,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9"
,"SLES 15 SP6","SLES 15 SP6, SP5","SLES 15 SP6, SP5"
,"Oracle Linux 9, 8 [#mi300x]_",Oracle Linux 8.10 [#mi300x]_,Oracle Linux 8.9 [#mi300x]_
,Debian 12 [#single-node]_,Debian 12 [#single-node]_,
,Azure Linux 3.0 [#mi300x]_,Azure Linux 3.0 [#mi300x]_,
,.. _architecture-support-compatibility-matrix:,,
:doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3
,CDNA2,CDNA2,CDNA2
,CDNA,CDNA,CDNA
,RDNA3,RDNA3,RDNA3
,RDNA2,RDNA2,RDNA2
,.. _gpu-support-compatibility-matrix:,,
:doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100
,gfx1030,gfx1030,gfx1030
,gfx942,gfx942,gfx942 [#mi300_620]_
,gfx90a,gfx90a,gfx90a
,gfx908,gfx908,gfx908
,,,
FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.3, 2.2, 2.1, 2.0, 1.13"
:doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1"
:doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.31,0.4.26
`ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.20,1.17.3,1.17.3
,,,
THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix:,,
`UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0
`UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0
,,,
THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix:,,
Thrust,2.5.0,2.3.2,2.2.0
CUB,2.5.0,2.3.2,2.2.0
,,,
KMD & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
KMD versions,"6.4.x, 6.3.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x"
,,,
ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix:,,
:doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0
:doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.11.0,2.10.0
:doc:`MIOpen <miopen:index>`,3.4.0,3.3.0,3.2.0
:doc:`MIVisionX <mivisionx:index>`,3.2.0,3.1.0,3.0.0
:doc:`rocAL <rocal:index>`,2.2.0,2.1.0,1.0.0
:doc:`rocDecode <rocdecode:index>`,0.10.0,0.8.0,0.6.0
:doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.6.0,N/A
:doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.2.0,0.1.0
:doc:`RPP <rpp:index>`,1.9.10,1.9.1,1.8.0
,,,
COMMUNICATION,.. _commlibs-support-compatibility-matrix:,,
:doc:`RCCL <rccl:index>`,2.22.3,2.21.5,2.20.5
`rocSHMEM <https://github.com/ROCm/rocSHMEM>`_ ,2.0.0,N/A,N/A
,,,
MATH LIBS,.. _mathlibs-support-compatibility-matrix:,,
`half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0
:doc:`hipBLAS <hipblas:index>`,2.4.0,2.3.0,2.2.0
:doc:`hipBLASLt <hipblaslt:index>`,0.12.0,0.10.0,0.8.0
:doc:`hipFFT <hipfft:index>`,1.0.18,1.0.17,1.0.14
:doc:`hipfort <hipfort:index>`,0.6.0,0.5.1,0.4.0
:doc:`hipRAND <hiprand:index>`,2.12.0,2.11.1,2.11.0
:doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.3.0,2.2.0
:doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.1.2,3.1.1
:doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.2,0.2.1
:doc:`rocALUTION <rocalution:index>`,3.2.2,3.2.1,3.2.0
:doc:`rocBLAS <rocblas:index>`,4.4.0,4.3.0,4.2.0
:doc:`rocFFT <rocfft:index>`,1.0.32,1.0.31,1.0.28
:doc:`rocRAND <rocrand:index>`,3.3.0,3.2.0,3.1.0
:doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.27.0,3.26.0
:doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.3.0,3.2.0
:doc:`rocWMMA <rocwmma:index>`,1.7.0,1.6.0,1.5.0
:doc:`Tensile <tensile:src/index>`,4.43.0,4.42.0,4.41.0
,,,
PRIMITIVES,.. _primitivelibs-support-compatibility-matrix:,,
:doc:`hipCUB <hipcub:index>`,3.4.0,3.3.0,3.2.0
:doc:`hipTensor <hiptensor:index>`,1.5.0,1.4.0,1.3.0
:doc:`rocPRIM <rocprim:index>`,3.4.0,3.3.0,3.2.0
:doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.0.1
,,,
SUPPORT LIBS,,,
`hipother <https://github.com/ROCm/hipother>`_,6.4.43482,6.3.42134,6.2.41133
`rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.0,6.3.3,6.2.0
`ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_,20240607.1.4246
,,,
SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix:,,
:doc:`AMD SMI <amdsmi:index>`,25.3.0,24.7.1,24.6.2
:doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0
:doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0
:doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.4.0,7.3.0
:doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.0.60200
,,,
PERFORMANCE TOOLS,,,
:doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0
:doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.0.0,2.0.1
:doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.0,0.1.2,1.11.2
:doc:`ROCProfiler <rocprofiler:index>`,2.0.60400,2.0.60303,2.0.60200
:doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.5.0,0.4.0
:doc:`ROCTracer <roctracer:index>`,4.1.60400,4.1.60303,4.1.60200
,,,
DEVELOPMENT TOOLS,,,
:doc:`HIPIFY <hipify:index>`,19.0.0.25133,18.0.0.25012,18.0.0.24232
:doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.13.0
:doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.0,0.76.0
:doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,14.2.0
`rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0
:doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.3,2.0.3
,,,
COMPILERS,.. _compilers-support-compatibility-matrix:,,
`clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A
:doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1
`Flang <https://github.com/ROCm/flang>`_,19.0.0.25133,18.0.0.25012,18.0.0.24232
:doc:`llvm-project <llvm-project:index>`,19.0.0.25133,18.0.0.25012,18.0.0.24232
`OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25133,18.0.0.25012,18.0.0.24232
,,,
RUNTIMES,.. _runtime-support-compatibility-matrix:,,
:doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43482,6.3.42134,6.2.41133
:doc:`HIP <hip:index>`,6.4.43482,6.3.42134,6.2.41133
`OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0
:doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.14.0,1.13.0
.. rubric:: Footnotes
.. [#mi300x] Oracle Linux and Azure Linux are supported only on AMD Instinct MI300X.
.. [#single-node] Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
.. [#mi300_620] **For ROCm 6.2.0** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
.. [#kfd_support] Starting from ROCm 6.4.0, forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software is provided up to a year apart (assuming hardware support is available in both). For earlier ROCm releases, the compatibility is provided for +/- 2 releases. These are the compatibility combinations that are currently supported.
.. [#ROCT-rocr] Starting from ROCm 6.3.0, the ROCT Thunk Interface is included as part of the ROCr runtime package.
.. _OS-kernel-versions:
Operating systems, kernel and Glibc versions
*********************************************
Use this lookup table to confirm which operating system and kernel versions are supported with ROCm.
.. csv-table::
:header: "OS", "Version", "Kernel", "Glibc"
:widths: 40, 20, 30, 20
:stub-columns: 1
`Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.2, "6.8 GA, 6.11 HWE", 2.39
,,
`Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.5, "5.15 GA, 6.8 HWE", 2.35
,,
`Red Hat Enterprise Linux (RHEL 9) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.5, 5.14+, 2.34
,9.4, 5.14+, 2.34
,9.3, 5.14+, 2.34
,,
`Red Hat Enterprise Linux (RHEL 8) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0+, 2.28
,8.9, 4.18.0, 2.28
,,
`SUSE Linux Enterprise Server (SLES) <https://www.suse.com/support/kb/doc/?id=000019587#SLE15SP4>`_, 15 SP6, "6.5.0+, 6.4.0", 2.38
,15 SP5, 5.14.21, 2.31
,,
`Oracle Linux <https://blogs.oracle.com/scoter/post/oracle-linux-and-unbreakable-enterprise-kernel-uek-releases>`_, 9, 5.15.0 (UEK), 2.35
,8, 5.15.0 (UEK), 2.28
,,
`Debian <https://www.debian.org/download>`_,12, 6.1, 2.36
,,
`Azure Linux <https://techcommunity.microsoft.com/blog/linuxandopensourceblog/azure-linux-3-0-now-in-preview-on-azure-kubernetes-service-v1-31/4287229>`_,3.0, 6.6.60, 2.38
,,
.. note::
* See `Red Hat Enterprise Linux Release Dates <https://access.redhat.com/articles/3078>`_ to learn about the specific kernel versions supported on Red Hat Enterprise Linux (RHEL).
* See `List of SUSE Linux Enterprise Server kernel <https://www.suse.com/support/kb/doc/?id=000019587>`_ to learn about the specific kernel version supported on SUSE Linux Enterprise Server (SLES).
..
Footnotes and ref anchors in below historical tables should be appended with "-past-60", to differentiate from the
footnote references in the above, latest, compatibility matrix. It also allows to easily find & replace.
An easy way to work is to download the historical.CSV file, and update open it in excel. Then when content is ready,
delete the columns you don't need, to build the current compatibility matrix to use in above table. Find & replace all
instances of "-past-60" to make it ready for above table.
.. _past-rocm-compatibility-matrix:
Past versions of ROCm compatibility matrix
***************************************************
Expand for full historical view of:
.. dropdown:: ROCm 6.0 - Present
You can `download the entire .csv <../downloads/compatibility-matrix-historical-6.0.csv>`_ for offline reference.
.. csv-table::
:file: compatibility-matrix-historical-6.0.csv
:header-rows: 1
:stub-columns: 1
.. rubric:: Footnotes
.. [#mi300x-past-60] Oracle Linux and Azure Linux are supported only on AMD Instinct MI300X.
.. [#single-node-past-60] Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
.. [#mi300_624-past-60] **For ROCm 6.2.4** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
.. [#mi300_622-past-60] **For ROCm 6.2.2** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
.. [#mi300_621-past-60] **For ROCm 6.2.1** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
.. [#mi300_620-past-60] **For ROCm 6.2.0** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
.. [#mi300_612-past-60] **For ROCm 6.1.2** - MI300A (gfx942) is supported on Ubuntu 22.04.4, RHEL 9.4, RHEL 9.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.4 and Oracle Linux.
.. [#mi300_611-past-60] **For ROCm 6.1.1** - MI300A (gfx942) is supported on Ubuntu 22.04.4, RHEL 9.4, RHEL 9.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.4 and Oracle Linux.
.. [#mi300_610-past-60] **For ROCm 6.1.0** - MI300A (gfx942) is supported on Ubuntu 22.04.4, RHEL 9.4, RHEL 9.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.4.
.. [#mi300_602-past-60] **For ROCm 6.0.2** - MI300A (gfx942) is supported on Ubuntu 22.04.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.3.
.. [#mi300_600-past-60] **For ROCm 6.0.0** - MI300A (gfx942) is supported on Ubuntu 22.04.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.3.
.. [#kfd_support-past-60] Starting from ROCm 6.4.0, forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software is provided up to a year apart (assuming hardware support is available in both). For earlier ROCm releases, the compatibility is provided for +/- 2 releases. These are the compatibility combinations that are currently supported.
.. [#ROCT-rocr-past-60] Starting from ROCm 6.3.0, the ROCT Thunk Interface is included as part of the ROCr runtime package.

View File

@@ -1,519 +0,0 @@
:orphan:
.. meta::
:description: JAX compatibility
:keywords: GPU, JAX compatibility
.. version-set:: rocm_version latest
*******************************************************************************
JAX compatibility
*******************************************************************************
JAX provides a NumPy-like API, which combines automatic differentiation and the
Accelerated Linear Algebra (XLA) compiler to achieve high-performance machine
learning at scale.
JAX uses composable transformations of Python and NumPy through just-in-time
(JIT) compilation, automatic vectorization, and parallelization. To learn about
JAX, including profiling and optimizations, see the official `JAX documentation
<https://jax.readthedocs.io/en/latest/notebooks/quickstart.html>`_.
ROCm support for JAX is upstreamed, and users can build the official source code
with ROCm support:
- ROCm JAX release:
- Offers AMD-validated and community :ref:`Docker images <jax-docker-compat>`
with ROCm and JAX preinstalled.
- ROCm JAX repository: `ROCm/jax <https://github.com/ROCm/jax>`_
- See the :doc:`ROCm JAX installation guide <rocm-install-on-linux:install/3rd-party/jax-install>`
to get started.
- Official JAX release:
- Official JAX repository: `jax-ml/jax <https://github.com/jax-ml/jax>`_
- See the `AMD GPU (Linux) installation section
<https://jax.readthedocs.io/en/latest/installation.html#amd-gpu-linux>`_ in
the JAX documentation.
.. note::
AMD releases official `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
quarterly alongside new ROCm releases. These images undergo full AMD testing.
`Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
follow upstream JAX releases and use the latest available ROCm version.
Use cases and recommendations
================================================================================
* The `nanoGPT in JAX <https://rocm.blogs.amd.com/artificial-intelligence/nanoGPT-JAX/README.html>`_
blog explores the implementation and training of a Generative Pre-trained
Transformer (GPT) model in JAX, inspired by Andrej Karpathys JAX-based
nanoGPT. Comparing how essential GPT components—such as self-attention
mechanisms and optimizers—are realized in JAX and JAX, also highlights
JAXs unique features.
* The `Optimize GPT Training: Enabling Mixed Precision Training in JAX using
ROCm on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-mixed-precision/README.html>`_
blog post provides a comprehensive guide on enhancing the training efficiency
of GPT models by implementing mixed precision techniques in JAX, specifically
tailored for AMD GPUs utilizing the ROCm platform.
* The `Supercharging JAX with Triton Kernels on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-triton/README.html>`_
blog demonstrates how to develop a custom fused dropout-activation kernel for
matrices using Triton, integrate it with JAX, and benchmark its performance
using ROCm.
* The `Distributed fine-tuning with JAX on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/distributed-sft-jax/README.html>`_
outlines the process of fine-tuning a Bidirectional Encoder Representations
from Transformers (BERT)-based large language model (LLM) using JAX for a text
classification task. The blog post discuss techniques for parallelizing the
fine-tuning across multiple AMD GPUs and assess the model's performance on a
holdout dataset. During the fine-tuning, a BERT-base-cased transformer model
and the General Language Understanding Evaluation (GLUE) benchmark dataset was
used on a multi-GPU setup.
* The `MI300X workload optimization guide <https://rocm.docs.amd.com/en/latest/how-to/tuning-guides/mi300x/workload.html>`_
provides detailed guidance on optimizing workloads for the AMD Instinct MI300X
accelerator using ROCm. The page is aimed at helping users achieve optimal
performance for deep learning and other high-performance computing tasks on
the MI300X GPU.
For more use cases and recommendations, see `ROCm JAX blog posts <https://rocm.blogs.amd.com/blog/tag/jax.html>`_.
.. _jax-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes ready-made `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
with ROCm backends on Docker Hub. The following Docker image tags and
associated inventories represent the latest JAX version from the official Docker Hub and are validated for
`ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click the |docker-icon|
icon to view the image on Docker Hub.
.. list-table:: JAX Docker image components
:header-rows: 1
* - Docker image
- JAX
- Linux
- Python
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4-jax0.4.35-py3.12/images/sha256-4069398229078f3311128b6d276c6af377c7e97d3363d020b0bf7154fae619ca"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
- `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
- Ubuntu 24.04
- `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4-jax0.4.35-py3.10/images/sha256-a137f901f91ce6c13b424c40a6cf535248d4d20fd36d5daf5eee0570190a4a11"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
- `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
- Ubuntu 22.04
- `3.10.14 <https://www.python.org/downloads/release/python-31014/>`_
AMD publishes `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
with ROCm backends on Docker Hub. The following Docker image tags and
associated inventories are tested for `ROCm 6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_.
.. list-table:: JAX community Docker image components
:header-rows: 1
* - Docker image
- JAX
- Linux
- Python
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.12.8/images/sha256-25dfaa0183e274bd0a3554a309af3249c6f16a1793226cb5373f418e39d3146a"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
- `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
- Ubuntu 22.04
- `3.12.8 <https://www.python.org/downloads/release/python-3128/>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.11.11/images/sha256-ff9baeca9067d13e6c279c911e5a9e5beed0817d24fafd424367cc3d5bd381d7"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
- `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
- Ubuntu 22.04
- `3.11.11 <https://www.python.org/downloads/release/python-31111/>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.10.16/images/sha256-8bab484be1713655f74da51a191ed824bb9d03db1104fd63530a1ac3c37cf7b1"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
- `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
- Ubuntu 22.04
- `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
Key ROCm libraries for JAX
================================================================================
JAX functionality on ROCm is determined by its underlying library
dependencies. These ROCm components affect the capabilities, performance, and
feature set available to developers.
.. list-table::
:header-rows: 1
* - ROCm library
- Version
- Purpose
- Used in
* - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
- :version-ref:`hipBLAS rocm_version`
- Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
matrix and vector operations.
- Matrix multiplication in ``jax.numpy.matmul``, ``jax.lax.dot`` and
``jax.lax.dot_general``, operations like ``jax.numpy.dot``, which
involve vector and matrix computations and batch matrix multiplications
``jax.numpy.einsum`` with matrix-multiplication patterns algebra
operations.
* - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
- :version-ref:`hipBLASLt rocm_version`
- hipBLASLt is an extension of hipBLAS, providing additional
features like epilogues fused into the matrix multiplication kernel or
use of integer tensor cores.
- Matrix multiplication in ``jax.numpy.matmul`` or ``jax.lax.dot``, and
the XLA (Accelerated Linear Algebra) use hipBLASLt for optimized matrix
operations, mixed-precision support, and hardware-specific
optimizations.
* - `hipCUB <https://github.com/ROCm/hipCUB>`_
- :version-ref:`hipCUB rocm_version`
- Provides a C++ template library for parallel algorithms for reduction,
scan, sort and select.
- Reduction functions (``jax.numpy.sum``, ``jax.numpy.mean``,
``jax.numpy.prod``, ``jax.numpy.max`` and ``jax.numpy.min``), prefix sum
(``jax.numpy.cumsum``, ``jax.numpy.cumprod``) and sorting
(``jax.numpy.sort``, ``jax.numpy.argsort``).
* - `hipFFT <https://github.com/ROCm/hipFFT>`_
- :version-ref:`hipFFT rocm_version`
- Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
- Used in functions like ``jax.numpy.fft``.
* - `hipRAND <https://github.com/ROCm/hipRAND>`_
- :version-ref:`hipRAND rocm_version`
- Provides fast random number generation for GPUs.
- The ``jax.random.uniform``, ``jax.random.normal``,
``jax.random.randint`` and ``jax.random.split``.
* - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
- :version-ref:`hipSOLVER rocm_version`
- Provides GPU-accelerated solvers for linear systems, eigenvalues, and
singular value decompositions (SVD).
- Solving linear systems (``jax.numpy.linalg.solve``), matrix
factorizations, SVD (``jax.numpy.linalg.svd``) and eigenvalue problems
(``jax.numpy.linalg.eig``).
* - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
- :version-ref:`hipSPARSE rocm_version`
- Accelerates operations on sparse matrices, such as sparse matrix-vector
or matrix-matrix products.
- Sparse matrix multiplication (``jax.numpy.matmul``), sparse
matrix-vector and matrix-matrix products
(``jax.experimental.sparse.dot``), sparse linear system solvers and
sparse data handling.
* - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
- :version-ref:`hipSPARSELt rocm_version`
- Accelerates operations on sparse matrices, such as sparse matrix-vector
or matrix-matrix products.
- Sparse matrix multiplication (``jax.numpy.matmul``), sparse
matrix-vector and matrix-matrix products
(``jax.experimental.sparse.dot``) and sparse linear system solvers.
* - `MIOpen <https://github.com/ROCm/MIOpen>`_
- :version-ref:`MIOpen rocm_version`
- Optimized for deep learning primitives such as convolutions, pooling,
normalization, and activation functions.
- Speeds up convolutional neural networks (CNNs), recurrent neural
networks (RNNs), and other layers. Used in operations like
``jax.nn.conv``, ``jax.nn.relu``, and ``jax.nn.batch_norm``.
* - `RCCL <https://github.com/ROCm/rccl>`_
- :version-ref:`RCCL rocm_version`
- Optimized for multi-GPU communication for operations like all-reduce,
broadcast, and scatter.
- Distribute computations across multiple GPU with ``pmap`` and
``jax.distributed``. XLA automatically uses rccl when executing
operations across multiple GPUs on AMD hardware.
* - `rocThrust <https://github.com/ROCm/rocThrust>`_
- :version-ref:`rocThrust rocm_version`
- Provides a C++ template library for parallel algorithms like sorting,
reduction, and scanning.
- Reduction operations like ``jax.numpy.sum``, ``jax.pmap`` for
distributed training, which involves parallel reductions or
operations like ``jax.numpy.cumsum`` can use rocThrust.
Supported features
===============================================================================
The following table maps the public JAX API modules to their supported
ROCm and JAX versions.
.. list-table::
:header-rows: 1
* - Module
- Description
- As of JAX
- As of ROCm
* - ``jax.numpy``
- Implements the NumPy API, using the primitives in ``jax.lax``.
- 0.1.56
- 5.0.0
* - ``jax.scipy``
- Provides GPU-accelerated and differentiable implementations of many
functions from the SciPy library, leveraging JAX's transformations
(e.g., ``grad``, ``jit``, ``vmap``).
- 0.1.56
- 5.0.0
* - ``jax.lax``
- A library of primitives operations that underpins libraries such as
``jax.numpy.`` Transformation rules, such as Jacobian-vector product
(JVP) and batching rules, are typically defined as transformations on
``jax.lax`` primitives.
- 0.1.57
- 5.0.0
* - ``jax.random``
- Provides a number of routines for deterministic generation of sequences
of pseudorandom numbers.
- 0.1.58
- 5.0.0
* - ``jax.sharding``
- Allows to define partitioning and distributing arrays across multiple
devices.
- 0.3.20
- 5.1.0
* - ``jax.distributed``
- Enables the scaling of computations across multiple devices on a single
machine or across multiple machines.
- 0.1.74
- 5.0.0
* - ``jax.image``
- Contains image manipulation functions like resize, scale and translation.
- 0.1.57
- 5.0.0
* - ``jax.nn``
- Contains common functions for neural network libraries.
- 0.1.56
- 5.0.0
* - ``jax.ops``
- Computes the minimum, maximum, sum or product within segments of an
array.
- 0.1.57
- 5.0.0
* - ``jax.stages``
- Contains interfaces to stages of the compiled execution process.
- 0.3.4
- 5.0.0
* - ``jax.extend``
- Provides modules for access to JAX internal machinery module. The
``jax.extend`` module defines a library view of some of JAXs internal
components.
- 0.4.15
- 5.5.0
* - ``jax.example_libraries``
- Serves as a collection of example code and libraries that demonstrate
various capabilities of JAX.
- 0.1.74
- 5.0.0
* - ``jax.experimental``
- Namespace for experimental features and APIs that are in development or
are not yet fully stable for production use.
- 0.1.56
- 5.0.0
* - ``jax.lib``
- Set of internal tools and types for bridging between JAXs Python
frontend and its XLA backend.
- 0.4.6
- 5.3.0
* - ``jax_triton``
- Library that integrates the Triton deep learning compiler with JAX.
- jax_triton 0.2.0
- 6.2.4
jax.scipy module
-------------------------------------------------------------------------------
A SciPy-like API for scientific computing.
.. list-table::
:header-rows: 1
* - Module
- As of JAX
- As of ROCm
* - ``jax.scipy.cluster``
- 0.3.11
- 5.1.0
* - ``jax.scipy.fft``
- 0.1.71
- 5.0.0
* - ``jax.scipy.integrate``
- 0.4.15
- 5.5.0
* - ``jax.scipy.interpolate``
- 0.1.76
- 5.0.0
* - ``jax.scipy.linalg``
- 0.1.56
- 5.0.0
* - ``jax.scipy.ndimage``
- 0.1.56
- 5.0.0
* - ``jax.scipy.optimize``
- 0.1.57
- 5.0.0
* - ``jax.scipy.signal``
- 0.1.56
- 5.0.0
* - ``jax.scipy.spatial.transform``
- 0.4.12
- 5.4.0
* - ``jax.scipy.sparse.linalg``
- 0.1.56
- 5.0.0
* - ``jax.scipy.special``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats``
- 0.1.56
- 5.0.0
jax.scipy.stats module
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. list-table::
:header-rows: 1
* - Module
- As of JAX
- As of ROCm
* - ``jax.scipy.stats.bernouli``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.beta``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.betabinom``
- 0.1.61
- 5.0.0
* - ``jax.scipy.stats.binom``
- 0.4.14
- 5.4.0
* - ``jax.scipy.stats.cauchy``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.chi2``
- 0.1.61
- 5.0.0
* - ``jax.scipy.stats.dirichlet``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.expon``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.gamma``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.gennorm``
- 0.3.15
- 5.2.0
* - ``jax.scipy.stats.geom``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.laplace``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.logistic``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.multinomial``
- 0.3.18
- 5.1.0
* - ``jax.scipy.stats.multivariate_normal``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.nbinom``
- 0.1.72
- 5.0.0
* - ``jax.scipy.stats.norm``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.pareto``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.poisson``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.t``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.truncnorm``
- 0.4.0
- 5.3.0
* - ``jax.scipy.stats.uniform``
- 0.1.56
- 5.0.0
* - ``jax.scipy.stats.vonmises``
- 0.4.2
- 5.3.0
* - ``jax.scipy.stats.wrapcauchy``
- 0.4.20
- 5.6.0
jax.extend module
-------------------------------------------------------------------------------
Modules for JAX extensions.
.. list-table::
:header-rows: 1
* - Module
- As of JAX
- As of ROCm
* - ``jax.extend.ffi``
- 0.4.30
- 6.0.0
* - ``jax.extend.linear_util``
- 0.4.17
- 5.6.0
* - ``jax.extend.mlir``
- 0.4.26
- 5.6.0
* - ``jax.extend.random``
- 0.4.15
- 5.5.0
Unsupported JAX features
===============================================================================
The following GPU-accelerated JAX features are not supported by ROCm for
the listed supported JAX versions.
.. list-table::
:header-rows: 1
* - Feature
- Description
* - Mixed Precision with TF32
- Mixed precision with TF32 is used for matrix multiplications,
convolutions, and other linear algebra operations, particularly in
deep learning workloads like CNNs and transformers.
* - XLA int4 support
- 4-bit integer (int4) precision in the XLA compiler.
* - MOSAIC (GPU)
- Mosaic is a library of kernel-building abstractions for JAX's Pallas system

