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15 Commits

Author SHA1 Message Date
Matt Williams
9786a75390 Update license 2025-07-31 10:33:36 -04:00
Matt Williams
95543cae2a Final edits 2025-07-30 14:43:52 -04:00
Matt Williams
1cf3eef9da AQLProfile component additions 2025-07-28 14:39:39 -04:00
yugang-amd
cc5bc5a882 Add SGLang inference benchmark doc w/ initial support for DeepSeek-R1-Distill-Qwen-32B (#4870) 2025-07-25 12:42:40 -04:00
Daniel Su
2c9c3d0ba1 [Ex CI] switch hipBLAS/SPARSE pipeline IDs to monorepo (#5098) 2025-07-24 16:53:29 -04:00
Peter Park
14249f24d8 Use madengine instead of tools/run_models.py in docs (#5095) 2025-07-24 15:38:12 -04:00
Daniel Su
0e8045cca7 [Ex CI] enable hipBLAS monorepo (#5090) 2025-07-24 12:37:34 -04:00
Daniel Su
541fe92947 [Ex CI] update to 6.4.2 (#5087) 2025-07-23 14:10:40 -04:00
Daniel Su
628d5f8a19 [Ex CI] create Docker images for nightly builds (#5005) 2025-07-23 12:16:11 -04:00
Peter Park
984a91f008 Add DeepSeek Janus Pro 7B to PyTorch inference benchmark doc (#5071)
---------

Co-authored-by: yugang-amd <yugang.wang@amd.com>
2025-07-22 16:26:06 -04:00
amd-hsivasun
ae2cc6ab38 [EX CI] ROCR-Runtime: migrate from rocm-smi to amd-smi (#5088)
* Update ROCR-Runtime.yml

Migrate from rocmsmi to amdsmi

* Update ROCR-Runtime.yml

Removed libhwloc.so.5 install

* Update ROCR-Runtime.yml

Link to hwloc.so.5

* Update ROCR-Runtime.yml

Added link in the rocrtst step

* Update ROCR-Runtime.yml
2025-07-22 14:17:53 -04:00
Peter Park
15ee605d18 Fix branches for install docs in _toc.yml.in (#5083) 2025-07-22 11:03:40 -04:00
anisha-amd
ae54add299 Sphinx warning for ROCm fixed (#5077) (#5082)
* Sphinx warning for DGL fixed

* Update dgl-compatibility.rst

removed benchmark line and updated link

---------

Co-authored-by: Pratik Basyal <prbasyal@amd.com>
2025-07-22 10:51:15 -04:00
Peter Park
2269e9d25d Remove broken link to deprecated AMDGPU installer documentation (#5078)
* remove link to deprecated AMDGPU installation method

* add deep learning frameworks
2025-07-21 19:36:20 -04:00
alexxu-amd
1b0b9f5a67 update xml for 6.4.2 (#5075) 2025-07-21 17:22:12 -04:00
27 changed files with 602 additions and 443 deletions

View File

@@ -28,8 +28,8 @@ parameters:
- name: rocmTestDependencies
type: object
default:
- amdsmi
- llvm-project
- rocm_smi_lib
- rocprofiler-register
- name: jobMatrix
@@ -111,14 +111,6 @@ 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:
@@ -161,6 +153,10 @@ 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

@@ -1,10 +1,29 @@
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
@@ -69,10 +88,30 @@ 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:
- ${{ each job in parameters.jobMatrix.buildJobs }}:
- job: hipBLAS_build_${{ job.target }}
- job: ${{ parameters.componentName }}_build_${{ job.target }}
${{ if parameters.buildDependsOn }}:
dependsOn:
- ${{ each build in parameters.buildDependsOn }}:
- ${{ build }}_ubuntu2204_${{ job.target }}
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -88,6 +127,7 @@ 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:
@@ -95,6 +135,8 @@ 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: >-
@@ -109,9 +151,12 @@ 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
@@ -121,46 +166,67 @@ jobs:
installAOCL: true
gpuTarget: ${{ job.target }}
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: hipBLAS_test_${{ 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 }}
- ${{ if eq(parameters.unifiedBuild, False) }}:
- ${{ each job in parameters.jobMatrix.testJobs }}:
- job: ${{ parameters.componentName }}_test_${{ job.target }}
dependsOn: ${{ parameters.componentName }}_build_${{ job.target }}
condition:
and(succeeded(),
eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
eq(${{ 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 }}

