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36 Commits

Author SHA1 Message Date
Pratik Basyal
9ecb53b951 Taichi removed (#5802) 2025-12-19 15:44:03 -05:00
Alex Xu
ac0e6d3bc8 bump rocm-docs-core to 1.26.0 2025-10-14 11:36:26 -04:00
Peter Park
1838f82aeb Fix documented VRAM for Radeon AI Pro R9700 (#5203) (#5205)
(cherry picked from commit c154b7e0a3)
2025-08-18 10:20:12 -04:00
anisha-amd
59524e75eb [Docs] 6.4.2: compatibility matrix frameworks support update (#5187) 2025-08-12 14:25:54 -04:00
Alex Xu
b9cd22b770 add pdf format to docs/6.4.2 2025-08-01 15:21:17 -04:00
anisha-amd
596cf19217 Updates to the compatibility matrix with DGL fix (#5143) (#5145) 2025-08-01 11:39:14 -04:00
anisha-amd
1b8c7f25a1 Cherry pick into 6.4.2 - Docs: Adding frameworks compatibility for Megablocks and Taichi (#5137) 2025-07-31 14:01:49 -04:00
Peter Park
869882f496 Update PyT and TF Docker images in compatibility pages for 6.4.2 (#5129)
(cherry picked from commit b61d6a021e)
2025-07-31 10:04:26 -04:00
Pratik Basyal
b3f2646d8d ROCm Software Stack image for 6.4.0 updated (#5112) (#5116) 2025-07-29 09:44:49 -04:00
Peter Park
2ac14a845a Add SGLang inference benchmark doc w/ initial support for DeepSeek-R1-Distill-Qwen-32B (#4870) (#5103)
(cherry picked from commit cc5bc5a882)

Co-authored-by: yugang-amd <yugang.wang@amd.com>
2025-07-25 12:52:47 -04:00
Peter Park
1eaca180d3 Use madengine instead of tools/run_models.py in docs (#5095)
(cherry picked from commit 14249f24d8)
2025-07-24 15:52:16 -04:00
Peter Park
9bf497e4b4 Add DeepSeek Janus Pro 7B to PyTorch inference benchmark doc (#5071)
---------

Co-authored-by: yugang-amd <yugang.wang@amd.com>
(cherry picked from commit 984a91f008)
2025-07-22 16:33:30 -04:00
Peter Park
417b22b81b Merge pull request #5084 from peterjunpark/docs/6.4.2
[docs/6.4.2] Remove broken link to deprecated AMDGPU installer documentation and fix branches for install docs in TOC
2025-07-22 11:16:38 -04:00
Peter Park
93acf292c7 Fix branches for install docs in _toc.yml.in (#5083)
(cherry picked from commit 15ee605d18)
2025-07-22 11:04:40 -04:00
Peter Park
a7388285c7 Remove broken link to deprecated AMDGPU installer documentation (#5078)
* remove link to deprecated AMDGPU installation method

* add deep learning frameworks

(cherry picked from commit 2269e9d25d)
2025-07-22 11:04:40 -04:00
Pratik Basyal
f0ac0a1bef Sphinx warning for ROCm fixed (#5077)
* Sphinx warning for DGL fixed

* Update dgl-compatibility.rst

removed benchmark line and updated link

---------

Co-authored-by: anisha-amd <anisha.sankar@amd.com>
2025-07-22 10:09:54 -04:00
alexxu-amd
f4697b5a47 Sync develop into docs/6.4.2 2025-07-21 17:04:14 -04:00
Alex Xu
fcf614f195 Merge branch 'roc-6.4.x' into docs/6.4.2 2025-07-21 15:52:59 -04:00
Alex Xu
87c6e320b4 Merge branch 'develop' into roc-6.4.x 2025-07-21 15:52:30 -04:00
Alex Xu
1d0900b42e Merge branch 'develop' into docs/6.4.2 2025-07-21 13:04:21 -04:00
spolifroni-amd
6c35f210e3 minor link and comp matrix fixes (#5056) (#5059)
(cherry picked from commit 703e253db5)
2025-07-16 15:37:24 -04:00
anisha-amd
a5c7baf1a0 cherry pick frameworks compatibility into 6.4.2
* Merge Verl, DGL, Megatron changes. (#5047)

* Verl compatibility

* verl compatibility

* add Supported features

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* updated and edited verl compat doc

* added links to verl

* add future release for sglang and megatron inference eng.

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fix lint

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fixed a typo and a table

* Spolifroni amd/add to compat matrix (#430)

* added verl to compatibility matrix

* small change

* fixed an error in csv

* edited the verl compat based on leo's recommendations

* updated compat matrix (#435)

* Added a hardcoded link to the verl install

This is a link to an RTD build and MUST be removed before publishing.

* Update verl-compatibility.rst

* Added a hardcoded link to the verl install

This link is to an RTD build and it WILL break at publishing. It MUST be changed before publishing.

* Added version support note (#448)

* small fixes

* Update verl-compatibility.rst

* Update verl-compatibility.rst

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
(cherry picked from commit f9bd22626b)

* Stanford Megatron-LM Compatibility

* Create stanford-megatron-lm-compatibility.rst

* toc and wordlist

* Update deep-learning-rocm.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* fixes and adding to main compat matrix

* formatting fix

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

---------

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit f4f096b44e)

* Framework: DGL Compatability

* Introducing new file for DGL Compatability

* Update dgl-compatibility.rst

* Update .wordlist.txt

* Update .wordlist.txt

* Update deep-learning-rocm.rst

* compatibility fixes

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* additions to use-cases and system support

* wording and fixes

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* remove table heading

* Update compatibility-matrix-historical-6.0.csv

---------

Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit 2a7554c0b9)

* Manually resolve merge conflict

* Further merge conflict adjustments

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: vickytsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
Co-authored-by: Mukhil M S <167260682+mukh1l@users.noreply.github.com>

* Merge Verl, DGL, Megatron changes. (#5047)

* Verl compatibility

* verl compatibility

* add Supported features

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* updated and edited verl compat doc

* added links to verl

* add future release for sglang and megatron inference eng.

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fix lint

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fixed a typo and a table

* Spolifroni amd/add to compat matrix (#430)

* added verl to compatibility matrix

* small change

* fixed an error in csv

* edited the verl compat based on leo's recommendations

* updated compat matrix (#435)

* Added a hardcoded link to the verl install

This is a link to an RTD build and MUST be removed before publishing.

* Update verl-compatibility.rst

* Added a hardcoded link to the verl install

This link is to an RTD build and it WILL break at publishing. It MUST be changed before publishing.

* Added version support note (#448)

* small fixes

* Update verl-compatibility.rst

* Update verl-compatibility.rst

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
(cherry picked from commit f9bd22626b)

* Stanford Megatron-LM Compatibility

* Create stanford-megatron-lm-compatibility.rst

* toc and wordlist

* Update deep-learning-rocm.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* fixes and adding to main compat matrix

* formatting fix

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

---------

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit f4f096b44e)

* Framework: DGL Compatability

* Introducing new file for DGL Compatability

* Update dgl-compatibility.rst

* Update .wordlist.txt

* Update .wordlist.txt

* Update deep-learning-rocm.rst

* compatibility fixes

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* additions to use-cases and system support

* wording and fixes

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* remove table heading

* Update compatibility-matrix-historical-6.0.csv

---------

Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit 2a7554c0b9)

* Manually resolve merge conflict

* Further merge conflict adjustments

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: vickytsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
Co-authored-by: Mukhil M S <167260682+mukh1l@users.noreply.github.com>

* Merge Verl, DGL, Megatron changes. (#5047)

* Verl compatibility

* verl compatibility

* add Supported features

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* updated and edited verl compat doc

* added links to verl

* add future release for sglang and megatron inference eng.

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fix lint

Signed-off-by: Vicky Tsang <vtsang@amd.com>

* fixed a typo and a table

* Spolifroni amd/add to compat matrix (#430)

* added verl to compatibility matrix

* small change

* fixed an error in csv

* edited the verl compat based on leo's recommendations

* updated compat matrix (#435)

* Added a hardcoded link to the verl install

This is a link to an RTD build and MUST be removed before publishing.

* Update verl-compatibility.rst

* Added a hardcoded link to the verl install

This link is to an RTD build and it WILL break at publishing. It MUST be changed before publishing.

* Added version support note (#448)

* small fixes

* Update verl-compatibility.rst

* Update verl-compatibility.rst

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
(cherry picked from commit f9bd22626b)

* Stanford Megatron-LM Compatibility

* Create stanford-megatron-lm-compatibility.rst

* toc and wordlist

* Update deep-learning-rocm.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* fixes and adding to main compat matrix

* formatting fix

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/stanford-megatron-lm-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

* Update stanford-megatron-lm-compatibility.rst

---------

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit f4f096b44e)

* Framework: DGL Compatability

* Introducing new file for DGL Compatability

* Update dgl-compatibility.rst

* Update .wordlist.txt

* Update .wordlist.txt

* Update deep-learning-rocm.rst

* compatibility fixes

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update docs/compatibility/ml-compatibility/dgl-compatibility.rst

Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* additions to use-cases and system support

* wording and fixes

* Update dgl-compatibility.rst

* Update dgl-compatibility.rst

* remove table heading

* Update compatibility-matrix-historical-6.0.csv

---------

Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
(cherry picked from commit 2a7554c0b9)

* Manually resolve merge conflict

* Further merge conflict adjustments

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: vickytsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: anisha-amd <anisha.sankar@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
Co-authored-by: Mukhil M S <167260682+mukh1l@users.noreply.github.com>

---------

Signed-off-by: Vicky Tsang <vtsang@amd.com>
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
Co-authored-by: vickytsang <vtsang@amd.com>
Co-authored-by: spolifroni-amd <sandra.polifroni@amd.com>
Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>
Co-authored-by: Mukhil M S <167260682+mukh1l@users.noreply.github.com>
2025-07-15 19:14:26 -04:00
alexxu-amd
702262b801 Sync develop into docs/6.4.2 2025-07-11 16:21:31 -04:00
Alex Xu
cfb740b915 upgrade rocm-docs-core to 1.21.1 2025-07-11 15:56:51 -04:00
ammallya
b50948fe6b Fix for rocrsamples and rocr_debug_agent (#4863)
* Fix for rocrsamples

* Fix for rocr_debug_agent
2025-05-30 16:27:29 -07:00
ammallya
91407405a9 Changed naming convention for hip (#4837)
* Changed naming convention for hip

* Changed naming convention for hip
2025-05-29 10:19:28 -07:00
ammallya
8f23f63a6b Fix for tests (#4818)
* Fix for RBT