View File

@@ -1,953 +0,0 @@
:orphan:
.. meta::
:description: PyTorch compatibility
:keywords: GPU, PyTorch compatibility
.. version-set:: rocm_version latest
********************************************************************************
PyTorch compatibility
********************************************************************************
`PyTorch <https://pytorch.org/>`_ is an open-source tensor library designed for
deep learning. PyTorch on ROCm provides mixed-precision and large-scale training
using `MIOpen <https://github.com/ROCm/MIOpen>`_ and
`RCCL <https://github.com/ROCm/rccl>`_ libraries.
ROCm support for PyTorch is upstreamed into the official PyTorch repository. Due
to independent compatibility considerations, this results in two distinct
release cycles for PyTorch on ROCm:
- ROCm PyTorch release:
- Provides the latest version of ROCm but might not necessarily support the
latest stable PyTorch version.
- Offers :ref:`Docker images <pytorch-docker-compat>` with ROCm and PyTorch
preinstalled.
- ROCm PyTorch repository: `<https://github.com/ROCm/pytorch>`_
- See the :doc:`ROCm PyTorch installation guide <rocm-install-on-linux:install/3rd-party/pytorch-install>`
to get started.
- Official PyTorch release:
- Provides the latest stable version of PyTorch but might not necessarily
support the latest ROCm version.
- Official PyTorch repository: `<https://github.com/pytorch/pytorch>`_
- See the `Nightly and latest stable version installation guide <https://pytorch.org/get-started/locally/>`_
or `Previous versions <https://pytorch.org/get-started/previous-versions/>`_
to get started.
PyTorch includes tooling that generates HIP source code from the CUDA backend.
This approach allows PyTorch to support ROCm without requiring manual code
modifications. For more information, see :doc:`HIPIFY <hipify:index>`.
ROCm development is aligned with the stable release of PyTorch, while upstream
PyTorch testing uses the stable release of ROCm to maintain consistency.
.. _pytorch-recommendations:
Use cases and recommendations
================================================================================
* :doc:`Using ROCm for AI: training a model </how-to/rocm-for-ai/training/benchmark-docker/pytorch-training>`
guides how to leverage the ROCm platform for training AI models. It covers the
steps, tools, and best practices for optimizing training workflows on AMD GPUs
using PyTorch features.
* :doc:`Single-GPU fine-tuning and inference </how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference>`
describes and demonstrates how to use the ROCm platform for the fine-tuning
and inference of machine learning models, particularly large language models
(LLMs), on systems with a single GPU. This topic provides a detailed guide for
setting up, optimizing, and executing fine-tuning and inference workflows in
such environments.
* :doc:`Multi-GPU fine-tuning and inference optimization </how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference>`
describes and demonstrates the fine-tuning and inference of machine learning
models on systems with multiple GPUs.
* The :doc:`Instinct MI300X workload optimization guide </how-to/rocm-for-ai/inference-optimization/workload>`
provides detailed guidance on optimizing workloads for the AMD Instinct MI300X
accelerator using ROCm. This guide helps users achieve optimal performance for
deep learning and other high-performance computing tasks on the MI300X
accelerator.
* The :doc:`Inception with PyTorch documentation </conceptual/ai-pytorch-inception>`
describes how PyTorch integrates with ROCm for AI workloads It outlines the
use of PyTorch on the ROCm platform and focuses on efficiently leveraging AMD
GPU hardware for training and inference tasks in AI applications.
For more use cases and recommendations, see `ROCm PyTorch blog posts <https://rocm.blogs.amd.com/blog/tag/pytorch.html>`_.
.. _pytorch-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes `PyTorch images <https://hub.docker.com/r/rocm/pytorch>`_
with ROCm backends on Docker Hub. The following Docker image tags and associated
inventories were tested on `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_.
Click |docker-icon| to view the image on Docker Hub.
.. list-table:: PyTorch Docker image components
:header-rows: 1
:class: docker-image-compatibility
* - Docker
- PyTorch
- Ubuntu
- Python
- Apex
- torchvision
- TensorBoard
- MAGMA
- UCX
- OMPI
- OFED
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.6.0/images/sha256-ab1d350b818b90123cfda31363019d11c0d41a8f12a19e3cb2cb40cf0261137d"><i class="fab fa-docker fa-lg"></i></a>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`_
- 24.04
- `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
- `1.6.0 <https://github.com/ROCm/apex/tree/release/1.6.0>`_
- `0.21.0 <https://github.com/pytorch/vision/tree/v0.21.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.6.0/images/sha256-130536fdfceb374626a7bcb8d00b9d796ddfc3115677d51229e5b852d96b5ef4"><i class="fab fa-docker fa-lg"></i></a>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`_
- 22.04
- `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `1.6.0 <https://github.com/ROCm/apex/tree/release/1.6.0>`_
- `0.21.0 <https://github.com/pytorch/vision/tree/v0.21.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.5.1/images/sha256-20a2e24b4738dc1f1a44a04f23827918b56c99f7e697e6fccb90e9c4fae8ca9b"><i class="fab fa-docker fa-lg"></i></a>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
- 24.04
- `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
- `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
- `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.11_pytorch_release_2.5.1/images/sha256-f09cb8ca39cc39222fb554060711f5c19130f7b4047aaf41fad4ba3ec470ca03"><i class="fab fa-docker fa-lg"></i></a>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
- 22.04
- `3.11.9 <https://www.python.org/downloads/release/python-3119/>`_
- `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
- `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
- `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.5.1/images/sha256-a91c100d1fe608dae3eb7f60a751630363d4027ac3d077d428e92945204c338e"><i class="fab fa-docker fa-lg"></i></a>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
- 22.04
- `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
- `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
- `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.4.1/images/sha256-66a89ce6485bb887af74bb9bd76bb613ab9834a6b1374649ea7ae379883454a4"><i class="fab fa-docker fa-lg"></i></a>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
- 24.04
- `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
- `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
- `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.4.1/images/sha256-c716cf167e6e49893f11de03606ed37044153aca089e74ca615065c06877f86b"><i class="fab fa-docker fa-lg"></i></a>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
- 22.04
- `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
- `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
- `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-0434cbc9b07b2c26e39480d7447f676f9057a1054dcff00e0050c25a6eddbd3c"><i class="fab fa-docker fa-lg"></i></a>
- `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
- 24.04
- `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
- `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
- `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-688b1c0073092615fb98778d78b16191e506097ee116a2d3d2628b264d5d367b"><i class="fab fa-docker fa-lg"></i></a>
- `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
- 22.04
- `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
- `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
- `master <https://bitbucket.org/icl/magma/src/master/>`_
- `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
- `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
- `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
Key ROCm libraries for PyTorch
================================================================================
PyTorch functionality on ROCm is determined by its underlying library
dependencies. These ROCm components affect the capabilities, performance, and
feature set available to developers.
.. list-table::
:header-rows: 1
* - ROCm library
- Version
- Purpose
- Used in
* - `Composable Kernel <https://github.com/ROCm/composable_kernel>`_
- :version-ref:`"Composable Kernel" rocm_version`
- Enables faster execution of core operations like matrix multiplication
(GEMM), convolutions and transformations.
- Speeds up ``torch.permute``, ``torch.view``, ``torch.matmul``,
``torch.mm``, ``torch.bmm``, ``torch.nn.Conv2d``, ``torch.nn.Conv3d``
and ``torch.nn.MultiheadAttention``.
* - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
- :version-ref:`hipBLAS rocm_version`
- Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
matrix and vector operations.
- Supports operations such as matrix multiplication, matrix-vector
products, and tensor contractions. Utilized in both dense and batched
linear algebra operations.
* - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
- :version-ref:`hipBLASLt rocm_version`
- hipBLASLt is an extension of the hipBLAS library, providing additional
features like epilogues fused into the matrix multiplication kernel or
use of integer tensor cores.
- Accelerates operations such as ``torch.matmul``, ``torch.mm``, and the
matrix multiplications used in convolutional and linear layers.
* - `hipCUB <https://github.com/ROCm/hipCUB>`_
- :version-ref:`hipCUB rocm_version`
- Provides a C++ template library for parallel algorithms for reduction,
scan, sort and select.
- Supports operations such as ``torch.sum``, ``torch.cumsum``,
``torch.sort`` irregular shapes often involve scanning, sorting, and
filtering, which hipCUB handles efficiently.
* - `hipFFT <https://github.com/ROCm/hipFFT>`_
- :version-ref:`hipFFT rocm_version`
- Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
- Used in functions like the ``torch.fft`` module.
* - `hipRAND <https://github.com/ROCm/hipRAND>`_
- :version-ref:`hipRAND rocm_version`
- Provides fast random number generation for GPUs.
- The ``torch.rand``, ``torch.randn``, and stochastic layers like
``torch.nn.Dropout`` rely on hipRAND.
* - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
- :version-ref:`hipSOLVER rocm_version`
- Provides GPU-accelerated solvers for linear systems, eigenvalues, and
singular value decompositions (SVD).
- Supports functions like ``torch.linalg.solve``,
``torch.linalg.eig``, and ``torch.linalg.svd``.
* - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
- :version-ref:`hipSPARSE rocm_version`
- Accelerates operations on sparse matrices, such as sparse matrix-vector
or matrix-matrix products.
- Sparse tensor operations ``torch.sparse``.
* - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
- :version-ref:`hipSPARSELt rocm_version`
- Accelerates operations on sparse matrices, such as sparse matrix-vector
or matrix-matrix products.
- Sparse tensor operations ``torch.sparse``.
* - `hipTensor <https://github.com/ROCm/hipTensor>`_
- :version-ref:`hipTensor rocm_version`
- Optimizes for high-performance tensor operations, such as contractions.
- Accelerates tensor algebra, especially in deep learning and scientific
computing.
* - `MIOpen <https://github.com/ROCm/MIOpen>`_
- :version-ref:`MIOpen rocm_version`
- Optimizes deep learning primitives such as convolutions, pooling,
normalization, and activation functions.
- Speeds up convolutional neural networks (CNNs), recurrent neural
networks (RNNs), and other layers. Used in operations like
``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
* - `MIGraphX <https://github.com/ROCm/AMDMIGraphX>`_
- :version-ref:`MIGraphX rocm_version`
- Adds graph-level optimizations, ONNX models and mixed precision support
and enable Ahead-of-Time (AOT) Compilation.
- Speeds up inference models and executes ONNX models for
compatibility with other frameworks.
``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
* - `MIVisionX <https://github.com/ROCm/MIVisionX>`_
- :version-ref:`MIVisionX rocm_version`
- Optimizes acceleration for computer vision and AI workloads like
preprocessing, augmentation, and inferencing.
- Faster data preprocessing and augmentation pipelines for datasets like
ImageNet or COCO and easy to integrate into PyTorch's ``torch.utils.data``
and ``torchvision`` workflows.
* - `rocAL <https://github.com/ROCm/rocAL>`_
- :version-ref:`rocAL rocm_version`
- Accelerates the data pipeline by offloading intensive preprocessing and
augmentation tasks. rocAL is part of MIVisionX.
- Easy to integrate into PyTorch's ``torch.utils.data`` and
``torchvision`` data load workloads.
* - `RCCL <https://github.com/ROCm/rccl>`_
- :version-ref:`RCCL rocm_version`
- Optimizes for multi-GPU communication for operations like AllReduce and
Broadcast.
- Distributed data parallel training (``torch.nn.parallel.DistributedDataParallel``).
Handles communication in multi-GPU setups.
* - `rocDecode <https://github.com/ROCm/rocDecode>`_
- :version-ref:`rocDecode rocm_version`
- Provides hardware-accelerated data decoding capabilities, particularly
for image, video, and other dataset formats.
- Can be integrated in ``torch.utils.data``, ``torchvision.transforms``
and ``torch.distributed``.
* - `rocJPEG <https://github.com/ROCm/rocJPEG>`_
- :version-ref:`rocJPEG rocm_version`
- Provides hardware-accelerated JPEG image decoding and encoding.
- GPU accelerated ``torchvision.io.decode_jpeg`` and
``torchvision.io.encode_jpeg`` and can be integrated in
``torch.utils.data`` and ``torchvision``.
* - `RPP <https://github.com/ROCm/RPP>`_
- :version-ref:`RPP rocm_version`
- Speeds up data augmentation, transformation, and other preprocessing steps.
- Easy to integrate into PyTorch's ``torch.utils.data`` and
``torchvision`` data load workloads to speed up data processing.
* - `rocThrust <https://github.com/ROCm/rocThrust>`_
- :version-ref:`rocThrust rocm_version`
- Provides a C++ template library for parallel algorithms like sorting,
reduction, and scanning.
- Utilized in backend operations for tensor computations requiring
parallel processing.
* - `rocWMMA <https://github.com/ROCm/rocWMMA>`_
- :version-ref:`rocWMMA rocm_version`
- Accelerates warp-level matrix-multiply and matrix-accumulate to speed up matrix
multiplication (GEMM) and accumulation operations with mixed precision
support.
- Linear layers (``torch.nn.Linear``), convolutional layers
(``torch.nn.Conv2d``), attention layers, general tensor operations that
involve matrix products, such as ``torch.matmul``, ``torch.bmm``, and
more.
Supported features
================================================================================
This section maps GPU-accelerated PyTorch features to their supported ROCm and
PyTorch versions.
torch
--------------------------------------------------------------------------------
`torch <https://pytorch.org/docs/stable/index.html>`_ is the central module of
PyTorch, providing data structures for multi-dimensional tensors and
implementing mathematical operations on them. It also includes utilities for
efficient serialization of tensors and arbitrary data types and other tools.
Tensor data types
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The tensor data type is specified using the ``dtype`` attribute or argument.
PyTorch supports many data types for different use cases.
The following table lists `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_
single data types:
.. list-table::
:header-rows: 1
* - Data type
- Description
- As of PyTorch
- As of ROCm
* - ``torch.float8_e4m3fn``
- 8-bit floating point, e4m3
- 2.3
- 5.5
* - ``torch.float8_e5m2``
- 8-bit floating point, e5m2
- 2.3
- 5.5
* - ``torch.float16`` or ``torch.half``
- 16-bit floating point
- 0.1.6
- 2.0
* - ``torch.bfloat16``
- 16-bit floating point
- 1.6
- 2.6
* - ``torch.float32`` or ``torch.float``
- 32-bit floating point
- 0.1.12_2
- 2.0
* - ``torch.float64`` or ``torch.double``
- 64-bit floating point
- 0.1.12_2
- 2.0
* - ``torch.complex32`` or ``torch.chalf``
- PyTorch provides native support for 32-bit complex numbers
- 1.6
- 2.0
* - ``torch.complex64`` or ``torch.cfloat``
- PyTorch provides native support for 64-bit complex numbers
- 1.6
- 2.0
* - ``torch.complex128`` or ``torch.cdouble``
- PyTorch provides native support for 128-bit complex numbers
- 1.6
- 2.0
* - ``torch.uint8``
- 8-bit integer (unsigned)
- 0.1.12_2
- 2.0
* - ``torch.uint16``
- 16-bit integer (unsigned)
- 2.3
- Not natively supported
* - ``torch.uint32``
- 32-bit integer (unsigned)
- 2.3
- Not natively supported
* - ``torch.uint64``
- 32-bit integer (unsigned)
- 2.3
- Not natively supported
* - ``torch.int8``
- 8-bit integer (signed)
- 1.12
- 5.0
* - ``torch.int16`` or ``torch.short``
- 16-bit integer (signed)
- 0.1.12_2
- 2.0
* - ``torch.int32`` or ``torch.int``
- 32-bit integer (signed)
- 0.1.12_2
- 2.0
* - ``torch.int64`` or ``torch.long``
- 64-bit integer (signed)
- 0.1.12_2
- 2.0
* - ``torch.bool``
- Boolean
- 1.2
- 2.0
* - ``torch.quint8``
- Quantized 8-bit integer (unsigned)
- 1.8
- 5.0
* - ``torch.qint8``
- Quantized 8-bit integer (signed)
- 1.8
- 5.0
* - ``torch.qint32``
- Quantized 32-bit integer (signed)
- 1.8
- 5.0
* - ``torch.quint4x2``
- Quantized 4-bit integer (unsigned)
- 1.8
- 5.0
.. note::
Unsigned types except ``uint8`` have limited support in eager mode. They
primarily exist to assist usage with ``torch.compile``.
See :doc:`ROCm precision support <rocm:reference/precision-support>` for the
native hardware support of data types.
torch.cuda
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
``torch.cuda`` in PyTorch is a module that provides utilities and functions for
managing and utilizing AMD and NVIDIA GPUs. It enables GPU-accelerated
computations, memory management, and efficient execution of tensor operations,
leveraging ROCm and CUDA as the underlying frameworks.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of PyTorch
- As of ROCm
* - Device management
- Utilities for managing and interacting with GPUs.
- 0.4.0
- 3.8
* - Tensor operations on GPU
- Performs tensor operations such as addition and matrix multiplications on
the GPU.
- 0.4.0
- 3.8
* - Streams and events
- Streams allow overlapping computation and communication for optimized
performance. Events enable synchronization.
- 1.6.0
- 3.8
* - Memory management
- Functions to manage and inspect memory usage like
``torch.cuda.memory_allocated()``, ``torch.cuda.max_memory_allocated()``,
``torch.cuda.memory_reserved()`` and ``torch.cuda.empty_cache()``.
- 0.3.0
- 1.9.2
* - Running process lists of memory management
- Returns a human-readable printout of the running processes and their GPU
memory use for a given device with functions like
``torch.cuda.memory_stats()`` and ``torch.cuda.memory_summary()``.
- 1.8.0
- 4.0
* - Communication collectives
- Set of APIs that enable efficient communication between multiple GPUs,
allowing for distributed computing and data parallelism.
- 1.9.0
- 5.0
* - ``torch.cuda.CUDAGraph``
- Graphs capture sequences of GPU operations to minimize kernel launch
overhead and improve performance.
- 1.10.0
- 5.3
* - TunableOp
- A mechanism that allows certain operations to be more flexible and
optimized for performance. It enables automatic tuning of kernel
configurations and other settings to achieve the best possible
performance based on the specific hardware (GPU) and workload.
- 2.0
- 5.4
* - NVIDIA Tools Extension (NVTX)
- Integration with NVTX for profiling and debugging GPU performance using
NVIDIA's Nsight tools.
- 1.8.0
- ❌
* - Lazy loading NVRTC
- Delays JIT compilation with NVRTC until the code is explicitly needed.
- 1.13.0
- ❌
* - Jiterator (beta)
- Jiterator allows asynchronous data streaming into computation streams
during training loops.
- 1.13.0
- 5.2
.. Need to validate and extend.
torch.backends.cuda
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
``torch.backends.cuda`` is a PyTorch module that provides configuration options
and flags to control the behavior of ROCm or CUDA operations. It is part of the
PyTorch backend configuration system, which allows users to fine-tune how
PyTorch interacts with the ROCm or CUDA environment.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of PyTorch
- As of ROCm
* - ``cufft_plan_cache``
- Manages caching of GPU FFT plans to optimize repeated FFT computations.
- 1.7.0
- 5.0
* - ``matmul.allow_tf32``
- Enables or disables the use of TensorFloat-32 (TF32) precision for
faster matrix multiplications on GPUs with Tensor Cores.
- 1.10.0
- ❌
* - ``matmul.allow_fp16_reduced_precision_reduction``
- Reduced precision reductions (e.g., with fp16 accumulation type) are
allowed with fp16 GEMMs.
- 2.0
- ❌
* - ``matmul.allow_bf16_reduced_precision_reduction``
- Reduced precision reductions are allowed with bf16 GEMMs.
- 2.0
- ❌
* - ``enable_cudnn_sdp``
- Globally enables cuDNN SDPA's kernels within SDPA.
- 2.0
- ❌
* - ``enable_flash_sdp``
- Globally enables or disables FlashAttention for SDPA.
- 2.1
- ❌
* - ``enable_mem_efficient_sdp``
- Globally enables or disables Memory-Efficient Attention for SDPA.
- 2.1
- ❌
* - ``enable_math_sdp``
- Globally enables or disables the PyTorch C++ implementation within SDPA.
- 2.1
- ❌
.. Need to validate and extend.
torch.backends.cudnn
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Supported ``torch`` options include:
.. list-table::
:header-rows: 1
* - Option
- Description
- As of PyTorch
- As of ROCm
* - ``allow_tf32``
- TensorFloat-32 tensor cores may be used in cuDNN convolutions on NVIDIA
Ampere or newer GPUs.
- 1.12.0
- ❌
* - ``deterministic``
- A bool that, if True, causes cuDNN to only use deterministic
convolution algorithms.
- 1.12.0
- 6.0
Automatic mixed precision: torch.amp
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PyTorch automates the process of using both 16-bit (half-precision, float16) and
32-bit (single-precision, float32) floating-point types in model training and
inference.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of PyTorch
- As of ROCm
* - Autocasting
- Autocast instances serve as context managers or decorators that allow
regions of your script to run in mixed precision.
- 1.9
- 2.5
* - Gradient scaling
- To prevent underflow, “gradient scaling” multiplies the networks
loss by a scale factor and invokes a backward pass on the scaled
loss. The same factor then scales gradients flowing backward through
the network. In other words, gradient values have a larger magnitude so
that they dont flush to zero.
- 1.9
- 2.5
* - CUDA op-specific behavior
- These ops always go through autocasting whether they are invoked as part
of a ``torch.nn.Module``, as a function, or as a ``torch.Tensor`` method. If
functions are exposed in multiple namespaces, they go through
autocasting regardless of the namespace.
- 1.9
- 2.5
Distributed library features
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PyTorch distributed library includes a collective of parallelism modules, a
communications layer, and infrastructure for launching and debugging large
training jobs. See :ref:`rocm-for-ai-pytorch-distributed` for more information.
The Distributed Library feature in PyTorch provides tools and APIs for building
and running distributed machine learning workflows. It allows training models
across multiple processes, GPUs, or nodes in a cluster, enabling efficient use
of computational resources and scalability for large-scale tasks.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of PyTorch
- As of ROCm
* - TensorPipe
- A point-to-point communication library integrated into
PyTorch for distributed training. It handles tensor data transfers
efficiently between different processes or devices, including those on
separate machines.
- 1.8
- 5.4
* - Gloo
- Designed for multi-machine and multi-GPU setups, enabling
efficient communication and synchronization between processes. Gloo is
one of the default backends for PyTorch's Distributed Data Parallel
(DDP) and RPC frameworks, alongside other backends like NCCL and MPI.
- 1.0
- 2.0
torch.compiler
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of PyTorch
- As of ROCm
* - ``torch.compiler`` (AOT Autograd)
- Autograd captures not only the user-level code, but also backpropagation,
which results in capturing the backwards pass “ahead-of-time”. This
enables acceleration of both forwards and backwards pass using
``TorchInductor``.
- 2.0
- 5.3
* - ``torch.compiler`` (TorchInductor)
- The default ``torch.compile`` deep learning compiler that generates fast
code for multiple accelerators and backends. You need to use a backend
compiler to make speedups through ``torch.compile`` possible. For AMD,
NVIDIA, and Intel GPUs, it leverages OpenAI Triton as the key building block.
- 2.0
- 5.3
torchaudio
--------------------------------------------------------------------------------
The `torchaudio <https://pytorch.org/audio/stable/index.html>`_ library provides
utilities for processing audio data in PyTorch, such as audio loading,
transformations, and feature extraction.
To ensure GPU-acceleration with ``torchaudio.transforms``, you need to
explicitly move audio data (waveform tensor) to GPU using ``.to('cuda')``.
The following ``torchaudio`` features are GPU-accelerated.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of torchaudio version
- As of ROCm
* - ``torchaudio.transforms.Spectrogram``
- Generate a spectrogram of an input waveform using STFT.
- 0.6.0
- 4.5
* - ``torchaudio.transforms.MelSpectrogram``
- Generates the mel-scale spectrogram of raw audio signals.
- 0.9.0
- 4.5
* - ``torchaudio.transforms.MFCC``
- Extract of MFCC features.
- 0.9.0
- 4.5
* - ``torchaudio.transforms.Resample``
- Resamples a signal from one frequency to another.
- 0.9.0
- 4.5
torchvision
--------------------------------------------------------------------------------
The `torchvision <https://pytorch.org/vision/stable/index.html>`_ library
provides datasets, model architectures, and common image transformations for
computer vision.
The following ``torchvision`` features are GPU-accelerated.
.. list-table::
:header-rows: 1
* - Feature
- Description
- As of torchvision version
- As of ROCm
* - ``torchvision.transforms.functional``
- Provides GPU-compatible transformations for image preprocessing like
resize, normalize, rotate and crop.
- 0.2.0
- 4.0
* - ``torchvision.ops``
- GPU-accelerated operations for object detection and segmentation tasks.
``torchvision.ops.roi_align``, ``torchvision.ops.nms`` and
``box_convert``.
- 0.6.0
- 3.3
* - ``torchvision.models`` with ``.to('cuda')``
- ``torchvision`` provides several pre-trained models (ResNet, Faster
R-CNN, Mask R-CNN, ...) that can run on CUDA for faster inference and
training.
- 0.1.6
- 2.x
* - ``torchvision.io``
- Enables video decoding and frame extraction using GPU acceleration with NVIDIAs
NVDEC and nvJPEG (rocJPEG) on CUDA-enabled GPUs.
- 0.4.0
- 6.3
torchtext
--------------------------------------------------------------------------------
The `torchtext <https://pytorch.org/text/stable/index.html>`_ library provides
utilities for processing and working with text data in PyTorch, including
tokenization, vocabulary management, and text embeddings. torchtext supports
preprocessing pipelines and integration with PyTorch models, simplifying the
implementation of natural language processing (NLP) tasks.
To leverage GPU acceleration in torchtext, you need to move tensors
explicitly to the GPU using ``.to('cuda')``.
* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
* Only official release exists.
torchtune
--------------------------------------------------------------------------------
The `torchtune <https://pytorch.org/torchtune/stable/index.html>`_ library for
authoring, fine-tuning and experimenting with LLMs.
* Usage: Enabling developers to fine-tune ROCm PyTorch solutions.
* Only official release exists.
torchserve
--------------------------------------------------------------------------------
The `torchserve <https://pytorch.org/serve/>`_ is a PyTorch domain library
for common sparsity and parallelism primitives needed for large-scale recommender
systems.
* torchtext does not implement its own kernels. ROCm support is enabled by
linking against ROCm libraries.
* Only official release exists.
torchrec
--------------------------------------------------------------------------------
The `torchrec <https://pytorch.org/torchrec/>`_ is a PyTorch domain library for
common sparsity and parallelism primitives needed for large-scale recommender
systems.
* torchrec does not implement its own kernels. ROCm support is enabled by
linking against ROCm libraries.
* Only official release exists.
Unsupported PyTorch features
================================================================================
The following GPU-accelerated PyTorch features are not supported by ROCm for
the listed supported PyTorch versions.
.. list-table::
:widths: 30, 60, 10
:header-rows: 1
* - Feature
- Description
- As of PyTorch
* - APEX batch norm
- Use APEX batch norm instead of PyTorch batch norm.
- 1.6.0
* - ``torch.backends.cuda`` / ``matmul.allow_tf32``
- A bool that controls whether TensorFloat-32 tensor cores may be used in
matrix multiplications.
- 1.7
* - ``torch.cuda`` / NVIDIA Tools Extension (NVTX)
- Integration with NVTX for profiling and debugging GPU performance using
NVIDIA's Nsight tools.
- 1.7.0
* - ``torch.cuda`` / Lazy loading NVRTC
- Delays JIT compilation with NVRTC until the code is explicitly needed.
- 1.8.0
* - ``torch-tensorrt``
- Integrate TensorRT library for optimizing and deploying PyTorch models.
ROCm does not have equialent library for TensorRT.
- 1.9.0
* - ``torch.backends`` / ``cudnn.allow_tf32``
- TensorFloat-32 tensor cores may be used in cuDNN convolutions.
- 1.10.0
* - ``torch.backends.cuda`` / ``matmul.allow_fp16_reduced_precision_reduction``
- Reduced precision reductions with fp16 accumulation type are
allowed with fp16 GEMMs.
- 2.0
* - ``torch.backends.cuda`` / ``matmul.allow_bf16_reduced_precision_reduction``
- Reduced precision reductions are allowed with bf16 GEMMs.
- 2.0
* - ``torch.nn.functional`` / ``scaled_dot_product_attention``
- Flash attention backend for SDPA to accelerate attention computation in
transformer-based models.
- 2.0
* - ``torch.backends.cuda`` / ``enable_cudnn_sdp``
- Globally enables cuDNN SDPA's kernels within SDPA.
- 2.0
* - ``torch.backends.cuda`` / ``enable_flash_sdp``
- Globally enables or disables FlashAttention for SDPA.
- 2.1
* - ``torch.backends.cuda`` / ``enable_mem_efficient_sdp``
- Globally enables or disables Memory-Efficient Attention for SDPA.
- 2.1
* - ``torch.backends.cuda`` / ``enable_math_sdp``
- Globally enables or disables the PyTorch C++ implementation within SDPA.
- 2.1
* - Dynamic parallelism
- PyTorch itself does not directly expose dynamic parallelism as a core
feature. Dynamic parallelism allow GPU threads to launch additional
threads which can be reached using custom operations via the
``torch.utils.cpp_extension`` module.
- Not a core feature
* - Unified memory support in PyTorch
- Unified Memory is not directly exposed in PyTorch's core API, it can be
utilized effectively through custom CUDA extensions or advanced
workflows.
- Not a core feature