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

@@ -83,6 +83,28 @@ 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 }}:
@@ -228,3 +250,19 @@ 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

@@ -3,21 +3,21 @@ parameters:
- name: jobList
type: object
default:
- { 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 }
- { 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 }
- name: rocmDependencies
type: object
default:
@@ -92,7 +92,8 @@ schedules:
jobs:
- ${{ each job in parameters.jobList }}:
- job: rocm_nightly_${{ job.os }}_${{ job.target }}_${{ job.source }}
- job: nightly_${{ job.os }}_${{ job.target }}_${{ job.source }}
timeoutInMinutes: 90
variables:
- group: common
- template: /.azuredevops/variables-global.yml
@@ -131,7 +132,7 @@ jobs:
includeRootFolder: false
archiveType: tar
tarCompression: gz
archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.DefinitionName)_$(Build.BuildNumber)_ubuntu2204_${{ job.target }}.tar.gz
archiveFile: $(Build.ArtifactStagingDirectory)/$(Build.DefinitionName)_$(Build.BuildNumber)_${{ job.os }}_${{ job.target }}.tar.gz
- script: du -sh $(Build.ArtifactStagingDirectory)
displayName: Compressed ROCm size
- task: PublishPipelineArtifact@1
@@ -144,5 +145,95 @@ jobs:
inputs:
workingDirectory: $(Pipeline.Workspace)
targetType: inline
script: echo "$(Build.DefinitionName)_$(Build.BuildNumber)_ubuntu2204_${{ job.target }}.tar.gz" >> pipelineArtifacts.txt
script: echo "$(Build.DefinitionName)_$(Build.BuildNumber)_${{ job.os }}_${{ 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

@@ -32,13 +32,13 @@ variables:
- name: GFX90A_TEST_POOL
value: gfx90a_test_pool
- name: LATEST_RELEASE_VERSION
value: 6.4.1
value: 6.4.2
- name: REPO_RADEON_VERSION
value: 6.4.1
value: 6.4.2
- name: NEXT_RELEASE_VERSION
value: 7.0.0
- name: LATEST_RELEASE_TAG
value: rocm-6.4.1
value: rocm-6.4.2
- 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: 87
value: 317
- 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: 83
value: 315
- 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, pdf]
formats: [htmlzip]
python:
install:

View File

@@ -45,7 +45,6 @@ Bootloader
CAS
CCD
CDNA
CGUI
CHTML
CIFAR
CLI
@@ -116,7 +115,6 @@ DevCap
DirectX
Dockerfile
Doxygen
dropless
ELMo
ENDPGM
EPYC
@@ -272,7 +270,6 @@ Makefiles
Matplotlib
Matrox
MaxText
Megablocks
Megatrends
Megatron
Mellanox
@@ -282,7 +279,6 @@ Miniconda
MirroredStrategy
Mixtral
MosaicML
MoEs
Mpops
Multicore
Multithreaded
@@ -457,8 +453,6 @@ TPS
TPU
TPUs
TSME
Taichi
Taichi's
Tagram
TensileLite
TensorBoard