* Fix for roctst and kfd test
2025-05-27 17:38:48 -07:00
Alex Xu
11747aaadc Merge branch 'develop' into roc-6.4.x 2025-05-21 15:04:02 -04:00
Alex Xu
1088beefe5 Merge branch 'develop' into roc-6.4.x 2025-05-21 12:27:13 -04:00
Alex Xu
b7988925a5 Merge branch 'develop' into roc-6.4.x 2025-05-21 12:25:30 -04:00
chiranjeevipattigidi
89dafa6232 Update packages - remove broken packages (#4758)
* Update envsetup.sh HIP_ON_ROCclr_ROOT path to hip and remove

aqlprofiletest

* Update packages - remove broken packages
2025-05-21 09:06:39 -07:00
chiranjeevipattigidi
8054852dad Update envsetup.sh HIP_ON_ROCclr_ROOT path to hip and remove (#4755)
aqlprofiletest
2025-05-20 07:59:07 -07:00
ammallya
542d7813ce Removing aqlprofiletest 2025-04-14 15:26:24 -07:00
ammallya
bc1ffe4fcb bypass tests 2025-04-14 13:41:34 -07:00
ammallya
09997c68bb Removing kfd test 2025-04-14 12:55:13 -07:00
ammallya
42bc3501ac Merge pull request #4623 from ammallya/roc-6.4.x
Rebasing branch 6.4.x
2025-04-14 11:42:06 -07:00
34 changed files with 495 additions and 1468 deletions

View File

@@ -1,29 +1,10 @@
parameters:
- name: componentName
type: string
default: AMDMIGraphX
- 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
@@ -112,11 +93,7 @@ parameters:
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }}
- job: AMDMIGraphX_build_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -144,8 +121,6 @@ jobs:
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: >-
@@ -171,12 +146,12 @@ jobs:
gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_ubuntu2204_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
- job: AMDMIGraphX_test_${{ job.target }}
dependsOn: AMDMIGraphX_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
@@ -208,8 +183,6 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- task: CMake@1
displayName: MIGraphXTest CMake Flags
inputs:
@@ -226,7 +199,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
componentName: AMDMIGraphX
testExecutable: make
testParameters: -j$(nproc) check
testPublishResults: false

View File

@@ -1,29 +1,10 @@
parameters:
- name: componentName
type: string
default: MIOpen
- 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
@@ -93,31 +74,10 @@ parameters:
target: gfx942
- gfx90a:
target: gfx90a
- name: downstreamComponentMatrix
type: object
default:
- MIVisionX:
name: MIVisionX
checkoutRepo: mivisionx_repo
sparseCheckoutDir: ''
skipUnifiedBuild: 'false'
buildDependsOn:
- MIOpen_build
- AMDMIGraphX:
name: AMDMIGraphX
checkoutRepo: amdmigraphx_repo
sparseCheckoutDir: ''
skipUnifiedBuild: 'false'
buildDependsOn:
- MIOpen_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }}
- job: MIOpen_build_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -135,7 +95,6 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
parameters:
checkoutRepo: ${{ parameters.checkoutRepo }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/miopen-get-ck-build.yml
parameters:
gpuTarget: ${{ job.target }}
@@ -145,13 +104,11 @@ jobs:
dependencyList: ${{ parameters.rocmDependencies }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- task: Bash@3
displayName: Build and install other dependencies
inputs:
targetType: inline
workingDirectory: $(Agent.BuildDirectory)/s
workingDirectory: $(Build.SourcesDirectory)
script: |
sed -i '/composable_kernel/d' requirements.txt
mkdir -p $(Agent.BuildDirectory)/miopen-deps
@@ -173,10 +130,8 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
gpuTarget: ${{ job.target }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
- 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
@@ -188,9 +143,9 @@ jobs:
- miopen-deps
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_ubuntu2204_${{ job.target }}
- job: MIOpen_test_${{ job.target }}
timeoutInMinutes: 180
dependsOn: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
dependsOn: MIOpen_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
@@ -214,7 +169,6 @@ jobs:
- 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/miopen-get-ck-build.yml
parameters:
@@ -224,13 +178,11 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- task: Bash@3
displayName: Build and install other dependencies
inputs:
targetType: inline
workingDirectory: $(Agent.BuildDirectory)/s
workingDirectory: $(Build.SourcesDirectory)
script: |
sed -i '/composable_kernel/d' requirements.txt
mkdir -p $(Agent.BuildDirectory)/miopen-deps
@@ -241,7 +193,7 @@ jobs:
displayName: 'MIOpen Test CMake Flags'
inputs:
cmakeArgs: >-
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/s/bin;$(Agent.BuildDirectory)/miopen-deps
-DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Build.SourcesDirectory)/bin;$(Agent.BuildDirectory)/miopen-deps
-DCMAKE_INSTALL_PREFIX=$(Agent.BuildDirectory)/rocm
-DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
@@ -251,19 +203,19 @@ jobs:
-DBUILD_DEV=OFF
-DMIOPEN_USE_MLIR=ON
-DMIOPEN_GPU_SYNC=OFF
$(Agent.BuildDirectory)/s
..
- task: Bash@3
displayName: 'MIOpen Test Build'
inputs:
targetType: inline
workingDirectory: build
script: |
cmake --build . --target tests -- -j$(nproc)
workingDirectory: $(Build.SourcesDirectory)/build
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
testParameters: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex "test_rnn_seq_api|GPU_Conv2dTuningAsm_FP32|GPU_Conv2dTuningAsmBwdWrw_FP32"'
componentName: MIOpen
testParameters: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex "test_rnn_seq_api|GPU_Conv2dTuningAsm_FP32"'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
@@ -272,15 +224,3 @@ jobs:
gpuTarget: ${{ job.target }}
extraCopyDirectories:
- miopen-deps
# - ${{ 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: ${{ component.checkoutRepo }}
# # sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
# buildDependsOn: ${{ component.buildDependsOn }}
# downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
# triggerDownstreamJobs: true
# unifiedBuild: ${{ parameters.unifiedBuild }}

View File

@@ -1,29 +1,10 @@
parameters:
- name: componentName
type: string
default: MIVisionX
- 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
@@ -79,7 +60,6 @@ parameters:
- name: rocmTestDependencies
type: object
default:
- aomp
- clr
- half
- hipBLAS-common
@@ -108,11 +88,7 @@ parameters:
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }}
- job: MIVisionX_build_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -134,8 +110,6 @@ jobs:
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: >-
@@ -157,12 +131,12 @@ jobs:
# gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_ubuntu2204_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
- job: MIVisionX_test_${{ job.target }}
dependsOn: MIVisionX_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
eq(${{ parameters.aggregatePipeline }}, False)
)
variables:
@@ -187,8 +161,6 @@ jobs:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmTestDependencies }}
gpuTarget: ${{ job.target }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- task: Bash@3
displayName: Build MIVisionX tests
inputs:
@@ -202,7 +174,7 @@ jobs:
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
parameters:
componentName: ${{ parameters.componentName }}
componentName: MIVisionX
testDir: 'mivisionx-tests'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:

View File

@@ -28,8 +28,8 @@ parameters:
- name: rocmTestDependencies
type: object
default:
- amdsmi
- llvm-project
- rocm_smi_lib
- rocprofiler-register
- name: jobMatrix
@@ -111,6 +111,14 @@ jobs:
parameters:
aptPackages: ${{ parameters.aptPackages }}
packageManager: ${{ job.packageManager }}
- task: Bash@3
displayName: Install libhwloc5
inputs:
targetType: 'inline'
script: |
wget http://ftp.us.debian.org/debian/pool/main/h/hwloc/libhwloc5_1.11.12-3_amd64.deb
wget http://ftp.us.debian.org/debian/pool/main/h/hwloc/libhwloc-dev_1.11.12-3_amd64.deb
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:
@@ -153,10 +161,6 @@ jobs:
targetType: 'inline'
workingDirectory: $(Build.SourcesDirectory)/rocrtst/suites/test_common
script: |
echo $(Build.SourcesDirectory)/rocrtst/thirdparty/lib | 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
if [ -e /opt/rh/gcc-toolset-14/enable ]; then
source /opt/rh/gcc-toolset-14/enable
fi

View File

@@ -1,29 +1,10 @@
parameters:
- name: componentName
type: string
default: hipBLAS
- 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
@@ -88,30 +69,10 @@ parameters:
target: gfx942
- gfx90a:
target: gfx90a
# MIOpen depends on both rocRAND and hipBLAS
# for a unified build, hipBLAS will be the one to call MIOpen
- name: downstreamComponentMatrix
type: object
default:
- MIOpen:
name: MIOpen
sparseCheckoutDir: projects/miopen
skipUnifiedBuild: 'false'
buildDependsOn:
- hipBLAS_build
unifiedBuild:
downstreamAggregateNames: hipBLAS+rocRAND
buildDependsOn:
- hipBLAS_build
- rocRAND_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: ${{ parameters.componentName }}_build_ubuntu2204_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }}
- job: hipBLAS_build_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -127,7 +88,6 @@ jobs:
- 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:
@@ -135,8 +95,6 @@ jobs:
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: >-
@@ -151,12 +109,9 @@ jobs:
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
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
@@ -166,67 +121,46 @@ jobs:
installAOCL: true
gpuTarget: ${{ job.target }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_ubuntu2204_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_ubuntu2204_${{ 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 }}
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 }}
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 }}
${{ 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 }}
testExecutable: $(Agent.BuildDirectory)/rocm/bin/hipblas-test
testParameters: '--yaml hipblas_smoke.yaml --gtest_output=xml:./test_output.xml --gtest_color=yes'
testDir: '$(Agent.BuildDirectory)/rocm/bin'
- 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 }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipBLAS_test_${{ job.target }}
dependsOn: hipBLAS_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: hipBLAS
testExecutable: $(Agent.BuildDirectory)/rocm/bin/hipblas-test
testParameters: '--yaml hipblas_smoke.yaml --gtest_output=xml:./test_output.xml --gtest_color=yes'
testDir: '$(Agent.BuildDirectory)/rocm/bin'
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
parameters:
aptPackages: ${{ parameters.aptPackages }}
pipModules: ${{ parameters.pipModules }}
environment: test
gpuTarget: ${{ job.target }}

View File

@@ -104,17 +104,17 @@ parameters:
- rocBLAS_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: 'false'
buildDependsOn:
- rocBLAS_build
unifiedBuild:
downstreamAggregateNames: rocBLAS+rocPRIM
buildDependsOn:
- rocBLAS_build
- rocPRIM_build
# - 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 }}:

View File

@@ -91,12 +91,12 @@ parameters:
- 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
# - rocSOLVER:
# name: rocSOLVER
# sparseCheckoutDir: projects/rocsolver
# skipUnifiedBuild: 'true'
# buildDependsOn:
# - rocPRIM_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:

View File

@@ -79,12 +79,6 @@ parameters:
skipUnifiedBuild: 'false'
buildDependsOn:
- rocRAND_build
- MIOpen:
name: MIOpen
sparseCheckoutDir: projects/miopen
skipUnifiedBuild: 'true'
buildDependsOn:
- rocRAND_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:

View File

@@ -83,28 +83,6 @@ parameters:
testJobs:
- { os: ubuntu2204, packageManager: apt, target: gfx942 }
- { os: ubuntu2204, packageManager: apt, target: gfx90a }
- name: downstreamComponentMatrix
type: object
default:
- hipBLAS:
name: hipBLAS
sparseCheckoutDir: projects/hipblas
skipUnifiedBuild: 'false'
buildDependsOn:
- rocSOLVER_build
# hipSOLVER depends on both rocSOLVER and rocSPARSE
# for a unified build, rocSOLVER will be the one to call hipSOLVER
# - hipSOLVER:
# name: hipSOLVER
# sparseCheckoutDir: projects/hipsolver
# skipUnifiedBuild: 'false'
# buildDependsOn:
# - rocSOLVER_build
# unifiedBuild:
# downstreamAggregateNames: rocSOLVER+rocSPARSE
# buildDependsOn:
# - rocSOLVER_build
# - rocSPARSE_build
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
@@ -250,19 +228,3 @@ 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 }}
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

@@ -1,163 +0,0 @@
parameters:
- name: componentName
type: string
default: rocm_libraries
- 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
type: boolean
default: false
- name: aptPackages
type: object
default:
- ccache
- gfortran
- git
- libdrm-dev
- libmsgpack-dev
- libnuma-dev
- ninja-build
- python3-pip
- python3-venv
- name: pipModules
type: object
default:
- joblib
- "packaging>=22.0"
- --upgrade
- name: rocmDependencies
type: object
default:
- aomp
- clr
- llvm-project
- rocminfo
- rocm-cmake
- rocm_smi_lib
- rocprofiler-register
- ROCR-Runtime
- roctracer
- name: rocmTestDependencies
type: object
default:
- aomp
- clr
- llvm-project
- rocminfo
- rocm_smi_lib
- rocprofiler-register
- ROCR-Runtime
- roctracer
- name: jobMatrix
type: object
default:
buildJobs:
- { pool: rocm-ci_ultra_build_pool, os: ubuntu2204, packageManager: apt, target: gfx942 }
jobs:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- 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
- name: DAY_STRING
value: $[format('{0:ddMMyyyy}', pipeline.startTime)]
pool: ${{ job.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/dependencies-cmake-latest.yml
- 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-rocm.yml
parameters:
checkoutRef: ${{ parameters.checkoutRef }}
dependencyList: ${{ parameters.rocmDependencies }}
os: ${{ job.os }}
gpuTarget: ${{ job.target }}
aggregatePipeline: ${{ parameters.aggregatePipeline }}
${{ if parameters.triggerDownstreamJobs }}:
downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
- script: |
mkdir -p $(CCACHE_DIR)
echo "##vso[task.prependpath]/usr/lib/ccache"
displayName: Update path for ccache
- task: Cache@2
displayName: Ccache caching
inputs:
key: rocm-libraries | ${{ job.os }} | ${{ job.target }} | $(DAY_STRING) | $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
path: $(CCACHE_DIR)
restoreKeys: |
rocm-libraries | ${{ job.os }} | ${{ job.target }} | $(DAY_STRING)
rocm-libraries | ${{ job.os }} | ${{ job.target }}
rocm-libraries | ${{ job.os }}
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
parameters:
os: ${{ job.os }}
extraBuildFlags: >-
-DROCM_LIBRARIES_SUPERBUILD=ON
-GNinja
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
parameters:
componentName: ${{ parameters.componentName }}
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
- ${{ 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
extraCopyDirectories:
- deps

View File

@@ -37,7 +37,6 @@ parameters:
- libpfm4-dev
- libtool
- libopenmpi-dev
- libsqlite3-dev
- m4
- ninja-build
- openmpi-bin

View File

@@ -3,21 +3,21 @@ parameters:
- name: jobList
type: object
default:
- { os: ubuntu2204, packageManager: apt, target: gfx942, source: staging }
- { os: ubuntu2204, packageManager: apt, target: gfx90a, source: staging }
- { os: ubuntu2204, packageManager: apt, target: gfx1201, source: staging }
- { os: ubuntu2204, packageManager: apt, target: gfx1100, source: staging }
- { os: ubuntu2204, packageManager: apt, target: gfx1030, source: staging }
- { os: ubuntu2404, packageManager: apt, target: gfx942, source: staging }
- { os: ubuntu2404, packageManager: apt, target: gfx90a, source: staging }
- { os: ubuntu2404, packageManager: apt, target: gfx1201, source: staging }
- { os: ubuntu2404, packageManager: apt, target: gfx1100, source: staging }
- { os: ubuntu2404, packageManager: apt, target: gfx1030, source: staging }
- { os: almalinux8, packageManager: dnf, target: gfx942, source: staging }
- { os: almalinux8, packageManager: dnf, target: gfx90a, source: staging }
- { os: almalinux8, packageManager: dnf, target: gfx1201, source: staging }
- { os: almalinux8, packageManager: dnf, target: gfx1100, source: staging }
- { os: almalinux8, packageManager: dnf, target: gfx1030, 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:
@@ -92,8 +92,7 @@ schedules:
jobs:
- ${{ each job in parameters.jobList }}:
- job: nightly_${{ job.os }}_${{ job.target }}_${{ job.source }}
timeoutInMinutes: 90
- job: rocm_nightly_${{ job.os }}_${{ job.target }}_${{ job.source }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -132,7 +131,7 @@ jobs:
includeRootFolder: false
archiveType: tar
tarCompression: gz
archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.DefinitionName)_$(Build.BuildNumber)_${{ job.os }}_${{ job.target }}.tar.gz
archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.DefinitionName)_$(Build.BuildNumber)_ubuntu2204_${{ job.target }}.tar.gz
- script: du -sh $(Build.ArtifactStagingDirectory)
displayName: Compressed ROCm size
- task: PublishPipelineArtifact@1
@@ -145,95 +144,5 @@ jobs:
inputs:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: echo "$(Build.DefinitionName)_$(Build.BuildNumber)_${{ job.os }}_${{ job.target }}.tar.gz" >> pipelineArtifacts.txt
script: echo "$(Build.DefinitionName)_$(Build.BuildNumber)_ubuntu2204_${{ job.target }}.tar.gz" >> pipelineArtifacts.txt
- template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
- ${{ if eq(job.packageManager, 'apt') }}:
- task: Bash@3
displayName: Create Dockerfile
inputs:
workingDirectory: $(Agent.BuildDirectory)
targetType: inline
script: |
cat <<'EOF' > Dockerfile
${{ iif(eq(job.os, 'ubuntu2204'), 'FROM ubuntu:22.04', '') }}
${{ iif(eq(job.os, 'ubuntu2404'), 'FROM ubuntu:24.04', '') }}
WORKDIR /root
RUN mkdir rocm
RUN apt update \
&& apt upgrade -y \
&& apt install -y cmake curl git gcc g++ gpg lsb-release lsof ninja-build pkg-config python3 python3-pip wget zip libdrm-dev libelf-dev libgtest-dev libhsakmt-dev libhwloc-dev libnuma-dev libstdc++-12-dev libtbb-dev jq \
&& apt clean all
RUN PACKAGE_NAME=$(curl -s https://repo.radeon.com/rocm/apt/latest/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb") \
&& wget -nv --retry-connrefused https://repo.radeon.com/rocm/apt/latest/pool/main/h/hsa-amd-aqlprofile/$PACKAGE_NAME \
&& mkdir hsa-amd-aqlprofile \
&& dpkg-deb -R $PACKAGE_NAME hsa-amd-aqlprofile \
&& cp -R hsa-amd-aqlprofile/opt/rocm-*/* rocm
RUN ARTIFACT_URL="https://dev.azure.com/ROCm-CI/ROCm-CI/_apis/build/builds/$(Build.BuildId)/artifacts?artifactName=nightly${{ job.os }}${{ job.target }}${{ job.source }}&api-version=7.1" \
&& DOWNLOAD_URL=$(curl -s $ARTIFACT_URL | jq ".resource.downloadUrl" | tr -d '"') \
&& wget -nv --retry-connrefused $DOWNLOAD_URL -O nightly.zip \
&& unzip nightly.zip \
&& tar -xf nightly${{ job.os }}${{ job.target }}${{ job.source }}/rocm-nightly*${{ job.os }}*${{ job.target }}*.tar.gz -C rocm
RUN echo /root/rocm/lib | tee /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/llvm/lib | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/lib64 | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/llvm/lib64 | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN ldconfig -v
ENV PATH="$PATH:/root/rocm/bin"
ENTRYPOINT ["/bin/bash"]
EOF
cat Dockerfile
- ${{ elseif eq(job.packageManager, 'dnf') }}:
- task: Bash@3
displayName: Create Dockerfile
inputs:
workingDirectory: $(Agent.BuildDirectory)
targetType: inline
script: |
cat <<'EOF' > Dockerfile
${{ iif(eq(job.os, 'almalinux8'), 'FROM almalinux:8', '') }}
WORKDIR /root
RUN mkdir rocm
RUN dnf install -y cmake curl git gcc gcc-c++ gnupg2 redhat-lsb-core lsof pkgconf python3 python3-pip wget zip libdrm-devel elfutils-libelf-devel numactl-devel libstdc++-devel tbb-devel jq \
&& dnf clean all
RUN PACKAGE_NAME=$(curl -s https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/ | grep -oP "hsa-amd-aqlprofile-[^\"]+\.rpm" | head -n1) \
&& wget -nv --retry-connrefused https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/$PACKAGE_NAME \
&& mkdir hsa-amd-aqlprofile \
&& dnf -y install rpm-build cpio \
&& rpm2cpio $PACKAGE_NAME | (cd hsa-amd-aqlprofile && cpio -idmv) \
&& cp -R hsa-amd-aqlprofile/opt/rocm-*/* rocm
RUN ARTIFACT_URL="https://dev.azure.com/ROCm-CI/ROCm-CI/_apis/build/builds/$(Build.BuildId)/artifacts?artifactName=nightly${{ job.os }}${{ job.target }}${{ job.source }}&api-version=7.1" \
&& DOWNLOAD_URL=$(curl -s $ARTIFACT_URL | jq ".resource.downloadUrl" | tr -d '"') \
&& wget -nv --retry-connrefused $DOWNLOAD_URL -O nightly.zip \
&& UNZIP_DISABLE_ZIPBOMB_DETECTION=TRUE unzip nightly.zip \
&& tar -xf nightly${{ job.os }}${{ job.target }}${{ job.source }}/rocm-nightly*${{ job.os }}*${{ job.target }}*.tar.gz -C rocm
RUN echo /root/rocm/lib | tee /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/llvm/lib | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/lib64 | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN echo /root/rocm/llvm/lib64 | tee -a /etc/ld.so.conf.d/rocm-ci.conf
RUN ldconfig -v
ENV PATH="$PATH:/root/rocm/bin"
ENTRYPOINT ["/bin/bash"]
EOF
cat Dockerfile
- task: Docker@2
displayName: Build and upload Docker image
inputs:
containerRegistry: ContainerService3
repository: 'nightly-${{ job.os }}-${{ job.target }}-${{ job.source }}'
Dockerfile: '$(Agent.BuildDirectory)/Dockerfile'
buildContext: '$(Agent.BuildDirectory)'
- task: Bash@3
displayName: '!! Docker Run Command !!'
inputs:
targetType: inline
script: echo "docker run -it --network=host --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined rocmexternalcicd.azurecr.io/nightly-${{ job.os }}-${{ job.target }}-${{ job.source }}:$(Build.BuildId)" | tr '[:upper:]' '[:lower:]'