View File

@@ -1,531 +0,0 @@
:orphan:
.. meta::
:description: TensorFlow compatibility
:keywords: GPU, TensorFlow compatibility
.. version-set:: rocm_version latest
*******************************************************************************
TensorFlow compatibility
*******************************************************************************
`TensorFlow <https://www.tensorflow.org/>`_ is an open-source library for
solving machine learning, deep learning, and AI problems. It can solve many
problems across different sectors and industries but primarily focuses on
neural network training and inference. It is one of the most popular and
in-demand frameworks and is very active in open-source contribution and
development.
The `official TensorFlow repository <http://github.com/tensorflow/tensorflow>`_
includes full ROCm support. AMD maintains a TensorFlow `ROCm repository
<http://github.com/rocm/tensorflow-upstream>`_ in order to quickly add bug
fixes, updates, and support for the latest ROCM versions.
- ROCm TensorFlow release:
- Offers :ref:`Docker images <tensorflow-docker-compat>` with
ROCm and TensorFlow pre-installed.
- ROCm TensorFlow repository: `<https://github.com/ROCm/tensorflow-upstream>`_
- See the :doc:`ROCm TensorFlow installation guide <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
to get started.
- Official TensorFlow release:
- Official TensorFlow repository: `<https://github.com/tensorflow/tensorflow>`_
- See the `TensorFlow API versions <https://www.tensorflow.org/versions>`_ list.
.. note::
The official TensorFlow documentation does not cover ROCm support. Use the
ROCm documentation for installation instructions for Tensorflow on ROCm.
See :doc:`rocm-install-on-linux:install/3rd-party/tensorflow-install`.
.. _tensorflow-docker-compat:
Docker image compatibility
===============================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes ready-made `TensorFlow images
<https://hub.docker.com/r/rocm/tensorflow>`_ with ROCm backends on
Docker Hub. The following Docker image tags and associated inventories are
validated for `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click
the |docker-icon| icon to view the image on Docker Hub.
.. list-table:: TensorFlow Docker image components
:header-rows: 1
* - Docker image
- TensorFlow
- Ubuntu
- Dev
- Python
- TensorBoard
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-dev/images/sha256-fa9cf5fa6c6079a7118727531ccd0056c6e3224a42c3d6e78a49e7781daafff4"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- dev
- 24.04
- `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-runtime/images/sha256-14addca4b92a47c806b83ebaeed593fc6672cd99f0017ed8dad759fe72ed0309"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- runtime
- 24.04
- `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.18-dev/images/sha256-f5e151060df04ff5fb59f5604b49cd371931bbe75b06aec9fe7781397c4be0ce"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- dev
- 22.04
- `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.18-runtime/images/sha256-5cd4c03fdb1036570c0d4929da60a65c4466998dc80f1dc8a5a0b173eae017fb"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- runtime
- 22.04
- `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.17-dev/images/sha256-b3add80e374a2db2d1088d746e740afa89d439aca02cacba959ad298f5cd2b3f"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- dev
- 24.04
- `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.17-runtime/images/sha256-3a244f026c32177eff7958ffbad390de85b438b2b48b455cc39f15d70fa1270d"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- runtime
- 24.04
- `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.17-dev/images/sha256-e0cecdfacb59169335049983cdab6da578c209bb9f4d08aad97e184ae59171a6"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- dev
- 22.04
- `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.17-runtime/images/sha256-6f43de12f7eb202791b698ac51d28b72098de90034dbcd48486629b0125f7707"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- runtime
- 22.04
- `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
Critical ROCm libraries for TensorFlow
===============================================================================
TensorFlow depends on multiple components and the supported features of those
components can affect the TensorFlow ROCm supported feature set. The versions
in the following table refer to the first TensorFlow version where the ROCm
library was introduced as a dependency. The versions described
are available in ROCm :version:`rocm_version`.
.. list-table::
:widths: 25, 10, 35, 30
:header-rows: 1
* - ROCm library
- Version
- Purpose
- Used in
* - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
- :version-ref:`hipBLAS rocm_version`
- Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
matrix and vector operations.
- Accelerates operations like ``tf.matmul``, ``tf.linalg.matmul``, and
other matrix multiplications commonly used in neural network layers.
* - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
- :version-ref:`hipBLASLt rocm_version`
- Extends hipBLAS with additional optimizations like fused kernels and
integer tensor cores.
- Optimizes matrix multiplications and linear algebra operations used in
layers like dense, convolutional, and RNNs in TensorFlow.
* - `hipCUB <https://github.com/ROCm/hipCUB>`_
- :version-ref:`hipCUB rocm_version`
- Provides a C++ template library for parallel algorithms for reduction,
scan, sort and select.
- Supports operations like ``tf.reduce_sum``, ``tf.cumsum``, ``tf.sort``
and other tensor operations in TensorFlow, especially those involving
scanning, sorting, and filtering.
* - `hipFFT <https://github.com/ROCm/hipFFT>`_
- :version-ref:`hipFFT rocm_version`
- Accelerates Fast Fourier Transforms (FFT) for signal processing tasks.
- Used for operations like signal processing, image filtering, and
certain types of neural networks requiring FFT-based transformations.
* - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
- :version-ref:`hipSOLVER rocm_version`
- Provides GPU-accelerated direct linear solvers for dense and sparse
systems.
- Optimizes linear algebra functions such as solving systems of linear
equations, often used in optimization and training tasks.
* - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
- :version-ref:`hipSPARSE rocm_version`
- Optimizes sparse matrix operations for efficient computations on sparse
data.
- Accelerates sparse matrix operations in models with sparse weight
matrices or activations, commonly used in neural networks.
* - `MIOpen <https://github.com/ROCm/MIOpen>`_
- :version-ref:`MIOpen rocm_version`
- Provides optimized deep learning primitives such as convolutions,
pooling,
normalization, and activation functions.
- Speeds up convolutional neural networks (CNNs) and other layers. Used
in TensorFlow for layers like ``tf.nn.conv2d``, ``tf.nn.relu``, and
``tf.nn.lstm_cell``.
* - `RCCL <https://github.com/ROCm/rccl>`_
- :version-ref:`RCCL rocm_version`
- Optimizes for multi-GPU communication for operations like AllReduce and
Broadcast.
- Distributed data parallel training (``tf.distribute.MirroredStrategy``).
Handles communication in multi-GPU setups.
* - `rocThrust <https://github.com/ROCm/rocThrust>`_
- :version-ref:`rocThrust rocm_version`
- Provides a C++ template library for parallel algorithms like sorting,
reduction, and scanning.
- Reduction operations like ``tf.reduce_sum``, ``tf.cumsum`` for computing
the cumulative sum of elements along a given axis or ``tf.unique`` to
finds unique elements in a tensor can use rocThrust.
Supported and unsupported features
===============================================================================
The following section maps supported data types and GPU-accelerated TensorFlow
features to their minimum supported ROCm and TensorFlow versions.
Data types
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The data type of a tensor is specified using the ``dtype`` attribute or
argument, and TensorFlow supports a wide range of data types for different use
cases.
The basic, single data types of `tf.dtypes <https://www.tensorflow.org/api_docs/python/tf/dtypes>`_
are as follows:
.. list-table::
:header-rows: 1
* - Data type
- Description
- Since TensorFlow
- Since ROCm
* - ``bfloat16``
- 16-bit bfloat (brain floating point).
- 1.0.0
- 1.7
* - ``bool``
- Boolean.
- 1.0.0
- 1.7
* - ``complex128``
- 128-bit complex.
- 1.0.0
- 1.7
* - ``complex64``
- 64-bit complex.
- 1.0.0
- 1.7
* - ``double``
- 64-bit (double precision) floating-point.
- 1.0.0
- 1.7
* - ``float16``
- 16-bit (half precision) floating-point.
- 1.0.0
- 1.7
* - ``float32``
- 32-bit (single precision) floating-point.
- 1.0.0
- 1.7
* - ``float64``
- 64-bit (double precision) floating-point.
- 1.0.0
- 1.7
* - ``half``
- 16-bit (half precision) floating-point.
- 2.0.0
- 2.0
* - ``int16``
- Signed 16-bit integer.
- 1.0.0
- 1.7
* - ``int32``
- Signed 32-bit integer.
- 1.0.0
- 1.7
* - ``int64``
- Signed 64-bit integer.
- 1.0.0
- 1.7
* - ``int8``
- Signed 8-bit integer.
- 1.0.0
- 1.7
* - ``qint16``
- Signed quantized 16-bit integer.
- 1.0.0
- 1.7
* - ``qint32``
- Signed quantized 32-bit integer.
- 1.0.0
- 1.7
* - ``qint8``
- Signed quantized 8-bit integer.
- 1.0.0
- 1.7
* - ``quint16``
- Unsigned quantized 16-bit integer.
- 1.0.0
- 1.7
* - ``quint8``
- Unsigned quantized 8-bit integer.
- 1.0.0
- 1.7
* - ``resource``
- Handle to a mutable, dynamically allocated resource.
- 1.0.0
- 1.7
* - ``string``
- Variable-length string, represented as byte array.
- 1.0.0
- 1.7
* - ``uint16``
- Unsigned 16-bit (word) integer.
- 1.0.0
- 1.7
* - ``uint32``
- Unsigned 32-bit (dword) integer.
- 1.5.0
- 1.7
* - ``uint64``
- Unsigned 64-bit (qword) integer.
- 1.5.0
- 1.7
* - ``uint8``
- Unsigned 8-bit (byte) integer.
- 1.0.0
- 1.7
* - ``variant``
- Data of arbitrary type (known at runtime).
- 1.4.0
- 1.7
Features
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This table provides an overview of key features in TensorFlow and their
availability in ROCm.
.. list-table::
:header-rows: 1
* - Module
- Description
- Since TensorFlow
- Since ROCm
* - ``tf.linalg`` (Linear Algebra)
- Operations for matrix and tensor computations, such as
``tf.linalg.matmul`` (matrix multiplication), ``tf.linalg.inv``
(matrix inversion) and ``tf.linalg.cholesky`` (Cholesky decomposition).
These leverage GPUs for high-performance linear algebra operations.
- 1.4
- 1.8.2
* - ``tf.nn`` (Neural Network Operations)
- GPU-accelerated building blocks for deep learning models, such as 2D
convolutions with ``tf.nn.conv2d``, max pooling operations with
``tf.nn.max_pool``, activation functions like ``tf.nn.relu`` or softmax
for output layers with ``tf.nn.softmax``.
- 1.0
- 1.8.2
* - ``tf.image`` (Image Processing)
- GPU-accelerated functions for image preprocessing and augmentations,
such as resize images with ``tf.image.resize``, flip images horizontally
with ``tf.image.flip_left_right`` and adjust image brightness randomly
with ``tf.image.random_brightness``.
- 1.1
- 1.8.2
* - ``tf.keras`` (High-Level API)
- GPU acceleration for Keras layers and models, including dense layers
(``tf.keras.layers.Dense``), convolutional layers
(``tf.keras.layers.Conv2D``) and recurrent layers
(``tf.keras.layers.LSTM``).
- 1.4
- 1.8.2
* - ``tf.math`` (Mathematical Operations)
- GPU-accelerated mathematical operations, such as sum across dimensions
with ``tf.math.reduce_sum``, elementwise exponentiation with
``tf.math.exp`` and sigmoid activation (``tf.math.sigmoid``).
- 1.5
- 1.8.2
* - ``tf.signal`` (Signal Processing)
- Functions for spectral analysis and signal transformations.
- 1.13
- 2.1
* - ``tf.data`` (Data Input Pipeline)
- GPU-accelerated data preprocessing for efficient input pipelines,
Prefetching with ``tf.data.experimental.AUTOTUNE``. GPU-enabled
transformations like map and batch.
- 1.4
- 1.8.2
* - ``tf.distribute`` (Distributed Training)
- Enabling to scale computations across multiple devices on a single
machine or across multiple machines.
- 1.13
- 2.1
* - ``tf.random`` (Random Number Generation)
- GPU-accelerated random number generation
- 1.12
- 1.9.2
* - ``tf.TensorArray`` (Dynamic Array Operations)
- Enables dynamic tensor manipulation on GPUs.
- 1.0
- 1.8.2
* - ``tf.sparse`` (Sparse Tensor Operations)
- GPU-accelerated sparse matrix manipulations.
- 1.9
- 1.9.0
* - ``tf.experimental.numpy``
- GPU-accelerated NumPy-like API for numerical computations.
- 2.4
- 4.1.1
* - ``tf.RaggedTensor``
- Handling of variable-length sequences and ragged tensors with GPU
support.
- 1.13
- 2.1
* - ``tf.function`` with XLA (Accelerated Linear Algebra)
- Enable GPU-accelerated functions in optimization.
- 1.14
- 2.4
* - ``tf.quantization``
- Quantized operations for inference, accelerated on GPUs.
- 1.12
- 1.9.2
Distributed library features
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Enables developers to scale computations across multiple devices on a single machine or
across multiple machines.
.. list-table::
:header-rows: 1
* - Feature
- Description
- Since TensorFlow
- Since ROCm
* - ``MultiWorkerMirroredStrategy``
- Synchronous training across multiple workers using mirrored variables.
- 2.0
- 3.0
* - ``MirroredStrategy``
- Synchronous training across multiple GPUs on one machine.
- 1.5
- 2.5
* - ``TPUStrategy``
- Efficiently trains models on Google TPUs.
- 1.9
- ❌
* - ``ParameterServerStrategy``
- Asynchronous training using parameter servers for variable management.
- 2.1
- 4.0
* - ``CentralStorageStrategy``
- Keeps variables on a single device and performs computation on multiple
devices.
- 2.3
- 4.1
* - ``CollectiveAllReduceStrategy``
- Synchronous training across multiple devices and hosts.
- 1.14
- 3.5
* - Distribution Strategies API
- High-level API to simplify distributed training configuration and
execution.
- 1.10
- 3.0
Unsupported TensorFlow features
===============================================================================
The following are GPU-accelerated TensorFlow features not currently supported by
ROCm.
.. list-table::
:header-rows: 1
* - Feature
- Description
- Since TensorFlow
* - Mixed Precision with TF32
- Mixed precision with TF32 is used for matrix multiplications,
convolutions, and other linear algebra operations, particularly in
deep learning workloads like CNNs and transformers.
- 2.4
* - ``tf.distribute.TPUStrategy``
- Efficiently trains models on Google TPUs.
- 1.9
Use cases and recommendations
===============================================================================
* The `Training a Neural Collaborative Filtering (NCF) Recommender on an AMD
GPU <https://rocm.blogs.amd.com/artificial-intelligence/ncf/README.html>`_
blog post discusses training an NCF recommender system using TensorFlow. It
explains how NCF improves traditional collaborative filtering methods by
leveraging neural networks to model non-linear user-item interactions. The
post outlines the implementation using the recommenders library, focusing on
the use of implicit data (for example, user interactions like viewing or
purchasing) and how it addresses challenges like the lack of negative values.
* The `Creating a PyTorch/TensorFlow code environment on AMD GPUs
<https://rocm.blogs.amd.com/software-tools-optimization/pytorch-tensorflow-env/README.html>`_
blog post provides instructions for creating a machine learning environment
for PyTorch and TensorFlow on AMD GPUs using ROCm. It covers steps like
installing the libraries, cloning code repositories, installing dependencies,
and troubleshooting potential issues with CUDA-based code. Additionally, it
explains how to HIPify code (port CUDA code to HIP) and manage Docker images
for a better experience on AMD GPUs. This guide aims to help data scientists
and ML practitioners adapt their code for AMD GPUs.
For more use cases and recommendations, see the `ROCm Tensorflow blog posts <https://rocm.blogs.amd.com/blog/tag/tensorflow.html>`_.