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

View File

@@ -29,6 +29,7 @@ additional licenses. Please review individual repositories for more information.
| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/amd-staging/LICENSE) |
| [aomp](https://github.com/ROCm/aomp/) | [Apache 2.0](https://github.com/ROCm/aomp/blob/aomp-dev/LICENSE) |
| [aomp-extras](https://github.com/ROCm/aomp-extras/) | [MIT](https://github.com/ROCm/aomp-extras/blob/aomp-dev/LICENSE) |
| [AQLprofile] | [MIT](https://github.com/ROCm/aqlprofile/blob/amd-staging/LICENSE) |
| [Code Object Manager (Comgr)](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/comgr) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/comgr/LICENSE.txt) |
| [Composable Kernel](https://github.com/ROCm/composable_kernel) | [MIT](https://github.com/ROCm/composable_kernel/blob/develop/LICENSE) |
| [half](https://github.com/ROCm/half/) | [MIT](https://github.com/ROCm/half/blob/rocm/LICENSE.txt) |
@@ -46,7 +47,6 @@ additional licenses. Please review individual repositories for more information.
| [hipSPARSE](https://github.com/ROCm/hipSPARSE/) | [MIT](https://github.com/ROCm/hipSPARSE/blob/develop/LICENSE.md) |
| [hipSPARSELt](https://github.com/ROCm/hipSPARSELt/) | [MIT](https://github.com/ROCm/hipSPARSELt/blob/develop/LICENSE.md) |
| [hipTensor](https://github.com/ROCm/hipTensor) | [MIT](https://github.com/ROCm/hipTensor/blob/develop/LICENSE) |
| hsa-amd-aqlprofile | [AMD Software EULA](https://www.amd.com/en/legal/eula/amd-software-eula.html) |
| [llvm-project](https://github.com/ROCm/llvm-project/) | [Apache](https://github.com/ROCm/llvm-project/blob/amd-staging/LICENSE.TXT) |
| [llvm-project/flang](https://github.com/ROCm/llvm-project/tree/amd-staging/flang) | [Apache 2.0](https://github.com/ROCm/llvm-project/blob/amd-staging/flang/LICENSE.TXT) |
| [MIGraphX](https://github.com/ROCm/AMDMIGraphX/) | [MIT](https://github.com/ROCm/AMDMIGraphX/blob/develop/LICENSE) |
@@ -132,12 +132,10 @@ companies.
### Package licensing
:::{attention}
AQL Profiler and AOCC CPU optimization are both provided in binary form, each
subject to the license agreement enclosed in the directory for the binary available
in `/opt/rocm/share/doc/hsa-amd-aqlprofile/EULA`. By using, installing,
copying or distributing AQL Profiler and/or AOCC CPU Optimizations, you agree to
ROCprof Trace Decoder and AOCC CPU optimizations are provided in binary form, subject to the license agreement enclosed on [GitHub](https://github.com/ROCm/rocprof-trace-decoder/blob/amd-mainline/LICENSE) for ROCprof Trace Decoder, and [Developer Central](https://www.amd.com/en/developer/aocc.html) for AOCC. By using, installing,
copying or distributing ROCprof Trace Decoder or AOCC CPU Optimizations, you agree to
the terms and conditions of this license agreement. If you do not agree to the
terms of this agreement, do not install, copy or use the AQL Profiler and/or the
terms of this agreement, do not install, copy or use ROCprof Trace Decoder or the
AOCC CPU Optimizations.
:::

View File

@@ -30,11 +30,9 @@ 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:`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
:doc:`Taichi <../compatibility/ml-compatibility/taichi-compatibility>` [#taichi_compat]_,N/A,N/A,N/A,N/A,1.8.0b1,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
: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
`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:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_ :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` N/A N/A N/A N/A N/A N/A 85f95ae N/A N/A N/A N/A 0.3.0.post0 N/A N/A N/A N/A N/A N/A
34 :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat]_ :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` N/A 2.4.0 N/A 2.4.0 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
35 :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat]_ :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat]_ N/A N/A 2.4.0 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:`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
:doc:`Taichi <../compatibility/ml-compatibility/taichi-compatibility>` [#taichi_compat]_ N/A N/A N/A N/A 1.8.0b1 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
36 `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
37
38

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:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>`,N/A,N/A,0.7.0
:doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>`,2.4.0,2.4.0,N/A
`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:,,
@@ -241,10 +241,6 @@ 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.
.. [#taichi_compat] Taichi is only supported on ROCm 6.3.2.
.. [#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 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`_. Click the |docker-icon|
`ROCm 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`_. 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/rocm6.4.2-jax0.4.35-py3.12/images/sha256-8918fa806a172c1a10eb2f57131eb31b5d7c8fa1656b8729fe7d3d736112de83"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
<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>
- `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/rocm6.4.2-jax0.4.35-py3.10/images/sha256-a394be13c67b7fc602216abee51233afd4b6cb7adaa57ca97e688fba82f9ad79"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
<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>
- `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
- Ubuntu 22.04

