Taichi removed (#5801)

(cherry picked from commit 2fe270beb3)

.azuredevops/components/HIP.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: hip_clr_combined
 - 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
@@ -54,24 +35,93 @@ parameters:
   type: object
   default:
     - llvm-project
-    - ROCR-Runtime
+
+# hip and clr are tightly-coupled
+# run this same template for both repos
+# any changes for clr should just trigger HIP pipeline
+# similarly for hipother repo, for Nvidia backend
 
 - name: jobMatrix
   type: object
   default:
     buildJobs:
-      - { os: ubuntu2204, packageManager: apt, platform: amd }
-      - { os: ubuntu2204, packageManager: apt, platform: nvidia }
-      - { os: almalinux8, packageManager: dnf, platform: amd }
-      - { os: almalinux8, packageManager: dnf, platform: nvidia }
+      - { os: ubuntu2204, packageManager: apt }
+      - { os: almalinux8, packageManager: dnf }
 
+# HIP with AMD backend
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: ${{ parameters.componentName }}_${{ job.os }}_${{ job.platform }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
+  - job: hip_clr_combined_${{ job.os }}_amd
+    pool:
+      vmImage: 'ubuntu-22.04'
+    ${{ if eq(job.os, 'almalinux8') }}:
+      container:
+        image: rocmexternalcicd.azurecr.io/manylinux228:latest
+        endpoint: ContainerService3
+    variables:
+    - group: common
+    - template: /.azuredevops/variables-global.yml
+    workspace:
+      clean: all
+    steps:
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        packageManager: ${{ job.packageManager }}
+  # checkout triggering repo (either HIP or clr)
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: ${{ parameters.checkoutRepo }}
+  # if this is triggered by HIP repo, matching repo is clr
+  # if this is triggered by clr repo, matching repo is HIP
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: matching_repo
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: hipother_repo
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmDependenciesAMD }}
+        aggregatePipeline: ${{ parameters.aggregatePipeline }}
+        os: ${{ job.os }}
+  # compile clr
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+      parameters:
+        componentName: clr
+        cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
+        cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
+        os: ${{ job.os }}
+        useAmdclang: false
+        extraBuildFlags: >-
+          -DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
+          -DHIP_PLATFORM=amd
+          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
+          -DROCM_PATH=$(Agent.BuildDirectory)/rocm
+          -DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
+          -DCLR_BUILD_HIP=ON
+          -DCLR_BUILD_OCL=ON
+          -GNinja
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
+      parameters:
+        artifactName: amd
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
+      parameters:
+        artifactName: amd
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
+    # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+    #   parameters:
+    #     aptPackages: ${{ parameters.aptPackages }}
+    #     pipModules: ${{ parameters.pipModules }}
+    #     environment: amd
+
+# HIP with Nvidia backend
+- ${{ each job in parameters.jobMatrix.buildJobs }}:
+  - job: hip_clr_combined_${{ job.os }}_nvidia
     pool:
       vmImage: 'ubuntu-22.04'
     ${{ if eq(job.os, 'almalinux8') }}:
@@ -90,45 +140,49 @@ jobs:
         pipModules: ${{ parameters.pipModules }}
         packageManager: ${{ job.packageManager }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    # full checkout of rocm-systems superrepo, we need clr, hip, and hipother
+  # checkout triggering repo (either HIP or clr)
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        # sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
+  # if this is triggered by HIP repo, matching repo is clr
+  # if this is triggered by clr repo, matching repo is HIP
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: matching_repo
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: hipother_repo
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmDependenciesNvidia }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
         os: ${{ job.os }}
-        ${{ if eq(job.platform, 'amd') }}:
-          dependencyList: ${{ parameters.rocmDependenciesAMD }}
-        ${{ elseif eq(job.platform, 'nvidia') }}:
-          dependencyList: ${{ parameters.rocmDependenciesNvidia }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
+    - script: 'ls -1R $(Agent.BuildDirectory)/rocm'
+      displayName: 'Artifact listing'
+  # compile clr
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         componentName: clr
-        cmakeBuildDir: $(Agent.BuildDirectory)/s/projects/clr/build
-        cmakeSourceDir: $(Agent.BuildDirectory)/s/projects/clr
+        cmakeBuildDir: '$(Build.SourcesDirectory)/clr/build'
+        cmakeSourceDir: '$(Build.SourcesDirectory)/clr'
         os: ${{ job.os }}
         useAmdclang: false
         extraBuildFlags: >-
-          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-          -DROCM_PATH=$(Agent.BuildDirectory)/rocm
+          -DHIP_COMMON_DIR=$(Build.SourcesDirectory)/HIP
+          -DHIP_PLATFORM=nvidia
           -DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
-          -DHIP_COMMON_DIR=$(Agent.BuildDirectory)/s/projects/hip
-          -DHIPNV_DIR=$(Agent.BuildDirectory)/s/projects/hipother/hipnv
-          -DHIP_PLATFORM=${{ job.platform }}
           -DCLR_BUILD_HIP=ON
-          -DCLR_BUILD_OCL=ON
+          -DCLR_BUILD_OCL=OFF
+          -DHIPNV_DIR=$(Build.SourcesDirectory)/hipother/hipnv
           -GNinja
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-      parameters:
-        artifactName: ${{ job.platform }}
-        os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        artifactName: ${{ job.platform }}
+        artifactName: nvidia
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
+    # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+    #   parameters:
+    #     aptPackages: ${{ parameters.aptPackages }}
+    #     pipModules: ${{ parameters.pipModules }}
+    #     environment: nvidia

.azuredevops/components/MIOpen.yml

@@ -123,7 +123,7 @@ jobs:
     - template: /.azuredevops/variables-global.yml
     - name: ROCM_PATH
       value: $(Agent.BuildDirectory)/rocm
-    pool: ${{ variables.MEDIUM_BUILD_POOL }}
+    pool: ${{ variables.HIGH_BUILD_POOL }}
     workspace:
       clean: all
     steps:
@@ -131,7 +131,6 @@ jobs:
       parameters:
         aptPackages: ${{ parameters.aptPackages }}
         pipModules: ${{ parameters.pipModules }}
-    - 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:
@@ -150,7 +149,6 @@ jobs:
           downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - task: Bash@3
       displayName: Build and install other dependencies
-      retryCountOnTaskFailure: 3
       inputs:
         targetType: inline
         workingDirectory: $(Agent.BuildDirectory)/s
@@ -212,7 +210,6 @@ jobs:
       parameters:
         aptPackages: ${{ parameters.aptPackages }}
         pipModules: ${{ parameters.pipModules }}
-    - 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:
@@ -231,7 +228,6 @@ jobs:
           downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - task: Bash@3
       displayName: Build and install other dependencies
-      retryCountOnTaskFailure: 3
       inputs:
         targetType: inline
         workingDirectory: $(Agent.BuildDirectory)/s

.azuredevops/components/ROCR-Runtime.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: ROCR-Runtime
 - name: checkoutRepo
   type: string
   default: 'self'
 - name: checkoutRef
   type: string
   default: ''
-# monorepo related parameters
-- name: sparseCheckoutDir
-  type: string
-  default: ''
-- name: triggerDownstreamJobs
-  type: boolean
-  default: false
-- name: downstreamAggregateNames
-  type: string
-  default: ''
-- name: buildDependsOn
-  type: object
-  default: null
-- name: unifiedBuild
-  type: boolean
-  default: false
 # set to true if doing full build of ROCm stack
 # and dependencies are pulled from same pipeline
 - name: aggregatePipeline
@@ -64,10 +45,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: ROCR_Runtime_build_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
     pool:
       vmImage: 'ubuntu-22.04'
     ${{ if eq(job.os, 'almalinux8') }}:
@@ -88,18 +65,14 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
         dependencyList: ${{ parameters.rocmDependencies }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
         os: ${{ job.os }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
         useAmdclang: false
         extraBuildFlags: >-
@@ -109,112 +82,105 @@ jobs:
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
     # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
     #   parameters:
     #     aptPackages: ${{ parameters.aptPackages }}
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: ROCR_Runtime_test_${{ job.os }}_${{ job.target }}
-      dependsOn: ROCR_Runtime_build_${{ job.os }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          packageManager: ${{ job.packageManager }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmTestDependencies }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-        parameters:
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-          sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-        parameters:
-          runRocminfo: false
-      - task: Bash@3
-        displayName: Build kfdtest
-        inputs:
-          targetType: 'inline'
-          workingDirectory: $(Agent.BuildDirectory)/s/libhsakmt/tests/kfdtest
-          script: |
-            if [ -e /opt/rh/gcc-toolset-14/enable ]; then
-              source /opt/rh/gcc-toolset-14/enable
-            fi
-            mkdir build && cd build
-            cmake -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm ..
-            make
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: kfdtest
-          testExecutable: BIN_DIR=$(Agent.BuildDirectory)/s/libhsakmt/tests/kfdtest/build ./run_kfdtest.sh
-          testParameters: '-p core --gtest_output=xml:./test_output.xml --gtest_color=yes'
-          testDir: $(Agent.BuildDirectory)/s/libhsakmt/tests/kfdtest/scripts
-          os: ${{ job.os }}
-      - task: Bash@3
-        displayName: Build rocrtst
-        inputs:
-          targetType: 'inline'
-          workingDirectory: $(Agent.BuildDirectory)/s/rocrtst/suites/test_common
-          script: |
-            echo $(Agent.BuildDirectory)/s/rocrtst/thirdparty/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
-            sudo cat /etc/ld.so.conf.d/rocm-ci.conf
-            sudo ldconfig -v
-            ldconfig -p
-            if [ -e /opt/rh/gcc-toolset-14/enable ]; then
-              source /opt/rh/gcc-toolset-14/enable
-            fi
-            BASE_CLANG_DIR=$(Agent.BuildDirectory)/rocm/llvm/lib/clang
-            export NEWEST_CLANG_VER=$(ls -1 $BASE_CLANG_DIR | sort -V | tail -n 1)
-            mkdir build && cd build
-            cmake .. \
-              -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm \
-              -DTARGET_DEVICES=${{ job.target }} \
-              -DROCM_DIR=$(Agent.BuildDirectory)/rocm \
-              -DLLVM_DIR=$(Agent.BuildDirectory)/rocm/llvm/bin \
-              -DOPENCL_INC_DIR=$BASE_CLANG_DIR/$NEWEST_CLANG_VER/include
-            make
-            make rocrtst_kernels
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: rocrtst
-          testExecutable: ./rocrtst64
-          testParameters: '--gtest_filter="-rocrtstNeg.Memory_Negative_Tests:rocrtstFunc.Memory_Max_Mem" --gtest_output=xml:./test_output.xml --gtest_color=yes'
-          testDir: $(Agent.BuildDirectory)/s//rocrtst/suites/test_common/build/${{ job.target }}
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          environment: test
-          gpuTarget: ${{ job.target }}
-    # docker image will be missing libhwloc5
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: ROCR_Runtime_test_${{ job.os }}_${{ job.target }}
+    dependsOn: ROCR_Runtime_build_${{ job.os }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ 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 }}
+        packageManager: ${{ job.packageManager }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmTestDependencies }}
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: ${{ parameters.checkoutRepo }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+      parameters:
+        runRocminfo: false
+    - task: Bash@3
+      displayName: Build kfdtest
+      inputs:
+        targetType: 'inline'
+        workingDirectory: $(Build.SourcesDirectory)/libhsakmt/tests/kfdtest
+        script: |
+          if [ -e /opt/rh/gcc-toolset-14/enable ]; then
+            source /opt/rh/gcc-toolset-14/enable
+          fi
+          mkdir build && cd build
+          cmake -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm ..
+          make
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: kfdtest
+        testExecutable: BIN_DIR=$(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/build ./run_kfdtest.sh
+        testParameters: '-p core --gtest_output=xml:./test_output.xml --gtest_color=yes'
+        testDir: $(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/scripts
+        os: ${{ job.os }}
+    - task: Bash@3
+      displayName: Build rocrtst
+      inputs:
+        targetType: 'inline'
+        workingDirectory: $(Build.SourcesDirectory)/rocrtst/suites/test_common
+        script: |
+          echo $(Build.SourcesDirectory)/rocrtst/thirdparty/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
+          sudo cat /etc/ld.so.conf.d/rocm-ci.conf
+          sudo ldconfig -v
+          ldconfig -p
+          if [ -e /opt/rh/gcc-toolset-14/enable ]; then
+            source /opt/rh/gcc-toolset-14/enable
+          fi
+          BASE_CLANG_DIR=$(Agent.BuildDirectory)/rocm/llvm/lib/clang
+          export NEWEST_CLANG_VER=$(ls -1 $BASE_CLANG_DIR | sort -V | tail -n 1)
+          mkdir build && cd build
+          cmake .. \
+            -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm \
+            -DTARGET_DEVICES=${{ job.target }} \
+            -DROCM_DIR=$(Agent.BuildDirectory)/rocm \
+            -DLLVM_DIR=$(Agent.BuildDirectory)/rocm/llvm/bin \
+            -DOPENCL_INC_DIR=$BASE_CLANG_DIR/$NEWEST_CLANG_VER/include
+          make
+          make rocrtst_kernels
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocrtst
+        testExecutable: ./rocrtst64
+        testParameters: '--gtest_filter="-rocrtstNeg.Memory_Negative_Tests:rocrtstFunc.Memory_Max_Mem" --gtest_output=xml:./test_output.xml --gtest_color=yes'
+        testDir: $(Build.SourcesDirectory)/rocrtst/suites/test_common/build/${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        environment: test
+        gpuTarget: ${{ job.target }}
+  # docker image will be missing libhwloc5

.azuredevops/components/Tensile.yml

@@ -171,7 +171,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
     - task: DownloadPipelineArtifact@2
       displayName: 'Download Pipeline Wheel Files'
-      retryCountOnTaskFailure: 3
       inputs:
         itemPattern: '**/*${{ job.os }}*.whl'
         targetPath: $(Agent.BuildDirectory)

.azuredevops/components/hip-tests.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: hip-tests
 - 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
@@ -79,10 +60,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: hip_tests_build_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.target }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -99,18 +76,15 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
         dependencyList: ${{ parameters.rocmDependencies }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     # compile hip-tests
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
+        componentName: hip-tests
         cmakeSourceDir: '../catch'
         customBuildTarget: build_tests
         extraBuildFlags: >-
@@ -122,12 +96,9 @@ 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
@@ -137,56 +108,52 @@ jobs:
         extraEnvVars:
           - HIP_ROCCLR_HOME:::/home/user/workspace/rocm
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: hip_tests_test_${{ job.target }}
-      timeoutInMinutes: 240
-      dependsOn: hip_tests_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 }}
-      - 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 }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - task: Bash@3
-        displayName: Symlink rocm_agent_enumerator
-        inputs:
-          targetType: inline
-          script: |
-            # Assuming that /opt is no longer persistent across runs, test environments are fully ephemeral
-            sudo mkdir -p /opt/rocm/bin
-            sudo ln -s $(Agent.BuildDirectory)/rocm/bin/rocm_agent_enumerator /opt/rocm/bin/rocm_agent_enumerator
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          testDir: $(Agent.BuildDirectory)/rocm/share/hip
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          environment: test
-          gpuTarget: ${{ job.target }}
-          optSymLink: true
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: hip_tests_test_${{ job.target }}
+    timeoutInMinutes: 240
+    dependsOn: hip_tests_build_${{ job.target }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
+        eq(${{ parameters.aggregatePipeline }}, False)
+      )
+    variables:
+    - group: common
+    - template: /.azuredevops/variables-global.yml
+    pool: ${{ job.target }}_test_pool
+    workspace:
+      clean: all
+    steps:
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        gpuTarget: ${{ job.target }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmTestDependencies }}
+        gpuTarget: ${{ job.target }}
+    - task: Bash@3
+      displayName: Symlink rocm_agent_enumerator
+      inputs:
+        targetType: inline
+        script: |
+          # Assuming that /opt is no longer persistent across runs, test environments are fully ephemeral
+          sudo mkdir -p /opt/rocm/bin
+          sudo ln -s $(Agent.BuildDirectory)/rocm/bin/rocm_agent_enumerator /opt/rocm/bin/rocm_agent_enumerator
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: hip_tests
+        testDir: $(Agent.BuildDirectory)/rocm/share/hip
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        environment: test
+        gpuTarget: ${{ job.target }}
+        optSymLink: true

.azuredevops/components/hipBLASLt.yml

@@ -35,13 +35,9 @@ parameters:
     - ccache
     - gfortran
     - git
-    - libboost-filesystem-dev
-    - libboost-program-options-dev
     - libdrm-dev
-    - liblapack-dev
     - libmsgpack-dev
     - libnuma-dev
-    - libopenblas-dev
     - ninja-build
     - python3-pip
     - python3-venv
@@ -50,12 +46,6 @@ parameters:
   default:
     - joblib
     - "packaging>=22.0"
-    - pyyaml
-    - msgpack
-    - simplejson
-    - ujson
-    - orjson
-    - yappi
     - --upgrade
 - name: rocmDependencies
   type: object
@@ -91,12 +81,12 @@ parameters:
       - { pool: rocm-ci_medium_build_pool, os: ubuntu2204, packageManager: apt, target: gfx90a }
       - { pool: rocm-ci_medium_build_pool, os: ubuntu2204, packageManager: apt, target: gfx1201 }
       - { pool: rocm-ci_medium_build_pool, os: ubuntu2204, packageManager: apt, target: gfx1100 }
-      #- { pool: rocm-ci_medium_build_pool, os: ubuntu2204, packageManager: apt, target: gfx1030 }
+      - { pool: rocm-ci_medium_build_pool, os: ubuntu2204, packageManager: apt, target: gfx1030 }
       - { pool: rocm-ci_ultra_build_pool, os: almalinux8, packageManager: dnf, target: gfx942 }
       - { pool: rocm-ci_medium_build_pool, os: almalinux8, packageManager: dnf, target: gfx90a }
       - { pool: rocm-ci_medium_build_pool, os: almalinux8, packageManager: dnf, target: gfx1201 }
       - { pool: rocm-ci_medium_build_pool, os: almalinux8, packageManager: dnf, target: gfx1100 }
-      #- { pool: rocm-ci_medium_build_pool, os: almalinux8, packageManager: dnf, target: gfx1030 }
+      - { pool: rocm-ci_medium_build_pool, os: almalinux8, packageManager: dnf, target: gfx1030 }
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
@@ -178,8 +168,8 @@ jobs:
           mkdir -p $(Agent.BuildDirectory)/temp-deps
           cd $(Agent.BuildDirectory)/temp-deps
           # position-independent LAPACK is required for almalinux8 builds
-          cmake -DBUILD_GTEST=OFF -DBUILD_LAPACK=ON -DCMAKE_POSITION_INDEPENDENT_CODE=ON $(Agent.BuildDirectory)/sparse/projects/hipblaslt/deps
-          make -j
+          cmake -DBUILD_GTEST=OFF -DBUILD_LAPACK=ON -DCMAKE_POSITION_INDEPENDENT_CODE=ON $(Agent.BuildDirectory)/s/deps
+          make
           sudo make install
     - script: |
         mkdir -p $(CCACHE_DIR)
@@ -197,8 +187,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
-        cmakeSourceDir: $(Agent.BuildDirectory)/sparse/projects/hipblaslt
-        cmakeBuildDir: $(Agent.BuildDirectory)/sparse/projects/hipblaslt/build
         extraBuildFlags: >-
           -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor
           -DCMAKE_INCLUDE_PATH=$(Agent.BuildDirectory)/rocm/llvm/include
@@ -207,11 +195,7 @@ jobs:
           -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
           -DCMAKE_C_COMPILER_LAUNCHER=ccache
           -DAMDGPU_TARGETS=${{ job.target }}
-          -DGPU_TARGETS=${{ job.target }}
           -DBUILD_CLIENTS_TESTS=ON
-          -DHIPBLASLT_ENABLE_ROCROLLER=ON
-          -DHIPBLASLT_ENABLE_FETCH=ON
-          -DHIPBLASLT_ENABLE_BLIS=OFF
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:

.azuredevops/components/hipSPARSE.yml

@@ -69,7 +69,7 @@ parameters:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
       - { os: ubuntu2204, packageManager: apt, target: gfx1201 }
-      #- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
+      - { os: ubuntu2204, packageManager: apt, target: gfx1030 }
       - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }

.azuredevops/components/hipSPARSELt.yml

@@ -40,12 +40,10 @@ parameters:
     - gfortran
     - libgfortran5
     - libopenblas-dev
-    - liblapack-dev
 - name: pipModules
   type: object
   default:
     - joblib
-    - msgpack
 - name: rocmDependencies
   type: object
   default:
@@ -115,8 +113,7 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        # ignore sparse checkout for monorepo case, we want access to hipblaslt directory
-        # sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
+        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
@@ -126,20 +123,14 @@ jobs:
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
         ${{ if parameters.triggerDownstreamJobs }}:
           downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-  # NOTE: content between `---` is for transition support between old/new build systems
-  # and should be removed once transition is complete.
-  # -----------------------------
   # Build and install gtest and lapack
   # $(Pipeline.Workspace)/deps is a temporary folder for the build process
   # $(Pipeline.Workspace)/s/deps is part of the hipSPARSELt repo
-    - script: mkdir -p $(Pipeline.Workspace)/deps
+    - script: mkdir $(Pipeline.Workspace)/deps
       displayName: Create temp folder for external dependencies
   # hipSPARSELt already has a CMake script for external deps, so we can just run that
   # https://github.com/ROCm/hipSPARSELt/blob/develop/deps/CMakeLists.txt
-    - ${{ if ne(parameters.sparseCheckoutDir, '') }}:
-        script: cmake $(Pipeline.Workspace)/s/projects/hipsparselt/deps
-      ${{ else }}:
-        script: cmake $(Pipeline.Workspace)/s/deps
+    - script: cmake $(Pipeline.Workspace)/s/deps
       displayName: Configure hipSPARSELt external dependencies
       workingDirectory: $(Pipeline.Workspace)/deps
     - script: make
@@ -148,39 +139,22 @@ jobs:
     - script: sudo make install
       displayName: Install hipSPARSELt external dependencies
       workingDirectory: $(Pipeline.Workspace)/deps
-  # -----------------------------
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
-        # NOTE: the following options are old build only 
-        # and can be removed after full transition to new build
-        # -DAMDGPU_TARGETS=${{ job.target }}
-        # -DCMAKE_Fortran_COMPILER=f95
-        # -DTensile_LOGIC=
-        # -DTensile_CPU_THREADS=
-        # -DTensile_LIBRARY_FORMAT=msgpack
-        # -DROCM_PATH=$(Agent.BuildDirectory)/rocm
-        # -DBUILD_CLIENTS_TESTS=ON
-        # -DBUILD_USE_LOCAL_TENSILE=OFF
         extraBuildFlags: >-
           -DCMAKE_BUILD_TYPE=Release
           -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
           -DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-          -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
-          -DGPU_TARGETS=${{ job.target }}
-          -DAMDGPU_TARGETS=${{ job.target }}
           -DCMAKE_Fortran_COMPILER=f95
+          -DAMDGPU_TARGETS=${{ job.target }}
           -DTensile_LOGIC=
           -DTensile_CPU_THREADS=
           -DTensile_LIBRARY_FORMAT=msgpack
+          -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
           -DROCM_PATH=$(Agent.BuildDirectory)/rocm
           -DBUILD_CLIENTS_TESTS=ON
-          -DBUILD_USE_LOCAL_TENSILE=OFF
-          -DHIPSPARSELT_ENABLE_FETCH=ON
           -GNinja
-        ${{ if ne(parameters.sparseCheckoutDir, '') }}:
-          cmakeSourceDir: $(Build.SourcesDirectory)/projects/hipsparselt
-          cmakeBuildDir: $(Build.SourcesDirectory)/projects/hipsparselt
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
         componentName: ${{ parameters.componentName }}

.azuredevops/components/llvm-project.yml

@@ -30,7 +30,7 @@ parameters:
   default:
     buildJobs:
       - { os: ubuntu2204, packageManager: apt }
-      # - { os: ubuntu2404, packageManager: apt }
+      - { os: ubuntu2404, packageManager: apt }
       - { os: almalinux8, packageManager: dnf }
 
 jobs:

.azuredevops/components/origami.yml

@@ -1,236 +0,0 @@
-parameters:
-- name: componentName
-  type: string
-  default: origami
-- 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:
-    - cmake
-    - git
-    - ninja-build
-    - wget
-    - python3
-    - python3-dev
-    - python3-pip
-- name: pipModules
-  type: object
-  default:
-    - nanobind>=2.0.0
-- name: rocmDependencies
-  type: object
-  default:
-    - clr
-    - llvm-project
-    - rocm-cmake
-    - rocminfo
-    - ROCR-Runtime
-    - rocprofiler-register
-- name: rocmTestDependencies
-  type: object
-  default:
-    - clr
-    - llvm-project
-    - rocm-cmake
-    - rocminfo
-    - ROCR-Runtime
-    - rocprofiler-register
-
-- name: jobMatrix
-  type: object
-  default:
-    buildJobs:
-      - { os: ubuntu2204, packageManager: apt }
-      - { os: almalinux8, packageManager: dnf }
-    testJobs:
-      - { os: ubuntu2204, packageManager: apt, target: gfx942 }
-      - { os: ubuntu2204, packageManager: apt, target: gfx90a }
-- name: downstreamComponentMatrix
-  type: object
-  default:
-    - hipBLASLt:
-      name: hipBLASLt
-      sparseCheckoutDir: projects/hipblaslt
-      skipUnifiedBuild: 'false'
-      buildDependsOn:
-        - origami_build
-
-jobs:
-- ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: origami_build_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
-    variables:
-    - group: common
-    - template: /.azuredevops/variables-global.yml
-    - name: ROCM_PATH
-      value: $(Agent.BuildDirectory)/rocm
-    pool:
-      vmImage: ${{ variables.BASE_BUILD_POOL }}
-    ${{ if eq(job.os, 'almalinux8') }}:
-      container:
-        image: rocmexternalcicd.azurecr.io/manylinux228:latest
-        endpoint: ContainerService3
-    workspace:
-      clean: all
-    steps:
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-      parameters:
-        aptPackages: ${{ parameters.aptPackages }}
-        pipModules: ${{ parameters.pipModules }}
-        packageManager: ${{ job.packageManager }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-cmake-latest.yml
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-      parameters:
-        checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-      parameters:
-        checkoutRef: ${{ parameters.checkoutRef }}
-        dependencyList: ${{ parameters.rocmDependencies }}
-        os: ${{ job.os }}
-        aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-      parameters:
-        os: ${{ job.os }}
-        extraBuildFlags: >-
-          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-          -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-          -DORIGAMI_BUILD_SHARED_LIBS=ON
-          -DORIGAMI_ENABLE_PYTHON=ON
-          -DORIGAMI_BUILD_TESTING=ON
-          -GNinja
-    - ${{ if ne(job.os, 'almalinux8') }}:
-      - task: PublishPipelineArtifact@1
-        displayName: 'Publish Build Directory Artifact'
-        inputs:
-          targetPath: '$(Agent.BuildDirectory)/s/build'
-          artifact: '${{ parameters.componentName }}_${{ job.os }}_build_dir'
-          publishLocation: 'pipeline'
-      - task: PublishPipelineArtifact@1
-        displayName: 'Publish Python Source Artifact'
-        inputs:
-          targetPath: '$(Agent.BuildDirectory)/s/python'
-          artifact: '${{ parameters.componentName }}_${{ job.os }}_python_src'
-          publishLocation: 'pipeline'
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-      parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-        os: ${{ job.os }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        os: ${{ job.os }}
-        componentName: ${{ parameters.componentName }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
-
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: origami_test_${{ job.os }}_${{ job.target }}
-      timeoutInMinutes: 120
-      dependsOn: origami_build_${{ job.os }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-        parameters:
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-          sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          packageManager: ${{ job.packageManager }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          preTargetFilter: ${{ parameters.componentName }}
-          os: ${{ job.os }}
-      - task: DownloadPipelineArtifact@2
-        displayName: 'Download Build Directory Artifact'
-        inputs:
-          artifact: '${{ parameters.componentName }}_${{ job.os }}_build_dir'
-          path: '$(Agent.BuildDirectory)/s/build'
-      - task: DownloadPipelineArtifact@2
-        displayName: 'Download Python Source Artifact'
-        inputs:
-          artifact: '${{ parameters.componentName }}_${{ job.os }}_python_src'
-          path: '$(Agent.BuildDirectory)/s/python'
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmTestDependencies }}
-          os: ${{ job.os }}
-          gpuTarget: ${{ job.target }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-      - script: |
-          export PYTHONPATH=$(Agent.BuildDirectory)/s/build/python:$PYTHONPATH
-
-          echo "--- Running origami_test.py ---"
-          python3 $(Agent.BuildDirectory)/s/python/origami_test.py
-          
-          echo "--- Running origami_grid_test.py ---"
-          python3 $(Agent.BuildDirectory)/s/python/origami_grid_test.py
-        displayName: 'Run Python Binding Tests'
-        condition: succeeded()
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          gpuTarget: ${{ job.target }}
-
-- ${{ if parameters.triggerDownstreamJobs }}:
-  - ${{ each component in parameters.downstreamComponentMatrix }}:
-    - ${{ if not(and(parameters.unifiedBuild, eq(component.skipUnifiedBuild, 'true'))) }}:
-      - template: /.azuredevops/components/${{ component.name }}.yml@pipelines_repo
-        parameters:
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-          sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
-          buildDependsOn: ${{ component.buildDependsOn }}
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
-          triggerDownstreamJobs: true
-          unifiedBuild: ${{ parameters.unifiedBuild }}

.azuredevops/components/rccl.yml

@@ -76,7 +76,7 @@ jobs:
     - template: /.azuredevops/variables-global.yml
     - name: HIP_ROCCLR_HOME
       value: $(Build.BinariesDirectory)/rocm
-    pool: ${{ variables.MEDIUM_BUILD_POOL }}
+    pool: ${{ variables.HIGH_BUILD_POOL }}
     workspace:
       clean: all
     steps:

.azuredevops/components/rocBLAS.yml

@@ -84,12 +84,12 @@ parameters:
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
       - { os: ubuntu2204, packageManager: apt, target: gfx1201 }
       - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
-      #- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
+      - { os: ubuntu2204, packageManager: apt, target: gfx1030 }
       - { os: almalinux8, packageManager: dnf, target: gfx942 }
       - { os: almalinux8, packageManager: dnf, target: gfx90a }
       - { os: almalinux8, packageManager: dnf, target: gfx1201 }
       - { os: almalinux8, packageManager: dnf, target: gfx1100 }
-      #- { os: almalinux8, packageManager: dnf, target: gfx1030 }
+      - { os: almalinux8, packageManager: dnf, target: gfx1030 }
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
@@ -115,13 +115,6 @@ parameters:
 #        buildDependsOn:
 #          - rocBLAS_build
 #          - rocPRIM_build
-    # temporary rocblas->hipblas downstream path while the SOLVERs are disabled
-    - hipBLAS:
-      name: hipBLAS
-      sparseCheckoutDir: projects/hipblas
-      skipUnifiedBuild: 'false'
-      buildDependsOn:
-        - rocBLAS_build
 
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
@@ -179,8 +172,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
-        cmakeSourceDir: $(Agent.BuildDirectory)/sparse/projects/rocblas
-        cmakeBuildDir: $(Agent.BuildDirectory)/sparse/projects/rocblas/build
         extraBuildFlags: >-
           -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm/llvm;$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor
           -DCMAKE_BUILD_TYPE=Release

.azuredevops/components/rocDecode.yml

@@ -8,25 +8,6 @@ parameters:
 - name: checkoutRef
   type: string
   default: ''
-- name: rocPyDecodeRepo
-  type: string
-  default: rocpydecode_repo
-# 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
@@ -75,23 +56,10 @@ parameters:
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
-- name: downstreamComponentMatrix
-  type: object
-  default:
-    - rocPyDecode:
-      name: rocPyDecode
-      sparseCheckoutDir: ''
-      skipUnifiedBuild: 'false'
-      buildDependsOn:
-        - rocDecode_build
 
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: ${{ parameters.componentName }}_build_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -115,15 +83,12 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
         dependencyList: ${{ parameters.rocmDependencies }}
         os: ${{ job.os }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
@@ -204,15 +169,3 @@ jobs:
         registerROCmPackages: true
         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.rocPyDecodeRepo }}
-          sparseCheckoutDir: ${{ component.sparseCheckoutDir }}
-          buildDependsOn: ${{ component.buildDependsOn }}
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}+${{ parameters.componentName }}
-          triggerDownstreamJobs: true
-          unifiedBuild: ${{ parameters.unifiedBuild }}

.azuredevops/components/rocPyDecode.yml

@@ -5,22 +5,6 @@ parameters:
 - 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
@@ -63,19 +47,19 @@ parameters:
   type: object
   default:
     buildJobs:
-      - { os: ubuntu2204, packageManager: apt, target: gfx942 }
-      - { os: ubuntu2204, packageManager: apt, target: gfx90a }
+      - gfx942:
+        target: gfx942
+      - gfx90a:
+        target: gfx90a
     testJobs:
-      - { os: ubuntu2204, packageManager: apt, target: gfx942 }
-      - { os: ubuntu2204, packageManager: apt, target: gfx90a }
+      - gfx942:
+        target: gfx942
+      - gfx90a:
+        target: gfx90a
 
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocPyDecode_build_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -90,20 +74,16 @@ jobs:
       parameters:
         aptPackages: ${{ parameters.aptPackages }}
         pipModules: ${{ parameters.pipModules }}
-        packageManager: ${{ job.packageManager }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
         dependencyList: ${{ parameters.rocmDependencies }}
         gpuTarget: ${{ job.target }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - task: Bash@3
       displayName: 'Save Python Package Paths'
       inputs:
@@ -210,7 +190,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
     - task: DownloadPipelineArtifact@2
       displayName: 'Download Pipeline Wheel Files'
-      retryCountOnTaskFailure: 3
       inputs:
         itemPattern: '**/*.whl'
         targetPath: $(Agent.BuildDirectory)

.azuredevops/components/rocSOLVER.yml

@@ -74,12 +74,12 @@ parameters:
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
       - { os: ubuntu2204, packageManager: apt, target: gfx1201 }
       - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
-      #- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
+      - { os: ubuntu2204, packageManager: apt, target: gfx1030 }
       - { os: almalinux8, packageManager: dnf, target: gfx942 }
       - { os: almalinux8, packageManager: dnf, target: gfx90a }
       - { os: almalinux8, packageManager: dnf, target: gfx1201 }
       - { os: almalinux8, packageManager: dnf, target: gfx1100 }
-      #- { os: almalinux8, packageManager: dnf, target: gfx1030 }
+      - { os: almalinux8, packageManager: dnf, target: gfx1030 }
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }

.azuredevops/components/rocSPARSE.yml

@@ -73,7 +73,7 @@ parameters:
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }
       - { os: ubuntu2204, packageManager: apt, target: gfx1201 }
       - { os: ubuntu2204, packageManager: apt, target: gfx1100 }
-      #- { os: ubuntu2204, packageManager: apt, target: gfx1030 }
+      - { os: ubuntu2204, packageManager: apt, target: gfx1030 }
     testJobs:
       - { os: ubuntu2204, packageManager: apt, target: gfx942 }
       - { os: ubuntu2204, packageManager: apt, target: gfx90a }

.azuredevops/components/rocWMMA.yml

@@ -70,7 +70,7 @@ jobs:
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
-    pool: ${{ variables.MEDIUM_BUILD_POOL }}
+    pool: ${{ variables.HIGH_BUILD_POOL }}
     workspace:
       clean: all
     steps:

.azuredevops/components/rocm-core.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: rocm-core
 - 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
@@ -46,10 +27,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocm_core_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-        dependsOn:
-          - ${{ each build in parameters.buildDependsOn }}:
-            - ${{ build }}_${{ job.os }}
     pool:
       ${{ if eq(job.os, 'ubuntu2404') }}:
         vmImage: 'ubuntu-24.04'
@@ -73,10 +50,8 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
         useAmdclang: false
         extraBuildFlags: >-
@@ -90,12 +65,9 @@ jobs:
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
     # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml

.azuredevops/components/rocm-libraries.yml

@@ -36,10 +36,8 @@ parameters:
     - gfortran
     - git
     - libdrm-dev
-    - liblapack-dev
     - libmsgpack-dev
     - libnuma-dev
-    - libopenblas-dev
     - ninja-build
     - python3-pip
     - python3-venv
@@ -48,8 +46,6 @@ parameters:
   default:
     - joblib
     - "packaging>=22.0"
-    - pytest
-    - pytest-cmake
     - --upgrade
 - name: rocmDependencies
   type: object
@@ -102,12 +98,12 @@ jobs:
     workspace:
       clean: all
     steps:
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-cmake-latest.yml
     - 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:
@@ -138,26 +134,12 @@ jobs:
           rocm-libraries | ${{ job.os }} | ${{ job.target }} | $(DAY_STRING)
           rocm-libraries | ${{ job.os }} | ${{ job.target }}
           rocm-libraries | ${{ job.os }}
-    - task: Bash@3
-      displayName: Add paths for CMake and Python site-packages binaries
-      inputs:
-        targetType: inline
-        script: |
-          USER_BASE=$(python3 -m site --user-base)
-          echo "##vso[task.prependpath]$USER_BASE/bin"
-          echo "##vso[task.setvariable variable=PytestCmakePath]$USER_BASE/share/Pytest/cmake"
-        displayName: Set cmake configure paths
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
         extraBuildFlags: >-
-          -D CMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor;$(PytestCmakePath)
-          -D CMAKE_INCLUDE_PATH=$(Agent.BuildDirectory)/rocm/llvm/include
-          -D CMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-          -D CMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-          -D CMAKE_CXX_COMPILER_LAUNCHER=ccache
-          -D CMAKE_C_COMPILER_LAUNCHER=ccache
-          -G Ninja
+          -DROCM_LIBRARIES_SUPERBUILD=ON
+          -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
         componentName: ${{ parameters.componentName }}

.azuredevops/components/rocm_smi_lib.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: rocm_smi_lib
 - 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
@@ -51,10 +32,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocm_smi_lib_build_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
     pool:
       ${{ if eq(job.os, 'ubuntu2404') }}:
         vmImage: 'ubuntu-24.04'
@@ -78,10 +55,8 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
         useAmdclang: false
         extraBuildFlags: >-
@@ -90,56 +65,51 @@ jobs:
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
     # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
     #   parameters:
     #     aptPackages: ${{ parameters.aptPackages }}
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: rocm_smi_lib_test_${{ job.os }}_${{ job.target }}
-      dependsOn: rocm_smi_lib_build_${{ job.os }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - checkout: none
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          packageManager: ${{ job.packageManager }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-        parameters:
-          runRocminfo: false
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          testDir: '$(Agent.BuildDirectory)'
-          testExecutable: 'sudo ./rocm/share/rocm_smi/rsmitst_tests/rsmitst'
-          testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          environment: test
-          gpuTarget: ${{ job.target }}
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: rocm_smi_lib_test_${{ job.os }}_${{ job.target }}
+    dependsOn: rocm_smi_lib_build_${{ job.os }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ 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 }}
+        packageManager: ${{ job.packageManager }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+      parameters:
+        runRocminfo: false
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocm_smi_lib
+        testDir: '$(Agent.BuildDirectory)'
+        testExecutable: 'sudo ./rocm/share/rocm_smi/rsmitst_tests/rsmitst'
+        testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        environment: test
+        gpuTarget: ${{ job.target }}

.azuredevops/components/rocminfo.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: rocminfo
 - name: checkoutRepo
   type: string
   default: 'self'
 - name: checkoutRef
   type: string
   default: ''
-# monorepo related parameters
-- name: sparseCheckoutDir
-  type: string
-  default: ''
-- name: triggerDownstreamJobs
-  type: boolean
-  default: false
-- name: downstreamAggregateNames
-  type: string
-  default: ''
-- name: buildDependsOn
-  type: object
-  default: null
-- name: unifiedBuild
-  type: boolean
-  default: false
 # set to true if doing full build of ROCm stack
 # and dependencies are pulled from same pipeline
 - name: aggregatePipeline
@@ -59,11 +40,7 @@ parameters:
 
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: ${{ parameters.componentName }}_build_${{ job.os }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}
+  - job: rocminfo_build_${{ job.os }}
     pool:
       vmImage: 'ubuntu-22.04'
     ${{ if eq(job.os, 'almalinux8') }}:
@@ -85,18 +62,14 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
         dependencyList: ${{ parameters.rocmDependencies }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
         os: ${{ job.os }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
         useAmdclang: false
         extraBuildFlags: >-
@@ -105,71 +78,65 @@ jobs:
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: rocminfo_test_${{ job.target }}
-      dependsOn: rocminfo_build_${{ job.os }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          packageManager: ${{ job.packageManager }}
-          registerROCmPackages: true
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmTestDependencies }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-        parameters:
-          runRocminfo: false
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          testDir: '$(Agent.BuildDirectory)'
-          testExecutable: './rocm/bin/rocminfo'
-          testParameters: ''
-          testPublishResults: false
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: rocm_agent_enumerator
-          testDir: '$(Agent.BuildDirectory)'
-          testExecutable: './rocm/bin/rocm_agent_enumerator'
-          testParameters: ''
-          testPublishResults: false
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          registerROCmPackages: true
-          environment: test
-          gpuTarget: ${{ job.target }}
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: rocminfo_test_${{ job.target }}
+    dependsOn: rocminfo_build_${{ job.os }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ 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 }}
+        packageManager: ${{ job.packageManager }}
+        registerROCmPackages: true
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmTestDependencies }}
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+      parameters:
+        runRocminfo: false
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocminfo
+        testDir: '$(Agent.BuildDirectory)'
+        testExecutable: './rocm/bin/rocminfo'
+        testParameters: ''
+        testPublishResults: false
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocm_agent_enumerator
+        testDir: '$(Agent.BuildDirectory)'
+        testExecutable: './rocm/bin/rocm_agent_enumerator'
+        testParameters: ''
+        testPublishResults: false
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        registerROCmPackages: true
+        environment: test
+        gpuTarget: ${{ job.target }}