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.. meta::
:description: Using CMake
:keywords: CMake, dependencies, HIP, C++, AMD, ROCm
*********************************
Using CMake
*********************************
Most components in ROCm support CMake. Projects depending on header-only or
library components typically require CMake 3.5 or higher whereas those wanting
to make use of the CMake HIP language support will require CMake 3.21 or higher.
Finding dependencies
====================
.. note::
For a complete
reference on how to deal with dependencies in CMake, refer to the CMake docs
on `find_package
<https://cmake.org/cmake/help/latest/command/find_package.html>`_ and the
`Using Dependencies Guide
<https://cmake.org/cmake/help/latest/guide/using-dependencies/index.html>`_
to get an overview of CMake related facilities.
In short, CMake supports finding dependencies in two ways:
* In Module mode, it consults a file ``Find<PackageName>.cmake`` which tries to find the component
in typical install locations and layouts. CMake ships a few dozen such scripts, but users and projects
may ship them as well.
* In Config mode, it locates a file named ``<packagename>-config.cmake`` or
``<PackageName>Config.cmake`` which describes the installed component in all regards needed to
consume it.
ROCm predominantly relies on Config mode, one notable exception being the Module
driving the compilation of HIP programs on NVIDIA runtimes. As such, when
dependencies are not found in standard system locations, one either has to
instruct CMake to search for package config files in additional folders using
the ``CMAKE_PREFIX_PATH`` variable (a semi-colon separated list of file system
paths), or using ``<PackageName>_ROOT`` variable on a project-specific basis.
There are nearly a dozen ways to set these variables. One may be more convenient
over the other depending on your workflow. Conceptually the simplest is adding
it to your CMake configuration command on the command line via
``-D CMAKE_PREFIX_PATH=....`` . AMD packaged ROCm installs can typically be
added to the config file search paths such as:
* Windows: ``-D CMAKE_PREFIX_PATH=${env:HIP_PATH}``
* Linux: ``-D CMAKE_PREFIX_PATH=/opt/rocm``
ROCm provides the respective *config-file* packages, and this enables
``find_package`` to be used directly. ROCm does not require any Find module as
the *config-file* packages are shipped with the upstream projects, such as
rocPRIM and other ROCm libraries.
For a complete guide on where and how ROCm may be installed on a system, refer
to the installation guides for
`Linux <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html>`_
and
`Windows <https://rocm.docs.amd.com/projects/install-on-windows/en/latest/index.html>`_.
Using HIP in CMake
==================
ROCm components providing a C/C++ interface support consumption via any
C/C++ toolchain that CMake knows how to drive. ROCm also supports the CMake HIP
language features, allowing users to program using the HIP single-source
programming model. When a program (or translation-unit) uses the HIP API without
compiling any GPU device code, HIP can be treated in CMake as a simple C/C++
library.
Using the HIP single-source programming model
---------------------------------------------
Source code written in the HIP dialect of C++ typically uses the `.hip`
extension. When the HIP CMake language is enabled, it will automatically
associate such source files with the HIP toolchain being used.
.. code-block:: cmake
cmake_minimum_required(VERSION 3.21) # HIP language support requires 3.21
cmake_policy(VERSION 3.21.3...3.27)
project(MyProj LANGUAGES HIP)
add_executable(MyApp Main.hip)
Should you have existing CUDA code that is from the source compatible subset of
HIP, you can tell CMake that despite their `.cu` extension, they're HIP sources.
Do note that this mostly facilitates compiling kernel code-only source files,
as host-side CUDA API won't compile in this fashion.
.. code-block:: cmake
add_library(MyLib MyLib.cu)
set_source_files_properties(MyLib.cu PROPERTIES LANGUAGE HIP)
CMake itself only hosts part of the HIP language support, such as defining
HIP-specific properties, etc. while the other half ships with the HIP
implementation, such as ROCm. CMake will search for a file
`hip-lang-config.cmake` describing how the the properties defined by CMake
translate to toolchain invocations. If one installs ROCm using non-standard
methods or layouts and CMake can't locate this file or detect parts of the SDK,
there's a catch-all, last resort variable consulted locating this file,
``-D CMAKE_HIP_COMPILER_ROCM_ROOT:PATH=`` which should be set the root of the
ROCm installation.
.. note::
Imported targets defined by `hip-lang-config.cmake` are for internal use
only.
If the user doesn't provide a semi-colon delimited list of device architectures
via ``CMAKE_HIP_ARCHITECTURES``, CMake will select some sensible default. It is
advised though that if a user knows what devices they wish to target, then set
this variable explicitly.
Consuming ROCm C/C++ libraries
------------------------------
Libraries such as rocBLAS, rocFFT, MIOpen, etc. behave as C/C++ libraries.
Illustrated in the example below is a C++ application using MIOpen from CMake.
It calls ``find_package(miopen)``, which provides the ``MIOpen`` imported
target. This can be linked with ``target_link_libraries``
.. code-block:: cmake
cmake_minimum_required(VERSION 3.5) # find_package(miopen) requires 3.5
cmake_policy(VERSION 3.5...3.27)
project(MyProj LANGUAGES CXX)
find_package(miopen)
add_library(MyLib ...)
target_link_libraries(MyLib PUBLIC MIOpen)
.. note::
Most libraries are designed as host-only API, so using a GPU device
compiler is not necessary for downstream projects unless they use GPU device
code.
Consuming the HIP API in C++ code
---------------------------------
Consuming the HIP API without compiling single-source GPU device code can be
done using any C++ compiler. The ``find_package(hip)`` provides the
``hip::host`` imported target to use HIP in this scenario.
.. code-block:: cmake
cmake_minimum_required(VERSION 3.5) # find_package(hip) requires 3.5
cmake_policy(VERSION 3.5...3.27)
project(MyProj LANGUAGES CXX)
find_package(hip REQUIRED)
add_executable(MyApp ...)
target_link_libraries(MyApp PRIVATE hip::host)
When mixing such ``CXX`` sources with ``HIP`` sources holding device-code, link
only to `hip::host`. If HIP sources don't have `.hip` as their extension, use
`set_source_files_properties(<hip_sources>... PROPERTIES LANGUAGE HIP)` on them.
Linking to `hip::host` will set all the necessary flags for the ``CXX`` sources
while ``HIP`` sources inherit all flags from the built-in language support.
Having HIP sources in a target will turn the |LINK_LANG|_ into ``HIP``.
.. |LINK_LANG| replace:: ``LINKER_LANGUAGE``
.. _LINK_LANG: https://cmake.org/cmake/help/latest/prop_tgt/LINKER_LANGUAGE.html
Compiling device code in C++ language mode
------------------------------------------
.. attention::
The workflow detailed here is considered legacy and is shown for
understanding's sake. It pre-dates the existence of HIP language support in
CMake. If source code has HIP device code in it, it is a HIP source file
and should be compiled as such. Only resort to the method below if your
HIP-enabled CMake code path can't mandate CMake version 3.21.
If code uses the HIP API and compiles GPU device code, it requires using a
device compiler. The compiler for CMake can be set using either the
``CMAKE_C_COMPILER`` and ``CMAKE_CXX_COMPILER`` variable or using the ``CC``
and ``CXX`` environment variables. This can be set when configuring CMake or
put into a CMake toolchain file. The device compiler must be set to a
compiler that supports AMD GPU targets, which is usually Clang.
The ``find_package(hip)`` provides the ``hip::device`` imported target to add
all the flags necessary for device compilation.
.. code-block:: cmake
cmake_minimum_required(VERSION 3.8) # cxx_std_11 requires 3.8
cmake_policy(VERSION 3.8...3.27)
project(MyProj LANGUAGES CXX)
find_package(hip REQUIRED)
add_library(MyLib ...)
target_link_libraries(MyLib PRIVATE hip::device)
target_compile_features(MyLib PRIVATE cxx_std_11)
.. note::
Compiling for the GPU device requires at least C++11.
This project can then be configured with the following CMake commands:
* Windows: ``cmake -D CMAKE_CXX_COMPILER:PATH=${env:HIP_PATH}\bin\clang++.exe``
* Linux: ``cmake -D CMAKE_CXX_COMPILER:PATH=/opt/rocm/bin/amdclang++``
Which use the device compiler provided from the binary packages of
`ROCm HIP SDK <https://www.amd.com/en/developer/resources/rocm-hub/hip-sdk.html>`_ and
`repo.radeon.com <https://repo.radeon.com>`_ respectively.
When using the ``CXX`` language support to compile HIP device code, selecting the
target GPU architectures is done via setting the ``GPU_TARGETS`` variable.
``CMAKE_HIP_ARCHITECTURES`` only exists when the HIP language is enabled. By
default, this is set to some subset of the currently supported architectures of
AMD ROCm. It can be set to the CMake option ``-D GPU_TARGETS="gfx1032;gfx1035"``.
ROCm CMake packages
-------------------
+-----------+----------+--------------------------------------------------------+
| Component | Package | Targets |
+===========+==========+========================================================+
| HIP | hip | ``hip::host``, ``hip::device`` |
+-----------+----------+--------------------------------------------------------+
| rocPRIM | rocprim | ``roc::rocprim`` |
+-----------+----------+--------------------------------------------------------+
| rocThrust | rocthrust| ``roc::rocthrust`` |
+-----------+----------+--------------------------------------------------------+
| hipCUB | hipcub | ``hip::hipcub`` |
+-----------+----------+--------------------------------------------------------+
| rocRAND | rocrand | ``roc::rocrand`` |
+-----------+----------+--------------------------------------------------------+
| rocBLAS | rocblas | ``roc::rocblas`` |
+-----------+----------+--------------------------------------------------------+
| rocSOLVER | rocsolver| ``roc::rocsolver`` |
+-----------+----------+--------------------------------------------------------+
| hipBLAS | hipblas | ``roc::hipblas`` |
+-----------+----------+--------------------------------------------------------+
| rocFFT | rocfft | ``roc::rocfft`` |
+-----------+----------+--------------------------------------------------------+
| hipFFT | hipfft | ``hip::hipfft`` |
+-----------+----------+--------------------------------------------------------+
| rocSPARSE | rocsparse| ``roc::rocsparse`` |
+-----------+----------+--------------------------------------------------------+
| hipSPARSE | hipsparse| ``roc::hipsparse`` |
+-----------+----------+--------------------------------------------------------+
| rocALUTION|rocalution| ``roc::rocalution`` |
+-----------+----------+--------------------------------------------------------+
| RCCL | rccl | ``rccl`` |
+-----------+----------+--------------------------------------------------------+
| MIOpen | miopen | ``MIOpen`` |
+-----------+----------+--------------------------------------------------------+
| MIGraphX | migraphx | ``migraphx::migraphx``, ``migraphx::migraphx_c``, |
| | | ``migraphx::migraphx_cpu``, ``migraphx::migraphx_gpu``,|
| | | ``migraphx::migraphx_onnx``, ``migraphx::migraphx_tf`` |
+-----------+----------+--------------------------------------------------------+
Using CMake presets
===================
CMake command lines depending on how specific users like to be when compiling
code can grow to unwieldy lengths. This is the primary reason why projects tend
to bake script snippets into their build definitions controlling compiler
warning levels, changing CMake defaults (``CMAKE_BUILD_TYPE`` or
``BUILD_SHARED_LIBS`` just to name a few) and all sorts anti-patterns, all in
the name of convenience.
Load on the command-line interface (CLI) starts immediately by selecting a
toolchain, the set of utilities used to compile programs. To ease some of the
toolchain related pains, CMake does consult the ``CC`` and ``CXX`` environmental
variables when setting a default ``CMAKE_C[XX]_COMPILER`` respectively, but that
is just the tip of the iceberg. There's a fair number of variables related to
just the toolchain itself (typically supplied using
`toolchain files <https://cmake.org/cmake/help/latest/manual/cmake-toolchains.7.html>`_
), and then we still haven't talked about user preference or project-specific
options.
IDEs supporting CMake (Visual Studio, Visual Studio Code, CLion, etc.) all came
up with their own way to register command-line fragments of different purpose in
a setup-and-forget fashion for quick assembly using graphical front-ends. This is
all nice, but configurations aren't portable, nor can they be reused in
Continuous Integration (CI) pipelines. CMake has condensed existing practice
into a portable JSON format that works in all IDEs and can be invoked from any
command line. This is
`CMake Presets <https://cmake.org/cmake/help/latest/manual/cmake-presets.7.html>`_.
There are two types of preset files: one supplied by the project, called
``CMakePresets.json`` which is meant to be committed to version control,
typically used to drive CI; and one meant for the user to provide, called
``CMakeUserPresets.json``, typically used to house user preference and adapting
the build to the user's environment. These JSON files are allowed to include
other JSON files and the user presets always implicitly includes the non-user
variant.
Using HIP with presets
----------------------
Following is an example ``CMakeUserPresets.json`` file which actually compiles
the `amd/rocm-examples <https://github.com/amd/rocm-examples>`_ suite of sample
applications on a typical ROCm installation:
.. code-block:: json
{
"version": 3,
"cmakeMinimumRequired": {
"major": 3,
"minor": 21,
"patch": 0
},
"configurePresets": [
{
"name": "layout",
"hidden": true,
"binaryDir": "${sourceDir}/build/${presetName}",
"installDir": "${sourceDir}/install/${presetName}"
},
{
"name": "generator-ninja-multi-config",
"hidden": true,
"generator": "Ninja Multi-Config"
},
{
"name": "toolchain-makefiles-c/c++-amdclang",
"hidden": true,
"cacheVariables": {
"CMAKE_C_COMPILER": "/opt/rocm/bin/amdclang",
"CMAKE_CXX_COMPILER": "/opt/rocm/bin/amdclang++",
"CMAKE_HIP_COMPILER": "/opt/rocm/bin/amdclang++"
}
},
{
"name": "clang-strict-iso-high-warn",
"hidden": true,
"cacheVariables": {
"CMAKE_C_FLAGS": "-Wall -Wextra -pedantic",
"CMAKE_CXX_FLAGS": "-Wall -Wextra -pedantic",
"CMAKE_HIP_FLAGS": "-Wall -Wextra -pedantic"
}
},
{
"name": "ninja-mc-rocm",
"displayName": "Ninja Multi-Config ROCm",
"inherits": [
"layout",
"generator-ninja-multi-config",
"toolchain-makefiles-c/c++-amdclang",
"clang-strict-iso-high-warn"
]
}
],
"buildPresets": [
{
"name": "ninja-mc-rocm-debug",
"displayName": "Debug",
"configuration": "Debug",
"configurePreset": "ninja-mc-rocm"
},
{
"name": "ninja-mc-rocm-release",
"displayName": "Release",
"configuration": "Release",
"configurePreset": "ninja-mc-rocm"
},
{
"name": "ninja-mc-rocm-debug-verbose",
"displayName": "Debug (verbose)",
"configuration": "Debug",
"configurePreset": "ninja-mc-rocm",
"verbose": true
},
{
"name": "ninja-mc-rocm-release-verbose",
"displayName": "Release (verbose)",
"configuration": "Release",
"configurePreset": "ninja-mc-rocm",
"verbose": true
}
],
"testPresets": [
{
"name": "ninja-mc-rocm-debug",
"displayName": "Debug",
"configuration": "Debug",
"configurePreset": "ninja-mc-rocm",
"execution": {
"jobs": 0
}
},
{
"name": "ninja-mc-rocm-release",
"displayName": "Release",
"configuration": "Release",
"configurePreset": "ninja-mc-rocm",
"execution": {
"jobs": 0
}
}
]
}
.. note::
Getting presets to work reliably on Windows requires some CMake improvements
and/or support from compiler vendors. (Refer to
`Add support to the Visual Studio generators <https://gitlab.kitware.com/cmake/cmake/-/issues/24245>`_
and `Sourcing environment scripts <https://gitlab.kitware.com/cmake/cmake/-/issues/21619>`_
.)

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<head>
<meta charset="UTF-8">
<meta name="description" content="AMD ROCm documentation">
<meta name="keywords" content="documentation, guides, installation, compatibility, support,
reference, ROCm, AMD">
</head>
# Using compiler features
The following topics describe using specific features of the compilation tools:
* [ROCm compiler infrastructure](https://rocm.docs.amd.com/projects/llvm-project/en/latest/index.html)
* [Using AddressSanitizer](https://rocm.docs.amd.com/projects/llvm-project/en/latest/conceptual/using-gpu-sanitizer.html)
* [OpenMP support](https://rocm.docs.amd.com/projects/llvm-project/en/latest/conceptual/openmp.html)

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@@ -1,172 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="ROCm Linux Filesystem Hierarchy Standard reorganization">
<meta name="keywords" content="FHS, Linux Filesystem Hierarchy Standard, directory structure,
AMD, ROCm">
</head>
# ROCm Linux Filesystem Hierarchy Standard reorganization
## Introduction
The ROCm Software has adopted the Linux Filesystem Hierarchy Standard (FHS) [https://refspecs.linuxfoundation.org/FHS_3.0/fhs/index.html](https://refspecs.linuxfoundation.org/FHS_3.0/fhs/index.html) in order to to ensure ROCm is consistent with standard open source conventions. The following sections specify how current and future releases of ROCm adhere to FHS, how the previous ROCm file system is supported, and how improved versioning specifications are applied to ROCm.
## Adopting the FHS
In order to standardize ROCm directory structure and directory content layout ROCm has adopted the [FHS](https://refspecs.linuxfoundation.org/FHS_3.0/fhs/index.html), adhering to open source conventions for Linux-based distribution. FHS ensures internal consistency within the ROCm stack, as well as external consistency with other systems and distributions. The ROCm proposed file structure is outlined below:
```none
/opt/rocm-<ver>
| -- bin
| -- all public binaries
| -- lib
| -- lib<soname>.so->lib<soname>.so.major->lib<soname>.so.major.minor.patch
(public libaries to link with applications)
| -- <component>
| -- architecture dependent libraries and binaries used internally by components
| -- cmake
| -- <component>
| --<component>-config.cmake
| -- libexec
| -- <component>
| -- non ISA/architecture independent executables used internally by components
| -- include
| -- <component>
| -- public header files
| -- share
| -- html
| -- <component>
| -- html documentation
| -- info
| -- <component>
| -- info files
| -- man
| -- <component>
| -- man pages
| -- doc
| -- <component>
| -- license files
| -- <component>
| -- samples
| -- architecture independent misc files
```
## Changes from earlier ROCm versions
The following table provides a brief overview of the new ROCm FHS layout, compared to the layout of earlier ROCm versions. Note that /opt/ is used to denote the default rocm-installation-path and should be replaced in case of a non-standard installation location of the ROCm distribution.
```none
______________________________________________________
| New ROCm Layout | Previous ROCm Layout |
|_____________________________|________________________|
| /opt/rocm-<ver> | /opt/rocm-<ver> |
| | -- bin | | -- bin |
| | -- lib | | -- lib |
| | -- cmake | | -- include |
| | -- libexec | | -- <component_1> |
| | -- include | | -- bin |
| | -- <component_1> | | -- cmake |
| | -- share | | -- doc |
| | -- html | | -- lib |
| | -- info | | -- include |
| | -- man | | -- samples |
| | -- doc | | -- <component_n> |
| | -- <component_1> | | -- bin |
| | -- samples | | -- cmake |
| | -- .. | | -- doc |
| | -- <component_n> | | -- lib |
| | -- samples | | -- include |
| | -- .. | | -- samples |
|______________________________________________________|
```
## ROCm FHS reorganization: backward compatibility
The FHS file organization for ROCm was first introduced in the release of ROCm 5.2 . Backward compatibility was implemented to make sure users could still run their ROCm applications while transitioning to the new FHS. ROCm has moved header files and libraries to their new locations as indicated in the above structure, and included symbolic-links and wrapper header files in their old location for backward compatibility. The following sections detail ROCm backward compatibility implementation for wrapper header files, executable files, library files and CMake config files.
### Wrapper header files
Wrapper header files are placed in the old location (
`/opt/rocm-<ver>/<component>/include`) with a warning message to include files
from the new location (`/opt/rocm-<ver>/include`) as shown in the example below.
```cpp
#pragma message "This file is deprecated. Use file from include path /opt/rocm-ver/include/ and prefix with hip."
#include <hip/hip_runtime.h>
```
* Starting at ROCm 5.2 release, the deprecation for backward compatibility wrapper header files is: `#pragma` message announcing `#warning`.
* Starting from ROCm 6.0 (tentatively) backward compatibility for wrapper header files will be removed, and the `#pragma` message will be announcing `#error`.
### Executable files
Executable files are available in the `/opt/rocm-<ver>/bin` folder. For backward
compatibility, the old library location (`/opt/rocm-<ver>/<component>/bin`) has a
soft link to the library at the new location. Soft links will be removed in a
future release, tentatively ROCm v6.0.
```bash
$ ls -l /opt/rocm/hip/bin/
lrwxrwxrwx 1 root root 24 Jan 1 23:32 hipcc -> ../../bin/hipcc
```
### Library files
Library files are available in the `/opt/rocm-<ver>/lib` folder. For backward
compatibility, the old library location (`/opt/rocm-<ver>/<component>/lib`) has a
soft link to the library at the new location. Soft links will be removed in a
future release, tentatively ROCm v6.0.
```shell
$ ls -l /opt/rocm/hip/lib/
drwxr-xr-x 4 root root 4096 Jan 1 10:45 cmake
lrwxrwxrwx 1 root root 24 Jan 1 23:32 libamdhip64.so -> ../../lib/libamdhip64.so
```
### CMake config files
All CMake configuration files are available in the
`/opt/rocm-<ver>/lib/cmake/<component>` folder. For backward compatibility, the
old CMake locations (`/opt/rocm-<ver>/<component>/lib/cmake`) consist of a soft
link to the new CMake config. Soft links will be removed in a future release,
tentatively ROCm v6.0.
```shell
$ ls -l /opt/rocm/hip/lib/cmake/hip/
lrwxrwxrwx 1 root root 42 Jan 1 23:32 hip-config.cmake -> ../../../../lib/cmake/hip/hip-config.cmake
```
## Changes required in applications using ROCm
Applications using ROCm are advised to use the new file paths. As the old files
will be deprecated in a future release. Applications have to make sure to include
correct header file and use correct search paths.
1. `#include<header_file.h>` needs to be changed to
`#include <component/header_file.h>`
For example: `#include <hip.h>` needs to change
to `#include <hip/hip.h>`
2. Any variable in CMake or Makefiles pointing to component folder needs to
changed.
For example: `VAR1=/opt/rocm/hip` needs to be changed to `VAR1=/opt/rocm`
`VAR2=/opt/rocm/hsa` needs to be changed to `VAR2=/opt/rocm`
3. Any reference to `/opt/rocm/<component>/bin` or `/opt/rocm/<component>/lib`
needs to be changed to `/opt/rocm/bin` and `/opt/rocm/lib/`, respectively.
## Changes in versioning specifications
In order to better manage ROCm dependencies specification and allow smoother releases of ROCm while avoiding dependency conflicts, ROCm software shall adhere to the following scheme when numbering and incrementing ROCm files versions:
rocm-\<ver\>, where \<ver\> = \<x.y.z\>
x.y.z denote: MAJOR.MINOR.PATCH
z: PATCH - increment z when implementing backward compatible bug fixes.
y: MINOR - increment y when implementing minor changes that add functionality but are still backward compatible.
x: MAJOR - increment x when implementing major changes that are not backward compatible.