View File

@@ -1,93 +0,0 @@
: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 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__.
inventories were tested on `ROCm 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__.
Click |docker-icon| to view the image on Docker Hub.
.. list-table:: PyTorch Docker image components
@@ -112,118 +112,127 @@ 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/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.6.0/images/sha256-6a287591500b4048a9556c1ecc92bc411fd3d552f6c8233bc399f18eb803e8d6"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
- 24.04
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12.10 <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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `master <https://bitbucket.org/icl/magma/src/master/>`__
- `1.16.0+ds-5ubuntu1 <https://github.com/openucx/ucx/tree/v1.16.0>`__
- `1.16.0 <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/rocm6.4.2_ubuntu22.04_py3.10_pytorch_release_2.6.0/images/sha256-06b967629ba6657709f04169832cd769a11e6b491e8b1394c361d42d7a0c8b43"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
- 22.04
- `3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `3.10.17 <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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `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/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.5.1/images/sha256-62022414217ef6de33ac5b1341e57db8a48e8573fa2ace12d48aa5edd4b99ef0"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`__
- 24.04
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12.10 <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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `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/rocm6.4.2_ubuntu22.04_py3.11_pytorch_release_2.5.1/images/sha256-469a7f74fc149aff31797e011ee41978f6a190adc69fa423b3c6a718a77bd985"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`__
- 22.04
- `3.11 <https://www.python.org/downloads/release/python-31113/>`__
- `3.10.17 <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>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `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/rocm6.4.2_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>
<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>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`__
- 24.04
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12.10 <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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `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/rocm6.4.2_ubuntu22.04_py3.10_pytorch_release_2.4.1/images/sha256-fe944fe083312f901be6891ab4d3ffebf2eaf2cf4f5f0f435ef0b76ec714fabd"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`__
- 22.04
- `3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `3.10.17 <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>`__
- `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
- `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`__
- `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/rocm6.4.2_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-1d59251c47170c5b8960d1172a4dbe52f5793d8966edd778f168eaf32d56661a"><i class="fab fa-docker fa-lg"></i></a>
<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>
- `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`__
- 24.04
- `3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `3.12.10 <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

@@ -1,76 +0,0 @@
:orphan:
.. meta::
:description: Taichi compatibility
:keywords: GPU, Taichi compatibility
.. version-set:: rocm_version latest
*******************************************************************************
Taichi compatibility
*******************************************************************************
`Taichi <https://www.taichi-lang.org/>`_ is an open-source, imperative, and parallel
programming language designed for high-performance numerical computation.
Embedded in Python, it leverages just-in-time (JIT) compilation frameworks such as LLVM to accelerate
compute-intensive Python code by compiling it to native GPU or CPU instructions.
Taichi is widely used across various domains, including real-time physical simulation,
numerical computing, augmented reality, artificial intelligence, computer vision, robotics,
visual effects in film and gaming, and general-purpose computing.
* ROCm support for Taichi is hosted in the official `https://github.com/ROCm/taichi <https://github.com/ROCm/taichi>`_ repository.
* Due to independent compatibility considerations, this location differs from the `https://github.com/taichi-dev <https://github.com/taichi-dev>`_ upstream repository.
* Use the prebuilt :ref:`Docker image <taichi-docker-compat>` with ROCm, PyTorch, and Taichi preinstalled.
* See the :doc:`ROCm Taichi installation guide <rocm-install-on-linux:install/3rd-party/taichi-install>` to install and get started.
.. note::
Taichi is supported on ROCm 6.3.2.
Supported devices and features
===============================================================================
There is support through the ROCm software stack for all Taichi GPU features on AMD Instinct MI250X and MI210X series GPUs with the exception of Taichis GPU rendering system, CGUI.
AMD Instinct MI300X series GPUs will be supported by November.
.. _taichi-recommendations:
Use cases and recommendations
================================================================================
To fully leverage Taichi's performance capabilities in compute-intensive tasks, it is best to adhere to specific coding patterns and utilize Taichi decorators.
A collection of example use cases is available in the `https://github.com/ROCm/taichi_examples <https://github.com/ROCm/taichi_examples>`_ repository,
providing practical insights and foundational knowledge for working with the Taichi programming language.
You can also refer to the `AMD ROCm blog <https://rocm.blogs.amd.com/>`_ to search for Taichi examples and best practices to optimize your workflows on AMD GPUs.
.. _taichi-docker-compat:
Docker image compatibility
================================================================================
.. |docker-icon| raw:: html
<i class="fab fa-docker"></i>
AMD validates and publishes ready-made `ROCm Taichi Docker images <https://hub.docker.com/r/rocm/taichi/tags>`_
with ROCm backends on Docker Hub. The following Docker image tags and associated inventories
represent the latest Taichi version from the official Docker Hub.
The Docker images have been validated for `ROCm 6.3.2 <https://rocm.docs.amd.com/en/docs-6.3.2/about/release-notes.html>`_.
Click |docker-icon| to view the image on Docker Hub.
.. list-table::
:header-rows: 1
:class: docker-image-compatibility
* - Docker image
- ROCm
- Taichi
- Ubuntu
- Python
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/taichi/taichi-1.8.0b1_rocm6.3.2_ubuntu22.04_py3.10.12/images/sha256-e016964a751e6a92199032d23e70fa3a564fff8555afe85cd718f8aa63f11fc6"><i class="fab fa-docker fa-lg"></i> rocm/taichi</a>
- `6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_
- `1.8.0b1 <https://github.com/taichi-dev/taichi>`_
- 22.04
- `3.10.12 <https://www.python.org/downloads/release/python-31012/>`_