View File

@@ -13,7 +13,7 @@ steps:
CC: $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
inputs:
targetType: inline
workingDirectory: $(Agent.BuildDirectory)/s
workingDirectory: $(Build.SourcesDirectory)
script: |
AZ_API="https://dev.azure.com/ROCm-CI/ROCm-CI/_apis"
GH_API="https://api.github.com/repos/ROCm"

View File

@@ -32,13 +32,13 @@ variables:
- name: GFX90A_TEST_POOL
value: gfx90a_test_pool
- name: LATEST_RELEASE_VERSION
value: 6.4.2
value: 6.4.1
- name: REPO_RADEON_VERSION
value: 6.4.2
value: 6.4.1
- name: NEXT_RELEASE_VERSION
value: 7.0.0
- name: LATEST_RELEASE_TAG
value: rocm-6.4.2
value: rocm-6.4.1
- name: DOCKER_SKIP_GFX
value: gfx90a
- name: AMDMIGRAPHX_PIPELINE_ID
@@ -68,7 +68,7 @@ variables:
- name: HIPBLAS_COMMON_PIPELINE_ID
value: 300
- name: HIPBLAS_PIPELINE_ID
value: 317
value: 87
- name: HIPBLASLT_PIPELINE_ID
value: 301
- name: HIPCUB_PIPELINE_ID
@@ -84,7 +84,7 @@ variables:
- name: HIPSOLVER_PIPELINE_ID
value: 84
- name: HIPSPARSE_PIPELINE_ID
value: 315
value: 83
- name: HIPSPARSELT_PIPELINE_ID
value: 309
- name: HIPTENSOR_PIPELINE_ID

View File

@@ -6,7 +6,7 @@ version: 2
sphinx:
configuration: docs/conf.py
formats: [htmlzip]
formats: [htmlzip, pdf]
python:
install:

View File

@@ -45,6 +45,7 @@ Bootloader
CAS
CCD
CDNA
CGUI
CHTML
CIFAR
CLI
@@ -115,6 +116,7 @@ DevCap
DirectX
Dockerfile
Doxygen
dropless
ELMo
ENDPGM
EPYC
@@ -176,7 +178,6 @@ HBM
HCA
HGX
HIPCC
hipDataType
HIPExtension
HIPIFY
HIPification
@@ -271,6 +272,7 @@ Makefiles
Matplotlib
Matrox
MaxText
Megablocks
Megatrends
Megatron
Mellanox
@@ -280,6 +282,7 @@ Miniconda
MirroredStrategy
Mixtral
MosaicML
MoEs
Mpops
Multicore
Multithreaded

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-6.4.2"
<default revision="refs/tags/rocm-6.4.1"
remote="rocm-org"
sync-c="true"
sync-j="4" />

View File

@@ -30,9 +30,10 @@ ROCm Version,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,
:doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","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","2.18.1, 2.17.1, 2.16.2","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>`,0.4.35,0.4.35,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
:doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>`,N/A,N/A,N/A,N/A,N/A,85f95ae,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>`,2.4.0,2.4.0,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
:doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.3.0.post0,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.3.0.post0,N/A,N/A,N/A,N/A,N/A
:doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat]_,N/A,N/A,N/A,N/A,N/A,N/A,85f95ae,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat]_,N/A,N/A,2.4.0,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
:doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>` [#megablocks_compat]_,N/A,N/A,N/A,N/A,N/A,N/A,0.7.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
`ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.2,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,
1 ROCm Version 6.4.2 6.4.1 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
30 :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>` 2.6, 2.5, 2.4, 2.3 2.6, 2.5, 2.4, 2.3 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
31 :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>` 2.18.1, 2.17.1, 2.16.2 2.18.1, 2.17.1, 2.16.2 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
32 :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>` 0.4.35 0.4.35 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
33 :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_ N/A N/A N/A N/A N/A 85f95ae N/A N/A N/A N/A N/A N/A 0.3.0.post0 N/A N/A N/A N/A N/A
34 :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat]_ 2.4.0 N/A 2.4.0 N/A N/A N/A N/A N/A N/A 85f95ae N/A N/A N/A N/A N/A N/A N/A N/A N/A
35 :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_ :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat]_ N/A N/A N/A 2.4.0 N/A N/A N/A N/A N/A N/A 0.3.0.post0 N/A N/A N/A N/A N/A N/A N/A
36 :doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>` [#megablocks_compat]_ N/A N/A N/A N/A N/A N/A 0.7.0 N/A N/A N/A N/A N/A N/A N/A N/A N/A
37 `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_ 1.2 1.2 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
38
39

View File

@@ -56,7 +56,7 @@ compatibility and system requirements.
:doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1"
:doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.35,0.4.31
:doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>`,N/A,N/A,85f95ae
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>`,2.4.0,2.4.0,N/A
:doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>`,N/A,N/A,0.7.0
`ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.2,1.17.3
,,,
THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix:,,
@@ -241,6 +241,9 @@ Expand for full historical view of:
.. [#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.
.. [#verl_compat] verl is only supported on ROCm 6.2.0.
.. [#stanford-megatron-lm_compat] Stanford Megatron-LM is only supported on ROCm 6.3.0.
.. [#dgl_compat] DGL is only supported on ROCm 6.4.0.
.. [#megablocks_compat] Megablocks is only supported on ROCm 6.3.0.
.. [#kfd_support-past-60] As of 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. For earlier ROCm releases, the compatibility is provided for +/- 2 releases. The tested user space versions on this page were accurate as of the time of initial ROCm release. For the most up-to-date information, see the latest version of this information at `User and kernel-space support matrix <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/user-kernel-space-compat-matrix.html>`_.
.. [#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

@@ -97,7 +97,7 @@ Docker image compatibility
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 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`_. Click the |docker-icon|
`ROCm 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`_. Click the |docker-icon|
icon to view the image on Docker Hub.
.. list-table:: JAX Docker image components
@@ -110,7 +110,7 @@ icon to view the image on Docker Hub.
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4.1-jax0.4.35-py3.12/images/sha256-7a0745a2a2758bdf86397750bac00e9086cbf67d170cfdbb08af73f7c7d18a6a"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4.2-jax0.4.35-py3.12/images/sha256-8918fa806a172c1a10eb2f57131eb31b5d7c8fa1656b8729fe7d3d736112de83"><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
@@ -118,7 +118,7 @@ icon to view the image on Docker Hub.
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4.1-jax0.4.35-py3.10/images/sha256-5f9e8d6e6e69fdc9a1a3f2ba3b1234c3f46c53b7468538c07fd18b00899da54f"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
<a href="https://hub.docker.com/layers/rocm/jax/rocm6.4.2-jax0.4.35-py3.10/images/sha256-a394be13c67b7fc602216abee51233afd4b6cb7adaa57ca97e688fba82f9ad79"><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

View File

@@ -0,0 +1,93 @@
:orphan:
.. meta::
:description: Megablocks compatibility
:keywords: GPU, megablocks, compatibility
.. version-set:: rocm_version latest
********************************************************************************
Megablocks compatibility
********************************************************************************
Megablocks is a light-weight library for mixture-of-experts (MoE) training.
The core of the system is efficient "dropless-MoE" and standard MoE layers.
Megablocks is integrated with `https://github.com/stanford-futuredata/Megatron-LM <https://github.com/stanford-futuredata/Megatron-LM>`_,
where data and pipeline parallel training of MoEs is supported.
* ROCm support for Megablocks is hosted in the official `https://github.com/ROCm/megablocks <https://github.com/ROCm/megablocks>`_ repository.
* Due to independent compatibility considerations, this location differs from the `https://github.com/stanford-futuredata/Megatron-LM <https://github.com/stanford-futuredata/Megatron-LM>`_ upstream repository.
* Use the prebuilt :ref:`Docker image <megablocks-docker-compat>` with ROCm, PyTorch, and Megablocks preinstalled.
* See the :doc:`ROCm Megablocks installation guide <rocm-install-on-linux:install/3rd-party/megablocks-install>` to install and get started.
.. note::
Megablocks is supported on ROCm 6.3.0.
Supported devices
================================================================================
- **Officially Supported**: AMD Instinct MI300X
- **Partially Supported** (functionality or performance limitations): AMD Instinct MI250X, MI210X
Supported models and features
================================================================================
This section summarizes the Megablocks features supported by ROCm.
* Distributed Pre-training
* Activation Checkpointing and Recomputation
* Distributed Optimizer
* Mixture-of-Experts
* dropless-Mixture-of-Experts
.. _megablocks-recommendations:
Use cases and recommendations
================================================================================
The `ROCm Megablocks blog posts <https://rocm.blogs.amd.com/artificial-intelligence/megablocks/README.html>`_
guide how to leverage the ROCm platform for pre-training using the Megablocks framework.
It features how to pre-process datasets and how to begin pre-training on AMD GPUs through:
* Single-GPU pre-training
* Multi-GPU pre-training
.. _megablocks-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes `ROCm Megablocks images <https://hub.docker.com/r/rocm/megablocks/tags>`_
with ROCm and Pytorch backends on Docker Hub. The following Docker image tags and associated
inventories represent the latest Megatron-LM version from the official Docker Hub.
The Docker images have been validated for `ROCm 6.3.0 <https://repo.radeon.com/rocm/apt/6.3/>`_.
Click |docker-icon| to view the image on Docker Hub.
.. list-table::
:header-rows: 1
:class: docker-image-compatibility
* - Docker image
- ROCm
- Megablocks
- PyTorch
- Ubuntu
- Python
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/megablocks/megablocks-0.7.0_rocm6.3.0_ubuntu24.04_py3.12_pytorch2.4.0/images/sha256-372ff89b96599019b8f5f9db469c84add2529b713456781fa62eb9a148659ab4"><i class="fab fa-docker fa-lg"></i> rocm/megablocks</a>
- `6.3.0 <https://repo.radeon.com/rocm/apt/6.3/>`_
- `0.7.0 <https://github.com/databricks/megablocks/releases/tag/v0.7.0>`_
- `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
- 24.04
- `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_