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@@ -1,72 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="GPU architecture">
<meta name="keywords" content="GPU architecture, architecture support, MI200, MI250, RDNA,
MI100, AMD Instinct">
</head>
(gpu-arch-documentation)=
# GPU architecture documentation
:::::{grid} 1 1 2 2
:gutter: 1
:::{grid-item-card}
**AMD Instinct MI300 series**
Review hardware aspects of the AMD Instinct™ MI300 series of GPU accelerators and the CDNA™ 3
architecture.
* [AMD Instinct™ MI300 microarchitecture](./gpu-arch/mi300.md)
* [AMD Instinct MI300/CDNA3 ISA](https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-mi300-cdna3-instruction-set-architecture.pdf)
* [White paper](https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/white-papers/amd-cdna-3-white-paper.pdf)
* [Performance counters](./gpu-arch/mi300-mi200-performance-counters.rst)
:::
:::{grid-item-card}
**AMD Instinct MI200 series**
Review hardware aspects of the AMD Instinct™ MI200 series of GPU accelerators and the CDNA™ 2
architecture.
* [AMD Instinct™ MI250 microarchitecture](./gpu-arch/mi250.md)
* [AMD Instinct MI200/CDNA2 ISA](https://www.amd.com/system/files/TechDocs/instinct-mi200-cdna2-instruction-set-architecture.pdf)
* [White paper](https://www.amd.com/content/dam/amd/en/documents/instinct-business-docs/white-papers/amd-cdna2-white-paper.pdf)
* [Performance counters](./gpu-arch/mi300-mi200-performance-counters.rst)
:::
:::{grid-item-card}
**AMD Instinct MI100**
Review hardware aspects of the AMD Instinct™ MI100 series of GPU accelerators and the CDNA™ 1
architecture.
* [AMD Instinct™ MI100 microarchitecture](./gpu-arch/mi100.md)
* [AMD Instinct MI100/CDNA1 ISA](https://www.amd.com/system/files/TechDocs/instinct-mi100-cdna1-shader-instruction-set-architecture%C2%A0.pdf)
* [White paper](https://www.amd.com/content/dam/amd/en/documents/instinct-business-docs/white-papers/amd-cdna-white-paper.pdf)
:::
:::{grid-item-card}
**RDNA**
* [AMD RDNA4 ISA](https://www.amd.com/content/dam/amd/en/documents/radeon-tech-docs/instruction-set-architectures/rdna4-instruction-set-architecture.pdf)
* [AMD RDNA3 ISA](https://www.amd.com/system/files/TechDocs/rdna3-shader-instruction-set-architecture-feb-2023_0.pdf)
* [AMD RDNA2 ISA](https://www.amd.com/system/files/TechDocs/rdna2-shader-instruction-set-architecture.pdf)
* [AMD RDNA ISA](https://www.amd.com/system/files/TechDocs/rdna-shader-instruction-set-architecture.pdf)
:::
:::{grid-item-card}
**Older architectures**
* [AMD Instinct MI50/Vega 7nm ISA](https://www.amd.com/system/files/TechDocs/vega-7nm-shader-instruction-set-architecture.pdf)
* [AMD Instinct MI25/Vega ISA](https://www.amd.com/system/files/TechDocs/vega-shader-instruction-set-architecture.pdf)
* [AMD GCN3 ISA](https://www.amd.com/system/files/TechDocs/gcn3-instruction-set-architecture.pdf)
* [AMD Vega Architecture White Paper](https://en.wikichip.org/w/images/a/a1/vega-whitepaper.pdf)
:::
:::::

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@@ -1,95 +0,0 @@
---
myst:
html_meta:
"description lang=en": "Learn about the AMD Instinct MI100 series architecture."
"keywords": "Instinct, MI100, microarchitecture, AMD, ROCm"
---
# AMD Instinct™ MI100 microarchitecture
The following image shows the node-level architecture of a system that
comprises two AMD EPYC™ processors and (up to) eight AMD Instinct™ accelerators.
The two EPYC processors are connected to each other with the AMD Infinity™
fabric which provides a high-bandwidth (up to 18 GT/sec) and coherent links such
that each processor can access the available node memory as a single
shared-memory domain in a non-uniform memory architecture (NUMA) fashion. In a
2P, or dual-socket, configuration, three AMD Infinity™ fabric links are
available to connect the processors plus one PCIe Gen 4 x16 link per processor
can attach additional I/O devices such as the host adapters for the network
fabric.
![Structure of a single GCD in the AMD Instinct MI100 accelerator](../../data/conceptual/gpu-arch/image004.png "Node-level system architecture with two AMD EPYC™ processors and eight AMD Instinct™ accelerators.")
In a typical node configuration, each processor can host up to four AMD
Instinct™ accelerators that are attached using PCIe Gen 4 links at 16 GT/sec,
which corresponds to a peak bidirectional link bandwidth of 32 GB/sec. Each hive
of four accelerators can participate in a fully connected, coherent AMD
Instinct™ fabric that connects the four accelerators using 23 GT/sec AMD
Infinity fabric links that run at a higher frequency than the inter-processor
links. This inter-GPU link can be established in certified server systems if the
GPUs are mounted in neighboring PCIe slots by installing the AMD Infinity
Fabric™ bridge for the AMD Instinct™ accelerators.
## Microarchitecture
The microarchitecture of the AMD Instinct accelerators is based on the AMD CDNA
architecture, which targets compute applications such as high-performance
computing (HPC) and AI & machine learning (ML) that run on everything from
individual servers to the world's largest exascale supercomputers. The overall
system architecture is designed for extreme scalability and compute performance.
![Structure of the AMD Instinct accelerator (MI100 generation)](../../data/conceptual/gpu-arch/image005.png "Structure of the AMD Instinct accelerator (MI100 generation)")
The above image shows the AMD Instinct accelerator with its PCIe Gen 4 x16
link (16 GT/sec, at the bottom) that connects the GPU to (one of) the host
processor(s). It also shows the three AMD Infinity Fabric ports that provide
high-speed links (23 GT/sec, also at the bottom) to the other GPUs of the local
hive.
On the left and right of the floor plan, the High Bandwidth Memory (HBM)
attaches via the GPU memory controller. The MI100 generation of the AMD
Instinct accelerator offers four stacks of HBM generation 2 (HBM2) for a total
of 32GB with a 4,096bit-wide memory interface. The peak memory bandwidth of the
attached HBM2 is 1.228 TB/sec at a memory clock frequency of 1.2 GHz.
The execution units of the GPU are depicted in the above image as Compute
Units (CU). There are a total 120 compute units that are physically organized
into eight Shader Engines (SE) with fifteen compute units per shader engine.
Each compute unit is further sub-divided into four SIMD units that process SIMD
instructions of 16 data elements per instruction. This enables the CU to process
64 data elements (a so-called 'wavefront') at a peak clock frequency of 1.5 GHz.
Therefore, the theoretical maximum FP64 peak performance is 11.5 TFLOPS
(`4 [SIMD units] x 16 [elements per instruction] x 120 [CU] x 1.5 [GHz]`).
![Block diagram of an MI100 compute unit with detailed SIMD view of the AMD CDNA architecture](../../data/conceptual/gpu-arch/image006.png "An MI100 compute unit with detailed SIMD view of the AMD CDNA architecture")
The preceding image shows the block diagram of a single CU of an AMD Instinct™
MI100 accelerator and summarizes how instructions flow through the execution
engines. The CU fetches the instructions via a 32KB instruction cache and moves
them forward to execution via a dispatcher. The CU can handle up to ten
wavefronts at a time and feed their instructions into the execution unit. The
execution unit contains 256 vector general-purpose registers (VGPR) and 800
scalar general-purpose registers (SGPR). The VGPR and SGPR are dynamically
allocated to the executing wavefronts. A wavefront can access a maximum of 102
scalar registers. Excess scalar-register usage will cause register spilling and
thus may affect execution performance.
A wavefront can occupy any number of VGPRs from 0 to 256, directly affecting
occupancy; that is, the number of concurrently active wavefronts in the CU. For
instance, with 119 VGPRs used, only two wavefronts can be active in the CU at
the same time. With the instruction latency of four cycles per SIMD instruction,
the occupancy should be as high as possible such that the compute unit can
improve execution efficiency by scheduling instructions from multiple
wavefronts.
:::{table} Peak-performance capabilities of MI100 for different data types.
:name: mi100-perf
| Computation and Data Type | FLOPS/CLOCK/CU | Peak TFLOPS |
| :------------------------ | :------------: | ----------: |
| Vector FP64 | 64 | 11.5 |
| Matrix FP32 | 256 | 46.1 |
| Vector FP32 | 128 | 23.1 |
| Matrix FP16 | 1024 | 184.6 |
| Matrix BF16 | 512 | 92.3 |
:::

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@@ -1,134 +0,0 @@
---
myst:
html_meta:
"description lang=en": "Learn about the AMD Instinct MI250 series architecture."
"keywords": "Instinct, MI250, microarchitecture, AMD, ROCm"
---
# AMD Instinct™ MI250 microarchitecture
The microarchitecture of the AMD Instinct MI250 accelerators is based on the
AMD CDNA 2 architecture that targets compute applications such as HPC,
artificial intelligence (AI), and machine learning (ML) and that run on
everything from individual servers to the worlds largest exascale
supercomputers. The overall system architecture is designed for extreme
scalability and compute performance.
The following image shows the components of a single Graphics Compute Die (GCD) of the CDNA 2 architecture. On the top and the bottom are AMD Infinity Fabric™
interfaces and their physical links that are used to connect the GPU die to the
other system-level components of the node (see also Section 2.2). Both
interfaces can drive four AMD Infinity Fabric links. One of the AMD Infinity
Fabric links of the controller at the bottom can be configured as a PCIe link.
Each of the AMD Infinity Fabric links between GPUs can run at up to 25 GT/sec,
which correlates to a peak transfer bandwidth of 50 GB/sec for a 16-wide link (
two bytes per transaction). Section 2.2 has more details on the number of AMD
Infinity Fabric links and the resulting transfer rates between the system-level
components.
To the left and the right are memory controllers that attach the High Bandwidth
Memory (HBM) modules to the GCD. AMD Instinct MI250 GPUs use HBM2e, which offers
a peak memory bandwidth of 1.6 TB/sec per GCD.
The execution units of the GPU are depicted in the following image as Compute
Units (CU). The MI250 GCD has 104 active CUs. Each compute unit is further
subdivided into four SIMD units that process SIMD instructions of 16 data
elements per instruction (for the FP64 data type). This enables the CU to
process 64 work items (a so-called “wavefront”) at a peak clock frequency of 1.7
GHz. Therefore, the theoretical maximum FP64 peak performance per GCD is 22.6
TFLOPS for vector instructions. This equates to 45.3 TFLOPS for vector instructions for both GCDs together. The MI250 compute units also provide specialized
execution units (also called matrix cores), which are geared toward executing
matrix operations like matrix-matrix multiplications. For FP64, the peak
performance of these units amounts to 90.5 TFLOPS.
![Structure of a single GCD in the AMD Instinct MI250 accelerator.](../../data/conceptual/gpu-arch/image001.png "Structure of a single GCD in the AMD Instinct MI250 accelerator.")
```{list-table} Peak-performance capabilities of the MI250 OAM for different data types.
:header-rows: 1
:name: mi250-perf-table
*
- Computation and Data Type
- FLOPS/CLOCK/CU
- Peak TFLOPS
*
- Matrix FP64
- 256
- 90.5
*
- Vector FP64
- 128
- 45.3
*
- Matrix FP32
- 256
- 90.5
*
- Packed FP32
- 256
- 90.5
*
- Vector FP32
- 128
- 45.3
*
- Matrix FP16
- 1024
- 362.1
*
- Matrix BF16
- 1024
- 362.1
*
- Matrix INT8
- 1024
- 362.1
```
The above table summarizes the aggregated peak performance of the AMD
Instinct MI250 OCP Open Accelerator Modules (OAM, OCP is short for Open Compute
Platform) and its two GCDs for different data types and execution units. The
middle column lists the peak performance (number of data elements processed in a
single instruction) of a single compute unit if a SIMD (or matrix) instruction
is being retired in each clock cycle. The third column lists the theoretical
peak performance of the OAM module. The theoretical aggregated peak memory
bandwidth of the GPU is 3.2 TB/sec (1.6 TB/sec per GCD).
![Dual-GCD architecture of the AMD Instinct MI250 accelerators](../../data/conceptual/gpu-arch/image002.png "Dual-GCD architecture of the AMD Instinct MI250 accelerators")
The following image shows the block diagram of an OAM package that consists
of two GCDs, each of which constitutes one GPU device in the system. The two
GCDs in the package are connected via four AMD Infinity Fabric links running at
a theoretical peak rate of 25 GT/sec, giving 200 GB/sec peak transfer bandwidth
between the two GCDs of an OAM, or a bidirectional peak transfer bandwidth of
400 GB/sec for the same.
## Node-level architecture
The following image shows the node-level architecture of a system that is
based on the AMD Instinct MI250 accelerator. The MI250 OAMs attach to the host
system via PCIe Gen 4 x16 links (yellow lines). Each GCD maintains its own PCIe
x16 link to the host part of the system. Depending on the server platform, the
GCD can attach to the AMD EPYC processor directly or via an optional PCIe switch
. Note that some platforms may offer an x8 interface to the GCDs, which reduces
the available host-to-GPU bandwidth.
![Block diagram of AMD Instinct MI250 Accelerators with 3rd Generation AMD EPYC processor](../../data/conceptual/gpu-arch/image003.png "Block diagram of AMD Instinct MI250 Accelerators with 3rd Generation AMD EPYC processor")
The preceding image shows the node-level architecture of a system with AMD
EPYC processors in a dual-socket configuration and four AMD Instinct MI250
accelerators. The MI250 OAMs attach to the host processors system via PCIe Gen 4
x16 links (yellow lines). Depending on the system design, a PCIe switch may
exist to make more PCIe lanes available for additional components like network
interfaces and/or storage devices. Each GCD maintains its own PCIe x16 link to
the host part of the system or to the PCIe switch. Please note, some platforms
may offer an x8 interface to the GCDs, which will reduce the available
host-to-GPU bandwidth.
Between the OAMs and their respective GCDs, a peer-to-peer (P2P) network allows
for direct data exchange between the GPU dies via AMD Infinity Fabric links (
black, green, and red lines). Each of these 16-wide links connects to one of the
two GPU dies in the MI250 OAM and operates at 25 GT/sec, which corresponds to a
theoretical peak transfer rate of 50 GB/sec per link (or 100 GB/sec
bidirectional peak transfer bandwidth). The GCD pairs 2 and 6 as well as GCDs 0
and 4 connect via two XGMI links, which is indicated by the thicker red line in
the preceding image.