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 6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__. Click
validated for `ROCm 6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__. Click
the |docker-icon| icon to view the image on Docker Hub.
.. list-table:: TensorFlow Docker image components
@@ -65,61 +65,128 @@ 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/rocm6.4.2-py3.12-tf2.18-dev/images/sha256-96754ce2d30f729e19b497279915b5212ba33d5e408e7e5dd3f2304d87e3441e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-dev/images/sha256-fa9cf5fa6c6079a7118727531ccd0056c6e3224a42c3d6e78a49e7781daafff4"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
- `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
- 24.04
- `Python 3.12 <https://www.python.org/downloads/release/python-31210/>`__
- `Python 3.12.10 <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/rocm6.4.2-py3.10-tf2.18-dev/images/sha256-fa741508d383858e86985a9efac85174529127408102558ae2e3a4ac894eea1e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<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>
- `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/>`__
- `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/>`__
- `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`__
* - .. raw:: html
<a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4.2-py3.12-tf2.17-dev/images/sha256-3a0aef09f2a8833c2b64b85874dd9449ffc2ad257351857338ff5b706c03a418"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<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>
- `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 <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/rocm6.4.2-py3.10-tf2.17-dev/images/sha256-bc7341a41ebe7ab261aa100732874507c452421ef733e408ac4f05ed453b0bc5"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
- `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4.2/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
- `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 <https://www.python.org/downloads/release/python-31017/>`__
- `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
- 24.04
- `Python 3.12.10 <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/rocm6.4.2-py3.12-tf2.16-dev/images/sha256-4841a8df7c340dab79bf9362dad687797649a00d594e0832eb83ea6880a40d3b"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<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>
- `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>`__
- `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 <https://www.python.org/downloads/release/python-31210/>`__
- `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
- 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-py3.10-tf2.17-runtime/images/sha256-5d78bd5918d394f92263daa2990e88d695d27200dd90ed83ec64d20c7661c9c1"><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
- 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/rocm6.4.2-py3.10-tf2.16-dev/images/sha256-883fa95aba960c58a3e46fceaa18f03ede2c7df89b8e9fd603ab2d47e0852897"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
<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>
- `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>`__
- `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
- 22.04
- `Python 3.10 <https://www.python.org/downloads/release/python-31017/>`__
- `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/>`__
- `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__

View File

@@ -16,25 +16,56 @@ 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 install and get started.
* See the :doc:`ROCm verl installation guide <rocm-install-on-linux:install/3rd-party/verl-install>` to 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 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.
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>`_
.. _verl-supported_features:
Supported features
===============================================================================
The following table shows verl on ROCm support for GPU-accelerated modules.
The following table shows verl and ROCm support for GPU-accelerated modules.
.. list-table::
:header-rows: 1
@@ -46,41 +77,9 @@ The following table shows verl on ROCm support for GPU-accelerated modules.
* - ``FSDP``
- Training engine
- 0.3.0.post0
- 6.2.0
- 6.2
* - ``vllm``
- Inference engine
- 0.3.0.post0
- 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>`_
- 6.2