View File

@@ -95,7 +95,7 @@ Docker image compatibility
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 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__.
inventories were tested on `ROCm 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__.
Click |docker-icon| to view the image on Docker Hub.
.. list-table:: PyTorch Docker image components
@@ -112,127 +112,118 @@ Click |docker-icon| to view the image on Docker Hub.
- MAGMA
- UCX
- OMPI
- OFED
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.1_ubuntu24.04_py3.12_pytorch_release_2.6.0/images/sha256-c76af9bfb1c25b0f40d4c29e8652105c57250bf018d23ff595b06bd79666fdd7"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.6.0/images/sha256-6a287591500b4048a9556c1ecc92bc411fd3d552f6c8233bc399f18eb803e8d6"><i class="fab fa-docker fa-lg"></i></a>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
- 24.04
- `3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.16.0 <https://github.com/openucx/ucx/tree/v1.16.0>`__
- `1.16.0+ds-5ubuntu1 <https://github.com/openucx/ucx/tree/v1.16.0>`__
- `4.1.6-7ubuntu2 <https://github.com/open-mpi/ompi/tree/v4.1.6>`__
- `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/rocm6.4.1_ubuntu22.04_py3.10_pytorch_release_2.6.0/images/sha256-f9d226135d51831c810dcb1251636ec61f85c65fcdda03e188c053a5d4f6585b"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu22.04_py3.10_pytorch_release_2.6.0/images/sha256-06b967629ba6657709f04169832cd769a11e6b491e8b1394c361d42d7a0c8b43"><i class="fab fa-docker fa-lg"></i></a>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
- 22.04
- `3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.12.1~rc2-1 <https://github.com/openucx/ucx/tree/v1.12.1>`__
- `4.1.2-2ubuntu1 <https://github.com/open-mpi/ompi/tree/v4.1.2>`__
- `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/rocm6.4.1_ubuntu24.04_py3.12_pytorch_release_2.5.1/images/sha256-3490e74d4f43dcdb3351dd334108d1ccd47e5a687c0523a2424ac1bcdd3dd6dd"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.5.1/images/sha256-62022414217ef6de33ac5b1341e57db8a48e8573fa2ace12d48aa5edd4b99ef0"><i class="fab fa-docker fa-lg"></i></a>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`__
- 24.04
- `3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.16.0+ds-5ubuntu1 <https://github.com/openucx/ucx/tree/v1.10.0>`__
- `4.1.6-7ubuntu2 <https://github.com/open-mpi/ompi/tree/v4.1.6>`__
- `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/rocm6.4.1_ubuntu22.04_py3.10_pytorch_release_2.5.1/images/sha256-26c5dfffb4a54625884abca83166940f17dd27bc75f1b24f6e80fbcb7d4e9afb"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu22.04_py3.11_pytorch_release_2.5.1/images/sha256-469a7f74fc149aff31797e011ee41978f6a190adc69fa423b3c6a718a77bd985"><i class="fab fa-docker fa-lg"></i></a>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`__
- 22.04
- `3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `3.11 <https://www.python.org/downloads/release/python-31113/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.12.1~rc2-1 <https://github.com/openucx/ucx/tree/v1.12.1>`__
- `4.1.2-2ubuntu1 <https://github.com/open-mpi/ompi/tree/v4.1.2>`__
- `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/rocm6.4.1_ubuntu24.04_py3.12_pytorch_release_2.4.1/images/sha256-f378a24561fa6efc178b6dc93fc7d82e5b93653ecd59c89d4476674d29e1284d"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu22.04_py3.10_pytorch_release_2.5.1/images/sha256-37f41a1cd94019688669a1b20d33ea74156e0c129ef6b8270076ef214a6a1a2c"><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 <https://www.python.org/downloads/release/python-31017/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.12.1~rc2-1 <https://github.com/openucx/ucx/tree/v1.12.1>`__
- `4.1.2-2ubuntu1 <https://github.com/open-mpi/ompi/tree/v4.1.2>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.4.1/images/sha256-60824ba83dc1b9d94164925af1f81c0235c105dd555091ec04c57e05177ead1b"><i class="fab fa-docker fa-lg"></i></a>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`__
- 24.04
- `3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.16.0+ds-5ubuntu1 <https://github.com/openucx/ucx/tree/v1.16.0>`__
- `4.1.6-7ubuntu2 <https://github.com/open-mpi/ompi/tree/v4.1.6>`__
- `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/rocm6.4.1_ubuntu22.04_py3.10_pytorch_release_2.4.1/images/sha256-2308dbd0e650b7bf8d548575cbb6e2bdc021f9386384ce570da16d58ee684d22"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu22.04_py3.10_pytorch_release_2.4.1/images/sha256-fe944fe083312f901be6891ab4d3ffebf2eaf2cf4f5f0f435ef0b76ec714fabd"><i class="fab fa-docker fa-lg"></i></a>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`__
- 22.04
- `3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.12.1~rc2-1 <https://github.com/openucx/ucx/tree/v1.12.1>`__
- `4.1.2-2ubuntu1 <https://github.com/open-mpi/ompi/tree/v4.1.2>`__
- `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/rocm6.4.1_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-eefd2ab019728f91f94c5e6a9463cb0ea900b3011458d18fe5d88e50c0b57d86"><i class="fab fa-docker fa-lg"></i></a>
<a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-1d59251c47170c5b8960d1172a4dbe52f5793d8966edd778f168eaf32d56661a"><i class="fab fa-docker fa-lg"></i></a>
- `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`__
- 24.04
- `3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `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/>`__
- `1.16.0+ds-5ubuntu1 <https://github.com/openucx/ucx/tree/v1.16.0>`__
- `4.1.6-7ubuntu2 <https://github.com/open-mpi/ompi/tree/v4.1.6>`__
- `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/rocm6.4.1_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-473643226ab0e93a04720b256ed772619878abf9c42b9f84828cefed522696fd"><i class="fab fa-docker fa-lg"></i></a>
- `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`__
- 22.04
- `3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `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/>`__
- `1.12.1~rc2-1 <https://github.com/openucx/ucx/tree/v1.12.1>`__
- `4.1.2-2ubuntu1 <https://github.com/open-mpi/ompi/tree/v4.1.2>`__
- `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
================================================================================

View File

@@ -56,7 +56,7 @@ Docker image compatibility
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 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__. Click
validated for `ROCm 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__. Click
the |docker-icon| icon to view the image on Docker Hub.
.. list-table:: TensorFlow Docker image components
@@ -65,128 +65,61 @@ the |docker-icon| icon to view the image on Docker Hub.
* - 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>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.12-tf2.18-dev/images/sha256-96754ce2d30f729e19b497279915b5212ba33d5e408e7e5dd3f2304d87e3441e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- dev
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- 24.04
- `Python 3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `Python 3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.12-tf2.18-runtime/images/sha256-d14d8c4989e7c9a60f4e72461b9e349de72347c6162dcd6897e6f4f80ffbb440"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.10-tf2.18-dev/images/sha256-fa741508d383858e86985a9efac85174529127408102558ae2e3a4ac894eea1e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- runtime
- 24.04
- `Python 3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- 22.04
- `Python 3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.18-dev/images/sha256-081e5bd6615a5dc17247ebd2ccc26895c3feeff086720400fa39b477e60a77c0"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.12-tf2.17-dev/images/sha256-3a0aef09f2a8833c2b64b85874dd9449ffc2ad257351857338ff5b706c03a418"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- dev
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.18-runtime/images/sha256-bf369637378264f4af6ddad5ca8b8611d3e372ffbea9ab7a06f1e122f0a0867b"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- runtime
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.12-tf2.17-dev/images/sha256-5a502008c50d0b6508e6027f911bdff070a7493700ae064bed74e1d22b91ed50"><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
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- 24.04
- `Python 3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `Python 3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.12-tf2.17-runtime/images/sha256-1ee5dfffceb71ac66617ada33de3a10de0cb74199cc4b82441192e5e92fa2ddf"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.10-tf2.17-dev/images/sha256-bc7341a41ebe7ab261aa100732874507c452421ef733e408ac4f05ed453b0bc5"><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 3.12.10 <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/rocm6.4.1-py3.10-tf2.17-dev/images/sha256-109218ad92bfae83bbd2710475f7502166e1ed54ca0b9748a9cbc3f5a1d75af1"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- dev
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `Python 3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.17-runtime/images/sha256-5d78bd5918d394f92263daa2990e88d695d27200dd90ed83ec64d20c7661c9c1"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.12-tf2.16-dev/images/sha256-4841a8df7c340dab79bf9362dad687797649a00d594e0832eb83ea6880a40d3b"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- runtime
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.12-tf2.16-dev/images/sha256-b09b1ad921c09c687b7c916141051e9fcf15539a5686e5aa67c689195a522719"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- dev
- `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- 24.04
- `Python 3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `Python 3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.12-tf2.16-runtime/images/sha256-20dbd824e85558abfe33fc9283cc547d88cde3c623fe95322743a5082f883a64"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.10-tf2.16-dev/images/sha256-883fa95aba960c58a3e46fceaa18f03ede2c7df89b8e9fd603ab2d47e0852897"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- runtime
- 24.04
- `Python 3.12.10 <https://www.python.org/downloads/release/python-31210/>`__
- `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.16-dev/images/sha256-36c4fa047c86e2470ac473ec1429aea6d4b8934b90ffeb34d1afab40e7e5b377"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.16.2 <https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.16-dev/images/sha256-36c4fa047c86e2470ac473ec1429aea6d4b8934b90ffeb34d1afab40e7e5b377>`__
- dev
- `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.16.2-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.1-py3.10-tf2.16-runtime/images/sha256-a94150ffb81365234ebfa34e764db5474bc6ab7d141b56495eac349778dafcf3"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.1/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- runtime
- 22.04
- `Python 3.10.17 <https://www.python.org/downloads/release/python-31017/>`__
- `Python 3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__