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@@ -1,757 +0,0 @@
.. meta::
:description: MI300 and MI200 series performance counters and metrics
:keywords: MI300, MI200, performance counters, command processor counters
***************************************************************************************************
MI300 and MI200 series performance counters and metrics
***************************************************************************************************
This document lists and describes the hardware performance counters and derived metrics available
for the AMD Instinct™ MI300 and MI200 GPU. You can also access this information using the
:doc:`ROCProfiler tool <rocprofiler:rocprofv1>`.
MI300 and MI200 series performance counters
===============================================================
Series performance counters include the following categories:
* :ref:`command-processor-counters`
* :ref:`graphics-register-bus-manager-counters`
* :ref:`spi-counters`
* :ref:`compute-unit-counters`
* :ref:`l1i-and-sl1d-cache-counters`
* :ref:`vector-l1-cache-subsystem-counters`
* :ref:`l2-cache-access-counters`
The following sections provide additional details for each category.
.. note::
Preliminary validation of all MI300 and MI200 series performance counters is in progress. Those with
an asterisk (*) require further evaluation.
.. _command-processor-counters:
Command processor counters
---------------------------------------------------------------------------------------------------------------
Command processor counters are further classified into command processor-fetcher and command
processor-compute.
Command processor-fetcher counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``CPF_CMP_UTCL1_STALL_ON_TRANSLATION``", "Cycles", "Number of cycles one of the compute unified translation caches (L1) is stalled waiting on translation"
"``CPF_CPF_STAT_BUSY``", "Cycles", "Number of cycles command processor-fetcher is busy"
"``CPF_CPF_STAT_IDLE``", "Cycles", "Number of cycles command processor-fetcher is idle"
"``CPF_CPF_STAT_STALL``", "Cycles", "Number of cycles command processor-fetcher is stalled"
"``CPF_CPF_TCIU_BUSY``", "Cycles", "Number of cycles command processor-fetcher texture cache interface unit interface is busy"
"``CPF_CPF_TCIU_IDLE``", "Cycles", "Number of cycles command processor-fetcher texture cache interface unit interface is idle"
"``CPF_CPF_TCIU_STALL``", "Cycles", "Number of cycles command processor-fetcher texture cache interface unit interface is stalled waiting on free tags"
The texture cache interface unit is the interface between the command processor and the memory
system.
Command processor-compute counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``CPC_ME1_BUSY_FOR_PACKET_DECODE``", "Cycles", "Number of cycles command processor-compute micro engine is busy decoding packets"
"``CPC_UTCL1_STALL_ON_TRANSLATION``", "Cycles", "Number of cycles one of the unified translation caches (L1) is stalled waiting on translation"
"``CPC_CPC_STAT_BUSY``", "Cycles", "Number of cycles command processor-compute is busy"
"``CPC_CPC_STAT_IDLE``", "Cycles", "Number of cycles command processor-compute is idle"
"``CPC_CPC_STAT_STALL``", "Cycles", "Number of cycles command processor-compute is stalled"
"``CPC_CPC_TCIU_BUSY``", "Cycles", "Number of cycles command processor-compute texture cache interface unit interface is busy"
"``CPC_CPC_TCIU_IDLE``", "Cycles", "Number of cycles command processor-compute texture cache interface unit interface is idle"
"``CPC_CPC_UTCL2IU_BUSY``", "Cycles", "Number of cycles command processor-compute unified translation cache (L2) interface is busy"
"``CPC_CPC_UTCL2IU_IDLE``", "Cycles", "Number of cycles command processor-compute unified translation cache (L2) interface is idle"
"``CPC_CPC_UTCL2IU_STALL``", "Cycles", "Number of cycles command processor-compute unified translation cache (L2) interface is stalled"
"``CPC_ME1_DC0_SPI_BUSY``", "Cycles", "Number of cycles command processor-compute micro engine processor is busy"
The micro engine runs packet-processing firmware on the command processor-compute counter.
.. _graphics-register-bus-manager-counters:
Graphics register bus manager counters
---------------------------------------------------------------------------------------------------------------
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``GRBM_COUNT``", "Cycles","Number of free-running GPU cycles"
"``GRBM_GUI_ACTIVE``", "Cycles", "Number of GPU active cycles"
"``GRBM_CP_BUSY``", "Cycles", "Number of cycles any of the command processor blocks are busy"
"``GRBM_SPI_BUSY``", "Cycles", "Number of cycles any of the shader processor input is busy in the shader engines"
"``GRBM_TA_BUSY``", "Cycles", "Number of cycles any of the texture addressing unit is busy in the shader engines"
"``GRBM_TC_BUSY``", "Cycles", "Number of cycles any of the texture cache blocks are busy"
"``GRBM_CPC_BUSY``", "Cycles", "Number of cycles the command processor-compute is busy"
"``GRBM_CPF_BUSY``", "Cycles", "Number of cycles the command processor-fetcher is busy"
"``GRBM_UTCL2_BUSY``", "Cycles", "Number of cycles the unified translation cache (Level 2 [L2]) block is busy"
"``GRBM_EA_BUSY``", "Cycles", "Number of cycles the efficiency arbiter block is busy"
Texture cache blocks include:
* Texture cache arbiter
* Texture cache per pipe, also known as vector Level 1 (L1) cache
* Texture cache per channel, also known as known as L2 cache
* Texture cache interface
.. _spi-counters:
Shader processor input counters
---------------------------------------------------------------------------------------------------------------
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SPI_CSN_BUSY``", "Cycles", "Number of cycles with outstanding waves"
"``SPI_CSN_WINDOW_VALID``", "Cycles", "Number of cycles enabled by ``perfcounter_start`` event"
"``SPI_CSN_NUM_THREADGROUPS``", "Workgroups", "Number of dispatched workgroups"
"``SPI_CSN_WAVE``", "Wavefronts", "Number of dispatched wavefronts"
"``SPI_RA_REQ_NO_ALLOC``", "Cycles", "Number of arbiter cycles with requests but no allocation"
"``SPI_RA_REQ_NO_ALLOC_CSN``", "Cycles", "Number of arbiter cycles with compute shader (n\ :sup:`th` pipe) requests but no compute shader (n\ :sup:`th` pipe) allocation"
"``SPI_RA_RES_STALL_CSN``", "Cycles", "Number of arbiter stall cycles due to shortage of compute shader (n\ :sup:`th` pipe) pipeline slots"
"``SPI_RA_TMP_STALL_CSN``", "Cycles", "Number of stall cycles due to shortage of temp space"
"``SPI_RA_WAVE_SIMD_FULL_CSN``", "SIMD-cycles", "Accumulated number of single instruction, multiple data (SIMD) per cycle affected by shortage of wave slots for compute shader (n\ :sup:`th` pipe) wave dispatch"
"``SPI_RA_VGPR_SIMD_FULL_CSN``", "SIMD-cycles", "Accumulated number of SIMDs per cycle affected by shortage of vector general-purpose register (VGPR) slots for compute shader (n\ :sup:`th` pipe) wave dispatch"
"``SPI_RA_SGPR_SIMD_FULL_CSN``", "SIMD-cycles", "Accumulated number of SIMDs per cycle affected by shortage of scalar general-purpose register (SGPR) slots for compute shader (n\ :sup:`th` pipe) wave dispatch"
"``SPI_RA_LDS_CU_FULL_CSN``", "CU", "Number of compute units affected by shortage of local data share (LDS) space for compute shader (n\ :sup:`th` pipe) wave dispatch"
"``SPI_RA_BAR_CU_FULL_CSN``", "CU", "Number of compute units with compute shader (n\ :sup:`th` pipe) waves waiting at a BARRIER"
"``SPI_RA_BULKY_CU_FULL_CSN``", "CU", "Number of compute units with compute shader (n\ :sup:`th` pipe) waves waiting for BULKY resource"
"``SPI_RA_TGLIM_CU_FULL_CSN``", "Cycles", "Number of compute shader (n\ :sup:`th` pipe) wave stall cycles due to restriction of ``tg_limit`` for thread group size"
"``SPI_RA_WVLIM_STALL_CSN``", "Cycles", "Number of cycles compute shader (n\ :sup:`th` pipe) is stalled due to ``WAVE_LIMIT``"
"``SPI_VWC_CSC_WR``", "Qcycles", "Number of quad-cycles taken to initialize VGPRs when launching waves"
"``SPI_SWC_CSC_WR``", "Qcycles", "Number of quad-cycles taken to initialize SGPRs when launching waves"
.. _compute-unit-counters:
Compute unit counters
---------------------------------------------------------------------------------------------------------------
The compute unit counters are further classified into instruction mix, matrix fused multiply-add (FMA)
operation counters, level counters, wavefront counters, wavefront cycle counters, and LDS counters.
Instruction mix
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_INSTS``", "Instr", "Number of instructions issued"
"``SQ_INSTS_VALU``", "Instr", "Number of vector arithmetic logic unit (VALU) instructions including matrix FMA issued"
"``SQ_INSTS_VALU_ADD_F16``", "Instr", "Number of VALU half-precision floating-point (F16) ``ADD`` or ``SUB`` instructions issued"
"``SQ_INSTS_VALU_MUL_F16``", "Instr", "Number of VALU F16 Multiply instructions issued"
"``SQ_INSTS_VALU_FMA_F16``", "Instr", "Number of VALU F16 FMA or multiply-add instructions issued"
"``SQ_INSTS_VALU_TRANS_F16``", "Instr", "Number of VALU F16 Transcendental instructions issued"
"``SQ_INSTS_VALU_ADD_F32``", "Instr", "Number of VALU full-precision floating-point (F32) ``ADD`` or ``SUB`` instructions issued"
"``SQ_INSTS_VALU_MUL_F32``", "Instr", "Number of VALU F32 Multiply instructions issued"
"``SQ_INSTS_VALU_FMA_F32``", "Instr", "Number of VALU F32 FMAor multiply-add instructions issued"
"``SQ_INSTS_VALU_TRANS_F32``", "Instr", "Number of VALU F32 Transcendental instructions issued"
"``SQ_INSTS_VALU_ADD_F64``", "Instr", "Number of VALU F64 ``ADD`` or ``SUB`` instructions issued"
"``SQ_INSTS_VALU_MUL_F64``", "Instr", "Number of VALU F64 Multiply instructions issued"
"``SQ_INSTS_VALU_FMA_F64``", "Instr", "Number of VALU F64 FMA or multiply-add instructions issued"
"``SQ_INSTS_VALU_TRANS_F64``", "Instr", "Number of VALU F64 Transcendental instructions issued"
"``SQ_INSTS_VALU_INT32``", "Instr", "Number of VALU 32-bit integer instructions (signed or unsigned) issued"
"``SQ_INSTS_VALU_INT64``", "Instr", "Number of VALU 64-bit integer instructions (signed or unsigned) issued"
"``SQ_INSTS_VALU_CVT``", "Instr", "Number of VALU Conversion instructions issued"
"``SQ_INSTS_VALU_MFMA_I8``", "Instr", "Number of 8-bit Integer matrix FMA instructions issued"
"``SQ_INSTS_VALU_MFMA_F16``", "Instr", "Number of F16 matrix FMA instructions issued"
"``SQ_INSTS_VALU_MFMA_F32``", "Instr", "Number of F32 matrix FMA instructions issued"
"``SQ_INSTS_VALU_MFMA_F64``", "Instr", "Number of F64 matrix FMA instructions issued"
"``SQ_INSTS_MFMA``", "Instr", "Number of matrix FMA instructions issued"
"``SQ_INSTS_VMEM_WR``", "Instr", "Number of vector memory write instructions (including flat) issued"
"``SQ_INSTS_VMEM_RD``", "Instr", "Number of vector memory read instructions (including flat) issued"
"``SQ_INSTS_VMEM``", "Instr", "Number of vector memory instructions issued, including both flat and buffer instructions"
"``SQ_INSTS_SALU``", "Instr", "Number of scalar arithmetic logic unit (SALU) instructions issued"
"``SQ_INSTS_SMEM``", "Instr", "Number of scalar memory instructions issued"
"``SQ_INSTS_SMEM_NORM``", "Instr", "Number of scalar memory instructions normalized to match ``smem_level`` issued"
"``SQ_INSTS_FLAT``", "Instr", "Number of flat instructions issued"
"``SQ_INSTS_FLAT_LDS_ONLY``", "Instr", "**MI200 series only** Number of FLAT instructions that read/write only from/to LDS issued. Works only if ``EARLY_TA_DONE`` is enabled."
"``SQ_INSTS_LDS``", "Instr", "Number of LDS instructions issued **(MI200: includes flat; MI300: does not include flat)**"
"``SQ_INSTS_GDS``", "Instr", "Number of global data share instructions issued"
"``SQ_INSTS_EXP_GDS``", "Instr", "Number of EXP and global data share instructions excluding skipped export instructions issued"
"``SQ_INSTS_BRANCH``", "Instr", "Number of branch instructions issued"
"``SQ_INSTS_SENDMSG``", "Instr", "Number of ``SENDMSG`` instructions including ``s_endpgm`` issued"
"``SQ_INSTS_VSKIPPED``", "Instr", "Number of vector instructions skipped"
Flat instructions allow read, write, and atomic access to a generic memory address pointer that can
resolve to any of the following physical memories:
* Global Memory
* Scratch ("private")
* LDS ("shared")
* Invalid - ``MEM_VIOL`` TrapStatus
Matrix fused multiply-add operation counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_INSTS_VALU_MFMA_MOPS_I8``", "IOP", "Number of 8-bit integer matrix FMA ops in the unit of 512"
"``SQ_INSTS_VALU_MFMA_MOPS_F16``", "FLOP", "Number of F16 floating matrix FMA ops in the unit of 512"
"``SQ_INSTS_VALU_MFMA_MOPS_BF16``", "FLOP", "Number of BF16 floating matrix FMA ops in the unit of 512"
"``SQ_INSTS_VALU_MFMA_MOPS_F32``", "FLOP", "Number of F32 floating matrix FMA ops in the unit of 512"
"``SQ_INSTS_VALU_MFMA_MOPS_F64``", "FLOP", "Number of F64 floating matrix FMA ops in the unit of 512"
Level counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. note::
All level counters must be followed by ``SQ_ACCUM_PREV_HIRES`` counter to measure average latency.
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_ACCUM_PREV``", "Count", "Accumulated counter sample value where accumulation takes place once every four cycles"
"``SQ_ACCUM_PREV_HIRES``", "Count", "Accumulated counter sample value where accumulation takes place once every cycle"
"``SQ_LEVEL_WAVES``", "Waves", "Number of inflight waves"
"``SQ_INST_LEVEL_VMEM``", "Instr", "Number of inflight vector memory (including flat) instructions"
"``SQ_INST_LEVEL_SMEM``", "Instr", "Number of inflight scalar memory instructions"
"``SQ_INST_LEVEL_LDS``", "Instr", "Number of inflight LDS (including flat) instructions"
"``SQ_IFETCH_LEVEL``", "Instr", "Number of inflight instruction fetch requests from the cache"
Use the following formulae to calculate latencies:
* Vector memory latency = ``SQ_ACCUM_PREV_HIRES`` divided by ``SQ_INSTS_VMEM``
* Wave latency = ``SQ_ACCUM_PREV_HIRES`` divided by ``SQ_WAVE``
* LDS latency = ``SQ_ACCUM_PREV_HIRES`` divided by ``SQ_INSTS_LDS``
* Scalar memory latency = ``SQ_ACCUM_PREV_HIRES`` divided by ``SQ_INSTS_SMEM_NORM``
* Instruction fetch latency = ``SQ_ACCUM_PREV_HIRES`` divided by ``SQ_IFETCH``
Wavefront counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_WAVES``", "Waves", "Number of wavefronts dispatched to sequencers, including both new and restored wavefronts"
"``SQ_WAVES_SAVED``", "Waves", "Number of context-saved waves"
"``SQ_WAVES_RESTORED``", "Waves", "Number of context-restored waves sent to sequencers"
"``SQ_WAVES_EQ_64``", "Waves", "Number of wavefronts with exactly 64 active threads sent to sequencers"
"``SQ_WAVES_LT_64``", "Waves", "Number of wavefronts with less than 64 active threads sent to sequencers"
"``SQ_WAVES_LT_48``", "Waves", "Number of wavefronts with less than 48 active threads sent to sequencers"
"``SQ_WAVES_LT_32``", "Waves", "Number of wavefronts with less than 32 active threads sent to sequencers"
"``SQ_WAVES_LT_16``", "Waves", "Number of wavefronts with less than 16 active threads sent to sequencers"
Wavefront cycle counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_CYCLES``", "Cycles", "Clock cycles"
"``SQ_BUSY_CYCLES``", "Cycles", "Number of cycles while sequencers reports it to be busy"
"``SQ_BUSY_CU_CYCLES``", "Qcycles", "Number of quad-cycles each compute unit is busy"
"``SQ_VALU_MFMA_BUSY_CYCLES``", "Cycles", "Number of cycles the matrix FMA arithmetic logic unit (ALU) is busy"
"``SQ_WAVE_CYCLES``", "Qcycles", "Number of quad-cycles spent by waves in the compute units"
"``SQ_WAIT_ANY``", "Qcycles", "Number of quad-cycles spent waiting for anything"
"``SQ_WAIT_INST_ANY``", "Qcycles", "Number of quad-cycles spent waiting for any instruction to be issued"
"``SQ_ACTIVE_INST_ANY``", "Qcycles", "Number of quad-cycles spent by each wave to work on an instruction"
"``SQ_ACTIVE_INST_VMEM``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on a vector memory instruction"
"``SQ_ACTIVE_INST_LDS``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on an LDS instruction"
"``SQ_ACTIVE_INST_VALU``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on a VALU instruction"
"``SQ_ACTIVE_INST_SCA``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on a SALU or scalar memory instruction"
"``SQ_ACTIVE_INST_EXP_GDS``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on an ``EXPORT`` or ``GDS`` instruction"
"``SQ_ACTIVE_INST_MISC``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on a ``BRANCH`` or ``SENDMSG`` instruction"
"``SQ_ACTIVE_INST_FLAT``", "Qcycles", "Number of quad-cycles spent by the sequencer instruction arbiter to work on a flat instruction"
"``SQ_INST_CYCLES_VMEM_WR``", "Qcycles", "Number of quad-cycles spent to send addr and cmd data for vector memory write instructions"
"``SQ_INST_CYCLES_VMEM_RD``", "Qcycles", "Number of quad-cycles spent to send addr and cmd data for vector memory read instructions"
"``SQ_INST_CYCLES_SMEM``", "Qcycles", "Number of quad-cycles spent to execute scalar memory reads"
"``SQ_INST_CYCLES_SALU``", "Qcycles", "Number of quad-cycles spent to execute non-memory read scalar operations"
"``SQ_THREAD_CYCLES_VALU``", "Qcycles", "Number of quad-cycles spent to execute VALU operations on active threads"
"``SQ_WAIT_INST_LDS``", "Qcycles", "Number of quad-cycles spent waiting for LDS instruction to be issued"
``SQ_THREAD_CYCLES_VALU`` is similar to ``INST_CYCLES_VALU``, but it's multiplied by the number of
active threads.
LDS counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_LDS_ATOMIC_RETURN``", "Cycles", "Number of atomic return cycles in LDS"
"``SQ_LDS_BANK_CONFLICT``", "Cycles", "Number of cycles LDS is stalled by bank conflicts"
"``SQ_LDS_ADDR_CONFLICT``", "Cycles", "Number of cycles LDS is stalled by address conflicts"
"``SQ_LDS_UNALIGNED_STALL``", "Cycles", "Number of cycles LDS is stalled processing flat unaligned load or store operations"
"``SQ_LDS_MEM_VIOLATIONS``", "Count", "Number of threads that have a memory violation in the LDS"
"``SQ_LDS_IDX_ACTIVE``", "Cycles", "Number of cycles LDS is used for indexed operations"
Miscellaneous counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQ_IFETCH``", "Count", "Number of instruction fetch requests from L1i, in 32-byte width"
"``SQ_ITEMS``", "Threads", "Number of valid items per wave"
.. _l1i-and-sl1d-cache-counters:
L1 instruction cache (L1i) and scalar L1 data cache (L1d) counters
---------------------------------------------------------------------------------------------------------------
.. csv-table::
:header: "Hardware counter", "Unit", "Definition"
"``SQC_ICACHE_REQ``", "Req", "Number of L1 instruction (L1i) cache requests"
"``SQC_ICACHE_HITS``", "Count", "Number of L1i cache hits"
"``SQC_ICACHE_MISSES``", "Count", "Number of non-duplicate L1i cache misses including uncached requests"
"``SQC_ICACHE_MISSES_DUPLICATE``", "Count", "Number of duplicate L1i cache misses whose previous lookup miss on the same cache line is not fulfilled yet"
"``SQC_DCACHE_REQ``", "Req", "Number of scalar L1d requests"
"``SQC_DCACHE_INPUT_VALID_READYB``", "Cycles", "Number of cycles while sequencer input is valid but scalar L1d is not ready"
"``SQC_DCACHE_HITS``", "Count", "Number of scalar L1d hits"
"``SQC_DCACHE_MISSES``", "Count", "Number of non-duplicate scalar L1d misses including uncached requests"
"``SQC_DCACHE_MISSES_DUPLICATE``", "Count", "Number of duplicate scalar L1d misses"
"``SQC_DCACHE_REQ_READ_1``", "Req", "Number of constant cache read requests in a single 32-bit data word"
"``SQC_DCACHE_REQ_READ_2``", "Req", "Number of constant cache read requests in two 32-bit data words"
"``SQC_DCACHE_REQ_READ_4``", "Req", "Number of constant cache read requests in four 32-bit data words"
"``SQC_DCACHE_REQ_READ_8``", "Req", "Number of constant cache read requests in eight 32-bit data words"
"``SQC_DCACHE_REQ_READ_16``", "Req", "Number of constant cache read requests in 16 32-bit data words"
"``SQC_DCACHE_ATOMIC``", "Req", "Number of atomic requests"
"``SQC_TC_REQ``", "Req", "Number of texture cache requests that were issued by instruction and constant caches"
"``SQC_TC_INST_REQ``", "Req", "Number of instruction requests to the L2 cache"
"``SQC_TC_DATA_READ_REQ``", "Req", "Number of data Read requests to the L2 cache"
"``SQC_TC_DATA_WRITE_REQ``", "Req", "Number of data write requests to the L2 cache"
"``SQC_TC_DATA_ATOMIC_REQ``", "Req", "Number of data atomic requests to the L2 cache"
"``SQC_TC_STALL``", "Cycles", "Number of cycles while the valid requests to the L2 cache are stalled"
.. _vector-l1-cache-subsystem-counters:
Vector L1 cache subsystem counters
---------------------------------------------------------------------------------------------------------------
The vector L1 cache subsystem counters are further classified into texture addressing unit, texture data
unit, vector L1d or texture cache per pipe, and texture cache arbiter counters.
Texture addressing unit counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TA_TA_BUSY[n]``", "Cycles", "Texture addressing unit busy cycles", "0-15"
"``TA_TOTAL_WAVEFRONTS[n]``", "Instr", "Number of wavefronts processed by texture addressing unit", "0-15"
"``TA_BUFFER_WAVEFRONTS[n]``", "Instr", "Number of buffer wavefronts processed by texture addressing unit", "0-15"
"``TA_BUFFER_READ_WAVEFRONTS[n]``", "Instr", "Number of buffer read wavefronts processed by texture addressing unit", "0-15"
"``TA_BUFFER_WRITE_WAVEFRONTS[n]``", "Instr", "Number of buffer write wavefronts processed by texture addressing unit", "0-15"
"``TA_BUFFER_ATOMIC_WAVEFRONTS[n]``", "Instr", "Number of buffer atomic wavefronts processed by texture addressing unit", "0-15"
"``TA_BUFFER_TOTAL_CYCLES[n]``", "Cycles", "Number of buffer cycles (including read and write) issued to texture cache", "0-15"
"``TA_BUFFER_COALESCED_READ_CYCLES[n]``", "Cycles", "Number of coalesced buffer read cycles issued to texture cache", "0-15"
"``TA_BUFFER_COALESCED_WRITE_CYCLES[n]``", "Cycles", "Number of coalesced buffer write cycles issued to texture cache", "0-15"
"``TA_ADDR_STALLED_BY_TC_CYCLES[n]``", "Cycles", "Number of cycles texture addressing unit address path is stalled by texture cache", "0-15"
"``TA_DATA_STALLED_BY_TC_CYCLES[n]``", "Cycles", "Number of cycles texture addressing unit data path is stalled by texture cache", "0-15"
"``TA_ADDR_STALLED_BY_TD_CYCLES[n]``", "Cycles", "Number of cycles texture addressing unit address path is stalled by texture data unit", "0-15"
"``TA_FLAT_WAVEFRONTS[n]``", "Instr", "Number of flat opcode wavefronts processed by texture addressing unit", "0-15"
"``TA_FLAT_READ_WAVEFRONTS[n]``", "Instr", "Number of flat opcode read wavefronts processed by texture addressing unit", "0-15"
"``TA_FLAT_WRITE_WAVEFRONTS[n]``", "Instr", "Number of flat opcode write wavefronts processed by texture addressing unit", "0-15"
"``TA_FLAT_ATOMIC_WAVEFRONTS[n]``", "Instr", "Number of flat opcode atomic wavefronts processed by texture addressing unit", "0-15"
Texture data unit counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TD_TD_BUSY[n]``", "Cycle", "Texture data unit busy cycles while it is processing or waiting for data", "0-15"
"``TD_TC_STALL[n]``", "Cycle", "Number of cycles texture data unit is stalled waiting for texture cache data", "0-15"
"``TD_SPI_STALL[n]``", "Cycle", "Number of cycles texture data unit is stalled by shader processor input", "0-15"
"``TD_LOAD_WAVEFRONT[n]``", "Instr", "Number of wavefront instructions (read, write, atomic)", "0-15"
"``TD_STORE_WAVEFRONT[n]``", "Instr", "Number of write wavefront instructions", "0-15"
"``TD_ATOMIC_WAVEFRONT[n]``", "Instr", "Number of atomic wavefront instructions", "0-15"
"``TD_COALESCABLE_WAVEFRONT[n]``", "Instr", "Number of coalescable wavefronts according to texture addressing unit", "0-15"
Texture cache per pipe counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TCP_GATE_EN1[n]``", "Cycles", "Number of cycles vector L1d interface clocks are turned on", "0-15"
"``TCP_GATE_EN2[n]``", "Cycles", "Number of cycles vector L1d core clocks are turned on", "0-15"
"``TCP_TD_TCP_STALL_CYCLES[n]``", "Cycles", "Number of cycles texture data unit stalls vector L1d", "0-15"
"``TCP_TCR_TCP_STALL_CYCLES[n]``", "Cycles", "Number of cycles texture cache router stalls vector L1d", "0-15"
"``TCP_READ_TAGCONFLICT_STALL_CYCLES[n]``", "Cycles", "Number of cycles tag RAM conflict stalls on a read", "0-15"
"``TCP_WRITE_TAGCONFLICT_STALL_CYCLES[n]``", "Cycles", "Number of cycles tag RAM conflict stalls on a write", "0-15"
"``TCP_ATOMIC_TAGCONFLICT_STALL_CYCLES[n]``", "Cycles", "Number of cycles tag RAM conflict stalls on an atomic", "0-15"
"``TCP_PENDING_STALL_CYCLES[n]``", "Cycles", "Number of cycles vector L1d is stalled due to data pending from L2 Cache", "0-15"
"``TCP_TCP_TA_DATA_STALL_CYCLES``", "Cycles", "Number of cycles texture cache per pipe stalls texture addressing unit data interface", "NA"
"``TCP_TA_TCP_STATE_READ[n]``", "Req", "Number of state reads", "0-15"
"``TCP_VOLATILE[n]``", "Req", "Number of L1 volatile pixels or buffers from texture addressing unit", "0-15"
"``TCP_TOTAL_ACCESSES[n]``", "Req", "Number of vector L1d accesses. Equals ``TCP_PERF_SEL_TOTAL_READ`+`TCP_PERF_SEL_TOTAL_NONREAD``", "0-15"
"``TCP_TOTAL_READ[n]``", "Req", "Number of vector L1d read accesses", "0-15"
"``TCP_TOTAL_WRITE[n]``", "Req", "Number of vector L1d write accesses", "0-15"
"``TCP_TOTAL_ATOMIC_WITH_RET[n]``", "Req", "Number of vector L1d atomic requests with return", "0-15"
"``TCP_TOTAL_ATOMIC_WITHOUT_RET[n]``", "Req", "Number of vector L1d atomic without return", "0-15"
"``TCP_TOTAL_WRITEBACK_INVALIDATES[n]``", "Count", "Total number of vector L1d writebacks and invalidates", "0-15"
"``TCP_UTCL1_REQUEST[n]``", "Req", "Number of address translation requests to unified translation cache (L1)", "0-15"
"``TCP_UTCL1_TRANSLATION_HIT[n]``", "Req", "Number of unified translation cache (L1) translation hits", "0-15"
"``TCP_UTCL1_TRANSLATION_MISS[n]``", "Req", "Number of unified translation cache (L1) translation misses", "0-15"
"``TCP_UTCL1_PERMISSION_MISS[n]``", "Req", "Number of unified translation cache (L1) permission misses", "0-15"
"``TCP_TOTAL_CACHE_ACCESSES[n]``", "Req", "Number of vector L1d cache accesses including hits and misses", "0-15"
"``TCP_TCP_LATENCY[n]``", "Cycles", "**MI200 series only** Accumulated wave access latency to vL1D over all wavefronts", "0-15"
"``TCP_TCC_READ_REQ_LATENCY[n]``", "Cycles", "**MI200 series only** Total vL1D to L2 request latency over all wavefronts for reads and atomics with return", "0-15"
"``TCP_TCC_WRITE_REQ_LATENCY[n]``", "Cycles", "**MI200 series only** Total vL1D to L2 request latency over all wavefronts for writes and atomics without return", "0-15"
"``TCP_TCC_READ_REQ[n]``", "Req", "Number of read requests to L2 cache", "0-15"
"``TCP_TCC_WRITE_REQ[n]``", "Req", "Number of write requests to L2 cache", "0-15"
"``TCP_TCC_ATOMIC_WITH_RET_REQ[n]``", "Req", "Number of atomic requests to L2 cache with return", "0-15"
"``TCP_TCC_ATOMIC_WITHOUT_RET_REQ[n]``", "Req", "Number of atomic requests to L2 cache without return", "0-15"
"``TCP_TCC_NC_READ_REQ[n]``", "Req", "Number of non-coherently cached read requests to L2 cache", "0-15"
"``TCP_TCC_UC_READ_REQ[n]``", "Req", "Number of uncached read requests to L2 cache", "0-15"
"``TCP_TCC_CC_READ_REQ[n]``", "Req", "Number of coherently cached read requests to L2 cache", "0-15"
"``TCP_TCC_RW_READ_REQ[n]``", "Req", "Number of coherently cached with write read requests to L2 cache", "0-15"
"``TCP_TCC_NC_WRITE_REQ[n]``", "Req", "Number of non-coherently cached write requests to L2 cache", "0-15"
"``TCP_TCC_UC_WRITE_REQ[n]``", "Req", "Number of uncached write requests to L2 cache", "0-15"
"``TCP_TCC_CC_WRITE_REQ[n]``", "Req", "Number of coherently cached write requests to L2 cache", "0-15"
"``TCP_TCC_RW_WRITE_REQ[n]``", "Req", "Number of coherently cached with write write requests to L2 cache", "0-15"
"``TCP_TCC_NC_ATOMIC_REQ[n]``", "Req", "Number of non-coherently cached atomic requests to L2 cache", "0-15"
"``TCP_TCC_UC_ATOMIC_REQ[n]``", "Req", "Number of uncached atomic requests to L2 cache", "0-15"
"``TCP_TCC_CC_ATOMIC_REQ[n]``", "Req", "Number of coherently cached atomic requests to L2 cache", "0-15"
"``TCP_TCC_RW_ATOMIC_REQ[n]``", "Req", "Number of coherently cached with write atomic requests to L2 cache", "0-15"