.azuredevops/components/rocprofiler-compute.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: rocprofiler-compute
 - 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
@@ -55,7 +36,6 @@ parameters:
     - pymongo
     - pyyaml
     - setuptools
-    - sqlalchemy
     - tabulate
     - textual
     - textual_plotext
@@ -98,10 +78,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocprofiler_compute_build_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}_${{ job.target }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -118,19 +94,15 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         extraBuildFlags: >-
           -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
@@ -139,83 +111,78 @@ jobs:
     #     pipModules: ${{ parameters.pipModules }}
     #     gpuTarget: ${{ job.target }}
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: rocprofiler_compute_test_${{ job.target }}
-      timeoutInMinutes: 120
-      dependsOn: rocprofiler_compute_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
-      - name: PYTHON_VERSION
-        value: 3.10
-      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/checkout.yml
-        parameters:
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-          sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-      - 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: ${{ parameters.downstreamAggregateNames }}
-      - task: Bash@3
-        displayName: Add en_US.UTF-8 locale
-        inputs:
-          targetType: inline
-          script: |
-            sudo locale-gen en_US.UTF-8
-            sudo update-locale
-            locale -a
-      - task: Bash@3
-        displayName: Add ROCm binaries to PATH
-        inputs:
-          targetType: inline
-          script: |
-            echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-            echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-        parameters:
-          extraBuildFlags: >-
-            -DCMAKE_HIP_ARCHITECTURES=${{ job.target }}
-            -DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-            -DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip
-            -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-            -DROCM_PATH=$(Agent.BuildDirectory)/rocm
-            -DCMAKE_BUILD_TYPE=Release
-            -DENABLE_TESTS=ON
-            -DINSTALL_TESTS=ON
-            -GNinja
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          testDir: $(Build.BinariesDirectory)/libexec/rocprofiler-compute
-          testExecutable: ROCM_PATH=$(Agent.BuildDirectory)/rocm ctest
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          gpuTarget: ${{ job.target }}
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: rocprofiler_compute_test_${{ job.target }}
+    timeoutInMinutes: 120
+    dependsOn: rocprofiler_compute_build_${{ job.target }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
+        eq(${{ parameters.aggregatePipeline }}, False)
+      )
+    variables:
+    - group: common
+    - template: /.azuredevops/variables-global.yml
+    - name: PYTHON_VERSION
+      value: 3.10
+    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/checkout.yml
+      parameters:
+        checkoutRepo: ${{ parameters.checkoutRepo }}
+    - 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: ${{ job.target }}
+    - task: Bash@3
+      displayName: Add en_US.UTF-8 locale
+      inputs:
+        targetType: inline
+        script: |
+          sudo locale-gen en_US.UTF-8
+          sudo update-locale
+          locale -a
+    - task: Bash@3
+      displayName: Add ROCm binaries to PATH
+      inputs:
+        targetType: inline
+        script: |
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+      parameters:
+        extraBuildFlags: >-
+          -DCMAKE_HIP_ARCHITECTURES=${{ job.target }}
+          -DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
+          -DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip
+          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
+          -DROCM_PATH=$(Agent.BuildDirectory)/rocm
+          -DCMAKE_BUILD_TYPE=Release
+          -DENABLE_TESTS=ON
+          -DINSTALL_TESTS=ON
+          -GNinja
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocprofiler-compute
+        testDir: $(Build.BinariesDirectory)/libexec/rocprofiler-compute
+        testExecutable: ROCM_PATH=$(Agent.BuildDirectory)/rocm ctest
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        environment: test
+        gpuTarget: ${{ job.target }}

.azuredevops/components/rocprofiler-sdk.yml

@@ -1,29 +1,10 @@
 parameters:
-- name: componentName
-  type: string
-  default: rocprofiler-sdk
 - 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
@@ -92,10 +73,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocprofiler_sdk_build_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.target }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -112,7 +89,6 @@ 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/dependencies-rocm.yml
       parameters:
@@ -120,8 +96,6 @@ jobs:
         dependencyList: ${{ parameters.rocmDependencies }}
         gpuTarget: ${{ job.target }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - task: Bash@3
       displayName: Add Python site-packages binaries to path
       inputs:
@@ -131,7 +105,6 @@ jobs:
           echo "##vso[task.prependpath]$USER_BASE/bin"
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         extraBuildFlags: >-
           -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
           -DROCPROFILER_BUILD_TESTS=ON
@@ -141,12 +114,9 @@ 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
@@ -156,67 +126,62 @@ jobs:
     #     gpuTarget: ${{ job.target }}
     #     registerROCmPackages: true
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: rocprofiler_sdk_test_${{ job.target }}
-      dependsOn: rocprofiler_sdk_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:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          registerROCmPackages: true
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-        parameters:
-          sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmDependencies }}
-          gpuTarget: ${{ job.target }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-              downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - task: Bash@3
-        displayName: Add Python and ROCm binaries to path
-        inputs:
-          targetType: inline
-          script: |
-            USER_BASE=$(python3 -m site --user-base)
-            echo "##vso[task.prependpath]$USER_BASE/bin"
-            echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          extraBuildFlags: >-
-            -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-            -DROCPROFILER_BUILD_TESTS=ON
-            -DROCPROFILER_BUILD_SAMPLES=ON
-            -DROCPROFILER_BUILD_RELEASE=ON
-            -DGPU_TARGETS=${{ job.target }}
-            -GNinja
-      - template: ${{ variables.CI_TEMPLATE_PATH}}/steps/gpu-diagnostics.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          gpuTarget: ${{ job.target }}
-          registerROCmPackages: true
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: rocprofiler_sdk_test_${{ job.target }}
+    dependsOn: rocprofiler_sdk_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 }}
+        registerROCmPackages: true
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: ${{ parameters.checkoutRepo }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmDependencies }}
+        gpuTarget: ${{ job.target }}
+    - task: Bash@3
+      displayName: Add Python and ROCm binaries to path
+      inputs:
+        targetType: inline
+        script: |
+          USER_BASE=$(python3 -m site --user-base)
+          echo "##vso[task.prependpath]$USER_BASE/bin"
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+      parameters:
+        extraBuildFlags: >-
+          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
+          -DROCPROFILER_BUILD_TESTS=ON
+          -DROCPROFILER_BUILD_SAMPLES=ON
+          -DROCPROFILER_BUILD_RELEASE=ON
+          -DGPU_TARGETS=${{ job.target }}
+          -GNinja
+    - template: ${{ variables.CI_TEMPLATE_PATH}}/steps/gpu-diagnostics.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocprofiler-sdk
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        environment: test
+        gpuTarget: ${{ job.target }}
+        registerROCmPackages: true

.azuredevops/components/rocprofiler-systems.yml

@@ -6,25 +6,6 @@ parameters:
 - name: checkoutRef
   type: string
   default: ''
-# monorepo related parameters
-- name: componentName
-  type: string
-  default: rocprofiler-systems
-- 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
@@ -106,10 +87,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: rocprofiler_systems_build_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-        dependsOn:
-          - ${{ each build in parameters.buildDependsOn }}:
-            - ${{ build }}_${{ job.os }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -128,7 +105,6 @@ 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: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
@@ -160,16 +136,12 @@ jobs:
           -DCMAKE_CXX_FLAGS=-I$(Agent.BuildDirectory)/rocm/include/rocjpeg
           -DGPU_TARGETS=${{ job.target }}
           -GNinja
-        componentName: ${{ parameters.componentName }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
         gpuTarget: ${{ job.target }}
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
         gpuTarget: ${{ job.target }}
-        componentName: ${{ parameters.componentName }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
       parameters:
@@ -179,88 +151,85 @@ jobs:
         registerROCmPackages: true
         extraPaths: /home/user/workspace/rocm/bin:/home/user/workspace/rocm/llvm/bin
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: rocprofiler_systems_test_${{ job.target }}
-      dependsOn: rocprofiler_systems_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)
-        )
-      timeoutInMinutes: 180
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      - name: ROCM_PATH
-        value: $(Agent.BuildDirectory)/rocm
-      pool:
-        name: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          registerROCmPackages: true
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-        parameters:
-          checkoutRepo: ${{ parameters.checkoutRepo }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmDependencies }}
-          gpuTarget: ${{ job.target }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - task: Bash@3
-        displayName: Add ROCm binaries to PATH
-        inputs:
-          targetType: inline
-          script: |
-            echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-            echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-        parameters:
-    # build flags reference: https://rocm.docs.amd.com/projects/omnitrace/en/latest/install/install.html
-          extraBuildFlags: >-
-            -DROCPROFSYS_BUILD_TESTING=ON
-            -DROCPROFSYS_BUILD_DYNINST=ON
-            -DROCPROFSYS_BUILD_LIBUNWIND=ON
-            -DROCPROFSYS_DISABLE_EXAMPLES="openmp-target"
-            -DDYNINST_BUILD_TBB=ON
-            -DDYNINST_BUILD_ELFUTILS=ON
-            -DDYNINST_BUILD_LIBIBERTY=ON
-            -DDYNINST_BUILD_BOOST=ON
-            -DROCPROFSYS_USE_PAPI=ON
-            -DROCPROFSYS_USE_MPI=ON
-            -DCMAKE_CXX_FLAGS=-I$(Agent.BuildDirectory)/rocm/include/rocjpeg
-            -DGPU_TARGETS=${{ job.target }}
-            -GNinja
-      - task: Bash@3
-        displayName: Set up rocprofiler-systems env
-        inputs:
-          targetType: inline
-          script: source share/rocprofiler-systems/setup-env.sh
-          workingDirectory: build
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-        parameters:
-          gpuTarget: ${{ job.target }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-        parameters:
-          gpuTarget: ${{ job.target }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          registerROCmPackages: true
-          gpuTarget: ${{ job.target }}
-          extraPaths: /home/user/workspace/rocm/bin:/home/user/workspace/rocm/llvm/bin
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: rocprofiler_systems_test_${{ job.target }}
+    dependsOn: rocprofiler_systems_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)
+      )
+    timeoutInMinutes: 180
+    variables:
+    - group: common
+    - template: /.azuredevops/variables-global.yml
+    - name: ROCM_PATH
+      value: $(Agent.BuildDirectory)/rocm
+    pool:
+      name: ${{ job.target }}_test_pool
+    workspace:
+      clean: all
+    steps:
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        registerROCmPackages: true
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+      parameters:
+        checkoutRepo: ${{ parameters.checkoutRepo }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmDependencies }}
+        gpuTarget: ${{ job.target }}
+    - task: Bash@3
+      displayName: Add ROCm binaries to PATH
+      inputs:
+        targetType: inline
+        script: |
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+      parameters:
+  # build flags reference: https://rocm.docs.amd.com/projects/omnitrace/en/latest/install/install.html
+        extraBuildFlags: >-
+          -DROCPROFSYS_BUILD_TESTING=ON
+          -DROCPROFSYS_BUILD_DYNINST=ON
+          -DROCPROFSYS_BUILD_LIBUNWIND=ON
+          -DROCPROFSYS_DISABLE_EXAMPLES="openmp-target"
+          -DDYNINST_BUILD_TBB=ON
+          -DDYNINST_BUILD_ELFUTILS=ON
+          -DDYNINST_BUILD_LIBIBERTY=ON
+          -DDYNINST_BUILD_BOOST=ON
+          -DROCPROFSYS_USE_PAPI=ON
+          -DROCPROFSYS_USE_MPI=ON
+          -DCMAKE_CXX_FLAGS=-I$(Agent.BuildDirectory)/rocm/include/rocjpeg
+          -DGPU_TARGETS=${{ job.target }}
+          -GNinja
+    - task: Bash@3
+      displayName: Set up rocprofiler-systems env
+      inputs:
+        targetType: inline
+        script: source share/rocprofiler-systems/setup-env.sh
+        workingDirectory: build
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocprofiler-systems
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
+      parameters:
+        gpuTarget: ${{ job.target }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
+      parameters:
+        gpuTarget: ${{ job.target }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        environment: test
+        registerROCmPackages: true
+        gpuTarget: ${{ job.target }}
+        extraPaths: /home/user/workspace/rocm/bin:/home/user/workspace/rocm/llvm/bin

.azuredevops/components/rocprofiler.yml

@@ -8,22 +8,6 @@ parameters:
 - 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
@@ -86,10 +70,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}_${{ job.target }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -114,7 +94,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
       parameters:
         dependencyList:
@@ -129,8 +108,6 @@ jobs:
         gpuTarget: ${{ job.target }}
         os: ${{ job.os }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
         os: ${{ job.os }}
@@ -138,7 +115,6 @@ jobs:
         extraBuildFlags: >-
           -DCMAKE_MODULE_PATH=$(Build.SourcesDirectory)/cmake_modules;$(Agent.BuildDirectory)/rocm/lib/cmake;$(Agent.BuildDirectory)/rocm/lib/cmake/hip;$(Agent.BuildDirectory)/rocm/lib64/cmake;$(Agent.BuildDirectory)/rocm/lib64/cmake/hip
           -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/vendor"
-          -DROCM_PATH=$(Agent.BuildDirectory)/rocm
           -DCMAKE_POSITION_INDEPENDENT_CODE=ON
           -DENABLE_LDCONFIG=OFF
           -DUSE_PROF_API=1
@@ -146,13 +122,10 @@ jobs:
         multithreadFlag: -- -j32
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         gpuTarget: ${{ job.target }}
         os: ${{ job.os }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         gpuTarget: ${{ job.target }}
         os: ${{ job.os }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
@@ -166,68 +139,63 @@ jobs:
             - HIP_ROCCLR_HOME:::/home/user/workspace/rocm
             - ROCM_PATH:::/home/user/workspace/rocm
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
-      dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      - name: ROCM_PATH
-        value: $(Agent.BuildDirectory)/rocm
-      - name: LD_LIBRARY_PATH
-        value: $(Agent.BuildDirectory)/rocm/lib/rocprofiler:$(Agent.BuildDirectory)/rocm/share/rocprofiler/tests-v1/test:$(Agent.BuildDirectory)/rocm/share/rocprofiler/tests
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - checkout: none
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          packageManager: ${{ job.packageManager }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          preTargetFilter: ${{ parameters.componentName }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-        parameters:
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmDependencies }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-          ${{ 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: rocprofilerV1
-          testDir: $(Agent.BuildDirectory)/rocm/share/rocprofiler/tests-v1
-          testExecutable:  ./run.sh
-          testParameters: ''
-          testPublishResults: false
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: rocprofilerV2
-          testDir: $(Agent.BuildDirectory)/rocm
-          testExecutable:  share/rocprofiler/tests/runUnitTests
-          testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          gpuTarget: ${{ job.target }}
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
+    dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
+        eq(${{ parameters.aggregatePipeline }}, False)
+      )
+    variables:
+    - group: common
+    - template: /.azuredevops/variables-global.yml
+    - name: ROCM_PATH
+      value: $(Agent.BuildDirectory)/rocm
+    - name: LD_LIBRARY_PATH
+      value: $(Agent.BuildDirectory)/rocm/lib/rocprofiler:$(Agent.BuildDirectory)/rocm/share/rocprofiler/tests-v1/test:$(Agent.BuildDirectory)/rocm/share/rocprofiler/tests
+    pool: ${{ job.target }}_test_pool
+    workspace:
+      clean: all
+    steps:
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        packageManager: ${{ job.packageManager }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+      parameters:
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmDependencies }}
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocprofilerV1
+        testDir: $(Agent.BuildDirectory)/rocm/share/rocprofiler/tests-v1
+        testExecutable:  ./run.sh
+        testParameters: ''
+        testPublishResults: false
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: rocprofilerV2
+        testDir: $(Agent.BuildDirectory)/rocm
+        testExecutable:  share/rocprofiler/tests/runUnitTests
+        testParameters: '--gtest_output=xml:./test_output.xml --gtest_color=yes'
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        environment: test
+        gpuTarget: ${{ job.target }}

.azuredevops/components/roctracer.yml

@@ -8,22 +8,6 @@ parameters:
 - 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
@@ -81,10 +65,6 @@ parameters:
 jobs:
 - ${{ each job in parameters.jobMatrix.buildJobs }}:
   - job: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
-    ${{ if parameters.buildDependsOn }}:
-      dependsOn:
-        - ${{ each build in parameters.buildDependsOn }}:
-          - ${{ build }}_${{ job.os }}_${{ job.target }}
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -107,7 +87,6 @@ jobs:
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
       parameters:
         checkoutRepo: ${{ parameters.checkoutRepo }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
       parameters:
         checkoutRef: ${{ parameters.checkoutRef }}
@@ -115,8 +94,6 @@ jobs:
         gpuTarget: ${{ job.target }}
         aggregatePipeline: ${{ parameters.aggregatePipeline }}
         os: ${{ job.os }}
-        ${{ if parameters.triggerDownstreamJobs }}:
-          downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
     # the linker flags will not affect ubuntu2204 builds as the paths do not exist
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
       parameters:
@@ -132,13 +109,10 @@ jobs:
           -GNinja
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
-        sparseCheckoutDir: ${{ parameters.sparseCheckoutDir }}
         os: ${{ job.os }}
         gpuTarget: ${{ job.target }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
       parameters:
-        componentName: ${{ parameters.componentName }}
         os: ${{ job.os }}
         gpuTarget: ${{ job.target }}
     - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
@@ -149,57 +123,53 @@ jobs:
     #     gpuTarget: ${{ job.target }}
     #     registerROCmPackages: true
 
-- ${{ if eq(parameters.unifiedBuild, False) }}:
-  - ${{ each job in parameters.jobMatrix.testJobs }}:
-    - job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
-      dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
-      condition:
-        and(succeeded(),
-          eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
-          not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), '${{ parameters.componentName }}')),
-          eq(${{ parameters.aggregatePipeline }}, False)
-        )
-      variables:
-      - group: common
-      - template: /.azuredevops/variables-global.yml
-      pool: ${{ job.target }}_test_pool
-      workspace:
-        clean: all
-      steps:
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          packageManager: ${{ job.packageManager }}
-          registerROCmPackages: true
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-        parameters:
-          preTargetFilter: ${{ parameters.componentName }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-        parameters:
-          checkoutRef: ${{ parameters.checkoutRef }}
-          dependencyList: ${{ parameters.rocmTestDependencies }}
-          gpuTarget: ${{ job.target }}
-          os: ${{ job.os }}
-          ${{ if parameters.triggerDownstreamJobs }}:
-            downstreamAggregateNames: ${{ parameters.downstreamAggregateNames }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-        parameters:
-          componentName: ${{ parameters.componentName }}
-          testExecutable: $(Agent.BuildDirectory)/rocm/share/roctracer/run_tests.sh
-          testParameters: ''
-          testDir: $(Agent.BuildDirectory)
-          testPublishResults: false
-          os: ${{ job.os }}
-      - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
-        parameters:
-          aptPackages: ${{ parameters.aptPackages }}
-          pipModules: ${{ parameters.pipModules }}
-          environment: test
-          gpuTarget: ${{ job.target }}
-          registerROCmPackages: true
+- ${{ each job in parameters.jobMatrix.testJobs }}:
+  - job: ${{ parameters.componentName }}_test_${{ job.os }}_${{ job.target }}
+    dependsOn: ${{ parameters.componentName }}_build_${{ job.os }}_${{ job.target }}
+    condition:
+      and(succeeded(),
+        eq(variables['ENABLE_${{ upper(job.target) }}_TESTS'], 'true'),
+        not(containsValue(split(variables['DISABLED_${{ upper(job.target) }}_TESTS'], ','), variables['Build.DefinitionName'])),
+        eq(${{ 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 }}
+        packageManager: ${{ job.packageManager }}
+        registerROCmPackages: true
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+      parameters:
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+      parameters:
+        checkoutRef: ${{ parameters.checkoutRef }}
+        dependencyList: ${{ parameters.rocmTestDependencies }}
+        gpuTarget: ${{ job.target }}
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+      parameters:
+        componentName: roctracer
+        testExecutable: $(Agent.BuildDirectory)/rocm/share/roctracer/run_tests.sh
+        testParameters: ''
+        testDir: $(Agent.BuildDirectory)
+        testPublishResults: false
+        os: ${{ job.os }}
+    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
+      parameters:
+        aptPackages: ${{ parameters.aptPackages }}
+        pipModules: ${{ parameters.pipModules }}
+        environment: test
+        gpuTarget: ${{ job.target }}
+        registerROCmPackages: true

.azuredevops/dependencies/catch2.yml

@@ -1,63 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: catch2Version
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - git
-    - ninja-build
-
-- name: jobMatrix
-  type: object
-  default:
-    buildJobs:
-      - { os: ubuntu2204, packageManager: apt}
-      - { os: almalinux8, packageManager: dnf}
-
-jobs:
-- ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: catch2_${{ job.os }}
-    variables:
-    - group: common
-    - template: /.azuredevops/variables-global.yml
-    pool:
-      vmImage: 'ubuntu-22.04'
-    ${{ if eq(job.os, 'almalinux8') }}:
-      container:
-        image: rocmexternalcicd.azurecr.io/manylinux228:latest
-        endpoint: ContainerService3
-    workspace:
-      clean: all
-    steps:
-    - checkout: none
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-      parameters:
-        aptPackages: ${{ parameters.aptPackages }}
-        packageManager: ${{ job.packageManager }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    - task: Bash@3
-      displayName: Clone catch2 ${{ parameters.catch2Version }}
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/catchorg/Catch2.git -b ${{ parameters.catch2Version }}
-        workingDirectory: $(Agent.BuildDirectory)
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-      parameters:
-        os: ${{ job.os }}
-        cmakeBuildDir: $(Agent.BuildDirectory)/Catch2/build
-        cmakeSourceDir: $(Agent.BuildDirectory)/Catch2
-        useAmdclang: false
-        extraBuildFlags: >-
-          -DCMAKE_BUILD_TYPE=Release
-          -GNinja
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        os: ${{ job.os }}