View File

@@ -96,11 +96,6 @@ 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": "compatibility/ml-compatibility/taichi-compatibility", "os": ["linux"]},
{"file": "how-to/deep-learning-rocm", "os": ["linux"]},
{"file": "how-to/rocm-for-ai/index", "os": ["linux"]},

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@@ -20,8 +20,6 @@ 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>`
* :doc:`Taichi compatibility <../compatibility/ml-compatibility/taichi-compatibility>`
This chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
@@ -37,8 +35,6 @@ 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>`
* :doc:`Taichi for ROCm <rocm-install-on-linux:install/3rd-party/taichi-install>`
.. note::

View File

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

View File

@@ -1,4 +1,4 @@
rocm-docs-core==1.23.0
rocm-docs-core==1.20.1
sphinx-reredirects
sphinx-sitemap
sphinxcontrib.datatemplates==0.11.0
sphinxcontrib.datatemplates==0.11.0

View File

@@ -2,7 +2,7 @@
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile /mnt/nonstandard/ROCm/requirements.in
# pip-compile requirements.in
#
accessible-pygments==0.0.5
# via pydata-sphinx-theme
@@ -19,32 +19,34 @@ babel==2.17.0
# via
# pydata-sphinx-theme
# sphinx
beautifulsoup4==4.13.5
beautifulsoup4==4.13.4
# via pydata-sphinx-theme
breathe==4.36.0
# via rocm-docs-core
certifi==2025.8.3
certifi==2025.4.26
# via requests
cffi==2.0.0
cffi==1.17.1
# via
# cryptography
# pynacl
charset-normalizer==3.4.3
charset-normalizer==3.4.2
# via requests
click==8.2.1
# via
# jupyter-cache
# sphinx-external-toc
comm==0.2.3
comm==0.2.2
# via ipykernel
cryptography==45.0.7
cryptography==45.0.3
# via pyjwt
debugpy==1.8.16
debugpy==1.8.14
# 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
@@ -52,17 +54,17 @@ docutils==0.21.2
# sphinx
exceptiongroup==1.3.0
# via ipython
executing==2.2.1
executing==2.2.0
# via stack-data
fastjsonschema==2.21.2
fastjsonschema==2.21.1
# via
# nbformat
# rocm-docs-core
gitdb==4.0.12
# via gitpython
gitpython==3.1.45
gitpython==3.1.44
# via rocm-docs-core
greenlet==3.2.4
greenlet==3.2.3
# via sqlalchemy
idna==3.10
# via requests
@@ -72,7 +74,7 @@ importlib-metadata==8.7.0
# via
# jupyter-cache
# myst-nb
ipykernel==6.30.1
ipykernel==6.29.5
# via myst-nb
ipython==8.37.0
# via
@@ -84,9 +86,9 @@ jinja2==3.1.6
# via
# myst-parser
# sphinx
jsonschema==4.25.1
jsonschema==4.24.0
# via nbformat
jsonschema-specifications==2025.9.1
jsonschema-specifications==2025.4.1
# via jsonschema
jupyter-cache==1.0.1
# via myst-nb
@@ -110,11 +112,11 @@ matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdit-py-plugins==0.5.0
mdit-py-plugins==0.4.2
# via myst-parser
mdurl==0.1.2
# via markdown-it-py
myst-nb==1.3.0
myst-nb==1.2.0
# via rocm-docs-core
myst-parser==4.0.1
# via myst-nb
@@ -132,14 +134,15 @@ nest-asyncio==1.6.0
packaging==25.0
# via
# ipykernel
# pydata-sphinx-theme
# sphinx
parso==0.8.5
parso==0.8.4
# via jedi
pexpect==4.9.0
# via ipython
platformdirs==4.4.0
platformdirs==4.3.8
# via jupyter-core
prompt-toolkit==3.0.52