View File

@@ -16,56 +16,25 @@ verl offers a scalable, open-source fine-tuning solution optimized for AMD Insti
* See the `verl documentation <https://verl.readthedocs.io/en/latest/>`_ for more information about verl.
* The official verl GitHub repository is `https://github.com/volcengine/verl <https://github.com/volcengine/verl>`_.
* Use the AMD-validated :ref:`Docker images <verl-docker-compat>` with ROCm and verl preinstalled.
* See the :doc:`ROCm verl installation guide <rocm-install-on-linux:install/3rd-party/verl-install>` to get started.
* See the :doc:`ROCm verl installation guide <rocm-install-on-linux:install/3rd-party/verl-install>` to install and get started.
.. note::
verl is supported on ROCm 6.2.0.
.. _verl-recommendations:
Use cases and recommendations
================================================================================
The benefits of verl in large-scale reinforcement leaning from human feedback (RLHF) are discussed in the `Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm Integration <https://rocm.blogs.amd.com/artificial-intelligence/verl-large-scale/README.html>`_ blog.
.. _verl-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes ready-made `ROCm verl Docker images <https://hub.docker.com/r/rocm/verl>`_
with ROCm backends on Docker Hub. The following Docker image tags and associated inventories represent the latest verl version from the official Docker Hub. The Docker images have been validated for `ROCm 6.2.0 <https://repo.radeon.com/rocm/apt/6.2/>`_.
.. list-table::
:header-rows: 1
* - Docker image
- verl
- Linux
- Pytorch
- Python
- vllm
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/verl/verl-0.3.0.post0_rocm6.2_vllm0.6.3/images/sha256-cbe423803fd7850448b22444176bee06f4dcf22cd3c94c27732752d3a39b04b2"><i class="fab fa-docker fa-lg"></i> rocm/verl</a>
- `0.3.0post0 <https://github.com/volcengine/verl/releases/tag/v0.3.0.post0>`_
- Ubuntu 20.04
- `2.5.0 <https://download.pytorch.org/whl/cu118/torch-2.5.0%2Bcu118-cp39-cp39-linux_x86_64.whl#sha256=1ee24b267418c37b297529ede875b961e382c1c365482f4142af2398b92ed127>`_
- `3.9.19 <https://www.python.org/downloads/release/python-3919/>`_
- `0.6.4 <https://github.com/vllm-project/vllm/releases/tag/v0.6.4>`_
The benefits of verl in large-scale reinforcement learning from human feedback (RLHF) are discussed in the `Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm Integration <https://rocm.blogs.amd.com/artificial-intelligence/verl-large-scale/README.html>`_ blog.
.. _verl-supported_features:
Supported features
===============================================================================
The following table shows verl and ROCm support for GPU-accelerated modules.
The following table shows verl on ROCm support for GPU-accelerated modules.
.. list-table::
:header-rows: 1
@@ -77,9 +46,41 @@ The following table shows verl and ROCm support for GPU-accelerated modules.
* - ``FSDP``
- Training engine
- 0.3.0.post0
- 6.2
- 6.2.0
* - ``vllm``
- Inference engine
- 0.3.0.post0
- 6.2
- 6.2.0
.. _verl-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes ready-made `ROCm verl Docker images <https://hub.docker.com/r/rocm/verl/tags>`_
with ROCm backends on Docker Hub. The following Docker image tags and associated inventories represent the available verl versions from the official Docker Hub.
.. list-table::
:header-rows: 1
* - Docker image
- ROCm
- verl
- Ubuntu
- Pytorch
- Python
- vllm
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/verl/verl-0.3.0.post0_rocm6.2_vllm0.6.3/images/sha256-cbe423803fd7850448b22444176bee06f4dcf22cd3c94c27732752d3a39b04b2"><i class="fab fa-docker fa-lg"></i> rocm/verl</a>
- `6.2.0 <https://repo.radeon.com/rocm/apt/6.2/>`_
- `0.3.0post0 <https://github.com/volcengine/verl/releases/tag/v0.3.0.post0>`_
- 20.04
- `2.5.0 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
- `3.9.19 <https://www.python.org/downloads/release/python-3919/>`_
- `0.6.3 <https://github.com/vllm-project/vllm/releases/tag/v0.6.3>`_

View File

@@ -96,6 +96,10 @@ article_pages = [
{"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": "compatibility/ml-compatibility/verl-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/stanford-megatron-lm-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/dgl-compatibility", "os": ["linux"]},
{"file": "compatibility/ml-compatibility/megablocks-compatibility", "os": ["linux"]},
{"file": "how-to/deep-learning-rocm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/index", "os": ["linux"]},

View File

@@ -20,6 +20,7 @@ features for these ROCm-enabled deep learning frameworks.
* :doc:`verl compatibility <../compatibility/ml-compatibility/verl-compatibility>`
* :doc:`Stanford Megatron-LM compatibility <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>`
* :doc:`DGL compatibility <../compatibility/ml-compatibility/dgl-compatibility>`
* :doc:`Megablocks compatibility <../compatibility/ml-compatibility/megablocks-compatibility>`
This chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
@@ -35,6 +36,7 @@ See the installation instructions to get started.
* :doc:`verl for ROCm <rocm-install-on-linux:install/3rd-party/verl-install>`
* :doc:`Stanford Megatron-LM for ROCm <rocm-install-on-linux:install/3rd-party/stanford-megatron-lm-install>`
* :doc:`DGL for ROCm <rocm-install-on-linux:install/3rd-party/dgl-install>`
* :doc:`Megablocks for ROCm <rocm-install-on-linux:install/3rd-party/megablocks-install>`
.. note::

View File

@@ -24,7 +24,7 @@ If youre new to ROCm, refer to the :doc:`ROCm quick start install guide for L
If youre using a Radeon GPU for graphics-accelerated applications, refer to the
`Radeon installation instructions <https://rocm.docs.amd.com/projects/radeon/en/docs-6.1.3/docs/install/native_linux/install-radeon.html>`_.
You can install ROCm on :ref:`compatible systems <rocm-install-on-linux:reference/system-requirements>` via your Linux
You can install ROCm on :doc:`compatible systems <rocm-install-on-linux:reference/system-requirements>` via your Linux
distribution's package manager. See the following documentation resources to get started:
* :doc:`ROCm installation overview <rocm-install-on-linux:install/install-overview>`

View File

@@ -285,7 +285,7 @@ For more information about ROCm hardware compatibility, see the ROCm `Compatibil
- Radeon AI PRO R9700
- RDNA4
- gfx1201
- 16
- 32
- 64
- 32 or 64
- 128

View File

@@ -93,7 +93,7 @@ The following table shows whether a ROCm library is graph-safe.
- ⚠️ (experimental)
*
- `rocThrust <https://github.com/ROCm/rocThrust>`_
- ❌ (see :doc:`details <rocthrust:hipgraph-support>`)
- ❌ (see :doc:`details <rocthrust:reference/rocThrust-hipgraph-support>`)
*
- `rocWMMA <https://github.com/ROCm/rocWMMA>`_
-