.azuredevops/dependencies/fmtlib.yml

@@ -1,67 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: fmtlibVersion
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - git
-    - ninja-build
-    - libfmt-dev
-
-- name: jobMatrix
-  type: object
-  default:
-    buildJobs:
-      - { os: ubuntu2204, packageManager: apt}
-      - { os: almalinux8, packageManager: dnf}
-
-jobs:
-- ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: fmtlib_${{ job.os }}
-    variables:
-    - group: common
-    - template: /.azuredevops/variables-global.yml
-    pool:
-      vmImage: 'ubuntu-22.04'
-    ${{ if eq(job.os, 'almalinux8') }}:
-      container:
-        image: rocmexternalcicd.azurecr.io/manylinux228:latest
-        endpoint: ContainerService3
-    workspace:
-      clean: all
-    steps:
-    - checkout: none
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-      parameters:
-        aptPackages: ${{ parameters.aptPackages }}
-        packageManager: ${{ job.packageManager }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    - task: Bash@3
-      displayName: Clone fmtlib ${{ parameters.fmtlibVersion }}
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/fmtlib/fmt.git -b ${{ parameters.fmtlibVersion }}
-        workingDirectory: $(Agent.BuildDirectory)
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-      parameters:
-        os: ${{ job.os }}
-        cmakeBuildDir: $(Agent.BuildDirectory)/fmt/build
-        cmakeSourceDir: $(Agent.BuildDirectory)/fmt
-        useAmdclang: false
-        extraBuildFlags: >-
-          -DCMAKE_BUILD_TYPE=Release
-          -DFMT_SYSTEM_HEADERS=ON
-          -DFMT_INSTALL=ON
-          -DFMT_TEST=OFF
-          -GNinja
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        os: ${{ job.os }}

.azuredevops/dependencies/libdivide.yml

@@ -1,64 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: libdivideVersion
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - git
-    - ninja-build
-
-- name: jobMatrix
-  type: object
-  default:
-    buildJobs:
-      - { os: ubuntu2204, packageManager: apt}
-      - { os: almalinux8, packageManager: dnf}
-
-jobs:
-- ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: libdivide_${{ job.os }}
-    variables:
-    - group: common
-    - template: /.azuredevops/variables-global.yml
-    pool:
-      vmImage: 'ubuntu-22.04'
-    ${{ if eq(job.os, 'almalinux8') }}:
-      container:
-        image: rocmexternalcicd.azurecr.io/manylinux228:latest
-        endpoint: ContainerService3
-    workspace:
-      clean: all
-    steps:
-    - checkout: none
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-      parameters:
-        aptPackages: ${{ parameters.aptPackages }}
-        packageManager: ${{ job.packageManager }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    - task: Bash@3
-      displayName: Clone libdivide ${{ parameters.libdivideVersion }}
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/ridiculousfish/libdivide.git -b ${{ parameters.libdivideVersion }}
-        workingDirectory: $(Agent.BuildDirectory)
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-      parameters:
-        os: ${{ job.os }}
-        cmakeBuildDir: $(Agent.BuildDirectory)/libdivide/build
-        cmakeSourceDir: $(Agent.BuildDirectory)/libdivide
-        useAmdclang: false
-        extraBuildFlags: >-
-          -DCMAKE_BUILD_TYPE=Release
-          -DLIBDIVIDE_BUILD_TESTS=OFF
-          -GNinja
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        os: ${{ job.os }}

.azuredevops/dependencies/spdlog.yml

@@ -1,71 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: spdlogVersion
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - git
-    - ninja-build
-
-- name: jobMatrix
-  type: object
-  default:
-    buildJobs:
-      - { os: ubuntu2204, packageManager: apt}
-      - { os: almalinux8, packageManager: dnf}
-
-jobs:
-- ${{ each job in parameters.jobMatrix.buildJobs }}:
-  - job: spdlog_${{ job.os }}
-    variables:
-    - group: common
-    - template: /.azuredevops/variables-global.yml
-    pool:
-      vmImage: 'ubuntu-22.04'
-    ${{ if eq(job.os, 'almalinux8') }}:
-      container:
-        image: rocmexternalcicd.azurecr.io/manylinux228:latest
-        endpoint: ContainerService3
-    workspace:
-      clean: all
-    steps:
-    - checkout: none
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-      parameters:
-        aptPackages: ${{ parameters.aptPackages }}
-        packageManager: ${{ job.packageManager }}
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-vendor.yml
-      parameters:
-        dependencyList:
-          - fmtlib
-    - task: Bash@3
-      displayName: Clone spdlog ${{ parameters.spdlogVersion }}
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/gabime/spdlog.git -b ${{ parameters.spdlogVersion }}
-        workingDirectory: $(Agent.BuildDirectory)
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-      parameters:
-        os: ${{ job.os }}
-        cmakeBuildDir: $(Agent.BuildDirectory)/spdlog/build
-        cmakeSourceDir: $(Agent.BuildDirectory)/spdlog
-        useAmdclang: false
-        extraBuildFlags: >-
-          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/vendor
-          -DCMAKE_BUILD_TYPE=Release
-          -DSPDLOG_USE_STD_FORMAT=OFF
-          -DSPDLOG_FMT_EXTERNAL_HO=ON
-          -DSPDLOG_INSTALL=ON
-          -GNinja
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        os: ${{ job.os }}

.azuredevops/nightly/pytorch.yml

@@ -397,7 +397,6 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - task: DownloadPipelineArtifact@2
     displayName: 'Download Pipeline Wheel Files'
-    retryCountOnTaskFailure: 3
     inputs:
       itemPattern: '**/*.whl'
       targetPath: $(Agent.BuildDirectory)

.azuredevops/nightly/rocm-nightly.yml

@@ -93,7 +93,7 @@ schedules:
 jobs:
 - ${{ each job in parameters.jobList }}:
   - job: nightly_${{ job.os }}_${{ job.target }}
-    timeoutInMinutes: 120
+    timeoutInMinutes: 90
     variables:
     - group: common
     - template: /.azuredevops/variables-global.yml
@@ -226,7 +226,6 @@ jobs:
             cat Dockerfile
     - task: Docker@2
       displayName: Build and upload Docker image
-      retryCountOnTaskFailure: 3
       inputs:
         containerRegistry: ContainerService3
         repository: 'nightly-${{ job.os }}-${{ job.target }}'

.azuredevops/tag-builds/catch2.yml

@@ -1,23 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: catch2Version
-  type: string
-  default: "v3.7.0"
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_DEPENDENCIES_PATH }}/catch2.yml
-    parameters:
-      catch2Version: ${{ parameters.catch2Version }}

.azuredevops/tag-builds/fmtlib.yml

@@ -1,23 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: fmtlibVersion
-  type: string
-  default: "11.1.3"
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_DEPENDENCIES_PATH }}/fmtlib.yml
-    parameters:
-      fmtlibVersion: ${{ parameters.fmtlibVersion }}

.azuredevops/tag-builds/libdivide.yml

@@ -1,23 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: libdivideVersion
-  type: string
-  default: master
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_DEPENDENCIES_PATH }}/libdivide.yml
-    parameters:
-      libdivideVersion: ${{ parameters.libdivideVersion }}

.azuredevops/tag-builds/spdlog.yml

@@ -1,23 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: spdlogVersion
-  type: string
-  default: "v1.15.1"
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_DEPENDENCIES_PATH }}/spdlog.yml
-    parameters:
-      spdlogVersion: ${{ parameters.spdlogVersion }}

.azuredevops/templates/steps/artifact-download.yml

@@ -24,12 +24,8 @@ parameters:
 steps:
 - task: DownloadPipelineArtifact@2
   displayName: Download ${{ parameters.componentName }}
-  retryCountOnTaskFailure: 3
   inputs:
-    ${{ if eq(parameters.componentName, 'clr') }}:
-      itemPattern: '**/*${{ parameters.componentName }}*${{ parameters.fileFilter }}*amd*' # filter out nvidia clr artifacts
-    ${{ else }}:
-      itemPattern: '**/*${{ parameters.componentName }}*${{ parameters.fileFilter }}*'
+    itemPattern: '**/*${{ parameters.componentName }}*${{ parameters.fileFilter }}*'
     targetPath: '$(Pipeline.Workspace)/d'
     allowPartiallySucceededBuilds: true
     ${{ if parameters.aggregatePipeline }}:

.azuredevops/templates/steps/checkout.yml

@@ -20,7 +20,7 @@ steps:
     retryCountOnTaskFailure: 3
     fetchFilter: blob:none
     ${{ if ne(parameters.sparseCheckoutDir, '') }}:
-      sparseCheckoutDirectories: ${{ parameters.sparseCheckoutDir }} shared
+      sparseCheckoutDirectories: ${{ parameters.sparseCheckoutDir }}
       path: sparse
   - ${{ if ne(parameters.sparseCheckoutDir, '') }}:
     - task: Bash@3

.azuredevops/templates/steps/dependencies-apt.yml

@@ -10,7 +10,6 @@ steps:
 - ${{ if eq(parameters.registerROCmPackages, true) }}:
   - task: Bash@3
     displayName: 'Register AMDGPU & ROCm repos (apt)'
-    retryCountOnTaskFailure: 3
     inputs:
       targetType: inline
       script: |
@@ -21,8 +20,7 @@ steps:
         echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
         sudo apt update
 - task: Bash@3
-  displayName: 'APT update and install packages'
-  retryCountOnTaskFailure: 3
+  displayName: 'sudo apt-get update'
   inputs:
     targetType: inline
     script: |
@@ -30,6 +28,15 @@ steps:
       echo "deb http://archive.ubuntu.com/ubuntu/ jammy-updates main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
       echo "deb http://archive.ubuntu.com/ubuntu/ jammy-backports main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
       echo "deb http://archive.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse" | sudo tee -a /etc/apt/sources.list.d/default.list
-      sudo DEBIAN_FRONTEND=noninteractive apt-get --yes update && \
-        sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-broken install && \
-        sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-missing install ${{ join(' ', parameters.aptPackages) }}
+      sudo DEBIAN_FRONTEND=noninteractive apt-get --yes update
+- task: Bash@3
+  displayName: 'sudo apt-get fix'
+  inputs:
+    targetType: inline
+    script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-broken install
+- ${{ if gt(length(parameters.aptPackages), 0) }}:
+  - task: Bash@3
+    displayName: 'sudo apt-get install ...'
+    inputs:
+      targetType: inline
+      script: sudo DEBIAN_FRONTEND=noninteractive apt-get --yes --fix-missing install ${{ join(' ', parameters.aptPackages) }}

.azuredevops/templates/steps/dependencies-aqlprofile.yml

@@ -5,28 +5,51 @@ parameters:
 
 steps:
 - task: Bash@3
-  displayName: Download and install aqlprofile
-  retryCountOnTaskFailure: 3
+  displayName: Get aqlprofile package name
+  inputs:
+    targetType: inline
+    ${{ if eq(parameters.os, 'ubuntu2204') }}:
+      script: |
+        export packageName=$(curl -s https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb")
+        echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
+    ${{ if eq(parameters.os, 'almalinux8') }}:
+      script: |
+        export packageName=$(curl -s https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/ | grep -oP "hsa-amd-aqlprofile-[^\"]+\.rpm" | head -n1)
+        echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
+- task: Bash@3
+  displayName: 'Download aqlprofile'
+  inputs:
+    targetType: inline
+    workingDirectory: '$(Pipeline.Workspace)'
+    ${{ if eq(parameters.os, 'ubuntu2204') }}:
+      script: wget -nv https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/$(packageName)
+    ${{ if eq(parameters.os, 'almalinux8') }}:
+      script: wget -nv https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/$(packageName)
+- task: Bash@3
+  displayName: 'Extract aqlprofile'
+  inputs:
+    targetType: inline
+    workingDirectory: '$(Pipeline.Workspace)'
+    ${{ if eq(parameters.os, 'ubuntu2204') }}:
+      script: |
+        mkdir hsa-amd-aqlprofile
+        dpkg-deb -R $(packageName) hsa-amd-aqlprofile
+    ${{ if eq(parameters.os, 'almalinux8') }}:
+      script: |
+        mkdir hsa-amd-aqlprofile
+        sudo dnf -y install rpm-build cpio
+        rpm2cpio $(packageName) | (cd hsa-amd-aqlprofile && cpio -idmv)
+- task: Bash@3
+  displayName: 'Copy aqlprofile files'
   inputs:
     targetType: inline
-    workingDirectory: $(Agent.BuildDirectory)
     script: |
-      set -e
-      if [ "${{ parameters.os }}" = "ubuntu2204" ]; then
-        packageName=$(curl -s https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb") && \
-        wget -nv https://repo.radeon.com/rocm/apt/$(REPO_RADEON_VERSION)/pool/main/h/hsa-amd-aqlprofile/$packageName && \
-        mkdir -p hsa-amd-aqlprofile && \
-        dpkg-deb -R $packageName hsa-amd-aqlprofile
-      elif [ "${{ parameters.os }}" = "almalinux8" ]; then
-        sudo dnf -y install rpm-build cpio && \
-        packageName=$(curl -s https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/ | grep -oP "hsa-amd-aqlprofile-[^\"]+\.rpm" | head -n1) && \
-        wget -nv https://repo.radeon.com/rocm/rhel8/$(REPO_RADEON_VERSION)/main/$packageName && \
-        mkdir -p hsa-amd-aqlprofile && \
-        rpm2cpio $packageName | (cd hsa-amd-aqlprofile && cpio -idmv)
-      else
-        echo "Unsupported OS: ${{ parameters.os }}"
-        exit 1
-      fi && \
-      mkdir -p $(Agent.BuildDirectory)/rocm && \
-      cp -R hsa-amd-aqlprofile/opt/rocm-*/* $(Agent.BuildDirectory)/rocm && \
-      rm -rf hsa-amd-aqlprofile $packageName
+      mkdir -p $(Agent.BuildDirectory)/rocm
+      cp -R hsa-amd-aqlprofile/opt/rocm-*/* $(Agent.BuildDirectory)/rocm
+    workingDirectory: '$(Pipeline.Workspace)'
+- task: Bash@3
+  displayName: 'Clean up aqlprofile'
+  inputs:
+    targetType: inline
+    script: rm -rf hsa-amd-aqlprofile $(packageName)
+    workingDirectory: '$(Pipeline.Workspace)'

.azuredevops/templates/steps/dependencies-dnf.yml

@@ -54,13 +54,11 @@ parameters:
     libfftw3-dev: fftw-devel
     libfmt-dev: fmt-devel
     libgmp-dev: gmp-devel
-    liblapack-dev: lapack-devel
     liblzma-dev: xz-devel
     libmpfr-dev: mpfr-devel
     libmsgpack-dev: msgpack-devel
     libncurses5-dev: ncurses-devel
     libnuma-dev: numactl-devel
-    libopenblas-dev: openblas-devel
     libopenmpi-dev: openmpi-devel
     libpci-dev: libpciaccess-devel
     libssl-dev: openssl-devel
@@ -89,7 +87,6 @@ steps:
 - ${{ if eq(parameters.registerROCmPackages, true) }}:
   - task: Bash@3
     displayName: 'Register AMDGPU & ROCm repos (dnf)'
-    retryCountOnTaskFailure: 3
     inputs:
       targetType: inline
       script: |
@@ -110,13 +107,12 @@ steps:
         sudo dnf makecache
 - task: Bash@3
   displayName: 'Install base dnf packages'
-  retryCountOnTaskFailure: 3
   inputs:
     targetType: inline
     script: |
+      sudo dnf config-manager --set-enabled powertools
       # rpm fusion free repo for some dependencies
-      sudo dnf config-manager --set-enabled powertools && \
-      sudo dnf -y install https://download1.rpmfusion.org/free/el/rpmfusion-free-release-8.noarch.rpm && \
+      sudo dnf -y install https://download1.rpmfusion.org/free/el/rpmfusion-free-release-8.noarch.rpm
       sudo dnf -y install ${{ join(' ', parameters.basePackages) }}
 - task: Bash@3
   displayName: 'Check gcc environment'
@@ -130,7 +126,6 @@ steps:
       g++ -print-file-name=libstdc++.so
 - task: Bash@3
   displayName: 'Set python 3.11 as default'
-  retryCountOnTaskFailure: 3
   inputs:
     targetType: inline
     script: |
@@ -145,20 +140,18 @@ steps:
   - ${{ if eq(pkg, 'ninja-build') }}:
     - task: Bash@3
       displayName: 'Install ninja 1.11.1'
-      retryCountOnTaskFailure: 3
       inputs:
         targetType: inline
         script: |
-          sudo dnf -y install unzip && \
-          curl -LO https://github.com/ninja-build/ninja/releases/download/v1.11.1/ninja-linux.zip && \
-          unzip ninja-linux.zip && \
-          sudo mv ninja /usr/local/bin/ninja && \
-          sudo chmod +x /usr/local/bin/ninja && \
+          curl -LO https://github.com/ninja-build/ninja/releases/download/v1.11.1/ninja-linux.zip
+          sudo dnf -y install unzip
+          unzip ninja-linux.zip
+          sudo mv ninja /usr/local/bin/ninja
+          sudo chmod +x /usr/local/bin/ninja
           echo "##vso[task.prependpath]/usr/local/bin"
   - ${{ if ne(parameters.aptToDnfMap[pkg], '') }}:
     - task: Bash@3
       displayName: 'dnf install ${{ parameters.aptToDnfMap[pkg] }}'
-      retryCountOnTaskFailure: 3
       inputs:
         targetType: inline
         script: |

.azuredevops/templates/steps/dependencies-other.yml

@@ -27,7 +27,6 @@ steps:
 - ${{ if gt(length(parameters.pipModules), 0) }}:
   - task: Bash@3
     displayName: 'pip install  ...'
-    retryCountOnTaskFailure: 3
     inputs:
       targetType: inline
       script: python3 -m pip install -v --force-reinstall ${{ join(' ', parameters.pipModules) }}

.azuredevops/templates/steps/dependencies-rocm.yml

@@ -47,8 +47,8 @@ parameters:
       developBranch: aomp-dev
       hasGpuTarget: false
     clr:
-      pipelineId: 335
-      developBranch: develop
+      pipelineId: 145
+      developBranch: amd-staging
       hasGpuTarget: false
     composable_kernel:
       pipelineId: 86
@@ -59,12 +59,12 @@ parameters:
       developBranch: rocm
       hasGpuTarget: false
     HIP:
-      pipelineId: 335
-      developBranch: develop
+      pipelineId: 93
+      developBranch: amd-staging
       hasGpuTarget: false
     hip-tests:
-      pipelineId: 362
-      developBranch: develop
+      pipelineId: 233
+      developBranch: amd-staging
       hasGpuTarget: false
     hipBLAS:
       pipelineId: 317
@@ -171,16 +171,16 @@ parameters:
       developBranch: develop
       hasGpuTarget: false
     rocm-core:
-      pipelineId: 349
-      developBranch: develop
+      pipelineId: 103
+      developBranch: master
       hasGpuTarget: false
     rocm-examples:
       pipelineId: 216
       developBranch: amd-staging
       hasGpuTarget: true
     rocminfo:
-      pipelineId: 356
-      developBranch: develop
+      pipelineId: 91
+      developBranch: amd-staging
       hasGpuTarget: false
     rocMLIR:
       pipelineId: 229
@@ -195,19 +195,19 @@ parameters:
       developBranch: master
       hasGpuTarget: false
     rocm_smi_lib:
-      pipelineId: 358
-      developBranch: develop
+      pipelineId: 96
+      developBranch: amd-staging
       hasGpuTarget: false
     rocPRIM:
       pipelineId: 273
       developBranch: develop
       hasGpuTarget: true
     rocprofiler:
-      pipelineId: 329
-      developBranch: develop
+      pipelineId: 143
+      developBranch: amd-staging
       hasGpuTarget: true
     rocprofiler-compute:
-      pipelineId: 344
+      pipelineId: 257
       developBranch: develop
       hasGpuTarget: true
     rocprofiler-register:
@@ -215,8 +215,8 @@ parameters:
       developBranch: develop
       hasGpuTarget: false
     rocprofiler-sdk:
-      pipelineId: 347
-      developBranch: develop
+      pipelineId: 246
+      developBranch: amd-staging
       hasGpuTarget: true
     rocprofiler-systems:
       pipelineId: 255
@@ -227,8 +227,8 @@ parameters:
       developBranch: develop
       hasGpuTarget: true
     ROCR-Runtime:
-      pipelineId: 354
-      developBranch: develop
+      pipelineId: 10
+      developBranch: amd-staging
       hasGpuTarget: false
     rocRAND:
       pipelineId: 274
@@ -251,8 +251,8 @@ parameters:
       developBranch: develop
       hasGpuTarget: true
     roctracer:
-      pipelineId: 331
-      developBranch: develop
+      pipelineId: 141
+      developBranch: amd-staging
       hasGpuTarget: true
     rocWMMA:
       pipelineId: 109