prompt-toolkit==3.0.51
# via ipython
psutil==7.0.0
# via ipykernel
@@ -147,15 +150,15 @@ ptyprocess==0.7.0
# via pexpect
pure-eval==0.2.3
# via stack-data
pycparser==2.23
pycparser==2.22
# via cffi
pydata-sphinx-theme==0.16.1
pydata-sphinx-theme==0.15.4
# via
# rocm-docs-core
# sphinx-book-theme
pygithub==2.8.1
pygithub==2.6.1
# via rocm-docs-core
pygments==2.19.2
pygments==2.19.1
# via
# accessible-pygments
# ipython
@@ -163,7 +166,7 @@ pygments==2.19.2
# sphinx
pyjwt[crypto]==2.10.1
# via pygithub
pynacl==1.6.0
pynacl==1.5.0
# via pygithub
python-dateutil==2.9.0.post0
# via jupyter-client
@@ -175,7 +178,7 @@ pyyaml==6.0.2
# rocm-docs-core
# sphinx-external-toc
# sphinxcontrib-datatemplates
pyzmq==27.1.0
pyzmq==26.4.0
# via
# ipykernel
# jupyter-client
@@ -183,13 +186,13 @@ referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
requests==2.32.5
requests==2.32.4
# via
# pygithub
# sphinx
rocm-docs-core==1.23.0
# via -r /mnt/nonstandard/ROCm/requirements.in
rpds-py==0.27.1
rocm-docs-core==1.20.1
# via -r requirements.in
rpds-py==0.25.1
# via
# jsonschema
# referencing
@@ -199,7 +202,7 @@ smmap==5.0.2
# via gitdb
snowballstemmer==3.0.1
# via sphinx
soupsieve==2.8
soupsieve==2.7
# via beautifulsoup4
sphinx==8.1.3
# via
@@ -217,7 +220,7 @@ sphinx==8.1.3
# sphinx-reredirects
# sphinxcontrib-datatemplates
# sphinxcontrib-runcmd
sphinx-book-theme==1.1.3
sphinx-book-theme==1.1.4
# via rocm-docs-core
sphinx-copybutton==0.5.2
# via rocm-docs-core
@@ -230,13 +233,13 @@ sphinx-last-updated-by-git==0.3.8
sphinx-notfound-page==1.1.0
# via rocm-docs-core
sphinx-reredirects==0.1.6
# via -r /mnt/nonstandard/ROCm/requirements.in
sphinx-sitemap==2.8.0
# via -r /mnt/nonstandard/ROCm/requirements.in
# via -r requirements.in
sphinx-sitemap==2.7.2
# via -r requirements.in
sphinxcontrib-applehelp==2.0.0
# via sphinx
sphinxcontrib-datatemplates==0.11.0
# via -r /mnt/nonstandard/ROCm/requirements.in
# via -r requirements.in
sphinxcontrib-devhelp==2.0.0
# via sphinx
sphinxcontrib-htmlhelp==2.1.0
@@ -249,7 +252,7 @@ sphinxcontrib-runcmd==0.2.0
# via sphinxcontrib-datatemplates
sphinxcontrib-serializinghtml==2.0.0
# via sphinx
sqlalchemy==2.0.43
sqlalchemy==2.0.41
# via jupyter-cache
stack-data==0.6.3
# via ipython
@@ -257,12 +260,13 @@ tabulate==0.9.0
# via jupyter-cache
tomli==2.2.1
# via sphinx
tornado==6.5.2
tornado==6.5.1
# via
# ipykernel
# jupyter-client
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# jupyter-client
@@ -270,7 +274,7 @@ traitlets==5.14.3
# matplotlib-inline
# nbclient
# nbformat
typing-extensions==4.15.0
typing-extensions==4.14.0
# via
# beautifulsoup4
# exceptiongroup
@@ -286,5 +290,7 @@ urllib3==2.5.0
# requests
wcwidth==0.2.13
# via prompt-toolkit
wrapt==1.17.2
# via deprecated
zipp==3.23.0
# via importlib-metadata
# 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-6.4.1"
<default revision="refs/tags/rocm-6.4.2"
remote="rocm-org"
sync-c="true"
sync-j="4" />

View File

@@ -0,0 +1,79 @@
<?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>