Note that:
* ``TCP_TOTAL_READ[n]`` = ``TCP_PERF_SEL_TOTAL_HIT_LRU_READ`` + ``TCP_PERF_SEL_TOTAL_MISS_LRU_READ`` + ``TCP_PERF_SEL_TOTAL_MISS_EVICT_READ``
* ``TCP_TOTAL_WRITE[n]`` = ``TCP_PERF_SEL_TOTAL_MISS_LRU_WRITE``+ ``TCP_PERF_SEL_TOTAL_MISS_EVICT_WRITE``
* ``TCP_TOTAL_WRITEBACK_INVALIDATES[n]`` = ``TCP_PERF_SEL_TOTAL_WBINVL1``+ ``TCP_PERF_SEL_TOTAL_WBINVL1_VOL``+ ``TCP_PERF_SEL_CP_TCP_INVALIDATE``+ ``TCP_PERF_SEL_SQ_TCP_INVALIDATE_VOL``
Texture cache arbiter counters
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TCA_CYCLE[n]``", "Cycles", "Number of texture cache arbiter cycles", "0-31"
"``TCA_BUSY[n]``", "Cycles", "Number of cycles texture cache arbiter has a pending request", "0-31"
.. _l2-cache-access-counters:
L2 cache access counters
---------------------------------------------------------------------------------------------------------------
L2 cache is also known as texture cache per channel.
.. tab-set::
.. tab-item:: MI300 hardware counter
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TCC_CYCLE[n]``", "Cycles", "Number of L2 cache free-running clocks", "0-31"
"``TCC_BUSY[n]``", "Cycles", "Number of L2 cache busy cycles", "0-31"
"``TCC_REQ[n]``", "Req", "Number of L2 cache requests of all types (measured at the tag block)", "0-31"
"``TCC_STREAMING_REQ[n]``", "Req", "Number of L2 cache streaming requests (measured at the tag block)", "0-31"
"``TCC_NC_REQ[n]``", "Req", "Number of non-coherently cached requests (measured at the tag block)", "0-31"
"``TCC_UC_REQ[n]``", "Req", "Number of uncached requests. This is measured at the tag block", "0-31"
"``TCC_CC_REQ[n]``", "Req", "Number of coherently cached requests. This is measured at the tag block", "0-31"
"``TCC_RW_REQ[n]``", "Req", "Number of coherently cached with write requests. This is measured at the tag block", "0-31"
"``TCC_PROBE[n]``", "Req", "Number of probe requests", "0-31"
"``TCC_PROBE_ALL[n]``", "Req", "Number of external probe requests with ``EA_TCC_preq_all == 1``", "0-31"
"``TCC_READ[n]``", "Req", "Number of L2 cache read requests (includes compressed reads but not metadata reads)", "0-31"
"``TCC_WRITE[n]``", "Req", "Number of L2 cache write requests", "0-31"
"``TCC_ATOMIC[n]``", "Req", "Number of L2 cache atomic requests of all types", "0-31"
"``TCC_HIT[n]``", "Req", "Number of L2 cache hits", "0-31"
"``TCC_MISS[n]``", "Req", "Number of L2 cache misses", "0-31"
"``TCC_WRITEBACK[n]``", "Req", "Number of lines written back to the main memory, including writebacks of dirty lines and uncached write or atomic requests", "0-31"
"``TCC_EA0_WRREQ[n]``", "Req", "Number of 32-byte and 64-byte transactions going over the ``TC_EA_wrreq`` interface (doesn't include probe commands)", "0-31"
"``TCC_EA0_WRREQ_64B[n]``", "Req", "Total number of 64-byte transactions (write or ``CMPSWAP``) going over the ``TC_EA_wrreq`` interface", "0-31"
"``TCC_EA0_WR_UNCACHED_32B[n]``", "Req", "Number of 32 or 64-byte write or atomic going over the ``TC_EA_wrreq`` interface due to uncached traffic", "0-31"
"``TCC_EA0_WRREQ_STALL[n]``", "Cycles", "Number of cycles a write request is stalled", "0-31"
"``TCC_EA0_WRREQ_IO_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of input-output (IO) credits", "0-31"
"``TCC_EA0_WRREQ_GMI_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of GMI credits", "0-31"
"``TCC_EA0_WRREQ_DRAM_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of DRAM credits", "0-31"
"``TCC_TOO_MANY_EA_WRREQS_STALL[n]``", "Cycles", "Number of cycles the L2 cache is unable to send an efficiency arbiter write request due to it reaching its maximum capacity of pending efficiency arbiter write requests", "0-31"
"``TCC_EA0_WRREQ_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter write requests in flight", "0-31"
"``TCC_EA0_ATOMIC[n]``", "Req", "Number of 32-byte or 64-byte atomic requests going over the ``TC_EA_wrreq`` interface", "0-31"
"``TCC_EA0_ATOMIC_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter atomic requests in flight", "0-31"
"``TCC_EA0_RDREQ[n]``", "Req", "Number of 32-byte or 64-byte read requests to efficiency arbiter", "0-31"
"``TCC_EA0_RDREQ_32B[n]``", "Req", "Number of 32-byte read requests to efficiency arbiter", "0-31"
"``TCC_EA0_RD_UNCACHED_32B[n]``", "Req", "Number of 32-byte efficiency arbiter reads due to uncached traffic. A 64-byte request is counted as 2", "0-31"
"``TCC_EA0_RDREQ_IO_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of IO credits", "0-31"
"``TCC_EA0_RDREQ_GMI_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of GMI credits", "0-31"
"``TCC_EA0_RDREQ_DRAM_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of DRAM credits", "0-31"
"``TCC_EA0_RDREQ_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter read requests in flight", "0-31"
"``TCC_EA0_RDREQ_DRAM[n]``", "Req", "Number of 32-byte or 64-byte efficiency arbiter read requests to High Bandwidth Memory (HBM)", "0-31"
"``TCC_EA0_WRREQ_DRAM[n]``", "Req", "Number of 32-byte or 64-byte efficiency arbiter write requests to HBM", "0-31"
"``TCC_TAG_STALL[n]``", "Cycles", "Number of cycles the normal request pipeline in the tag is stalled for any reason", "0-31"
"``TCC_NORMAL_WRITEBACK[n]``", "Req", "Number of writebacks due to requests that are not writeback requests", "0-31"
"``TCC_ALL_TC_OP_WB_WRITEBACK[n]``", "Req", "Number of writebacks due to all ``TC_OP`` writeback requests", "0-31"
"``TCC_NORMAL_EVICT[n]``", "Req", "Number of evictions due to requests that are not invalidate or probe requests", "0-31"
"``TCC_ALL_TC_OP_INV_EVICT[n]``", "Req", "Number of evictions due to all ``TC_OP`` invalidate requests", "0-31"
.. tab-item:: MI200 hardware counter
.. csv-table::
:header: "Hardware counter", "Unit", "Definition", "Value range for ``n``"
"``TCC_CYCLE[n]``", "Cycles", "Number of L2 cache free-running clocks", "0-31"
"``TCC_BUSY[n]``", "Cycles", "Number of L2 cache busy cycles", "0-31"
"``TCC_REQ[n]``", "Req", "Number of L2 cache requests of all types (measured at the tag block)", "0-31"
"``TCC_STREAMING_REQ[n]``", "Req", "Number of L2 cache streaming requests (measured at the tag block)", "0-31"
"``TCC_NC_REQ[n]``", "Req", "Number of non-coherently cached requests (measured at the tag block)", "0-31"
"``TCC_UC_REQ[n]``", "Req", "Number of uncached requests. This is measured at the tag block", "0-31"
"``TCC_CC_REQ[n]``", "Req", "Number of coherently cached requests. This is measured at the tag block", "0-31"
"``TCC_RW_REQ[n]``", "Req", "Number of coherently cached with write requests. This is measured at the tag block", "0-31"
"``TCC_PROBE[n]``", "Req", "Number of probe requests", "0-31"
"``TCC_PROBE_ALL[n]``", "Req", "Number of external probe requests with ``EA_TCC_preq_all == 1``", "0-31"
"``TCC_READ[n]``", "Req", "Number of L2 cache read requests (includes compressed reads but not metadata reads)", "0-31"
"``TCC_WRITE[n]``", "Req", "Number of L2 cache write requests", "0-31"
"``TCC_ATOMIC[n]``", "Req", "Number of L2 cache atomic requests of all types", "0-31"
"``TCC_HIT[n]``", "Req", "Number of L2 cache hits", "0-31"
"``TCC_MISS[n]``", "Req", "Number of L2 cache misses", "0-31"
"``TCC_WRITEBACK[n]``", "Req", "Number of lines written back to the main memory, including writebacks of dirty lines and uncached write or atomic requests", "0-31"
"``TCC_EA_WRREQ[n]``", "Req", "Number of 32-byte and 64-byte transactions going over the ``TC_EA_wrreq`` interface (doesn't include probe commands)", "0-31"
"``TCC_EA_WRREQ_64B[n]``", "Req", "Total number of 64-byte transactions (write or ``CMPSWAP``) going over the ``TC_EA_wrreq`` interface", "0-31"
"``TCC_EA_WR_UNCACHED_32B[n]``", "Req", "Number of 32 write or atomic going over the ``TC_EA_wrreq`` interface due to uncached traffic. A 64-byte request will be counted as 2", "0-31"
"``TCC_EA_WRREQ_STALL[n]``", "Cycles", "Number of cycles a write request is stalled", "0-31"
"``TCC_EA_WRREQ_IO_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of input-output (IO) credits", "0-31"
"``TCC_EA_WRREQ_GMI_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of GMI credits", "0-31"
"``TCC_EA_WRREQ_DRAM_CREDIT_STALL[n]``", "Cycles", "Number of cycles an efficiency arbiter write request is stalled due to the interface running out of DRAM credits", "0-31"
"``TCC_TOO_MANY_EA_WRREQS_STALL[n]``", "Cycles", "Number of cycles the L2 cache is unable to send an efficiency arbiter write request due to it reaching its maximum capacity of pending efficiency arbiter write requests", "0-31"
"``TCC_EA_WRREQ_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter write requests in flight", "0-31"
"``TCC_EA_ATOMIC[n]``", "Req", "Number of 32-byte or 64-byte atomic requests going over the ``TC_EA_wrreq`` interface", "0-31"
"``TCC_EA_ATOMIC_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter atomic requests in flight", "0-31"
"``TCC_EA_RDREQ[n]``", "Req", "Number of 32-byte or 64-byte read requests to efficiency arbiter", "0-31"
"``TCC_EA_RDREQ_32B[n]``", "Req", "Number of 32-byte read requests to efficiency arbiter", "0-31"
"``TCC_EA_RD_UNCACHED_32B[n]``", "Req", "Number of 32-byte efficiency arbiter reads due to uncached traffic. A 64-byte request is counted as 2", "0-31"
"``TCC_EA_RDREQ_IO_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of IO credits", "0-31"
"``TCC_EA_RDREQ_GMI_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of GMI credits", "0-31"
"``TCC_EA_RDREQ_DRAM_CREDIT_STALL[n]``", "Cycles", "Number of cycles there is a stall due to the read request interface running out of DRAM credits", "0-31"
"``TCC_EA_RDREQ_LEVEL[n]``", "Req", "The accumulated number of efficiency arbiter read requests in flight", "0-31"
"``TCC_EA_RDREQ_DRAM[n]``", "Req", "Number of 32-byte or 64-byte efficiency arbiter read requests to High Bandwidth Memory (HBM)", "0-31"
"``TCC_EA_WRREQ_DRAM[n]``", "Req", "Number of 32-byte or 64-byte efficiency arbiter write requests to HBM", "0-31"
"``TCC_TAG_STALL[n]``", "Cycles", "Number of cycles the normal request pipeline in the tag is stalled for any reason", "0-31"
"``TCC_NORMAL_WRITEBACK[n]``", "Req", "Number of writebacks due to requests that are not writeback requests", "0-31"
"``TCC_ALL_TC_OP_WB_WRITEBACK[n]``", "Req", "Number of writebacks due to all ``TC_OP`` writeback requests", "0-31"
"``TCC_NORMAL_EVICT[n]``", "Req", "Number of evictions due to requests that are not invalidate or probe requests", "0-31"
"``TCC_ALL_TC_OP_INV_EVICT[n]``", "Req", "Number of evictions due to all ``TC_OP`` invalidate requests", "0-31"
Note the following:
* ``TCC_REQ[n]`` may be more than the number of requests arriving at the texture cache per channel,
but it's a good indication of the total amount of work that needs to be performed.
* For ``TCC_EA0_WRREQ[n]``, atomics may travel over the same interface and are generally classified as
write requests.
* CC mtypes can produce uncached requests, and those are included in
``TCC_EA0_WR_UNCACHED_32B[n]``
* ``TCC_EA0_WRREQ_LEVEL[n]`` is primarily intended to measure average efficiency arbiter write latency.
* Average write latency = ``TCC_PERF_SEL_EA0_WRREQ_LEVEL`` divided by ``TCC_PERF_SEL_EA0_WRREQ``
* ``TCC_EA0_ATOMIC_LEVEL[n]`` is primarily intended to measure average efficiency arbiter atomic
latency
* Average atomic latency = ``TCC_PERF_SEL_EA0_WRREQ_ATOMIC_LEVEL`` divided by ``TCC_PERF_SEL_EA0_WRREQ_ATOMIC``
* ``TCC_EA0_RDREQ_LEVEL[n]`` is primarily intended to measure average efficiency arbiter read latency.
* Average read latency = ``TCC_PERF_SEL_EA0_RDREQ_LEVEL`` divided by ``TCC_PERF_SEL_EA0_RDREQ``
* Stalls can occur regardless of the need for a read to be performed
* Normally, stalls are measured exactly at one point in the pipeline however in the case of
``TCC_TAG_STALL[n]``, probes can stall the pipeline at a variety of places. There is no single point that
can accurately measure the total stalls
MI300 and MI200 series derived metrics list
==============================================================
.. csv-table::
:header: "Hardware counter", "Definition"
"``ALUStalledByLDS``", "Percentage of GPU time ALU units are stalled due to the LDS input queue being full or the output queue not being ready (value range: 0% (optimal) to 100%)"
"``FetchSize``", "Total kilobytes fetched from the video memory; measured with all extra fetches and any cache or memory effects taken into account"
"``FlatLDSInsts``", "Average number of flat instructions that read from or write to LDS, run per work item (affected by flow control)"
"``FlatVMemInsts``", "Average number of flat instructions that read from or write to the video memory, run per work item (affected by flow control). Includes flat instructions that read from or write to scratch"
"``GDSInsts``", "Average number of global data share read or write instructions run per work item (affected by flow control)"
"``GPUBusy``", "Percentage of time GPU is busy"
"``L2CacheHit``", "Percentage of fetch, write, atomic, and other instructions that hit the data in L2 cache (value range: 0% (no hit) to 100% (optimal))"
"``LDSBankConflict``", "Percentage of GPU time LDS is stalled by bank conflicts (value range: 0% (optimal) to 100%)"
"``LDSInsts``", "Average number of LDS read or write instructions run per work item (affected by flow control). Excludes flat instructions that read from or write to LDS."
"``MemUnitBusy``", "Percentage of GPU time the memory unit is active, which is measured with all extra fetches and writes and any cache or memory effects taken into account (value range: 0% to 100% (fetch-bound))"
"``MemUnitStalled``", "Percentage of GPU time the memory unit is stalled (value range: 0% (optimal) to 100%)"
"``MemWrites32B``", "Total number of effective 32B write transactions to the memory"
"``TCA_BUSY_sum``", "Total number of cycles texture cache arbiter has a pending request, over all texture cache arbiter instances"
"``TCA_CYCLE_sum``", "Total number of cycles over all texture cache arbiter instances"
"``SALUBusy``", "Percentage of GPU time scalar ALU instructions are processed (value range: 0% to 100% (optimal))"
"``SALUInsts``", "Average number of scalar ALU instructions run per work item (affected by flow control)"
"``SFetchInsts``", "Average number of scalar fetch instructions from the video memory run per work item (affected by flow control)"
"``VALUBusy``", "Percentage of GPU time vector ALU instructions are processed (value range: 0% to 100% (optimal))"
"``VALUInsts``", "Average number of vector ALU instructions run per work item (affected by flow control)"
"``VALUUtilization``", "Percentage of active vector ALU threads in a wave, where a lower number can mean either more thread divergence in a wave or that the work-group size is not a multiple of 64 (value range: 0%, 100% (optimal - no thread divergence))"
"``VFetchInsts``", "Average number of vector fetch instructions from the video memory run per work-item (affected by flow control); excludes flat instructions that fetch from video memory"
"``VWriteInsts``", "Average number of vector write instructions to the video memory run per work-item (affected by flow control); excludes flat instructions that write to video memory"
"``Wavefronts``", "Total wavefronts"
"``WRITE_REQ_32B``", "Total number of 32-byte effective memory writes"
"``WriteSize``", "Total kilobytes written to the video memory; measured with all extra fetches and any cache or memory effects taken into account"
"``WriteUnitStalled``", "Percentage of GPU time the write unit is stalled (value range: 0% (optimal) to 100%)"
You can lower ``ALUStalledByLDS`` by reducing LDS bank conflicts or number of LDS accesses.
You can lower ``MemUnitStalled`` by reducing the number or size of fetches and writes.
``MemUnitBusy`` includes the stall time (``MemUnitStalled``).
Hardware counters by and over all texture addressing unit instances
---------------------------------------------------------------------------------------------------------------
The following table shows the hardware counters *by* all texture addressing unit instances.
.. csv-table::
:header: "Hardware counter", "Definition"
"``TA_BUFFER_WAVEFRONTS_sum``", "Total number of buffer wavefronts processed"
"``TA_BUFFER_READ_WAVEFRONTS_sum``", "Total number of buffer read wavefronts processed"
"``TA_BUFFER_WRITE_WAVEFRONTS_sum``", "Total number of buffer write wavefronts processed"
"``TA_BUFFER_ATOMIC_WAVEFRONTS_sum``", "Total number of buffer atomic wavefronts processed"
"``TA_BUFFER_TOTAL_CYCLES_sum``", "Total number of buffer cycles (including read and write) issued to texture cache"
"``TA_BUFFER_COALESCED_READ_CYCLES_sum``", "Total number of coalesced buffer read cycles issued to texture cache"
"``TA_BUFFER_COALESCED_WRITE_CYCLES_sum``", "Total number of coalesced buffer write cycles issued to texture cache"
"``TA_FLAT_READ_WAVEFRONTS_sum``", "Sum of flat opcode reads processed"
"``TA_FLAT_WRITE_WAVEFRONTS_sum``", "Sum of flat opcode writes processed"
"``TA_FLAT_WAVEFRONTS_sum``", "Total number of flat opcode wavefronts processed"
"``TA_FLAT_ATOMIC_WAVEFRONTS_sum``", "Total number of flat opcode atomic wavefronts processed"
"``TA_TOTAL_WAVEFRONTS_sum``", "Total number of wavefronts processed"
The following table shows the hardware counters *over* all texture addressing unit instances.
.. csv-table::
:header: "Hardware counter", "Definition"
"``TA_ADDR_STALLED_BY_TC_CYCLES_sum``", "Total number of cycles texture addressing unit address path is stalled by texture cache"
"``TA_ADDR_STALLED_BY_TD_CYCLES_sum``", "Total number of cycles texture addressing unit address path is stalled by texture data unit"
"``TA_BUSY_avr``", "Average number of busy cycles"
"``TA_BUSY_max``", "Maximum number of texture addressing unit busy cycles"
"``TA_BUSY_min``", "Minimum number of texture addressing unit busy cycles"
"``TA_DATA_STALLED_BY_TC_CYCLES_sum``", "Total number of cycles texture addressing unit data path is stalled by texture cache"
"``TA_TA_BUSY_sum``", "Total number of texture addressing unit busy cycles"
Hardware counters over all texture cache per channel instances
---------------------------------------------------------------------------------------------------------------
.. csv-table::
:header: "Hardware counter", "Definition"
"``TCC_ALL_TC_OP_WB_WRITEBACK_sum``", "Total number of writebacks due to all ``TC_OP`` writeback requests."
"``TCC_ALL_TC_OP_INV_EVICT_sum``", "Total number of evictions due to all ``TC_OP`` invalidate requests."
"``TCC_ATOMIC_sum``", "Total number of L2 cache atomic requests of all types."
"``TCC_BUSY_avr``", "Average number of L2 cache busy cycles."
"``TCC_BUSY_sum``", "Total number of L2 cache busy cycles."
"``TCC_CC_REQ_sum``", "Total number of coherently cached requests."
"``TCC_CYCLE_sum``", "Total number of L2 cache free running clocks."
"``TCC_EA0_WRREQ_sum``", "Total number of 32-byte and 64-byte transactions going over the ``TC_EA0_wrreq`` interface. Atomics may travel over the same interface and are generally classified as write requests. This does not include probe commands."
"``TCC_EA0_WRREQ_64B_sum``", "Total number of 64-byte transactions (write or `CMPSWAP`) going over the ``TC_EA0_wrreq`` interface."
"``TCC_EA0_WR_UNCACHED_32B_sum``", "Total Number of 32-byte write or atomic going over the ``TC_EA0_wrreq`` interface due to uncached traffic. Note that coherently cached mtypes can produce uncached requests, and those are included in this. A 64-byte request is counted as 2."
"``TCC_EA0_WRREQ_STALL_sum``", "Total Number of cycles a write request is stalled, over all instances."
"``TCC_EA0_WRREQ_IO_CREDIT_STALL_sum``", "Total number of cycles an efficiency arbiter write request is stalled due to the interface running out of IO credits, over all instances."
"``TCC_EA0_WRREQ_GMI_CREDIT_STALL_sum``", "Total number of cycles an efficiency arbiter write request is stalled due to the interface running out of GMI credits, over all instances."
"``TCC_EA0_WRREQ_DRAM_CREDIT_STALL_sum``", "Total number of cycles an efficiency arbiter write request is stalled due to the interface running out of DRAM credits, over all instances."
"``TCC_EA0_WRREQ_LEVEL_sum``", "Total number of efficiency arbiter write requests in flight."
"``TCC_EA0_RDREQ_LEVEL_sum``", "Total number of efficiency arbiter read requests in flight."
"``TCC_EA0_ATOMIC_sum``", "Total Number of 32-byte or 64-byte atomic requests going over the ``TC_EA0_wrreq`` interface."
"``TCC_EA0_ATOMIC_LEVEL_sum``", "Total number of efficiency arbiter atomic requests in flight."
"``TCC_EA0_RDREQ_sum``", "Total number of 32-byte or 64-byte read requests to efficiency arbiter."
"``TCC_EA0_RDREQ_32B_sum``", "Total number of 32-byte read requests to efficiency arbiter."
"``TCC_EA0_RD_UNCACHED_32B_sum``", "Total number of 32-byte efficiency arbiter reads due to uncached traffic."
"``TCC_EA0_RDREQ_IO_CREDIT_STALL_sum``", "Total number of cycles there is a stall due to the read request interface running out of IO credits."
"``TCC_EA0_RDREQ_GMI_CREDIT_STALL_sum``", "Total number of cycles there is a stall due to the read request interface running out of GMI credits."
"``TCC_EA0_RDREQ_DRAM_CREDIT_STALL_sum``", "Total number of cycles there is a stall due to the read request interface running out of DRAM credits."
"``TCC_EA0_RDREQ_DRAM_sum``", "Total number of 32-byte or 64-byte efficiency arbiter read requests to HBM."
"``TCC_EA0_WRREQ_DRAM_sum``", "Total number of 32-byte or 64-byte efficiency arbiter write requests to HBM."
"``TCC_HIT_sum``", "Total number of L2 cache hits."
"``TCC_MISS_sum``", "Total number of L2 cache misses."
"``TCC_NC_REQ_sum``", "Total number of non-coherently cached requests."
"``TCC_NORMAL_WRITEBACK_sum``", "Total number of writebacks due to requests that are not writeback requests."
"``TCC_NORMAL_EVICT_sum``", "Total number of evictions due to requests that are not invalidate or probe requests."
"``TCC_PROBE_sum``", "Total number of probe requests."
"``TCC_PROBE_ALL_sum``", "Total number of external probe requests with ``EA0_TCC_preq_all == 1``."
"``TCC_READ_sum``", "Total number of L2 cache read requests (including compressed reads but not metadata reads)."
"``TCC_REQ_sum``", "Total number of all types of L2 cache requests."
"``TCC_RW_REQ_sum``", "Total number of coherently cached with write requests."
"``TCC_STREAMING_REQ_sum``", "Total number of L2 cache streaming requests."
"``TCC_TAG_STALL_sum``", "Total number of cycles the normal request pipeline in the tag is stalled for any reason."
"``TCC_TOO_MANY_EA0_WRREQS_STALL_sum``", "Total number of cycles L2 cache is unable to send an efficiency arbiter write request due to it reaching its maximum capacity of pending efficiency arbiter write requests."
"``TCC_UC_REQ_sum``", "Total number of uncached requests."
"``TCC_WRITE_sum``", "Total number of L2 cache write requests."
"``TCC_WRITEBACK_sum``", "Total number of lines written back to the main memory including writebacks of dirty lines and uncached write or atomic requests."
"``TCC_WRREQ_STALL_max``", "Maximum number of cycles a write request is stalled."
Hardware counters by, for, or over all texture cache per pipe instances
----------------------------------------------------------------------------------------------------------------
The following table shows the hardware counters *by* all texture cache per pipe instances.
.. csv-table::
:header: "Hardware counter", "Definition"
"``TCP_TA_TCP_STATE_READ_sum``", "Total number of state reads by ATCPPI"
"``TCP_TOTAL_CACHE_ACCESSES_sum``", "Total number of vector L1d accesses (including hits and misses)"
"``TCP_UTCL1_PERMISSION_MISS_sum``", "Total number of unified translation cache (L1) permission misses"
"``TCP_UTCL1_REQUEST_sum``", "Total number of address translation requests to unified translation cache (L1)"
"``TCP_UTCL1_TRANSLATION_MISS_sum``", "Total number of unified translation cache (L1) translation misses"
"``TCP_UTCL1_TRANSLATION_HIT_sum``", "Total number of unified translation cache (L1) translation hits"
The following table shows the hardware counters *for* all texture cache per pipe instances.
.. csv-table::
:header: "Hardware counter", "Definition"
"``TCP_TCC_READ_REQ_LATENCY_sum``", "Total vector L1d to L2 request latency over all wavefronts for reads and atomics with return"
"``TCP_TCC_WRITE_REQ_LATENCY_sum``", "Total vector L1d to L2 request latency over all wavefronts for writes and atomics without return"
"``TCP_TCP_LATENCY_sum``", "Total wave access latency to vector L1d over all wavefronts"
The following table shows the hardware counters *over* all texture cache per pipe instances.
.. csv-table::
:header: "Hardware counter", "Definition"
"``TCP_ATOMIC_TAGCONFLICT_STALL_CYCLES_sum``", "Total number of cycles tag RAM conflict stalls on an atomic"
"``TCP_GATE_EN1_sum``", "Total number of cycles vector L1d interface clocks are turned on"
"``TCP_GATE_EN2_sum``", "Total number of cycles vector L1d core clocks are turned on"
"``TCP_PENDING_STALL_CYCLES_sum``", "Total number of cycles vector L1d cache is stalled due to data pending from L2 Cache"
"``TCP_READ_TAGCONFLICT_STALL_CYCLES_sum``", "Total number of cycles tag RAM conflict stalls on a read"
"``TCP_TCC_ATOMIC_WITH_RET_REQ_sum``", "Total number of atomic requests to L2 cache with return"
"``TCP_TCC_ATOMIC_WITHOUT_RET_REQ_sum``", "Total number of atomic requests to L2 cache without return"
"``TCP_TCC_CC_READ_REQ_sum``", "Total number of coherently cached read requests to L2 cache"
"``TCP_TCC_CC_WRITE_REQ_sum``", "Total number of coherently cached write requests to L2 cache"
"``TCP_TCC_CC_ATOMIC_REQ_sum``", "Total number of coherently cached atomic requests to L2 cache"
"``TCP_TCC_NC_READ_REQ_sum``", "Total number of non-coherently cached read requests to L2 cache"
"``TCP_TCC_NC_WRITE_REQ_sum``", "Total number of non-coherently cached write requests to L2 cache"
"``TCP_TCC_NC_ATOMIC_REQ_sum``", "Total number of non-coherently cached atomic requests to L2 cache"
"``TCP_TCC_READ_REQ_sum``", "Total number of read requests to L2 cache"
"``TCP_TCC_RW_READ_REQ_sum``", "Total number of coherently cached with write read requests to L2 cache"
"``TCP_TCC_RW_WRITE_REQ_sum``", "Total number of coherently cached with write write requests to L2 cache"
"``TCP_TCC_RW_ATOMIC_REQ_sum``", "Total number of coherently cached with write atomic requests to L2 cache"
"``TCP_TCC_UC_READ_REQ_sum``", "Total number of uncached read requests to L2 cache"
"``TCP_TCC_UC_WRITE_REQ_sum``", "Total number of uncached write requests to L2 cache"
"``TCP_TCC_UC_ATOMIC_REQ_sum``", "Total number of uncached atomic requests to L2 cache"
"``TCP_TCC_WRITE_REQ_sum``", "Total number of write requests to L2 cache"
"``TCP_TCR_TCP_STALL_CYCLES_sum``", "Total number of cycles texture cache router stalls vector L1d"
"``TCP_TD_TCP_STALL_CYCLES_sum``", "Total number of cycles texture data unit stalls vector L1d"
"``TCP_TOTAL_ACCESSES_sum``", "Total number of vector L1d accesses"
"``TCP_TOTAL_READ_sum``", "Total number of vector L1d read accesses"
"``TCP_TOTAL_WRITE_sum``", "Total number of vector L1d write accesses"
"``TCP_TOTAL_ATOMIC_WITH_RET_sum``", "Total number of vector L1d atomic requests with return"
"``TCP_TOTAL_ATOMIC_WITHOUT_RET_sum``", "Total number of vector L1d atomic requests without return"
"``TCP_TOTAL_WRITEBACK_INVALIDATES_sum``", "Total number of vector L1d writebacks and invalidates"
"``TCP_VOLATILE_sum``", "Total number of L1 volatile pixels or buffers from texture addressing unit"
"``TCP_WRITE_TAGCONFLICT_STALL_CYCLES_sum``", "Total number of cycles tag RAM conflict stalls on a write"
Hardware counter over all texture data unit instances
--------------------------------------------------------
.. csv-table::
:header: "Hardware counter", "Definition"
"``TD_ATOMIC_WAVEFRONT_sum``", "Total number of atomic wavefront instructions"
"``TD_COALESCABLE_WAVEFRONT_sum``", "Total number of coalescable wavefronts according to texture addressing unit"
"``TD_LOAD_WAVEFRONT_sum``", "Total number of wavefront instructions (read, write, atomic)"
"``TD_SPI_STALL_sum``", "Total number of cycles texture data unit is stalled by shader processor input"
"``TD_STORE_WAVEFRONT_sum``", "Total number of write wavefront instructions"
"``TD_TC_STALL_sum``", "Total number of cycles texture data unit is stalled waiting for texture cache data"
"``TD_TD_BUSY_sum``", "Total number of texture data unit busy cycles while it is processing or waiting for data"