.azuredevops/templates/steps/dependencies-vendor.yml

@@ -8,20 +8,15 @@ parameters:
   type: object
   default:
     boost: 250
-    catch2: 343
-    fmtlib: 341
     grpc: 72
     gtest: 73
     half560: 68
     lapack: 69
-    libdivide: 342
-    spdlog: 340
 
 steps:
 - ${{ each dependency in parameters.dependencyList }}:
   - task: DownloadPipelineArtifact@2
     displayName: Download ${{ dependency }}
-    retryCountOnTaskFailure: 3
     inputs:
       project: ROCm-CI
       buildType: specific
@@ -33,7 +28,7 @@ steps:
     inputs:
       archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
       destinationFolder: $(Agent.BuildDirectory)/vendor
-      cleanDestinationFolder: false
+      cleanDestinationFolder: true
       overwriteExistingFiles: true
   - task: DeleteFiles@1
     displayName: Clean up ${{ dependency }}

.azuredevops/templates/steps/local-artifact-download.yml

@@ -33,7 +33,6 @@ parameters:
 steps:
   - task: DownloadPipelineArtifact@2
     displayName: Download ${{ parameters.preTargetFilter}}*${{ parameters.os }}_${{ parameters.gpuTarget}}*${{ parameters.postTargetFilter}}
-    retryCountOnTaskFailure: 3
     inputs:
       ${{ if eq(parameters.buildType, 'specific') }}:
         buildType: specific

.azuredevops/templates/steps/miopen-get-ck-build.yml

@@ -7,7 +7,6 @@ steps:
 - task: Bash@3
   name: downloadCKBuild
   displayName: Download specific CK build
-  retryCountOnTaskFailure: 3
   env:
     CXX: $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
     CC: $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
@@ -70,29 +69,20 @@ steps:
 
       RETRIES=0
       MAX_RETRIES=5
-      SUCCESS=false
-      while [ $RETRIES -lt $MAX_RETRIES ]; do
-        wget -nv $ARTIFACT_URL -O $(System.ArtifactsDirectory)/ck.zip && \
-          unzip $(System.ArtifactsDirectory)/ck.zip -d $(System.ArtifactsDirectory) && \
-          mkdir -p $(Agent.BuildDirectory)/rocm && \
-          tar -zxvf $(System.ArtifactsDirectory)/composable_kernel*/*.tar.gz -C $(Agent.BuildDirectory)/rocm && \
-          rm -r $(System.ArtifactsDirectory)/ck.zip $(System.ArtifactsDirectory)/composable_kernel*
-
-        if [ $? -eq 0 ]; then
-          SUCCESS=true
-          echo "Successfully downloaded CK."
-          break
-        else
-          RETRIES=$((RETRIES + 1))
-          echo "Failed to download CK on attempt $RETRIES/$MAX_RETRIES, retrying..."
-          sleep 1
+      until wget -nv $ARTIFACT_URL -O $(System.ArtifactsDirectory)/ck.zip; do
+        RETRIES=$((RETRIES+1))
+        if [[ $RETRIES -ge $MAX_RETRIES ]]; then
+          echo "Failed to download CK artifact after $MAX_RETRIES attempts."
+          exit 1
         fi
+        echo "Download failed, retrying ($RETRIES/$MAX_RETRIES)..."
+        sleep 5
       done
 
-      if [ "$SUCCESS" = false ]; then
-        echo "ERROR: failed to download CK after $MAX_RETRIES attempts."
-        exit 1
-      fi
+      unzip $(System.ArtifactsDirectory)/ck.zip -d $(System.ArtifactsDirectory)
+      mkdir -p $(Agent.BuildDirectory)/rocm
+      tar -zxvf $(System.ArtifactsDirectory)/composable_kernel*/*.tar.gz -C $(Agent.BuildDirectory)/rocm
+      rm -r $(System.ArtifactsDirectory)/ck.zip $(System.ArtifactsDirectory)/composable_kernel*
 
       if [[ $EXIT_CODE -ne 0 ]]; then
         BUILD_COMMIT=$(curl -s $AZ_API/build/builds/$CK_BUILD_ID | jq '.sourceVersion' | tr -d '"')

.azuredevops/variables-global.yml

@@ -28,13 +28,13 @@ variables:
 - name: GFX90A_TEST_POOL
   value: gfx90a_test_pool
 - name: LATEST_RELEASE_VERSION
-  value: 6.4.3
+  value: 6.4.2
 - name: REPO_RADEON_VERSION
-  value: 6.4.3
+  value: 6.4.2
 - name: NEXT_RELEASE_VERSION
   value: 7.0.0
 - name: LATEST_RELEASE_TAG
-  value: rocm-6.4.3
+  value: rocm-6.4.2
 - name: DOCKER_SKIP_GFX
   value: gfx90a
 - name: COMPOSABLE_KERNEL_PIPELINE_ID

.wordlist.txt

@@ -43,7 +43,6 @@ Blit
 Blockwise
 Bluefield
 Bootloader
-Broadcom
 CAS
 CCD
 CDNA
@@ -63,7 +62,6 @@ CPU
 CPUs
 Cron
 CSC
-CSDATA
 CSE
 CSV
 CSn
@@ -73,7 +71,6 @@ CU
 CUDA
 CUs
 CXX
-CX
 Cavium
 CentOS
 ChatGPT
@@ -84,7 +81,6 @@ CommonMark
 Concretized
 Conda
 ConnectX
-CountOnes
 CuPy
 da
 Dashboarding
@@ -101,7 +97,6 @@ DIMM
 DKMS
 DL
 DMA
-DOMContentLoaded
 DNN
 DNNL
 DPM
@@ -120,8 +115,6 @@ Dependabot
 Deprecations
 DevCap
 DirectX
-Disaggregated
-disaggregated
 Dockerfile
 Dockerized
 Doxygen
@@ -131,10 +124,8 @@ ENDPGM
 EPYC
 ESXi
 EoS
-etcd
 fas
 FBGEMM
-FIFOs
 FFT
 FFTs
 FFmpeg
@@ -147,8 +138,6 @@ Filesystem
 FindDb
 Flang
 FlashAttention
-FlashInfer’s
-FlashInfer
 FluxBenchmark
 Fortran
 Fuyu
@@ -185,7 +174,6 @@ GPUs
 Graphbolt
 GraphSage
 GRBM
-GRE
 GenAI
 GenZ
 GitHub
@@ -213,7 +201,6 @@ Higgs
 href
 Hyperparameters
 Huggingface
-IB
 ICD
 ICT
 ICV
@@ -222,11 +209,8 @@ IDEs
 IFWI
 IMDb
 IncDec
-instrSize
-interpolators
 IOMMU
 IOP
-IOPS
 IOPM
 IOV
 IRQ
@@ -243,7 +227,6 @@ Intersphinx
 Intra
 Ioffe
 JAX's
-JAXLIB
 Jinja
 JSON
 Jupyter
@@ -264,15 +247,12 @@ LLM
 LLMs
 LLVM
 LM
-LRU
 LSAN
 LSan
 LTS
 LSTMs
-LteAll
 LanguageCrossEntropy
 LoRA
-MECO
 MEM
 MERCHANTABILITY
 MFMA
@@ -291,7 +271,6 @@ MNIST
 MPI
 MPT
 MSVC
-mul
 MVAPICH
 MVFFR
 Makefile
@@ -310,11 +289,9 @@ MirroredStrategy
 Mixtral
 MosaicML
 MoEs
-Mooncake
 Mpops
 Multicore
 Multithreaded
-MXFP
 MyEnvironment
 MyST
 NANOO
@@ -372,11 +349,9 @@ PCC
 PCI
 PCIe
 PEFT
-perf
 PEQT
 PIL
 PILImage
-PJRT
 POR
 PRNG
 PRs
@@ -457,9 +432,7 @@ SKU
 SKUs
 SLES
 SLURM
-Slurm
 SMEM
-SMFMA
 SMI
 SMT
 SPI
@@ -471,24 +444,18 @@ SWE
 SerDes
 ShareGPT
 Shlens
-simd
 Skylake
 Softmax
 Spack
 SplitK
 Supermicro
 Szegedy
-TagRAM
 TCA
 TCC
-TCCs
 TCI
 TCIU
 TCP
 TCR
-TVM
-THREADGROUPS
-threadgroups
 TensorRT
 TensorFloat
 TF
@@ -530,7 +497,6 @@ UltraChat
 Uncached
 Unittests
 Unhandled
-unwindowed
 VALU
 VBIOS
 VCN
@@ -547,13 +513,11 @@ Vanhoucke
 Vulkan
 WGP
 WGPs
-WR
 WX
 WikiText
 Wojna
 Workgroups
 Writebacks
-xcc
 XCD
 XCDs
 XGBoost
@@ -574,7 +538,6 @@ ZenDNN
 accuracies
 activations
 addr
-addEventListener
 ade
 ai
 alloc
@@ -590,7 +553,6 @@ autogenerated
 autotune
 avx
 awk
-az
 backend
 backends
 bb
@@ -608,7 +570,6 @@ boson
 bosons
 br
 BrainFloat
-btn
 buildable
 bursty
 bzip
@@ -620,21 +581,18 @@ centric
 changelog
 checkpointing
 chiplet
-classList
 cmake
 cmd
 coalescable
 codename
 collater
 comgr
-compat
 completers
 composable
 concretization
 config
 configs
 conformant
-const
 constructible
 convolutional
 convolves
@@ -698,7 +656,6 @@ exascale
 executables
 ffmpeg
 filesystem
-forEach
 fortran
 fp
 framebuffer
@@ -707,14 +664,12 @@ galb
 gcc
 gdb
 gemm
-getAttribute
 gfortran
 gfx
 githooks
 github
 globals
 gnupg
-gpu
 grayscale
 gx
 gzip
@@ -769,7 +724,6 @@ invariants
 invocating
 ipo
 jax
-json
 kdb
 kfd
 kv
@@ -791,7 +745,6 @@ lossy
 macOS
 matchers
 maxtext
-megablocks
 megatron
 microarchitecture
 migraphx
@@ -820,7 +773,6 @@ opencv
 openmp
 openssl
 optimizers
-ol
 os
 oversubscription
 pageable
@@ -868,8 +820,6 @@ recommenders
 quantile
 quantizer
 quasirandom
-querySelector
-querySelectorAll
 queueing
 qwen
 radeon
@@ -888,8 +838,6 @@ req
 resampling
 rescaling
 reusability
-rhel
-rl
 RLHF
 roadmap
 roc
@@ -934,23 +882,19 @@ scalability
 scalable
 scipy
 seealso
-selectedTag
 sendmsg
 seqs
 serializers
-setAttribute
 sglang
 shader
 sharding
 sigmoid
-sles
 sm
 smi
 softmax
 spack
 spmm
 src
-stanford
 stochastically
 strided
 subcommand
@@ -967,10 +911,8 @@ symlink
 symlinks
 sys
 tabindex
-targetContainer
 td
 tensorfloat
-tf
 th
 tokenization
 tokenize
@@ -983,7 +925,6 @@ toolset
 toolsets
 torchtitan
 torchvision
-tp
 tqdm
 tracebacks
 txt

default.xml

@@ -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-7.0.1"
+    <default revision="refs/tags/rocm-6.4.2"
      remote="rocm-org"
      sync-c="true"
      sync-j="4" />
@@ -9,7 +9,6 @@
     <project name="ROCK-Kernel-Driver" />
     <project name="ROCR-Runtime" />
     <project name="amdsmi" />
-    <project name="aqlprofile" />
     <project name="rdc" />
     <project name="rocm_bandwidth_test" />
     <project name="rocm_smi_lib" />
@@ -23,7 +22,7 @@
     <project name="rocprofiler-systems" />
     <project name="roctracer" />
 <!--HIP Projects-->
-    <project name="hip" />
+    <project name="HIP" />
     <project name="hip-tests" />
     <project name="HIPIFY" />
     <project name="clr" />
@@ -38,26 +37,36 @@
     <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" />
-    <!-- The following components have been migrated to rocm-libraries:
-        hipBLAS-common hipBLAS hipBLASLt hipCUB
-        hipFFT hipRAND hipSPARSE hipSPARSELt
-        MIOpen rocBLAS rocFFT rocPRIM rocRAND
-        rocSPARSE rocThrust Tensile -->
-    <project groups="mathlibs" name="rocm-libraries" />
     <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" />

docs/about/license.md

@@ -29,7 +29,6 @@ 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](https://github.com/rocm/aqlprofile/) | [MIT](https://github.com/ROCm/aqlprofile/blob/amd-staging/LICENSE.md) |
 | [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) |
@@ -47,6 +46,7 @@ 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) |
@@ -132,10 +132,12 @@ companies.
 ### Package licensing
 
 :::{attention}
-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
+AQL Profiler and AOCC CPU optimization are both provided in binary form, each
+subject to the license agreement enclosed in the directory for the binary available
+in `/opt/rocm/share/doc/hsa-amd-aqlprofile/EULA`. By using, installing,
+copying or distributing AQL Profiler and/or AOCC CPU Optimizations, you agree to
 the terms and conditions of this license agreement. If you do not agree to the
-terms of this agreement, do not install, copy or use ROCprof Trace Decoder or the
+terms of this agreement, do not install, copy or use the AQL Profiler and/or the
 AOCC CPU Optimizations.
 :::
 

docs/compatibility/compatibility-matrix-historical-6.0.csv

@@ -1,136 +1,132 @@
-ROCm Version,7.0.1/7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.3,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
-      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
-      ,,,,,,,,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
-      ,"RHEL 9.6, 9.4","RHEL 9.6, 9.4","RHEL 9.6, 9.4","RHEL 9.6, 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
-      ,RHEL 8.10 [#rhel-700-past-60]_,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
-      ,SLES 15 SP7 [#sles-db-700-past-60]_,"SLES 15 SP7, SP6","SLES 15 SP7, SP6",SLES 15 SP6,SLES 15 SP6,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
-      ,,,,,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
-      ,"Oracle Linux 9, 8 [#ol-700-mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
-      ,Debian 12 [#sles-db-700-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
-      ,Azure Linux 3.0 [#az-mi300x-past-60]_,Azure Linux 3.0 [#az-mi300x-past-60]_,Azure Linux 3.0 [#az-mi300x-past-60]_,Azure Linux 3.0 [#az-mi300x-past-60]_,Azure Linux 3.0 [#az-mi300x-past-60]_,Azure Linux 3.0 [#az-mi300x-630-past-60]_,Azure Linux 3.0 [#az-mi300x-630-past-60]_,,,,,,,,,,,,
-,Rocky Linux 9 [#rl-700-past-60]_,,,,,,,,,,,,,,,,,,
-      ,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA4,,,,,,,,,,,,,,,,,,
-,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
-      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
-      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
-      ,RDNA4,RDNA4,RDNA4,RDNA4,,,,,,,,,,,,,,,
-      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
-      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
-      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx950 [#mi350x-os-past-60]_,,,,,,,,,,,,,,,,,,
-,gfx1201 [#RDNA-OS-700-past-60]_,gfx1201 [#RDNA-OS-past-60]_,gfx1201 [#RDNA-OS-past-60]_,gfx1201 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
-      ,gfx1200 [#RDNA-OS-700-past-60]_,gfx1200 [#RDNA-OS-past-60]_,gfx1200 [#RDNA-OS-past-60]_,gfx1200 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
-,gfx1101 [#RDNA-OS-700-past-60]_ [#rd-v710-past-60]_,gfx1101 [#RDNA-OS-past-60]_ [#7700XT-OS-past-60]_,gfx1101 [#RDNA-OS-past-60]_ [#7700XT-OS-past-60]_,gfx1101 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
-      ,gfx1100 [#RDNA-OS-700-past-60]_,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
-      ,gfx1030 [#RDNA-OS-700-past-60]_ [#rd-v620-past-60]_,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
-      ,gfx942 [#mi325x-os-past-60]_ [#mi300x-os-past-60]_ [#mi300A-os-past-60]_,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
-      ,gfx90a [#mi200x-os-past-60]_,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
-      ,gfx908 [#mi100-os-past-60]_,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
-,,,,,,,,,,,,,,,,,,,
-      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.7, 2.6, 2.5","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.6, 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>`,"2.19.1, 2.18.1, 2.17.1 [#tf-mi350-past-60]_","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","2.18.1, 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>`,0.6.0,0.4.35,0.4.35,0.4.35,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
-      :doc:`verl <../compatibility/ml-compatibility/verl-compatibility>` [#verl_compat-past-60]_,N/A,N/A,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,N/A
-      :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat-past-60]_,N/A,N/A,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,N/A
-      :doc:`DGL <../compatibility/ml-compatibility/dgl-compatibility>` [#dgl_compat-past-60]_,N/A,N/A,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,N/A
-      :doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>` [#megablocks_compat-past-60]_,N/A,N/A,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,N/A
-      :doc:`Ray <../compatibility/ml-compatibility/ray-compatibility>` [#ray_compat-past-60]_,N/A,N/A,N/A,2.48.0.post0,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,N/A
-      :doc:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>` [#llama-cpp_compat-past-60]_,b6356,b6356,b6356,b6356,b5997,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:`FlashInfer <../compatibility/ml-compatibility/flashinfer-compatibility>` [#flashinfer_compat-past-60]_,N/A,N/A,N/A,v0.2.5,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,N/A
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.22.0,1.20.0,1.20.0,1.20.0,1.20.0,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
-,,,,,,,,,,,,,,,,,,,
-      ,,,,,,,,,,,,,,,,,,,
-      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      `UCC <https://github.com/ROCm/ucc>`_,>=1.4.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
-      `UCX <https://github.com/ROCm/ucx>`_,>=1.17.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
-      ,,,,,,,,,,,,,,,,,,,
-      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      Thrust,2.6.0,2.5.0,2.5.0,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-      CUB,2.6.0,2.5.0,2.5.0,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-,,,,,,,,,,,,,,,,,,,
-     DRIVER & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`AMD GPU Driver <rocm-install-on-linux:reference/user-kernel-space-compat-matrix>`,"30.10.1 [#driver_patch-past-60]_, 30.10, 6.4.x, 6.3.x, 6.2.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
-      ,,,,,,,,,,,,,,,,,,,
-      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
-      :doc:`MIGraphX <amdmigraphx:index>`,2.13.0,2.12.0,2.12.0,2.12.0,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
-      :doc:`MIOpen <miopen:index>`,3.5.0,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`MIVisionX <mivisionx:index>`,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
-      :doc:`rocAL <rocal:index>`,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`rocDecode <rocdecode:index>`,1.0.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
-      :doc:`rocJPEG <rocjpeg:index>`,1.1.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`rocPyDecode <rocpydecode:index>`,0.6.0,0.3.1,0.3.1,0.3.1,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`RPP <rpp:index>`,2.0.0,1.9.10,1.9.10,1.9.10,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
-      ,,,,,,,,,,,,,,,,,,,
-      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`RCCL <rccl:index>`,2.26.6,2.22.3,2.22.3,2.22.3,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
-      :doc:`rocSHMEM <rocshmem:index>`,3.0.0,2.0.1,2.0.1,2.0.0,2.0.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      ,,,,,,,,,,,,,,,,,,,
-      MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,3.0.0,2.4.0,2.4.0,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
-      :doc:`hipBLASLt <hipblaslt:index>`,1.0.0,0.12.1,0.12.1,0.12.1,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
-      :doc:`hipFFT <hipfft:index>`,1.0.20,1.0.18,1.0.18,1.0.18,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
-      :doc:`hipfort <hipfort:index>`,0.7.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
-      :doc:`hipRAND <hiprand:index>`,3.0.0,2.12.0,2.12.0,2.12.0,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
-      :doc:`hipSOLVER <hipsolver:index>`,3.0.0,2.4.0,2.4.0,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
-      :doc:`hipSPARSE <hipsparse:index>`,4.0.1,3.2.0,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.4,0.2.3,0.2.3,0.2.3,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
-      :doc:`rocALUTION <rocalution:index>`,4.0.0,3.2.3,3.2.3,3.2.3,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
-      :doc:`rocBLAS <rocblas:index>`,5.0.0,4.4.1,4.4.1,4.4.0,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
-      :doc:`rocFFT <rocfft:index>`,1.0.34,1.0.32,1.0.32,1.0.32,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
-      :doc:`rocRAND <rocrand:index>`,4.0.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
-      :doc:`rocSOLVER <rocsolver:index>`,3.30.0,3.28.2,3.28.2,3.28.0,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
-      :doc:`rocSPARSE <rocsparse:index>`,4.0.2,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
-      :doc:`rocWMMA <rocwmma:index>`,2.0.0,1.7.0,1.7.0,1.7.0,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
-      :doc:`Tensile <tensile:src/index>`,4.44.0,4.43.0,4.43.0,4.43.0,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
-      ,,,,,,,,,,,,,,,,,,,
-      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`hipCUB <hipcub:index>`,4.0.0,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`hipTensor <hiptensor:index>`,2.0.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
-      :doc:`rocPRIM <rocprim:index>`,4.0.0,3.4.1,3.4.1,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`rocThrust <rocthrust:index>`,4.0.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      ,,,,,,,,,,,,,,,,,,,
-      SUPPORT LIBS,,,,,,,,,,,,,,,,,,,
-      `hipother <https://github.com/ROCm/hipother>`_,7.0.51830,6.4.43483,6.4.43483,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,7.0.1/7.0.0,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
-      ,,,,,,,,,,,,,,,,,,,
-      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`AMD SMI <amdsmi:index>`,26.0.0,25.5.1,25.5.1,25.4.2,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
-      :doc:`ROCm Data Center Tool <rdc:index>`,1.1.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
-      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.8.0,7.7.0,7.5.0,7.5.0,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.2.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
-      ,,,,,,,,,,,,,,,,,,,
-      PERFORMANCE TOOLS,,,,,,,,,,,,,,,,,,,
-      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,2.6.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.2.3,3.1.1,3.1.1,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.1.0,1.0.2,1.0.2,1.0.1,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.70000,2.0.60403,2.0.60402,2.0.60401,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,1.0.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCTracer <roctracer:index>`,4.1.70000,4.1.60403,4.1.60402,4.1.60401,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
-      ,,,,,,,,,,,,,,,,,,,
-      DEVELOPMENT TOOLS,,,,,,,,,,,,,,,,,,,
-      :doc:`HIPIFY <hipify:index>`,20.0.0,19.0.0,19.0.0,19.0.0,19.0.0,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.3,0.77.2,0.77.2,0.77.2,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,16.3.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.1.0,2.0.4,2.0.4,2.0.4,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
-      ,,,,,,,,,,,,,,,,,,,
-      COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
-      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      `Flang <https://github.com/ROCm/flang>`_,20.0.0.25314,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`llvm-project <llvm-project:index>`,20.0.0.25314,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,20.0.0.25314,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-,,,,,,,,,,,,,,,,,,,
-      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,7.0.51830,6.4.43484,6.4.43484,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      :doc:`HIP <hip:index>`,7.0.51830,6.4.43484,6.4.43484,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
-      :doc:`ROCr Runtime <rocr-runtime:index>`,1.18.0,1.15.0,1.15.0,1.15.0,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0
+ROCm Version,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
+      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
+      ,,,,,,,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
+      ,"RHEL 9.6, 9.4","RHEL 9.6, 9.4","RHEL 9.6, 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
+      ,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
+      ,"SLES 15 SP7, SP6","SLES 15 SP7, SP6",SLES 15 SP6,SLES 15 SP6,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
+      ,,,,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
+      ,"Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
+      ,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
+      ,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,,,,,,,,,,,,
+      ,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
+      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
+      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
+      ,RDNA4,RDNA4,RDNA4,,,,,,,,,,,,,,,
+      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
+      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
+      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201 [#RDNA-OS-past-60]_,gfx1201 [#RDNA-OS-past-60]_,gfx1201 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
+      ,gfx1200 [#RDNA-OS-past-60]_,gfx1200 [#RDNA-OS-past-60]_,gfx1200 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
+,gfx1101 [#RDNA-OS-past-60]_ [#7700XT-OS-past-60]_,gfx1101 [#RDNA-OS-past-60]_ [#7700XT-OS-past-60]_,gfx1101 [#RDNA-OS-past-60]_,,,,,,,,,,,,,,,
+      ,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
+      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
+      ,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
+      ,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
+      ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
+,,,,,,,,,,,,,,,,,,
+      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.6, 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","2.18.1, 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>`,0.4.35,0.4.35,0.4.35,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
+      :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,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,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,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,N/A,0.7.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`Ray <../compatibility/ml-compatibility/ray-compatibility>` [#ray_compat]_,N/A,N/A,2.48.0.post0,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:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>` [#llama-cpp_compat]_,N/A,N/A,N/A,b5997,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
+      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.2,1.2,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
+,,,,,,,,,,,,,,,,,,
+      ,,,,,,,,,,,,,,,,,,
+      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
+      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
+      ,,,,,,,,,,,,,,,,,,
+      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      Thrust,2.5.0,2.5.0,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+      CUB,2.5.0,2.5.0,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+,,,,,,,,,,,,,,,,,,
+      KMD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`KMD versions <rocm-install-on-linux:reference/user-kernel-space-compat-matrix>`,"6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
+      ,,,,,,,,,,,,,,,,,,
+      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
+      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.12.0,2.12.0,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
+      :doc:`MIOpen <miopen:index>`,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
+      :doc:`rocAL <rocal:index>`,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
+      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.3.1,0.3.1,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`RPP <rpp:index>`,1.9.10,1.9.10,1.9.10,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
+      ,,,,,,,,,,,,,,,,,,
+      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`RCCL <rccl:index>`,2.22.3,2.22.3,2.22.3,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
+      :doc:`rocSHMEM <rocshmem:index>`,2.0.1,2.0.1,2.0.0,2.0.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
+      ,,,,,,,,,,,,,,,,,,
+      MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
+      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.4.0,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.12.1,0.12.1,0.12.1,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
+      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.18,1.0.18,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
+      :doc:`hipfort <hipfort:index>`,0.6.0,0.6.0,0.6.0,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
+      :doc:`hipRAND <hiprand:index>`,2.12.0,2.12.0,2.12.0,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
+      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.4.0,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.3,0.2.3,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
+      :doc:`rocALUTION <rocalution:index>`,3.2.3,3.2.3,3.2.3,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
+      :doc:`rocBLAS <rocblas:index>`,4.4.1,4.4.1,4.4.0,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
+      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.32,1.0.32,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
+      :doc:`rocRAND <rocrand:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
+      :doc:`rocSOLVER <rocsolver:index>`,3.28.2,3.28.2,3.28.0,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
+      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.7.0,1.7.0,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
+      :doc:`Tensile <tensile:src/index>`,4.43.0,4.43.0,4.43.0,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
+      ,,,,,,,,,,,,,,,,,,
+      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`hipCUB <hipcub:index>`,3.4.0,3.4.0,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
+      :doc:`rocPRIM <rocprim:index>`,3.4.1,3.4.1,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      ,,,,,,,,,,,,,,,,,,
+      SUPPORT LIBS,,,,,,,,,,,,,,,,,,
+      `hipother <https://github.com/ROCm/hipother>`_,6.4.43483,6.4.43483,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.3,6.4.2,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
+      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
+      ,,,,,,,,,,,,,,,,,,
+      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`AMD SMI <amdsmi:index>`,25.5.1,25.5.1,25.4.2,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
+      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
+      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.7.0,7.5.0,7.5.0,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
+      ,,,,,,,,,,,,,,,,,,
+      PERFORMANCE TOOLS,,,,,,,,,,,,,,,,,,
+      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
+      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.1,3.1.1,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.2,1.0.2,1.0.1,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60403,2.0.60402,2.0.60401,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCTracer <roctracer:index>`,4.1.60403,4.1.60402,4.1.60401,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
+      ,,,,,,,,,,,,,,,,,,
+      DEVELOPMENT TOOLS,,,,,,,,,,,,,,,,,,
+      :doc:`HIPIFY <hipify:index>`,19.0.0,19.0.0,19.0.0,19.0.0,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
+      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.2,0.77.2,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
+      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
+      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.4,2.0.4,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
+      ,,,,,,,,,,,,,,,,,,
+      COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
+      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`llvm-project <llvm-project:index>`,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25224,19.0.0.25224,19.0.0.25184,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+,,,,,,,,,,,,,,,,,,
+      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,,,
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43484,6.4.43484,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      :doc:`HIP <hip:index>`,6.4.43484,6.4.43484,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
+      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.15.0,1.15.0,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0