View File

@@ -55,7 +55,7 @@ The floating-point types supported by ROCm are listed in the following table.
.. list-table::
:header-rows: 1
:widths: 15,25,60
:widths: 15,15,70
*
- Type name
@@ -63,19 +63,18 @@ The floating-point types supported by ROCm are listed in the following table.
- Description
*
- float8 (E4M3)
- | ``__hip_fp8_e4m3_fnuz``,
| ``__hip_fp8_e4m3``
- An 8-bit floating-point number with **S1E4M3** bit layout, as described in :doc:`low precision floating point types page <hip:reference/low_fp_types>`.
The FNUZ variant has expanded range with no infinity or signed zero (NaN represented as negative zero),
while the OCP variant follows the Open Compute Project specification.
- ``__hip_fp8_e4m3_fnuz``
- An 8-bit floating-point number that mostly follows IEEE-754 conventions
and **S1E4M3** bit layout, as described in `8-bit Numerical Formats for Deep Neural Networks <https://arxiv.org/abs/2206.02915>`_,
with expanded range and no infinity or signed zero. NaN is represented
as negative zero.
*
- float8 (E5M2)
- | ``__hip_fp8_e5m2_fnuz``,
| ``__hip_fp8_e5m2``
- An 8-bit floating-point number with **S1E5M2** bit layout, as described in :doc:`low precision floating point types page <hip:reference/low_fp_types>`.
The FNUZ variant has expanded range with no infinity or signed zero (NaN represented as negative zero),
while the OCP variant follows the Open Compute Project specification.
- ``__hip_fp8_e5m2_fnuz``
- An 8-bit floating-point number mostly following IEEE-754 conventions and
**S1E5M2** bit layout, as described in `8-bit Numerical Formats for Deep Neural Networks <https://arxiv.org/abs/2206.02915>`_,
with expanded range and no infinity or signed zero. NaN is represented
as negative zero.
*
- float16
- ``half``
@@ -108,8 +107,9 @@ The floating-point types supported by ROCm are listed in the following table.
* The float8 and tensorfloat32 types are internal types used in calculations
in Matrix Cores and can be stored in any type of the same size.
* CNDA3 natively supports FP8 FNUZ (E4M3 and E5M2), which differs from the customised
FP8 format used in NVIDIA's H100
* The encodings for FP8 (E5M2) and FP8 (E4M3) that the
MI300 series natively supports differ from the FP8 (E5M2) and FP8 (E4M3)
encodings used in NVIDIA H100
(`FP8 Formats for Deep Learning <https://arxiv.org/abs/2209.05433>`_).
* In some AMD documents and articles, float8 (E5M2) is referred to as bfloat8.
@@ -128,7 +128,7 @@ pages.
:header-rows: 1
*
- Icon
- Icon
- Definition
*
@@ -163,137 +163,12 @@ pages.
* Any type can be emulated by software, but this page does not cover such
cases.
Data type support by hardware architecture
Data type support by Hardware Architecture
==========================================
AMD's GPU lineup spans multiple architecture generations:
* CDNA1 architecture: includes models such as MI100
* CDNA2 architecture: includes models such as MI210, MI250, and MI250X
* CDNA3 architecture: includes models such as MI300A, MI300X, and MI325X
* RDNA3 architecture: includes models such as RX 7900XT and RX 7900XTX
* RDNA4 architecture: includes models such as RX 9070 and RX 9070XT
HIP C++ type implementation support
-----------------------------------
The HIP C++ types available on different hardware platforms are listed in the
following table.
.. list-table::
:header-rows: 1
*
- HIP C++ Type
- CDNA1
- CDNA2
- CDNA3
- RDNA3
- RDNA4
*
- ``int8_t``, ``uint8_t``
-
-
-
-
-
*
- ``int16_t``, ``uint16_t``
-
-
-
-
-
*
- ``int32_t``, ``uint32_t``
-
-
-
-
-
*
- ``int64_t``, ``uint64_t``
-
-
-
-
-
*
- ``__hip_fp8_e4m3_fnuz``
-
-
-
-
-
*
- ``__hip_fp8_e5m2_fnuz``
-
-
-
-
-
*
- ``__hip_fp8_e4m3``
-
-
-
-
-
*
- ``__hip_fp8_e5m2``
-
-
-
-
-
*
- ``half``
-
-
-
-
-
*
- ``bfloat16``
-
-
-
-
-
*
- ``float``
-
-
-
-
-
*
- ``double``
-
-
-
-
-
.. note::
Library support for specific data types is contingent upon hardware support.
Even if a ROCm library indicates support for a particular data type, that type
will only be fully functional if the underlying hardware architecture (as shown
in the table above) also supports it. For example, fp8 types are only available
on architectures shown with a checkmark in the relevant rows.
The MI200 series GPUs, which include MI210, MI250, and MI250X, are based on the
CDNA2 architecture. The MI300 series GPUs, consisting of MI300A, MI300X, and
MI325X, are based on the CDNA3 architecture.
Compute units support
---------------------
@@ -315,33 +190,19 @@ The following table lists data type support for compute units.
- int32
- int64
*
- CDNA1
- MI100
-
-
-
-
*
- CDNA2
- MI200 series
-
-
-
-
*
- CDNA3
-
-
-
-
*
- RDNA3
-
-
-
-
*
- RDNA4
- MI300 series
-
-
-
@@ -363,7 +224,7 @@ The following table lists data type support for compute units.
- float32
- float64
*
- CDNA1
- MI100
-
-
-
@@ -372,7 +233,7 @@ The following table lists data type support for compute units.
-
-
*
- CDNA2
- MI200 series
-
-
-
@@ -381,27 +242,7 @@ The following table lists data type support for compute units.
-
-
*
- CDNA3
-
-
-
-
-
-
-
*
- RDNA3
-
-
-
-
-
-
-
*
- RDNA4
- MI300 series
-
-
-
@@ -430,33 +271,19 @@ The following table lists data type support for AMD GPU matrix cores.
- int32
- int64
*
- CDNA1
- MI100
-
-
-
-
*
- CDNA2
- MI200 series
-
-
-
-
*
- CDNA3
-
-
-
-
*
- RDNA3
-
-
-
-
*
- RDNA4
- MI300 series
-
-
-
@@ -478,7 +305,7 @@ The following table lists data type support for AMD GPU matrix cores.
- float32
- float64
*
- CDNA1
- MI100
-
-
-
@@ -487,7 +314,7 @@ The following table lists data type support for AMD GPU matrix cores.
-
-
*
- CDNA2
- MI200 series
-
-
-
@@ -496,7 +323,7 @@ The following table lists data type support for AMD GPU matrix cores.
-
-
*
- CDNA3
- MI300 series
-
-
-
@@ -505,26 +332,6 @@ The following table lists data type support for AMD GPU matrix cores.
-
-
*
- RDNA3
-
-
-
-
-
-
-
*
- RDNA4
-
-
-
-
-
-
-
Atomic operations support
-------------------------
@@ -550,33 +357,19 @@ page.
- int32
- int64
*
- CDNA1
- MI100
-
-
-
-
*
- CDNA2
- MI200 series
-
-
-
-
*
- CDNA3
-
-
-
-
*
- RDNA3
-
-
-
-
*
- RDNA4
- MI300 series
-
-
-
@@ -598,7 +391,7 @@ page.
- float32
- float64
*
- CDNA1
- MI100
-
-
-
@@ -607,7 +400,7 @@ page.
-
-
*
- CDNA2
- MI200 series
-
-
-
@@ -616,7 +409,7 @@ page.
-
-
*
- CDNA3
- MI300 series
-
-
-
@@ -625,26 +418,6 @@ page.
-
-
*
- RDNA3
-
-
-
-
-
-
-
*
- RDNA4
-
-
-
-
-
-
-
.. note::
You can emulate atomic operations using software for cases that are not
@@ -679,98 +452,36 @@ detailed description.
- int16
- int32
- int64
*
- :doc:`Composable Kernel <composable_kernel:reference/Composable_Kernel_supported_scalar_types>`
- ✅/✅
- ❌/❌
- ✅/✅
- ❌/❌
*
- :doc:`hipCUB <hipcub:api-reference/data-type-support>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`hipRAND <hiprand:api-reference/data-type-support>`
- NA/✅
- NA/✅
- NA/✅
- NA/✅
*
- :doc:`hipSOLVER <hipsolver:reference/precision>`
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
*
- :doc:`hipSPARSELt <hipsparselt:reference/data-type-support>`
- ✅/✅
- ❌/❌
- ❌/❌
- ❌/❌
*
- :doc:`hipTensor <hiptensor:api-reference/api-reference>`
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
*
- :doc:`MIGraphX <amdmigraphx:reference/cpp>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`MIOpen <miopen:reference/datatypes>`
- ⚠️/⚠️
- ❌/❌
- ⚠️/⚠️
- ❌/❌
*
- :doc:`RCCL <rccl:api-reference/library-specification>`
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`rocFFT <rocfft:reference/api>`
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
*
- :doc:`rocPRIM <rocprim:reference/data-type-support>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`rocRAND <rocrand:api-reference/data-type-support>`
- NA/✅
- NA/✅
- NA/✅
- NA/✅
*
- :doc:`rocSOLVER <rocsolver:reference/precision>`
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
- :doc:`hipRAND <hiprand:api-reference/data-type-support>`
- NA/✅
- NA/✅
- NA/✅
- NA/✅
*
- :doc:`rocPRIM <rocprim:reference/data-type-support>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`hipCUB <hipcub:api-reference/data-type-support>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`rocThrust <rocthrust:data-type-support>`
- ✅/✅
@@ -778,14 +489,6 @@ detailed description.
- ✅/✅
- ✅/✅
*
- :doc:`rocWMMA <rocwmma:api-reference/api-reference-guide>`
- ✅/✅
- ❌/❌
- ❌/✅
- ❌/❌
.. tab-item:: Floating-point types
:sync: floating-point-type
@@ -801,117 +504,15 @@ detailed description.
- tensorfloat32
- float32
- float64
*
- :doc:`Composable Kernel <composable_kernel:reference/Composable_Kernel_supported_scalar_types>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`hipCUB <hipcub:api-reference/data-type-support>`
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`hipRAND <hiprand:api-reference/data-type-support>`
- NA/❌
- NA/❌
- NA/✅
- NA/❌
- NA/❌
- NA/✅
- NA/✅
*
- :doc:`hipSOLVER <hipsolver:reference/precision>`
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`hipSPARSELt <hipsparselt:reference/data-type-support>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ❌/❌
- ❌/❌
- ❌/❌
*
- :doc:`hipTensor <hiptensor:api-reference/api-reference>`
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`MIGraphX <amdmigraphx:reference/cpp>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
*
- :doc:`MIOpen <miopen:reference/datatypes>`
- ⚠️/⚠️
- ⚠️/⚠️
- ✅/✅
- ⚠️/⚠️
- ❌/❌
- ✅/✅
- ⚠️/⚠️
*
- :doc:`RCCL <rccl:api-reference/library-specification>`
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`rocFFT <rocfft:reference/api>`
- ❌/❌
- ❌/❌
- ✅/✅
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`rocPRIM <rocprim:reference/data-type-support>`
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`rocRAND <rocrand:api-reference/data-type-support>`
- NA/❌
@@ -921,17 +522,33 @@ detailed description.
- NA/❌
- NA/✅
- NA/✅
*
- :doc:`rocSOLVER <rocsolver:reference/precision>`
- /❌
- /❌
- ❌/❌
- :doc:`hipRAND <hiprand:api-reference/data-type-support>`
- NA/❌
- NA/❌
- NA/✅
- NA/❌
- NA/❌
- NA/✅
- NA/✅
*
- :doc:`rocPRIM <rocprim:reference/data-type-support>`
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`hipCUB <hipcub:api-reference/data-type-support>`
- ❌/❌
- ❌/❌
- ✅/✅
- ✅/✅
- ❌/❌
- ✅/✅
- ✅/✅
*
- :doc:`rocThrust <rocthrust:data-type-support>`
- ❌/❌
@@ -942,123 +559,62 @@ detailed description.
- ✅/✅
- ✅/✅
*
- :doc:`rocWMMA <rocwmma:api-reference/api-reference-guide>`
- ✅/❌
- ✅/❌
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
- ✅/✅
.. note::
As random number generation libraries, rocRAND and hipRAND only specify output
data types for the random values they generate, with no need for input data
types.
hipDataType enumeration
-----------------------
Libraries internal calculations type support
--------------------------------------------
The ``hipDataType`` enumeration defines data precision types and is primarily
used when the data reference itself does not include type information, such as
in ``void*`` pointers. This enumeration is mainly utilized in BLAS libraries.
The HIP type equivalents of the ``hipDataType`` enumeration are listed in the
following table with descriptions and values.
The following tables list ROCm library support for specific internal data types.
Refer to the corresponding library data type support page for a detailed
description.
.. list-table::
:header-rows: 1
:widths: 25,25,10,40
.. tab-set::
*
- hipDataType
- HIP type
- Value
- Description
.. tab-item:: Integral types
:sync: integral-type
*
- ``HIP_R_8I``
- ``int8_t``
- 3
- 8-bit real signed integer.
.. list-table::
:header-rows: 1
*
- ``HIP_R_8U``
- ``uint8_t``
- 8
- 8-bit real unsigned integer.
*
- Library internal data type name
- int8
- int16
- int32
- int64
*
- :doc:`hipSPARSELt <hipsparselt:reference/data-type-support>`
-
-
-
-
*
- ``HIP_R_16I``
- ``int16_t``
- 20
- 16-bit real signed integer.
*
- ``HIP_R_16U``
- ``uint16_t``
- 22
- 16-bit real unsigned integer.
.. tab-item:: Floating-point types
:sync: floating-point-type
*
- ``HIP_R_32I``
- ``int32_t``
- 10
- 32-bit real signed integer.
.. list-table::
:header-rows: 1
*
- ``HIP_R_32U``
- ``uint32_t``
- 12
- 32-bit real unsigned integer.
*
- ``HIP_R_32F``
- ``float``
- 0
- 32-bit real single precision floating-point.
*
- ``HIP_R_64F``
- ``double``
- 1
- 64-bit real double precision floating-point.
*
- ``HIP_R_16F``
- ``half``
- 2
- 16-bit real half precision floating-point.
*
- ``HIP_R_16BF``
- ``bfloat16``
- 14
- 16-bit real bfloat16 precision floating-point.
*
- ``HIP_R_8F_E4M3``
- ``__hip_fp8_e4m3``
- 28
- 8-bit real float8 precision floating-point (OCP version).
*
- ``HIP_R_8F_E5M2``
- ``__hip_fp8_e5m2``
- 29
- 8-bit real bfloat8 precision floating-point (OCP version).
*
- ``HIP_R_8F_E4M3_FNUZ``
- ``__hip_fp8_e4m3_fnuz``
- 1000
- 8-bit real float8 precision floating-point (FNUZ version).
*
- ``HIP_R_8F_E5M2_FNUZ``
- ``__hip_fp8_e5m2_fnuz``
- 1001
- 8-bit real bfloat8 precision floating-point (FNUZ version).
The full list of the ``hipDataType`` enumeration listed in `library_types.h <https://github.com/ROCm/hip/blob/amd-staging/include/hip/library_types.h>`_ .
*
- Library internal data type name
- float8 (E4M3)
- float8 (E5M2)
- float16
- bfloat16
- tensorfloat32
- float32
- float64
*
- :doc:`hipSPARSELt <hipsparselt:reference/data-type-support>`
-
-
-
-
-
-
-