View File

@@ -1,129 +0,0 @@
---
myst:
html_meta:
"description lang=en": "Learn about the AMD Instinct MI300 series architecture."
"keywords": "Instinct, MI300X, MI300A, microarchitecture, AMD, ROCm"
---
# AMD Instinct™ MI300 series microarchitecture
The AMD Instinct MI300 series accelerators are based on the AMD CDNA 3
architecture which was designed to deliver leadership performance for HPC, artificial intelligence (AI), and machine
learning (ML) workloads. The AMD Instinct MI300 series accelerators are well-suited for extreme scalability and compute performance, running
on everything from individual servers to the worlds largest exascale supercomputers.
With the MI300 series, AMD is introducing the Accelerator Complex Die (XCD), which contains the
GPU computational elements of the processor along with the lower levels of the cache hierarchy.
The following image depicts the structure of a single XCD in the AMD Instinct MI300 accelerator series.
```{figure} ../../data/shared/xcd-sys-arch.png
---
name: mi300-xcd
align: center
---
XCD-level system architecture showing 40 Compute Units, each with 32 KB L1 cache, a Unified Compute System with 4 ACE Compute Accelerators, shared 4MB of L2 cache and an HWS Hardware Scheduler.
```
On the XCD, four Asynchronous Compute Engines (ACEs) send compute shader workgroups to the
Compute Units (CUs). The XCD has 40 CUs: 38 active CUs at the aggregate level and 2 disabled CUs for
yield management. The CUs all share a 4 MB L2 cache that serves to coalesce all memory traffic for the
die. With less than half of the CUs of the AMD Instinct MI200 Series compute die, the AMD CDNA™ 3
XCD die is a smaller building block. However, it uses more advanced packaging and the processor
can include 6 or 8 XCDs for up to 304 CUs, roughly 40% more than MI250X.
The MI300 Series integrate up to 8 vertically stacked XCDs, 8 stacks of
High-Bandwidth Memory 3 (HBM3) and 4 I/O dies (containing system
infrastructure) using the AMD Infinity Fabric™ technology as interconnect.
The Matrix Cores inside the CDNA 3 CUs have significant improvements, emphasizing AI and machine
learning, enhancing throughput of existing data types while adding support for new data types.
CDNA 2 Matrix Cores support FP16 and BF16, while offering INT8 for inference. Compared to MI250X
accelerators, CDNA 3 Matrix Cores triple the performance for FP16 and BF16, while providing a
performance gain of 6.8 times for INT8. FP8 has a performance gain of 16 times compared to FP32,
while TF32 has a gain of 4 times compared to FP32.
```{list-table} Peak-performance capabilities of the MI300X for different data types.
:header-rows: 1
:name: mi300x-perf-table
*
- Computation and Data Type
- FLOPS/CLOCK/CU
- Peak TFLOPS
*
- Matrix FP64
- 256
- 163.4
*
- Vector FP64
- 128
- 81.7
*
- Matrix FP32
- 256
- 163.4
*
- Vector FP32
- 256
- 163.4
*
- Vector TF32
- 1024
- 653.7
*
- Matrix FP16
- 2048
- 1307.4
*
- Matrix BF16
- 2048
- 1307.4
*
- Matrix FP8
- 4096
- 2614.9
*
- Matrix INT8
- 4096
- 2614.9
```
The above table summarizes the aggregated peak performance of the AMD Instinct MI300X Open
Compute Platform (OCP) Open Accelerator Modules (OAMs) for different data types and command
processors. The middle column lists the peak performance (number of data elements processed in a
single instruction) of a single compute unit if a SIMD (or matrix) instruction is submitted in each clock
cycle. The third column lists the theoretical peak performance of the OAM. The theoretical aggregated
peak memory bandwidth of the GPU is 5.3 TB per second.
The following image shows the block diagram of the APU (left) and the OAM package (right) both
connected via AMD Infinity Fabric™ network on-chip.
```{figure} ../../data/conceptual/gpu-arch/image008.png
---
name: mi300-arch
alt:
align: center
---
MI300 series system architecture showing MI300A (left) with 6 XCDs and 3 CCDs, while the MI300X (right) has 8 XCDs.
```
## Node-level architecture
```{figure} ../../data/shared/mi300-node-level-arch.png
---
name: mi300-node
align: center
---
MI300 series node-level architecture showing 8 fully interconnected MI300X OAM modules connected to (optional) PCIEe switches via retimers and HGX connectors.
```
The image above shows the node-level architecture of a system with AMD EPYC processors in a
dual-socket configuration and eight AMD Instinct MI300X accelerators. The MI300X OAMs attach to the
host system via PCIe Gen 5 x16 links (yellow lines). The GPUs are using seven high-bandwidth,
low-latency AMD Infinity Fabric™ links (red lines) to form a fully connected 8-GPU system.
<!---
We need performance data about the P2P communication here.
-->

View File

@@ -1,116 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="GPU isolation techniques">
<meta name="keywords" content="GPU isolation techniques, UUID, universally unique identifier,
environment variables, virtual machines, AMD, ROCm">
</head>
# GPU isolation techniques
Restricting the access of applications to a subset of GPUs, aka isolating
GPUs allows users to hide GPU resources from programs. The programs by default
will only use the "exposed" GPUs ignoring other (hidden) GPUs in the system.
There are multiple ways to achieve isolation of GPUs in the ROCm software stack,
differing in which applications they apply to and the security they provide.
This page serves as an overview of the techniques.
## Environment variables
The runtimes in the ROCm software stack read these environment variables to
select the exposed or default device to present to applications using them.
Environment variables shouldn't be used for isolating untrusted applications,
as an application can reset them before initializing the runtime.
### `ROCR_VISIBLE_DEVICES`
A list of device indices or {abbr}`UUID (universally unique identifier)`s
that will be exposed to applications.
Runtime
: ROCm Software Runtime. Applies to all applications using the user mode ROCm
software stack.
```{code-block} shell
:caption: Example to expose the 1. device and a device based on UUID.
export ROCR_VISIBLE_DEVICES="0,GPU-DEADBEEFDEADBEEF"
```
### `GPU_DEVICE_ORDINAL`
Devices indices exposed to OpenCL and HIP applications.
Runtime
: ROCm Compute Language Runtime (`ROCclr`). Applies to applications and runtimes
using the `ROCclr` abstraction layer including HIP and OpenCL applications.
```{code-block} shell
:caption: Example to expose the 1. and 3. device in the system.
export GPU_DEVICE_ORDINAL="0,2"
```
(hip_visible_devices)=
### `HIP_VISIBLE_DEVICES`
Device indices exposed to HIP applications.
Runtime: HIP runtime. Applies only to applications using HIP on the AMD platform.
```{code-block} shell
:caption: Example to expose the 1. and 3. devices in the system.
export HIP_VISIBLE_DEVICES="0,2"
```
### `CUDA_VISIBLE_DEVICES`
Provided for CUDA compatibility, has the same effect as `HIP_VISIBLE_DEVICES`
on the AMD platform.
Runtime
: HIP or CUDA Runtime. Applies to HIP applications on the AMD or NVIDIA platform
and CUDA applications.
### `OMP_DEFAULT_DEVICE`
Default device used for OpenMP target offloading.
Runtime
: OpenMP Runtime. Applies only to applications using OpenMP offloading.
```{code-block} shell
:caption: Example on setting the default device to the third device.
export OMP_DEFAULT_DEVICE="2"
```
## Docker
Docker uses Linux kernel namespaces to provide isolated environments for
applications. This isolation applies to most devices by default, including
GPUs. To access them in containers explicit access must be granted, please see
{ref}`docker-access-gpus-in-container` for details.
Specifically refer to {ref}`docker-restrict-gpus` on exposing just a subset
of all GPUs.
Docker isolation is more secure than environment variables, and applies
to all programs that use the `amdgpu` kernel module interfaces.
Even programs that don't use the ROCm runtime, like graphics applications
using OpenGL or Vulkan, can only access the GPUs exposed to the container.
## GPU passthrough to virtual machines
Virtual machines achieve the highest level of isolation, because even the kernel
of the virtual machine is isolated from the host. Devices physically installed
in the host system can be passed to the virtual machine using PCIe passthrough.
This allows for using the GPU with a different operating systems like a Windows
guest from a Linux host.
Setting up PCIe passthrough is specific to the hypervisor used. ROCm officially
supports [VMware ESXi](https://www.vmware.com/products/esxi-and-esx.html)
for select GPUs.
<!--
TODO: This should link to a page about virtualization that explains
pass-through and SR-IOV and how-tos for maybe `libvirt` and `VMWare`
-->

View File

@@ -5,16 +5,9 @@
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import os
import shutil
import sys
from pathlib import Path
shutil.copy2("../RELEASE.md", "./about/release-notes.md")
shutil.copy2("../CHANGELOG.md", "./release/changelog.md")
os.system("mkdir -p ../_readthedocs/html/downloads")
os.system("cp compatibility/compatibility-matrix-historical-6.0.csv ../_readthedocs/html/downloads/compatibility-matrix-historical-6.0.csv")
latex_engine = "xelatex"
latex_elements = {
"fontpkg": r"""
@@ -34,81 +27,40 @@ project = "ROCm Documentation"
project_path = os.path.abspath(".").replace("\\", "/")
author = "Advanced Micro Devices, Inc."
copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
version = "6.4.0"
release = "6.4.0"
version = "7.0 Alpha"
release = "7.0 Alpha"
setting_all_article_info = True
all_article_info_os = ["linux", "windows"]
all_article_info_author = ""
# pages with specific settings
article_pages = [
{"file": "about/release-notes", "os": ["linux"], "date": "2025-04-11"},
{"file": "release/changelog", "os": ["linux"],},
{"file": "compatibility/compatibility-matrix", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/tensorflow-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/jax-compatibility", "os": ["linux"]},
{"file": "how-to/deep-learning-rocm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/install", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/system-health-check", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/train-a-model", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/prerequisite-system-validation", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/benchmark-docker/megatron-lm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/benchmark-docker/pytorch-training", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/benchmark-docker/mpt-llm-foundry", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/training/scale-model-training", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/overview", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/hugging-face-models", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/llm-inference-frameworks", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/vllm-benchmark", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/pytorch-inference-benchmark", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference/deploy-your-model", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/index", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/model-quantization", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/model-acceleration-libraries", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/optimizing-with-composable-kernel", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/optimizing-triton-kernel", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/profiling-and-debugging", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/inference-optimization/workload", "os": ["linux"]},
{"file": "how-to/system-optimization/index", "os": ["linux"]},
{"file": "how-to/system-optimization/mi300x", "os": ["linux"]},
{"file": "how-to/system-optimization/mi200", "os": ["linux"]},
{"file": "how-to/system-optimization/mi100", "os": ["linux"]},
{"file": "how-to/system-optimization/w6000-v620", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/index", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/system", "os": ["linux"]},
{"file": "how-to/tuning-guides/mi300x/workload", "os": ["linux"]},
{"file": "how-to/system-debugging", "os": ["linux"]},
{"file": "how-to/gpu-enabled-mpi", "os": ["linux"]},
{"file": "preview/index", "os": ["linux"],},
{"file": "preview/release", "os": ["linux"],},
{"file": "preview/versions", "os": ["linux"],},
{"file": "preview/install/index", "os": ["linux"],},
{"file": "preview/install/instinct-driver", "os": ["linux"],},
{"file": "preview/install/rocm", "os": ["linux"],},
{"file": "preview/benchmark-docker/index", "os": ["linux"],},
{"file": "preview/benchmark-docker/training", "os": ["linux"],},
{"file": "preview/benchmark-docker/pre-training-megatron-lm-llama-3-8b", "os": ["linux"],},
{"file": "preview/benchmark-docker/pre-training-torchtitan-llama-3-70b", "os": ["linux"],},
{"file": "preview/benchmark-docker/fine-tuning-lora-llama-2-70b", "os": ["linux"],},
{"file": "preview/benchmark-docker/inference", "os": ["linux"],},
{"file": "preview/benchmark-docker/inference-vllm-llama-3.1-405b-fp4", "os": ["linux"],},
{"file": "preview/benchmark-docker/inference-sglang-deepseek-r1-fp4", "os": ["linux"],},
]
external_toc_path = "./sphinx/_toc.yml"
external_projects_remote_repository = "" # don't fetch data to resolve intersphinx xrefs
# Add the _extensions directory to Python's search path
sys.path.append(str(Path(__file__).parent / 'extension'))
extensions = ["rocm_docs", "sphinx_reredirects", "sphinx_sitemap", "sphinxcontrib.datatemplates", "version-ref", "csv-to-list-table"]
compatibility_matrix_file = str(Path(__file__).parent / 'compatibility/compatibility-matrix-historical-6.0.csv')
external_projects_current_project = "rocm"
# Uncomment if facing rate limit exceed issue with local build
# external_projects_remote_repository = ""
html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "https://rocm-stg.amd.com/")
html_context = {}
if os.environ.get("READTHEDOCS", "") == "True":
@@ -117,16 +69,14 @@ if os.environ.get("READTHEDOCS", "") == "True":
html_theme = "rocm_docs_theme"
html_theme_options = {"flavor": "rocm-docs-home"}
html_static_path = ["sphinx/static/css", "extension/how-to/rocm-for-ai/inference"]
html_css_files = ["rocm_custom.css", "rocm_rn.css", "vllm-benchmark.css"]
html_js_files = ["vllm-benchmark.js"]
html_static_path = ["sphinx/static/css", "sphinx/static/js"]
html_css_files = ["rocm_custom.css", "rocm_rn.css"]
html_js_files = ["preview-version-list.js"]
html_title = "ROCm Documentation"
html_title = "ROCm 7.0 Alpha documentation"
html_theme_options = {"link_main_doc": False}
redirects = {"reference/openmp/openmp": "../../about/compatibility/openmp.html"}
numfig = False
html_context = {

View File

@@ -1,150 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="Building ROCm documentation">
<meta name="keywords" content="documentation, Visual Studio Code, GitHub, command line,
AMD, ROCm">
</head>
# Building documentation
## GitHub
If you open a pull request and scroll down to the summary panel,
there is a commit status section. Next to the line
`docs/readthedocs.com:advanced-micro-devices-demo`, there is a `Details` link.
If you click this, it takes you to the Read the Docs build for your pull request.
![GitHub PR commit status](../data/contribute/commit-status.png)
If you don't see this line, click `Show all checks` to get an itemized view.
## Command line
You can build our documentation via the command line using Python.
See the `build.tools.python` setting in the [Read the Docs configuration file](https://github.com/ROCm/ROCm/blob/develop/.readthedocs.yaml) for the Python version used by Read the Docs to build documentation.
See the [Python requirements file](https://github.com/ROCm/ROCm/blob/develop/docs/sphinx/requirements.txt) for Python packages needed to build the documentation.
Use the Python Virtual Environment (`venv`) and run the following commands from the project root:
```sh
python3 -mvenv .venv
.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
```
Navigate to `_build/html/index.html` and open this file in a web browser.
## Visual Studio Code
With the help of a few extensions, you can create a productive environment to author and test
documentation locally using Visual Studio (VS) Code. Follow these steps to configure VS Code:
1. Install the required extensions:
* Python: `(ms-python.python)`
* Live Server: `(ritwickdey.LiveServer)`
2. Add the following entries to `.vscode/settings.json`.
```json
{
"liveServer.settings.root": "/.vscode/build/html",
"liveServer.settings.wait": 1000,
"python.terminal.activateEnvInCurrentTerminal": true
}
```
* `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 the live server to wait with the update in order to give Sphinx time to
regenerate the site contents and not refresh before the build is complete.
* `python.terminal.activateEnvInCurrentTerminal`: Activates the automatic virtual environment, so you
can build the site from the integrated terminal.
3. Add the following tasks to `.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 the Python virtual environment (`venv`).
From the Command Palette, run `Python: Create Environment`. Select `venv` environment and
`docs/sphinx/requirements.txt`.
5. Build the docs.
Launch the default build task using one of the following options:
* A hotkey (the default is `Ctrl+Shift+B`)
* Issuing the `Tasks: Run Build Task` from the Command Palette
6. Open the live preview.
Navigate to the site output 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.

View File

@@ -1,77 +0,0 @@
<head>
<meta charset="UTF-8">
<meta name="description" content="Contributing to ROCm">
<meta name="keywords" content="ROCm, contributing, contribute, maintainer, contributor">
</head>
# Contributing to the ROCm documentation
The ROCm documentation, like all of ROCm, is open source and available on GitHub. You can contribute to the ROCm documentation by forking the appropriate repository, making your changes, and opening a pull request.
To provide feedback on the ROCm documentation, including submitting an issue or suggesting a feature, see [Providing feedback about the ROCm documentation](./feedback.md).
## The ROCm repositories
The repositories for ROCm and all ROCm components are available on GitHub.
| Module | Documentation location |
| --- | --- |
| ROCm framework | [https://github.com/ROCm/ROCm/tree/develop/docs](https://github.com/ROCm/ROCm/tree/develop/docs) |
| ROCm installation for Linux | [https://github.com/ROCm/rocm-install-on-linux/tree/develop/docs](https://github.com/ROCm/rocm-install-on-linux/tree/develop/docs) |
| ROCm HIP SDK installation for Windows | [https://github.com/ROCm/rocm-install-on-windows/tree/develop/docs](https://github.com/ROCm/rocm-install-on-windows/tree/develop/docs) |
Individual components have their own repositories with their own documentation in their own `docs` folders.
The sub-folders within the `docs` folders across ROCm are typically structured as follows:
| Sub-folder name | Documentation type |
|-------|----------|
| `install` | Installation instructions, build instructions, and prerequisites |
| `conceptual` | Important concepts |
| `how-to` | How to implement specific use cases |
| `tutorials` | Tutorials |
| `reference` | API references and other reference resources |
## Editing and adding to the documentation
ROCm documentation follows the [Google developer documentation style guide](https://developers.google.com/style/highlights).
Most topics in the ROCm documentation are written in [reStructuredText (rst)](https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html), with some topics written in Markdown. Only use reStructuredText when adding new topics. Only use Markdown if the topic you are editing is already in Markdown.
To edit or add to the documentation:
1. Fork the repository you want to add to or edit.
2. Clone your fork locally.
3. Create a new local branch cut from the `develop` branch of the repository.
4. Make your changes to the documentation.
5. Optionally, build the documentation locally before creating a pull request by running the following commands from within the `docs` folder:
```bash
pip3 install -r sphinx/requirements.txt # You only need to run this command once
python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
```
The output files will be located in the `docs/_build` folder. Open `docs/_build/html/index.html` to view the documentation.
For more information on ROCm build tools, see [Documentation toolchain](toolchain.md).
6. Push your changes. A GitHub link will be returned in the output of the `git push` command. Open this link in a browser to create the pull request.
The documentation is built as part of the checks on pull request, along with spell checking and linting. Scroll to the bottom of your pull request to view all the checks.
Verify that the linting and spell checking have passed, and that the documentation was built successfully. New words or acronyms can be added to the [wordlist file](https://github.com/ROCm/rocm-docs-core/blob/develop/.wordlist.txt). The wordlist is subject to approval by the ROCm documentation team.
The Read The Docs build of your pull request can be accessed by clicking on the Details link next to the Read The Docs build check. Verify that your changes are in the build and look as expected.
![The GitHub checks are collapsed by default and can be accessed by clicking on "Show All Checks".](../data/contribute/GitHubCheck-Highlight.png)
![The Read The Docs Build is accessed from the Details link in the Read The Docs check.](../data/contribute/GitHub-ReadThe-Docs-Highlight.png)
Your pull request will be reviewed by a member of the ROCm documentation team.
See the [GitHub documentation](https://docs.github.com/en) for information on how to fork and clone a repository, and how to create and push a local branch.
```{important}
By creating a pull request (PR), you agree to allow your contribution to be licensed under the terms of the
LICENSE.txt file in the corresponding repository. Different repositories can use different licenses.
```

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<head>
<meta charset="UTF-8">
<meta name="description" content="Providing feedback for ROCm documentation">
<meta name="keywords" content="documentation, pull request, GitHub, AMD, ROCm">
</head>
# Providing feedback about the ROCm documentation
Feedback about the ROCm documentation is welcome. You can provide feedback about the ROCm documentation either through GitHub Discussions or GitHub Issues.
## Participating in discussions through GitHub Discussions
You can ask questions, view announcements, suggest new features, and communicate with other members of the community through [GitHub Discussions](https://github.com/ROCm/ROCm/discussions).
## Submitting issues through GitHub Issues
You can submit issues through [GitHub Issues](https://github.com/ROCm/ROCm/issues).
When creating a new issue, follow the following guidelines:
1. Always do a search to see if the same issue already exists. If the issue already exists, upvote it, and comment or post to provide any additional details you might have.
2. If you find an issue that is similar to your issue, log your issue, then add a comment that includes a link to the similar issue, as well as its issue number.
3. Always provide as much information as possible. This helps reduce the time required to reproduce the issue.
After creating your issue, make sure to check it regularly for any requests for additional information.
For information about contributing content to the ROCm documentation, see [Contributing to the ROCm documentation](./contributing.md).

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<head>
<meta charset="UTF-8">
<meta name="description" content="ROCm documentation toolchain">
<meta name="keywords" content="documentation, toolchain, Sphinx, Doxygen, MyST, AMD, ROCm">
</head>
# ROCm documentation toolchain
The ROCm documentation relies on several open source toolchains and sites.
## rocm-docs-core
[rocm-docs-core](https://github.com/ROCm/rocm-docs-core) is an AMD-maintained
project that applies customizations for the ROCm documentation. This project is the tool most ROCm repositories use as part of their documentation build pipeline. It is 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.
### Sphinx External ToC
[Sphinx External 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 (`_toc.yml.in`) that contains the table of contents.
### 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.
## Doxygen
[Doxygen](https://www.doxygen.nl/) is a documentation generator that extracts information from in-code comments. It is used for API documentation.
## Breathe
[Breathe](https://www.breathe-doc.org/) is a Sphinx plugin for integrating Doxygen content.
## Read the Docs
[Read the Docs](https://docs.readthedocs.io/en/stable/) is the service that builds and hosts the HTML version of the ROCm documentation.

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