docs/compatibility/compatibility-matrix.rst

@@ -11,9 +11,9 @@ Use this matrix to view the ROCm compatibility and system requirements across su
 You can also refer to the :ref:`past versions of ROCm compatibility matrix<past-rocm-compatibility-matrix>`.
 
 Accelerators and GPUs listed in the following table support compute workloads (no display
-information or graphics). If you’re using ROCm with AMD Radeon GPUs or Ryzen APUs for graphics
-workloads, see the `Use ROCm on Radeon and Ryzen
-<https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/index.html>`_ to verify
+information or graphics). If you’re using ROCm with AMD Radeon or Radeon Pro GPUs for graphics
+workloads, see the `Use ROCm on Radeon GPU documentation
+<https://rocm.docs.amd.com/projects/radeon/en/latest/docs/compatibility.html>`_ to verify
 compatibility and system requirements.
 
 .. |br| raw:: html
@@ -23,163 +23,142 @@ compatibility and system requirements.
 .. container:: format-big-table
 
   .. csv-table::
-      :header: "ROCm Version", "7.0.1/7.0.0", "6.4.3", "6.3.0"
+      :header: "ROCm Version", "6.4.3", "6.4.2", "6.3.0"
       :stub-columns: 1
 
-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.3,Ubuntu 24.04.2,Ubuntu 24.04.2
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2
       ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5
       ,"RHEL 9.6, 9.4","RHEL 9.6, 9.4","RHEL 9.5, 9.4"
-      ,RHEL 8.10 [#rhel-700]_,RHEL 8.10,RHEL 8.10
-      ,SLES 15 SP7 [#sles-db-700]_,"SLES 15 SP7, SP6","SLES 15 SP6, SP5"
-      ,"Oracle Linux 9, 8 [#ol-700-mi300x]_","Oracle Linux 9, 8 [#ol-mi300x]_",Oracle Linux 8.10 [#ol-mi300x]_
-      ,Debian 12 [#sles-db-700]_,Debian 12 [#single-node]_,
-      ,Azure Linux 3.0 [#az-mi300x]_,Azure Linux 3.0 [#az-mi300x]_,
-      ,Rocky Linux 9 [#rl-700]_,,
+      ,RHEL 8.10,RHEL 8.10,RHEL 8.10
+      ,"SLES 15 SP7, SP6","SLES 15 SP7, SP6","SLES 15 SP6, SP5"
+      ,"Oracle Linux 9, 8 [#mi300x]_","Oracle Linux 9, 8 [#mi300x]_",Oracle Linux 8.10 [#mi300x]_
+      ,Debian 12 [#single-node]_,Debian 12 [#single-node]_,
+      ,Azure Linux 3.0 [#mi300x]_,Azure Linux 3.0 [#mi300x]_,
       ,.. _architecture-support-compatibility-matrix:,,
-      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA4,,
-      ,CDNA3,CDNA3,CDNA3
+      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3
       ,CDNA2,CDNA2,CDNA2
       ,CDNA,CDNA,CDNA
       ,RDNA4,RDNA4,
       ,RDNA3,RDNA3,RDNA3
       ,RDNA2,RDNA2,RDNA2
       ,.. _gpu-support-compatibility-matrix:,,
-      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx950 [#mi350x-os]_,,
-      ,gfx1201 [#RDNA-OS-700]_,gfx1201 [#RDNA-OS]_,
-      ,gfx1200 [#RDNA-OS-700]_,gfx1200 [#RDNA-OS]_,
-      ,gfx1101 [#RDNA-OS-700]_ [#rd-v710]_,gfx1101 [#RDNA-OS]_ [#7700XT-OS]_,
-      ,gfx1100 [#RDNA-OS-700]_,gfx1100,gfx1100
-      ,gfx1030 [#RDNA-OS-700]_ [#rd-v620]_,gfx1030,gfx1030
-      ,gfx942 [#mi325x-os]_ [#mi300x-os]_ [#mi300A-os]_,gfx942,gfx942
-      ,gfx90a [#mi200x-os]_,gfx90a,gfx90a
-      ,gfx908 [#mi100-os]_,gfx908,gfx908
+      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1201 [#RDNA-OS]_,gfx1201 [#RDNA-OS]_,
+      ,gfx1200 [#RDNA-OS]_,gfx1200 [#RDNA-OS]_,
+      ,gfx1101 [#RDNA-OS]_ [#7700XT-OS]_,gfx1101 [#RDNA-OS]_ [#7700XT-OS]_,
+      ,gfx1100,gfx1100,gfx1100
+      ,gfx1030,gfx1030,gfx1030
+      ,gfx942,gfx942,gfx942
+      ,gfx90a,gfx90a,gfx90a
+      ,gfx908,gfx908,gfx908
       ,,,
       FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.7, 2.6, 2.5","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 2.1, 2.0, 1.13"
-      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.19.1, 2.18.1, 2.17.1 [#tf-mi350]_","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>`,0.6.0,0.4.35,0.4.31
-      :doc:`Stanford Megatron-LM <../compatibility/ml-compatibility/stanford-megatron-lm-compatibility>` [#stanford-megatron-lm_compat]_,N/A,N/A,85f95ae
-      :doc:`Megablocks <../compatibility/ml-compatibility/megablocks-compatibility>` [#megablocks_compat]_,N/A,N/A,0.7.0
-      :doc:`llama.cpp <../compatibility/ml-compatibility/llama-cpp-compatibility>` [#llama-cpp_compat]_,b6356,b6356,N/A
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.22.0,1.20.0,1.17.3
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 2.1, 2.0, 1.13"
+      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.18.1, 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
+      `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:,,
-      `UCC <https://github.com/ROCm/ucc>`_,>=1.4.0,>=1.3.0,>=1.3.0
-      `UCX <https://github.com/ROCm/ucx>`_,>=1.17.0,>=1.15.0,>=1.15.0
+      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0
+      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0
       ,,,
       THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix:,,
-      Thrust,2.6.0,2.5.0,2.3.2
-      CUB,2.6.0,2.5.0,2.3.2
+      Thrust,2.5.0,2.5.0,2.3.2
+      CUB,2.5.0,2.5.0,2.3.2
       ,,,
-      DRIVER & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
-      :doc:`AMD GPU Driver <rocm-install-on-linux:reference/user-kernel-space-compat-matrix>`,"30.10.1 [#driver_patch]_, 30.10, 6.4.x, 6.3.x, 6.2.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x"
+      KMD & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
+      :doc:`KMD versions <rocm-install-on-linux:reference/user-kernel-space-compat-matrix>`,"6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x"
       ,,,
       ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix:,,
       :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0
-      :doc:`MIGraphX <amdmigraphx:index>`,2.13.0,2.12.0,2.11.0
-      :doc:`MIOpen <miopen:index>`,3.5.0,3.4.0,3.3.0
-      :doc:`MIVisionX <mivisionx:index>`,3.3.0,3.2.0,3.1.0
-      :doc:`rocAL <rocal:index>`,2.3.0,2.2.0,2.1.0
-      :doc:`rocDecode <rocdecode:index>`,1.0.0,0.10.0,0.8.0
-      :doc:`rocJPEG <rocjpeg:index>`,1.1.0,0.8.0,0.6.0
-      :doc:`rocPyDecode <rocpydecode:index>`,0.6.0,0.3.1,0.2.0
-      :doc:`RPP <rpp:index>`,2.0.0,1.9.10,1.9.1
+      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.12.0,2.11.0
+      :doc:`MIOpen <miopen:index>`,3.4.0,3.4.0,3.3.0
+      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.2.0,3.1.0
+      :doc:`rocAL <rocal:index>`,2.2.0,2.2.0,2.1.0
+      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.10.0,0.8.0
+      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.8.0,0.6.0
+      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.3.1,0.2.0
+      :doc:`RPP <rpp:index>`,1.9.10,1.9.10,1.9.1
       ,,,
       COMMUNICATION,.. _commlibs-support-compatibility-matrix:,,
-      :doc:`RCCL <rccl:index>`,2.26.6,2.22.3,2.21.5
-      :doc:`rocSHMEM <rocshmem:index>`,3.0.0,2.0.1,N/A
+      :doc:`RCCL <rccl:index>`,2.22.3,2.22.3,2.21.5
+      :doc:`rocSHMEM <rocshmem:index>`,2.0.1,2.0.1,N/A
       ,,,
       MATH LIBS,.. _mathlibs-support-compatibility-matrix:,,
       `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,3.0.0,2.4.0,2.3.0
-      :doc:`hipBLASLt <hipblaslt:index>`,1.0.0,0.12.1,0.10.0
-      :doc:`hipFFT <hipfft:index>`,1.0.20,1.0.18,1.0.17
-      :doc:`hipfort <hipfort:index>`,0.7.0,0.6.0,0.5.0
-      :doc:`hipRAND <hiprand:index>`,3.0.0,2.12.0,2.11.0
-      :doc:`hipSOLVER <hipsolver:index>`,3.0.0,2.4.0,2.3.0
-      :doc:`hipSPARSE <hipsparse:index>`,4.0.1,3.2.0,3.1.2
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.4,0.2.3,0.2.2
-      :doc:`rocALUTION <rocalution:index>`,4.0.0,3.2.3,3.2.1
-      :doc:`rocBLAS <rocblas:index>`,5.0.0,4.4.1,4.3.0
-      :doc:`rocFFT <rocfft:index>`,1.0.34,1.0.32,1.0.31
-      :doc:`rocRAND <rocrand:index>`,4.0.0,3.3.0,3.2.0
-      :doc:`rocSOLVER <rocsolver:index>`,3.30.0,3.28.2,3.27.0
-      :doc:`rocSPARSE <rocsparse:index>`,4.0.2,3.4.0,3.3.0
-      :doc:`rocWMMA <rocwmma:index>`,2.0.0,1.7.0,1.6.0
-      :doc:`Tensile <tensile:src/index>`,4.44.0,4.43.0,4.42.0
+      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.4.0,2.3.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.12.1,0.12.1,0.10.0
+      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.18,1.0.17
+      :doc:`hipfort <hipfort:index>`,0.6.0,0.6.0,0.5.0
+      :doc:`hipRAND <hiprand:index>`,2.12.0,2.12.0,2.11.0
+      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.4.0,2.3.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.2.0,3.1.2
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.3,0.2.2
+      :doc:`rocALUTION <rocalution:index>`,3.2.3,3.2.3,3.2.1
+      :doc:`rocBLAS <rocblas:index>`,4.4.1,4.4.1,4.3.0
+      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.32,1.0.31
+      :doc:`rocRAND <rocrand:index>`,3.3.0,3.3.0,3.2.0
+      :doc:`rocSOLVER <rocsolver:index>`,3.28.2,3.28.2,3.27.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.4.0,3.3.0
+      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.7.0,1.6.0
+      :doc:`Tensile <tensile:src/index>`,4.43.0,4.43.0,4.42.0
       ,,,
       PRIMITIVES,.. _primitivelibs-support-compatibility-matrix:,,
-      :doc:`hipCUB <hipcub:index>`,4.0.0,3.4.0,3.3.0
-      :doc:`hipTensor <hiptensor:index>`,2.0.0,1.5.0,1.4.0
-      :doc:`rocPRIM <rocprim:index>`,4.0.0,3.4.1,3.3.0
-      :doc:`rocThrust <rocthrust:index>`,4.0.0,3.3.0,3.3.0
+      :doc:`hipCUB <hipcub:index>`,3.4.0,3.4.0,3.3.0
+      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.5.0,1.4.0
+      :doc:`rocPRIM <rocprim:index>`,3.4.1,3.4.1,3.3.0
+      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0
       ,,,
       SUPPORT LIBS,,,
-      `hipother <https://github.com/ROCm/hipother>`_,7.0.51830,6.4.43483,6.3.42131
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,7.0.1/7.0.0,6.4.3,6.3.0
+      `hipother <https://github.com/ROCm/hipother>`_,6.4.43483,6.4.43483,6.3.42131
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.3,6.4.2,6.3.0
       `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_
       ,,,
       SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix:,,
-      :doc:`AMD SMI <amdsmi:index>`,26.0.0,25.5.1,24.7.1
-      :doc:`ROCm Data Center Tool <rdc:index>`,1.1.0,0.3.0,0.3.0
+      :doc:`AMD SMI <amdsmi:index>`,25.5.1,25.5.1,24.7.1
+      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0
       :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.8.0,7.7.0,7.4.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.2.0,1.1.0,1.1.0
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.7.0,7.5.0,7.4.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0
       ,,,
       PERFORMANCE TOOLS,,,
-      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,2.6.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.2.3,3.1.1,3.0.0
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.1.0,1.0.2,0.1.0
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.70000,2.0.60403,2.0.60300
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,1.0.0,0.6.0,0.5.0
-      :doc:`ROCTracer <roctracer:index>`,4.1.70000,4.1.60403,4.1.60300
+      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0
+      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.1,3.1.1,3.0.0
+      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.2,1.0.2,0.1.0
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60403,2.0.60402,2.0.60300
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.6.0,0.5.0
+      :doc:`ROCTracer <roctracer:index>`,4.1.60403,4.1.60402,4.1.60300
       ,,,
       DEVELOPMENT TOOLS,,,
-      :doc:`HIPIFY <hipify:index>`,20.0.0,19.0.0,18.0.0.24455
+      :doc:`HIPIFY <hipify:index>`,19.0.0,19.0.0,18.0.0.24455
       :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.3,0.77.2,0.77.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,16.3.0,15.2.0,15.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.5.0,0.4.0,0.4.0
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.1.0,2.0.4,2.0.3
+      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.2,0.77.0
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0
+      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0
+      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.4,2.0.3
       ,,,
       COMPILERS,.. _compilers-support-compatibility-matrix:,,
+      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A
       :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1
-      `Flang <https://github.com/ROCm/flang>`_,20.0.0.25314,19.0.0.25224,18.0.0.24455
-      :doc:`llvm-project <llvm-project:index>`,20.0.0.25314,19.0.0.25224,18.0.0.24491
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,20.0.0.25314,19.0.0.25224,18.0.0.24491
+      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25224,19.0.0.25224,18.0.0.24455
+      :doc:`llvm-project <llvm-project:index>`,19.0.0.25224,19.0.0.25224,18.0.0.24491
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25224,19.0.0.25224,18.0.0.24491
       ,,,
       RUNTIMES,.. _runtime-support-compatibility-matrix:,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,7.0.51830,6.4.43484,6.3.42131
-      :doc:`HIP <hip:index>`,7.0.51830,6.4.43484,6.3.42131
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43484,6.4.43484,6.3.42131
+      :doc:`HIP <hip:index>`,6.4.43484,6.4.43484,6.3.42131
       `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0
-      :doc:`ROCr Runtime <rocr-runtime:index>`,1.18.0,1.15.0,1.14.0
+      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.15.0,1.14.0
+
 