View File

@@ -1,4 +1,4 @@
rocm-docs-core==1.20.1
rocm-docs-core==1.26.0
sphinx-reredirects
sphinx-sitemap
sphinxcontrib.datatemplates==0.11.0

View File

@@ -10,7 +10,7 @@ alabaster==1.0.0
# via sphinx
asttokens==3.0.0
# via stack-data
attrs==25.3.0
attrs==25.4.0
# via
# jsonschema
# jupyter-cache
@@ -19,34 +19,32 @@ babel==2.17.0
# via
# pydata-sphinx-theme
# sphinx
beautifulsoup4==4.13.4
beautifulsoup4==4.14.2
# via pydata-sphinx-theme
breathe==4.36.0
# via rocm-docs-core
certifi==2025.4.26
certifi==2025.10.5
# via requests
cffi==1.17.1
cffi==2.0.0
# via
# cryptography
# pynacl
charset-normalizer==3.4.2
charset-normalizer==3.4.4
# via requests
click==8.2.1
click==8.3.0
# via
# jupyter-cache
# sphinx-external-toc
comm==0.2.2
comm==0.2.3
# via ipykernel
cryptography==45.0.3
cryptography==46.0.2
# via pyjwt
debugpy==1.8.14
debugpy==1.8.17
# via ipykernel
decorator==5.2.1
# via ipython
defusedxml==0.7.1
# via sphinxcontrib-datatemplates
deprecated==1.2.18
# via pygithub
docutils==0.21.2
# via
# myst-parser
@@ -54,19 +52,19 @@ docutils==0.21.2
# sphinx
exceptiongroup==1.3.0
# via ipython
executing==2.2.0
executing==2.2.1
# via stack-data
fastjsonschema==2.21.1
fastjsonschema==2.21.2
# via
# nbformat
# rocm-docs-core
gitdb==4.0.12
# via gitpython
gitpython==3.1.44
gitpython==3.1.45
# via rocm-docs-core
greenlet==3.2.3
greenlet==3.2.4
# via sqlalchemy
idna==3.10
idna==3.11
# via requests
imagesize==1.4.1
# via sphinx
@@ -74,7 +72,7 @@ importlib-metadata==8.7.0
# via
# jupyter-cache
# myst-nb
ipykernel==6.29.5
ipykernel==7.0.0
# via myst-nb
ipython==8.37.0
# via
@@ -86,9 +84,9 @@ jinja2==3.1.6
# via
# myst-parser
# sphinx
jsonschema==4.24.0
jsonschema==4.25.1
# via nbformat
jsonschema-specifications==2025.4.1
jsonschema-specifications==2025.9.1
# via jsonschema
jupyter-cache==1.0.1
# via myst-nb
@@ -106,17 +104,17 @@ markdown-it-py==3.0.0
# via
# mdit-py-plugins
# myst-parser
markupsafe==3.0.2
markupsafe==3.0.3
# via jinja2
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdit-py-plugins==0.4.2
mdit-py-plugins==0.5.0
# via myst-parser
mdurl==0.1.2
# via markdown-it-py
myst-nb==1.2.0
myst-nb==1.3.0
# via rocm-docs-core
myst-parser==4.0.1
# via myst-nb
@@ -134,31 +132,30 @@ nest-asyncio==1.6.0
packaging==25.0
# via
# ipykernel
# pydata-sphinx-theme
# sphinx
parso==0.8.4
parso==0.8.5
# via jedi
pexpect==4.9.0
# via ipython
platformdirs==4.3.8
platformdirs==4.5.0
# via jupyter-core
prompt-toolkit==3.0.51
prompt-toolkit==3.0.52
# via ipython
psutil==7.0.0
psutil==7.1.0
# via ipykernel
ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pycparser==2.22
pycparser==2.23
# via cffi
pydata-sphinx-theme==0.15.4
pydata-sphinx-theme==0.16.1
# via
# rocm-docs-core
# sphinx-book-theme
pygithub==2.6.1
pygithub==2.8.1
# via rocm-docs-core
pygments==2.19.1
pygments==2.19.2
# via
# accessible-pygments
# ipython
@@ -166,11 +163,11 @@ pygments==2.19.1
# sphinx
pyjwt[crypto]==2.10.1
# via pygithub
pynacl==1.5.0
pynacl==1.6.0
# via pygithub
python-dateutil==2.9.0.post0
# via jupyter-client
pyyaml==6.0.2
pyyaml==6.0.3
# via
# jupyter-cache
# myst-nb
@@ -178,21 +175,21 @@ pyyaml==6.0.2
# rocm-docs-core
# sphinx-external-toc
# sphinxcontrib-datatemplates
pyzmq==26.4.0
pyzmq==27.1.0
# via
# ipykernel
# jupyter-client
referencing==0.36.2
referencing==0.37.0
# via
# jsonschema
# jsonschema-specifications
requests==2.32.4
requests==2.32.5
# via
# pygithub
# sphinx
rocm-docs-core==1.20.1
rocm-docs-core==1.26.0
# via -r requirements.in
rpds-py==0.25.1
rpds-py==0.27.1
# via
# jsonschema
# referencing
@@ -202,7 +199,7 @@ smmap==5.0.2
# via gitdb
snowballstemmer==3.0.1
# via sphinx
soupsieve==2.7
soupsieve==2.8
# via beautifulsoup4
sphinx==8.1.3
# via
@@ -220,7 +217,7 @@ sphinx==8.1.3
# sphinx-reredirects
# sphinxcontrib-datatemplates
# sphinxcontrib-runcmd
sphinx-book-theme==1.1.4
sphinx-book-theme==1.1.3
# via rocm-docs-core
sphinx-copybutton==0.5.2
# via rocm-docs-core
@@ -234,7 +231,7 @@ sphinx-notfound-page==1.1.0
# via rocm-docs-core
sphinx-reredirects==0.1.6
# via -r requirements.in
sphinx-sitemap==2.7.2
sphinx-sitemap==2.9.0
# via -r requirements.in
sphinxcontrib-applehelp==2.0.0
# via sphinx
@@ -252,21 +249,20 @@ sphinxcontrib-runcmd==0.2.0
# via sphinxcontrib-datatemplates
sphinxcontrib-serializinghtml==2.0.0
# via sphinx
sqlalchemy==2.0.41
sqlalchemy==2.0.44
# via jupyter-cache
stack-data==0.6.3
# via ipython
tabulate==0.9.0
# via jupyter-cache
tomli==2.2.1
tomli==2.3.0
# via sphinx
tornado==6.5.1
tornado==6.5.2
# via
# ipykernel
# jupyter-client
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# jupyter-client
@@ -274,9 +270,10 @@ traitlets==5.14.3
# matplotlib-inline
# nbclient
# nbformat
typing-extensions==4.14.0
typing-extensions==4.15.0
# via
# beautifulsoup4
# cryptography
# exceptiongroup
# ipython
# myst-nb
@@ -288,9 +285,7 @@ urllib3==2.5.0
# via
# pygithub
# requests
wcwidth==0.2.13
wcwidth==0.2.14
# via prompt-toolkit
wrapt==1.17.2
# via deprecated
zipp==3.23.0
# via importlib-metadata

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-6.4.2"
<default revision="refs/tags/rocm-6.4.1"
remote="rocm-org"
sync-c="true"
sync-j="4" />

View File

@@ -1,79 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
<manifest>
<remote name="rocm-org" fetch="https://github.com/ROCm/" />
<default revision="refs/tags/rocm-6.4.2"
remote="rocm-org"
sync-c="true"
sync-j="4" />
<!--list of projects for ROCm-->
<project name="ROCm" revision="roc-6.4.x" />
<project name="ROCK-Kernel-Driver" />
<project name="ROCR-Runtime" />
<project name="amdsmi" />
<project name="rdc" />
<project name="rocm_bandwidth_test" />
<project name="rocm_smi_lib" />
<project name="rocm-core" />
<project name="rocm-examples" />
<project name="rocminfo" />
<project name="rocprofiler" />
<project name="rocprofiler-register" />
<project name="rocprofiler-sdk" />
<project name="rocprofiler-compute" />
<project name="rocprofiler-systems" />
<project name="roctracer" />
<!--HIP Projects-->
<project name="hip" />
<project name="hip-tests" />
<project name="HIPIFY" />
<project name="clr" />
<project name="hipother" />
<!-- The following projects are all associated with the AMDGPU LLVM compiler -->
<project name="half" />
<project name="llvm-project" />
<project name="spirv-llvm-translator" />
<!-- gdb projects -->
<project name="ROCdbgapi" />
<project name="ROCgdb" />
<project name="rocr_debug_agent" />
<!-- ROCm Libraries -->
<project groups="mathlibs" name="AMDMIGraphX" />
<project groups="mathlibs" name="MIOpen" />
<project groups="mathlibs" name="MIVisionX" />
<project groups="mathlibs" name="ROCmValidationSuite" />
<project groups="mathlibs" name="Tensile" />
<project groups="mathlibs" name="composable_kernel" />
<project groups="mathlibs" name="hipBLAS-common" />
<project groups="mathlibs" name="hipBLAS" />
<project groups="mathlibs" name="hipBLASLt" />
<project groups="mathlibs" name="hipCUB" />
<project groups="mathlibs" name="hipFFT" />
<project groups="mathlibs" name="hipRAND" />
<project groups="mathlibs" name="hipSOLVER" />
<project groups="mathlibs" name="hipSPARSE" />
<project groups="mathlibs" name="hipSPARSELt" />
<project groups="mathlibs" name="hipTensor" />
<project groups="mathlibs" name="hipfort" />
<project groups="mathlibs" name="rccl" />
<project groups="mathlibs" name="rocAL" />
<project groups="mathlibs" name="rocALUTION" />
<project groups="mathlibs" name="rocBLAS" />
<project groups="mathlibs" name="rocDecode" />
<project groups="mathlibs" name="rocJPEG" />
<project groups="mathlibs" name="rocPyDecode" />
<project groups="mathlibs" name="rocFFT" />
<project groups="mathlibs" name="rocPRIM" />
<project groups="mathlibs" name="rocRAND" />
<project groups="mathlibs" name="rocSHMEM" />
<project groups="mathlibs" name="rocSOLVER" />
<project groups="mathlibs" name="rocSPARSE" />
<project groups="mathlibs" name="rocThrust" />
<project groups="mathlibs" name="rocWMMA" />
<project groups="mathlibs" name="rocm-cmake" />
<project groups="mathlibs" name="rpp" />
<project groups="mathlibs" name="TransferBench" />
<!-- Projects for OpenMP-Extras -->
<project name="aomp" path="openmp-extras/aomp" />
<project name="aomp-extras" path="openmp-extras/aomp-extras" />
<project name="flang" path="openmp-extras/flang" />
</manifest>