 .. rubric:: Footnotes
 
-.. [#rhel-700] RHEL 8.10 is only supported on AMD Instinct MI300X, MI300A, MI250X, MI250, MI210, and MI100 GPUs.
-.. [#ol-700-mi300x] **For ROCm 7.0.x** - Oracle Linux 9 is supported only on AMD Instinct MI355X, MI350X, and MI300X GPUs. Oracle Linux 8 is supported only on AMD Instinct MI300X GPUs.
-.. [#ol-mi300x] **Prior ROCm 7.0.0** - Oracle Linux is supported only on AMD Instinct MI300X GPUs.
-.. [#sles-db-700] **For ROCm 7.0.x** - SLES 15 SP7 and Debian 12 are only supported on AMD Instinct MI300X, MI300A, MI250X, MI250, and MI210 GPUs.
-.. [#az-mi300x] Starting ROCm 6.4.0, Azure Linux 3.0 is supported only on AMD Instinct MI300X and AMD Radeon PRO V710.
-.. [#rl-700] Rocky Linux 9 is only supported on AMD Instinct MI300X and MI300A GPUs.
-.. [#single-node] **Prior to ROCm 7.0.0** - Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
-.. [#mi350x-os] AMD Instinct MI355X (gfx950) and MI350X(gfx950) GPUs are only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, RHEL 9.4, and Oracle Linux 9.
-.. [#RDNA-OS-700] **For ROCm 7.0.x** - AMD Radeon PRO AI PRO R9700 (gfx1201), AMD Radeon RX 9070 XT (gfx1201), AMD Radeon RX 9070 GRE (gfx1201), AMD Radeon RX 9070 (gfx1201), AMD Radeon RX 9060 XT (gfx1200), AMD Radeon RX 7800 XT (gfx1101), AMD Radeon RX 7700 XT (gfx1101), AMD Radeon PRO W7700 (gfx1101), and AMD Radeon PRO W6800 (gfx1030) are only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, and RHEL 9.6.
-.. [#RDNA-OS] **Prior ROCm 7.0.0** - Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), Radeon RX 9060 XT (gfx1200), Radeon PRO W7700 (gfx1101), and Radeon RX 7800 XT (gfx1101) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
-.. [#rd-v710] **For ROCm 7.0.x** - AMD Radeon PRO V710 (gfx1101) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, and Azure Linux 3.0.
-.. [#rd-v620] **For ROCm 7.0.x** - AMD Radeon PRO V620 (gfx1030) is only supported on Ubuntu 24.04.3 and Ubuntu 22.04.5.
-.. [#mi325x-os] **For ROCm 7.0.x** - AMD Instinct MI325X GPU (gfx942) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
-.. [#mi300x-os] **For ROCm 7.0.x** - AMD Instinct MI300X GPU (gfx942) is supported on all listed :ref:`supported_distributions`.
-.. [#mi300A-os] **For ROCm 7.0.x** - AMD Instinct MI300A GPU (gfx942) is supported only on Ubuntu 24.04, Ubuntu 22.04, RHEL 9.6, RHEL 9.4, RHEL 8.10, SLES 15 SP7, Debian 12, and Rocky Linux 9.
-.. [#mi200x-os] **For ROCm 7.0.x** - AMD Instinct MI200 Series GPUs (gfx90a) are supported only on Ubuntu 24.04, Ubuntu 22.04, RHEL 9.6, RHEL 9.4, RHEL 8.10, SLES 15 SP7, and Debian 12.
-.. [#mi100-os] **For ROCm 7.0.x** - AMD Instinct MI100 GPU (gfx908) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, RHEL 9.4, and RHEL 8.10.
-.. [#7700XT-OS] **Prior ROCm 7.0.0** - Radeon RX 7700 XT (gfx1101) is supported only on Ubuntu 24.04.2 and RHEL 9.6.
-.. [#tf-mi350] TensorFlow 2.17.1 is not supported on AMD Instinct MI350 series GPUs. Use TensorFlow 2.19.1 or 2.18.1 with MI350 series GPUs instead.
-.. [#stanford-megatron-lm_compat] Stanford Megatron-LM is only supported on ROCm 6.3.0.
-.. [#megablocks_compat] Megablocks is only supported on ROCm 6.3.0.
-.. [#llama-cpp_compat] llama.cpp is only supported on ROCm 7.0.0 and 6.4.x.
-.. [#driver_patch] AMD GPU Driver (amdgpu) 30.10.1 is a quality release that resolves an issue identified in the 30.10 release. There are no other significant changes or feature additions in ROCm 7.0.1 from ROCm 7.0.0. AMD GPU Driver (amdgpu) 30.10.1 is compatible with ROCm 7.0.1 and ROCm 7.0.0.
-.. [#kfd_support] As of ROCm 6.4.0, forward and backward compatibility between the AMD GPU Driver (amdgpu) and its user space software is provided up to a year apart. For earlier ROCm releases, the compatibility is provided for +/- 2 releases. The supported 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 AMD GPU Driver support matrix <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/user-kernel-space-compat-matrix.html>`_.
+.. [#mi300x] Oracle Linux and Azure Linux are supported only on AMD Instinct MI300X.
+.. [#single-node] Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
+.. [#RDNA-OS] Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), Radeon RX 9060 XT (gfx1200), Radeon PRO W7700 (gfx1101), and Radeon RX 7800 XT (gfx1101) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
+.. [#7700XT-OS] Radeon RX 7700 XT (gfx1101) is supported only on Ubuntu 24.04.2 and RHEL 9.6.
+.. [#kfd_support] 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] Starting from ROCm 6.3.0, the ROCT Thunk Interface is included as part of the ROCr runtime package.
 
 
@@ -195,30 +174,28 @@ Use this lookup table to confirm which operating system and kernel versions are
    :widths: 40, 20, 30, 20
    :stub-columns: 1
 
-   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.3, "6.8 [GA], 6.14 [HWE]", 2.39
+   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.2, "6.8 GA, 6.11 HWE", 2.39
    ,,
-   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.2, "6.8 [GA], 6.11 [HWE]", 2.39
+   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.5, "5.15 GA, 6.8 HWE", 2.35
    ,,
-   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.5, "5.15 [GA], 6.8 [HWE]", 2.35
-   ,,
-   `Red Hat Enterprise Linux (RHEL 9) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.6, 5.14.0-570, 2.34
+   `Red Hat Enterprise Linux (RHEL 9) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.6, 5.14+, 2.34
    ,9.5, 5.14+, 2.34
-   ,9.4, 5.14.0-427, 2.34
+   ,9.4, 5.14+, 2.34
+   ,9.3, 5.14+, 2.34
    ,,
-   `Red Hat Enterprise Linux (RHEL 8) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0-553, 2.28
+   `Red Hat Enterprise Linux (RHEL 8) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0+, 2.28
+   ,8.9, 4.18.0, 2.28
    ,,
-   `SUSE Linux Enterprise Server (SLES) <https://www.suse.com/support/kb/doc/?id=000019587#SLE15SP4>`_, 15 SP7, 6.40-150700.51, 2.38
+   `SUSE Linux Enterprise Server (SLES) <https://www.suse.com/support/kb/doc/?id=000019587#SLE15SP4>`_, 15 SP7, 6.11.0+, 2.38
    ,15 SP6, "6.5.0+, 6.4.0", 2.38
    ,15 SP5, 5.14.21, 2.31
    ,,
-   `Rocky Linux <https://wiki.rockylinux.org/rocky/version/>`_, 9, 5.14.0-570, 2.34
-   ,,
-   `Oracle Linux <https://blogs.oracle.com/scoter/post/oracle-linux-and-unbreakable-enterprise-kernel-uek-releases>`_, 9, 6.12.0 (UEK), 2.34
+   `Oracle Linux <https://blogs.oracle.com/scoter/post/oracle-linux-and-unbreakable-enterprise-kernel-uek-releases>`_, 9, 5.15.0 (UEK), 2.35
    ,8, 5.15.0 (UEK), 2.28
    ,,
-   `Debian <https://www.debian.org/download>`_,12, 6.1.0, 2.36
+   `Debian <https://www.debian.org/download>`_,12, 6.1, 2.36
    ,,
-   `Azure Linux <https://techcommunity.microsoft.com/blog/linuxandopensourceblog/azure-linux-3-0-now-in-preview-on-azure-kubernetes-service-v1-31/4287229>`_,3.0, 6.6.92, 2.38
+   `Azure Linux <https://techcommunity.microsoft.com/blog/linuxandopensourceblog/azure-linux-3-0-now-in-preview-on-azure-kubernetes-service-v1-31/4287229>`_,3.0, 6.6.60, 2.38
    ,,
 
 .. note::
@@ -251,24 +228,9 @@ Expand for full historical view of:
 
    .. rubric:: Footnotes
 
-   .. [#rhel-700-past-60] **For ROCm 7.0.x** - RHEL 8.10 is only supported on AMD Instinct MI300X, MI300A, MI250X, MI250, MI210, and MI100 GPUs.
-   .. [#ol-700-mi300x-past-60] **For ROCm 7.0.x** - Oracle Linux 9 is supported only on AMD Instinct MI300X, MI350X, and MI355X. Oracle Linux 8 is only supported on AMD Instinct MI300X.
-   .. [#mi300x-past-60] **Prior ROCm 7.0.0** - Oracle Linux is supported only on AMD Instinct MI300X.
-   .. [#sles-db-700-past-60] **For ROCm 7.0.x** - SLES 15 SP7 and Debian 12 are only supported on AMD Instinct MI300X, MI300A, MI250X, MI250, and MI210 GPUs.
-   .. [#single-node-past-60] **Prior to ROCm 7.0.0** - Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
-   .. [#az-mi300x-past-60] Starting from ROCm 6.4.0, Azure Linux 3.0 is supported only on AMD Instinct MI300X and AMD Radeon PRO V710.
-   .. [#az-mi300x-630-past-60] **Prior ROCm 6.4.0**- Azure Linux 3.0 is supported only on AMD Instinct MI300X.
-   .. [#rl-700-past-60] Rocky Linux 9 is only supported on AMD Instinct MI300X and MI300A GPUs.
-   .. [#mi350x-os-past-60] AMD Instinct MI355X (gfx950) and MI350X(gfx950) GPUs are only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, RHEL 9.4, and Oracle Linux 9.
-   .. [#RDNA-OS-700-past-60] **For ROCm 7.0.x** AMD Radeon PRO AI PRO R9700 (gfx1201), AMD Radeon RX 9070 XT (gfx1201), AMD Radeon RX 9070 GRE (gfx1201), AMD Radeon RX 9070 (gfx1201), AMD Radeon RX 9060 XT (gfx1200), AMD Radeon RX 7800 XT (gfx1101), AMD Radeon RX 7700 XT (gfx1101), AMD Radeon PRO W7700 (gfx1101), and AMD Radeon PRO W6800 (gfx1030) are only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, and RHEL 9.6.
-   .. [#RDNA-OS-past-60] **Prior ROCm 7.0.0** - Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), Radeon RX 9060 XT (gfx1200), Radeon PRO W7700 (gfx1101), and Radeon RX 7800 XT (gfx1101) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
-   .. [#rd-v710-past-60] **For ROCm 7.0.x** - AMD Radeon PRO V710 (gfx1101) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, and Azure Linux 3.0.
-   .. [#rd-v620-past-60] **For ROCm 7.0.x** - AMD Radeon PRO V620 (gfx1030) is only supported on Ubuntu 24.04.3 and Ubuntu 22.04.5.
-   .. [#mi325x-os-past-60] **For ROCm 7.0.x** - AMD Instinct MI325X GPU (gfx942) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
-   .. [#mi300x-os-past-60] **For ROCm 7.0.x** - AMD Instinct MI300X GPU (gfx942) is supported on all listed :ref:`supported_distributions`.
-   .. [#mi300A-os-past-60] **For ROCm 7.0.x** - AMD Instinct MI300A GPU (gfx942) is supported only on Ubuntu 24.04, Ubuntu 22.04, RHEL 9.6, RHEL 9.4, RHEL 8.10, SLES 15 SP7, Debian 12, and Rocky Linux 9.
-   .. [#mi200x-os-past-60] **For ROCm 7.0.x** - AMD Instinct MI200 Series GPUs (gfx90a) are supported only on Ubuntu 24.04, Ubuntu 22.04, RHEL 9.6, RHEL 9.4, RHEL 8.10, SLES 15 SP7, and Debian 12.
-   .. [#mi100-os-past-60] **For ROCm 7.0.x** - AMD Instinct MI100 GPU (gfx908) is only supported on Ubuntu 24.04.3, Ubuntu 22.04.5, RHEL 9.6, RHEL 9.4, and RHEL 8.10.
+   .. [#mi300x-past-60] Oracle Linux and Azure Linux are supported only on AMD Instinct MI300X.
+   .. [#single-node-past-60] Debian 12 is supported only on AMD Instinct MI300X for single-node functionality.
+   .. [#RDNA-OS-past-60] Radeon AI PRO R9700, Radeon RX 9070 XT (gfx1201), Radeon RX 9060 XT (gfx1200), Radeon PRO W7700 (gfx1101), and Radeon RX 7800 XT (gfx1101) are supported only on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.6, and RHEL 9.4.
    .. [#7700XT-OS-past-60] Radeon RX 7700 XT (gfx1101) is supported only on Ubuntu 24.04.2 and RHEL 9.6.
    .. [#mi300_624-past-60] **For ROCm 6.2.4** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
    .. [#mi300_622-past-60] **For ROCm 6.2.2** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
@@ -279,15 +241,12 @@ Expand for full historical view of:
    .. [#mi300_610-past-60] **For ROCm 6.1.0** - MI300A (gfx942) is supported on Ubuntu 22.04.4, RHEL 9.4, RHEL 9.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.4.
    .. [#mi300_602-past-60] **For ROCm 6.0.2** - MI300A (gfx942) is supported on Ubuntu 22.04.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.3.
    .. [#mi300_600-past-60] **For ROCm 6.0.0** - MI300A (gfx942) is supported on Ubuntu 22.04.3, RHEL 8.9, and SLES 15 SP5. MI300X (gfx942) is only supported on Ubuntu 22.04.3.
-   .. [#tf-mi350-past-60] TensorFlow 2.17.1 is not supported on AMD Instinct MI350 series GPUs. Use TensorFlow 2.19.1 or 2.18.1 with MI350 series GPUs instead.
-   .. [#verl_compat-past-60] verl is only supported on ROCm 6.2.0.
-   .. [#stanford-megatron-lm_compat-past-60] Stanford Megatron-LM is only supported on ROCm 6.3.0.
-   .. [#dgl_compat-past-60] DGL is only supported on ROCm 6.4.0.
-   .. [#megablocks_compat-past-60] Megablocks is only supported on ROCm 6.3.0.
-   .. [#ray_compat-past-60] Ray is only supported on ROCm 6.4.1.
-   .. [#llama-cpp_compat-past-60] llama.cpp is only supported on ROCm 7.0.0 and 6.4.x.
-   .. [#flashinfer_compat-past-60] FlashInfer is only supported on ROCm 6.4.1.
-   .. [#driver_patch-past-60] AMD GPU Driver (amdgpu) 30.10.1 is a quality release that resolves an issue identified in the 30.10 release. There are no other significant changes or feature additions in ROCm 7.0.1 from ROCm 7.0.0. AMD GPU Driver (amdgpu) 30.10.1 is compatible with ROCm 7.0.1 and ROCm 7.0.0.
-   .. [#kfd_support-past-60] As of ROCm 6.4.0, forward and backward compatibility between the AMD GPU Driver (amdgpu) and its user space software is provided up to a year apart. For earlier ROCm releases, the compatibility is provided for +/- 2 releases. The supported 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 AMD GPU Driver support matrix <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/user-kernel-space-compat-matrix.html>`_.
+   .. [#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.
+   .. [#ray_compat] Ray is only supported on ROCm 6.4.1.
+   .. [#llama-cpp_compat] llama.cpp is only supported on ROCm 6.4.0.
+   .. [#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.
    

docs/compatibility/ml-compatibility/flashinfer-compatibility.rst

@@ -1,107 +0,0 @@
-:orphan:
-
-.. meta::
-    :description: FlashInfer deep learning framework compatibility
-    :keywords: GPU, LLM, FlashInfer, compatibility
-
-.. version-set:: rocm_version latest
-
-********************************************************************************
-FlashInfer compatibility
-********************************************************************************
-
-`FlashInfer <https://docs.flashinfer.ai/index.html>`__ is a library and kernel generator 
-for Large Language Models (LLMs) that provides high-performance implementation of graphics 
-processing units (GPUs) kernels. FlashInfer focuses on LLM serving and inference, as well 
-as advanced performance across diverse scenarios.
-
-FlashInfer features highly efficient attention kernels, load-balanced scheduling, and memory-optimized 
-techniques, while supporting customized attention variants. It’s compatible with ``torch.compile``, and 
-offers high-performance LLM-specific operators, with easy integration through PyTorch, and C++ APIs.
-
-.. note::
-
-  The ROCm port of FlashInfer is under active development, and some features are not yet available. 
-  For the latest feature compatibility matrix, refer to the ``README`` of the 
-  `https://github.com/ROCm/flashinfer <https://github.com/ROCm/flashinfer>`__ repository.
-
-Support for the ROCm port of FlashInfer is available as follows:
-
-- ROCm support for FlashInfer is hosted in the `https://github.com/ROCm/flashinfer 
-  <https://github.com/ROCm/flashinfer>`__ repository. This location differs from the 
-  `https://github.com/flashinfer-ai/flashinfer <https://github.com/flashinfer-ai/flashinfer>`_ 
-  upstream repository.
-
-- To install FlashInfer, use the prebuilt :ref:`Docker image <flashinfer-docker-compat>`, 
-  which includes ROCm, FlashInfer, and all required dependencies.
-
-  - See the :doc:`ROCm FlashInfer installation guide <rocm-install-on-linux:install/3rd-party/flashinfer-install>` 
-    to install and get started.
-
-  - See the `Installation guide <https://docs.flashinfer.ai/installation.html>`__ 
-    in the upstream FlashInfer documentation.
-
-.. note::
-
-  Flashinfer is supported on ROCm 6.4.1.
-
-Supported devices
-================================================================================
-
-**Officially Supported**: AMD Instinct™ MI300X
-
-
-.. _flashinfer-recommendations:
-
-Use cases and recommendations
-================================================================================
-
-This release of FlashInfer on ROCm provides the decode functionality for LLM inferencing.
-In the decode phase, tokens are generated sequentially, with the model predicting each new 
-token based on the previously generated tokens and the input context.
-
-FlashInfer on ROCm brings over upstream features such as load balancing, sparse and dense 
-attention optimizations, and batching support, enabling efficient execution on AMD Instinct™ MI300X GPUs.
-
-Because large LLMs often require substantial KV caches or long context windows, FlashInfer on ROCm 
-also implements cascade attention from upstream to reduce memory usage. 
-
-For currently supported use cases and recommendations, refer to the `AMD ROCm blog <https://rocm.blogs.amd.com/>`__, 
-where you can search for examples and best practices to optimize your workloads on AMD GPUs.
-
-.. _flashinfer-docker-compat:
-
-Docker image compatibility
-================================================================================
-
-.. |docker-icon| raw:: html
-
-   <i class="fab fa-docker"></i>
-
-AMD validates and publishes `ROCm FlashInfer images <https://hub.docker.com/r/rocm/flashinfer/tags>`__
-with ROCm and Pytorch backends on Docker Hub. The following Docker image tags and associated
-inventories represent the FlashInfer version from the official Docker Hub.
-The Docker images have been validated for `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:: 
-    :header-rows: 1
-    :class: docker-image-compatibility
-
-    * - Docker image
-      - ROCm
-      - FlashInfer
-      - PyTorch
-      - Ubuntu
-      - Python
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/flashinfer/flashinfer-0.2.5_rocm6.4_ubuntu24.04_py3.12_pytorch2.7/images/sha256-558914838821c88c557fb6d42cfbc1bdb67d79d19759f37c764a9ee801f93313"><i class="fab fa-docker fa-lg"></i> rocm/flashinfer</a>
-      - `6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__
-      - `v0.2.5 <https://github.com/flashinfer-ai/flashinfer/releases/tag/v0.2.5>`__
-      - `2.7.1 <https://github.com/ROCm/pytorch/releases/tag/v2.7.1>`__
-      - 24.04
-      - `3.12 <https://www.python.org/downloads/release/python-3129/>`__
-
-

docs/compatibility/ml-compatibility/jax-compatibility.rst

@@ -27,7 +27,7 @@ with ROCm support:
   - Offers AMD-validated and community :ref:`Docker images <jax-docker-compat>`
     with ROCm and JAX preinstalled.
 
-  - ROCm JAX repository: `ROCm/rocm-jax <https://github.com/ROCm/rocm-jax>`_
+  - ROCm JAX repository: `ROCm/jax <https://github.com/ROCm/jax>`_
 
   - See the :doc:`ROCm JAX installation guide <rocm-install-on-linux:install/3rd-party/jax-install>`
     to get started.
@@ -47,23 +47,6 @@ with ROCm support:
    `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
    follow upstream JAX releases and use the latest available ROCm version.
 
-JAX Plugin-PJRT with JAX/JAXLIB compatibility
-================================================================================
-
-Portable JIT Runtime (PJRT) is an open, stable interface for device runtime and
-compiler. The following table details the ROCm version compatibility matrix
-between JAX Plugin–PJRT and JAX/JAXLIB.
-
-.. list-table::
-    :header-rows: 1
-
-    * - JAX Plugin-PJRT
-      - JAX/JAXLIB
-      - ROCm
-    * - 0.6.0
-      - 0.6.2, 0.6.0
-      - 7.0.1, 7.0.0
-
 Use cases and recommendations
 ================================================================================
 
@@ -107,15 +90,75 @@ For more use cases and recommendations, see `ROCm JAX blog posts <https://rocm.b
 Docker image compatibility
 ================================================================================
 
-AMD provides preconfigured Docker images with JAX and the ROCm backend.
-These images are published on `Docker Hub <https://hub.docker.com/r/rocm/jax>`__ and are the
-recommended way to get started with deep learning with JAX on ROCm.
-For ``jax-community`` images, see `rocm/jax-community
-<https://hub.docker.com/r/rocm/jax-community/tags>`__ on Docker Hub.
+.. |docker-icon| raw:: html
 
-To find the right image tag, see the :ref:`JAX on ROCm installation
-documentation <rocm-install-on-linux:jax-docker-support>` for a list of
-available ``rocm/jax`` images.
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes ready-made `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
+with ROCm backends on Docker Hub. The following Docker image tags and
+associated inventories represent the latest JAX version from the official Docker Hub and are validated for
+`ROCm 6.4.2 <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
+    :header-rows: 1
+
+    * - Docker image
+      - JAX
+      - Linux
+      - Python
+
+    * - .. 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>
+
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - Ubuntu 24.04
+      - `3.12.10 <https://www.python.org/downloads/release/python-31210/>`_
+
+    * - .. 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>
+
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - Ubuntu 22.04
+      - `3.10.17 <https://www.python.org/downloads/release/python-31017/>`_
+
+AMD publishes `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
+with ROCm backends on Docker Hub. The following Docker image tags and
+associated inventories are tested for `ROCm 6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_.
+
+.. list-table:: JAX community Docker image components
+    :header-rows: 1
+
+    * - Docker image
+      - JAX
+      - Linux
+      - Python
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.12.8/images/sha256-25dfaa0183e274bd0a3554a309af3249c6f16a1793226cb5373f418e39d3146a"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
+      - Ubuntu 22.04
+      - `3.12.8 <https://www.python.org/downloads/release/python-3128/>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.11.11/images/sha256-ff9baeca9067d13e6c279c911e5a9e5beed0817d24fafd424367cc3d5bd381d7"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
+      - Ubuntu 22.04
+      - `3.11.11 <https://www.python.org/downloads/release/python-31111/>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.10.16/images/sha256-8bab484be1713655f74da51a191ed824bb9d03db1104fd63530a1ac3c37cf7b1"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
+      - Ubuntu 22.04
+      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
 
 .. _key_rocm_libraries:
 
@@ -267,54 +310,5 @@ For a complete and up-to-date list of JAX public modules (for example, ``jax.num
   Since version 0.1.56, JAX has full support for ROCm, and the
   :ref:`Known issues and important notes <jax_comp_known_issues>` section
   contains details about limitations specific to the ROCm backend. The list of
-  JAX API modules are maintained by the JAX project and is subject to change.
+  JAX API modules is maintained by the JAX project and is subject to change. 
   Refer to the official Jax documentation for the most up-to-date information.
-
-Key features and enhancements for ROCm 7.0
-===============================================================================
-
-- Upgraded XLA backend: Integrates a newer XLA version, enabling better
-  optimizations, broader operator support, and potential performance gains.
-
-- RNN support: Native RNN support (including LSTMs via ``jax.experimental.rnn``)
-  now available on ROCm, aiding sequence model development.
-
-- Comprehensive linear algebra capabilities: Offers robust ``jax.linalg``
-  operations, essential for scientific and machine learning tasks.
-
-- Expanded AMD GPU architecture support: Provides ongoing support for gfx1101
-  GPUs and introduces support for gfx950 and gfx12xx GPUs.
-
-- Mixed FP8 precision support: Enables ``lax.dot_general`` operations with mixed FP8
-  types, offering pathways for memory and compute efficiency.
-
-- Streamlined PyPi packaging: Provides reliable PyPi wheels for JAX on ROCm,
-  simplifying the installation process.
-
-- Pallas experimental kernel development: Continued Pallas framework
-  enhancements for custom GPU kernels, including new intrinsics (specific
-  kernel behaviors under review).
-
-- Improved build system and CI: Enhanced ROCm build system and CI for greater
-  reliability and maintainability.
-
-- Enhanced distributed computing setup: Improved JAX setup in multi-GPU
-  distributed environments.
-
-.. _jax_comp_known_issues:
-
-Known issues and notes for ROCm 7.0
-===============================================================================
-
-- ``nn.dot_product_attention``: Certain configurations of ``jax.nn.dot_product_attention``
-  may cause segmentation faults, though the majority of use cases work correctly.
-
-- SVD with dynamic shapes: SVD on inputs with dynamic/symbolic shapes might result in an error.
-  SVD with static shapes is unaffected.
-
-- QR decomposition with symbolic shapes: QR decomposition operations may fail when using
-  symbolic/dynamic shapes in shape polymorphic contexts.
-
-- Pallas kernels: Specific advanced Pallas kernels may exhibit variations in
-  numerical output or resource usage. These are actively reviewed as part of
-  Pallas's experimental development.

docs/compatibility/ml-compatibility/llama-cpp-compatibility.rst

@@ -16,7 +16,7 @@ for Large Language Model (LLM) inference that runs on both central processing un
 a simple, dependency-free setup. 
 
 The framework supports multiple quantization options, from 1.5-bit to 8-bit integers, 
-to accelerate inference and reduce memory usage. Originally built as a CPU-first library, 
+to speed up inference and reduce memory usage. Originally built as a CPU-first library, 
 llama.cpp is easy to integrate with other programming environments and is widely 
 adopted across diverse platforms, including consumer devices. 
 
@@ -40,12 +40,12 @@ with ROCm support:
 
 .. note::
 
-  llama.cpp is supported on ROCm 7.0.0 and ROCm 6.4.x.
+  llama.cpp is supported on ROCm 6.4.0.
 
 Supported devices
 ================================================================================
 
-**Officially Supported**: AMD Instinct™ MI300X, MI325X, MI210
+**Officially Supported**: AMD Instinct™ MI300X, MI210
 
 
 Use cases and recommendations
@@ -70,7 +70,7 @@ llama.cpp is also used in a range of real-world applications, including:
 For more use cases and recommendations, refer to the `AMD ROCm blog <https://rocm.blogs.amd.com/>`__, 
 where you can search for llama.cpp examples and best practices to optimize your workloads on AMD GPUs.
 
-- The `Llama.cpp Meets Instinct: A New Era of Open-Source AI Acceleration <https://rocm.blogs.amd.com/ecosystems-and-partners/llama-cpp/README.html>`__ 
+- The `Llama.cpp Meets Instinct: A New Era of Open-Source AI Acceleration <https://rocm.blogs.amd.com/ecosystems-and-partners/llama-cpp/README.html>`__, 
   blog post outlines how the open-source llama.cpp framework enables efficient LLM inference—including interactive inference with ``llama-cli``, 
   server deployment with ``llama-server``, GGUF model preparation and quantization, performance benchmarking, and optimizations tailored for 
   AMD Instinct GPUs within the ROCm ecosystem. 
@@ -84,9 +84,9 @@ Docker image compatibility
 
    <i class="fab fa-docker"></i>
 
-AMD validates and publishes `ROCm llama.cpp Docker images <https://hub.docker.com/r/rocm/llama.cpp/tags>`__
+AMD validates and publishes `ROCm llama.cpp Docker images <https://hub.docker.com/r/rocm/llama.cpp>`__
 with ROCm backends on Docker Hub. The following Docker image tags and associated
-inventories represent the available llama.cpp versions from the official Docker Hub.
+inventories were tested on `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`__.
 Click |docker-icon| to view the image on Docker Hub.
 
 .. important::
@@ -105,115 +105,8 @@ Click |docker-icon| to view the image on Docker Hub.
       - Server Docker
       - Light Docker
       - llama.cpp
-      - ROCm
       - Ubuntu
 
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu24.04_full/images/sha256-a2ecd635eaa65bb289a9041330128677f3ae88bee6fee0597424b17e38d4903c"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu24.04_server/images/sha256-cb46b47df415addb5ceb6e6fdf0be70bf9d7f6863bbe6e10c2441ecb84246d52"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu24.04_light/images/sha256-8f8536eec4b05c0ff1c022f9fc6c527ad1c89e6c1ca0906e4d39e4de73edbde9"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `7.0.0 <https://repo.radeon.com/rocm/apt/7.0/>`__
-      - 24.04
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu22.04_full/images/sha256-f36de2a3b03ae53e81c85422cb3780368c9891e1ac7884b04403a921fe2ea45d"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu22.04_server/images/sha256-df15e8ab11a6837cd3736644fec1e047465d49e37d610ab0b79df000371327df"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm7.0.0_ubuntu22.04_light/images/sha256-4ea2d5bb7964f0ee3ea9b30ba7f343edd6ddfab1b1037669ca7eafad2e3c2bd7"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `7.0.0 <https://repo.radeon.com/rocm/apt/7.0/>`__
-      - 22.04
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu24.04_full/images/sha256-5960fc850024a8a76451f9eaadd89b7e59981ae9f393b407310c1ddf18892577"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu24.04_server/images/sha256-1b79775d9f546065a6aaf9ca426e1dd4ed4de0b8f6ee83687758cc05af6538e6"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu24.04_light/images/sha256-8f863c4c2857ae42bebd64e4f1a0a1e7cc3ec4503f243e32b4a4dcad070ec361"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.3 <https://repo.radeon.com/rocm/apt/6.4.3/>`__
-      - 24.04
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu22.04_full/images/sha256-888879b3ee208f9247076d7984524b8d1701ac72611689e89854a1588bec9867"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu22.04_server/images/sha256-90e4ff99a66743e33fd00728cd71a768588e5f5ef355aaa196669fe65ac70672"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.3_ubuntu22.04_light/images/sha256-bd447a049939cb99054f8fbf3f2352870fe906a75e2dc3339c845c08b9c53f9b"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.3 <https://repo.radeon.com/rocm/apt/6.4.3/>`__
-      - 22.04
-
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu24.04_full/images/sha256-5b3a1bc4889c1fcade434b937fbf9cc1c22ff7dc0317c130339b0c9238bc88c4"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu24.04_server/images/sha256-5228ff99d0f627a9032d668f4381b2e80dc1e301adc3e0821f26d8354b175271"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu24.04_light/images/sha256-b12723b332a826a89b7252dddf868cbe4d1a869562fc4aa4032f59e1a683b968"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__
-      - 24.04
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu22.04_full/images/sha256-cd6e21a6a73f59b35dd5309b09dd77654a94d783bf13a55c14eb8dbf8e9c2615"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu22.04_server/images/sha256-c2b4689ab2c47e6626e8fea22d7a63eb03d47c0fde9f5ef8c9f158d15c423e58"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.2_ubuntu22.04_light/images/sha256-1acc28f29ed87db9cbda629cb29e1989b8219884afe05f9105522be929e94da4"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.2 <https://repo.radeon.com/rocm/apt/6.4.2/>`__
-      - 22.04
-
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu24.04_full/images/sha256-2f8ae8a44510d96d52dea6cb398b224f7edeb7802df7ec488c6f63d206b3cdc9"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu24.04_server/images/sha256-fece497ff9f4a28b12f645de52766941da8ead8471aa1ea84b61d4b4568e51f2"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu24.04_light/images/sha256-3e14352fa6f8c6128b23cf9342531c20dbfb522550b626e09d83b260a1947022"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__
-      - 24.04
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu22.04_full/images/sha256-80763062ef0bec15038c35fd01267f1fc99a5dd171d4b48583cc668b15efad69"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu22.04_server/images/sha256-db2a6c957555ed83b819bbc54aea884a93192da0fb512dae63d32e0dc4e8ab8f"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b6356_rocm6.4.1_ubuntu22.04_light/images/sha256-c6dbb07cc655fb079d5216e4b77451cb64a9daa0585d23b6fb8b32cb22021197"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
-      - `b6356 <https://github.com/ROCm/llama.cpp/tree/release/b6356>`__
-      - `6.4.1 <https://repo.radeon.com/rocm/apt/6.4.1/>`__
-      - 22.04
-
     * - .. raw:: html
 
            <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b5997_rocm6.4.0_ubuntu24.04_full/images/sha256-f78f6c81ab2f8e957469415fe2370a1334fe969c381d1fe46050c85effaee9d5"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
@@ -224,52 +117,40 @@ Click |docker-icon| to view the image on Docker Hub.
 
            <a href="https://hub.docker.com/layers/rocm/llama.cpp/llama.cpp-b5997_rocm6.4.0_ubuntu24.04_light/images/sha256-cc324e6faeedf0e400011f07b49d2dc41a16bae257b2b7befa0f4e2e97231320"><i class="fab fa-docker fa-lg"></i> rocm/llama.cpp</a>
       - `b5997 <https://github.com/ROCm/llama.cpp/tree/release/b5997>`__
-      - `6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`__
       - 24.04
 
-
 Key ROCm libraries for llama.cpp
 ================================================================================
 
 llama.cpp functionality on ROCm is determined by its underlying library
 dependencies. These ROCm components affect the capabilities, performance, and
-feature set available to developers. Ensure you have the required libraries for 
-your corresponding ROCm version.
+feature set available to developers.
 
 .. list-table::
     :header-rows: 1
 
     * - ROCm library
-      - ROCm 7.0.0 version
-      - ROCm 6.4.x version
+      - Version
       - Purpose
       - Usage
     * - `hipBLAS <https://github.com/ROCm/hipBLAS>`__
-      - 3.0.0
-      - 2.4.0
+      - :version-ref:`hipBLAS rocm_version`
       - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
         matrix and vector operations.
       - Supports operations such as matrix multiplication, matrix-vector
         products, and tensor contractions. Utilized in both dense and batched
         linear algebra operations.
     * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`__
-      - 1.0.0
-      - 0.12.0
+      - :version-ref:`hipBLASLt rocm_version`
       - hipBLASLt is an extension of the hipBLAS library, providing additional
         features like epilogues fused into the matrix multiplication kernel or
         use of integer tensor cores.
       - By setting the flag ``ROCBLAS_USE_HIPBLASLT``, you can dispatch hipblasLt
         kernels where possible.
     * - `rocWMMA <https://github.com/ROCm/rocWMMA>`__
-      - 2.0.0
-      - 1.7.0
+      - :version-ref:`rocWMMA rocm_version`
       - Accelerates warp-level matrix-multiply and matrix-accumulate to speed up matrix
         multiplication (GEMM) and accumulation operations with mixed precision
         support.
       - Can be used to enhance the flash attention performance on AMD compute, by enabling
-        the flag during compile time.
-
-Previous versions
-===============================================================================
-See :doc:`rocm-install-on-linux:install/3rd-party/previous-versions/llama-cpp-history` to find documentation for previous releases
-of the ``ROCm/llama.cpp`` Docker image.
+        the flag during compile time.

docs/compatibility/ml-compatibility/megablocks-compatibility.rst

@@ -28,7 +28,7 @@ Supported devices
 ================================================================================
 
 - **Officially Supported**: AMD Instinct MI300X
-- **Partially Supported** (functionality or performance limitations): AMD Instinct MI250X, MI210
+- **Partially Supported** (functionality or performance limitations): AMD Instinct MI250X, MI210X
 
 Supported models and features
 ================================================================================

docs/compatibility/ml-compatibility/pytorch-compatibility.rst

@@ -89,13 +89,141 @@ For more use cases and recommendations, see `ROCm PyTorch blog posts <https://ro
 Docker image compatibility
 ================================================================================
 
-AMD provides preconfigured Docker images with PyTorch and the ROCm backend.
-These images are published on `Docker Hub <https://hub.docker.com/r/rocm/pytorch>`__ and are the
-recommended way to get started with deep learning with PyTorch on ROCm.
+.. |docker-icon| raw:: html
 
-To find the right image tag, see the :ref:`PyTorch on ROCm installation
-documentation <rocm-install-on-linux:pytorch-docker-support>` for a list of
-available ``rocm/pytorch`` images.
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes `PyTorch images <https://hub.docker.com/r/rocm/pytorch>`__
+with ROCm backends on Docker Hub. The following Docker image tags and associated
+inventories were tested on `ROCm 6.4.2 <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
+    :header-rows: 1
+    :class: docker-image-compatibility
+
+    * - Docker
+      - PyTorch
+      - Ubuntu
+      - Python
+      - Apex
+      - torchvision
+      - TensorBoard
+      - MAGMA
+      - UCX
+      - OMPI
+
+    * - .. 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>
+
+      - `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
+      - 24.04
+      - `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>`__
+      - `2.18.0 <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>`__
+
+    * - .. 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>
+
+      - `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`__
+      - 22.04
+      - `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>`__
+      - `2.18.0 <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_2.5.1/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 <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>`__
+      - `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>`__
+
+    * - .. 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>
+
+      - `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`__
+      - 22.04
+      - `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>`__
+      - `2.18.0 <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_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 <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>`__
+      - `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>`__
+
+    * - .. 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>
+
+      - `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`__
+      - 22.04
+      - `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>`__
+      - `2.18.0 <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_2.3.0/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 <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>`__
 
 Key ROCm libraries for PyTorch
 ================================================================================
@@ -238,8 +366,7 @@ feature set available to developers.
 Supported modules and data types
 ================================================================================
 
-The following section outlines the supported data types, modules, and domain
-libraries available in PyTorch on ROCm.
+The following section outlines the supported data types, modules, and domain libraries available in PyTorch on ROCm.
 
 Supported data types
 --------------------------------------------------------------------------------
@@ -338,7 +465,7 @@ with ROCm.
     * - Library
       - Description
 
-    * - `torchaudio <https://docs.pytorch.org/audio/stable/index.html>`_
+    * - `torchaudio <https://docs.pytorch.org/audio/stable/index.html>`_ 
       - Audio and signal processing library for PyTorch. Provides utilities for
         audio I/O, signal and data processing functions, datasets, model
         implementations, and application components for audio and speech
@@ -365,11 +492,11 @@ with ROCm.
         and popular datasets for natural language processing, including
         tokenization, vocabulary management, and text embeddings.
 
-        **Note:** ``torchtext`` does not implement ROCm-specific kernels.
+        **Note:** ``torchtext`` does not implement ROCm-specific kernels. 
         ROCm acceleration is provided through the underlying PyTorch framework
         and ROCm library integration. Only official release exists.
 
-    * - `torchdata <https://meta-pytorch.org/data/beta/index.html#torchdata>`_
+    * - `torchdata <https://docs.pytorch.org/data/beta/index.html>`_
       - Beta library of common modular data loading primitives for easily
         constructing flexible and performant data pipelines, with features still
         in prototype stage.
@@ -406,68 +533,3 @@ with ROCm.
         dispatching.
 
         **Note:** Only official release exists.
-
-Key features and enhancements for PyTorch 2.7 with ROCm 7.0
-================================================================================
-
-- Enhanced TunableOp framework: Introduces ``tensorfloat32`` support for
-  TunableOp operations, improved offline tuning for ScaledGEMM operations,
-  submatrix offline tuning capabilities, and better logging for BLAS operations
-  without bias vectors.
-
-- Expanded GPU architecture support: Provides optimized support for newer GPU
-  architectures, including gfx1200 and gfx1201 with preferred hipBLASLt backend
-  selection, along with improvements for gfx950 and gfx1100 series GPUs.
-
-- Advanced Triton Integration: AOTriton 0.10b introduces official support for
-  gfx950 and gfx1201, along with experimental support for gfx1101, gfx1151,
-  gfx1150, and gfx1200.
-
-- Improved element-wise kernel performance: Delivers enhanced vectorized
-  element-wise kernels with better support for heterogeneous tensor types and
-  optimized input vectorization for tensors with mixed data types.
-
-- MIOpen deep learning optimizations: Enables NHWC BatchNorm by default on
-  ROCm 7.0+, provides ``maxpool`` forward and backward performance improvements
-  targeting ResNet scenarios, and includes updated launch configurations for
-  better performance.
-
-- Enhanced memory and tensor operations: Features fixes for in-place ``aten``
-  sum operations with specialized templated kernels, improved 3D tensor
-  performance with NHWC format, and better handling of memory-bound matrix
-  multiplication operations.
-
-- Robust testing and quality improvements: Includes comprehensive test suite
-  updates with improved tolerance handling for Navi3x architectures, generalized
-  ROCm-specific test conditions, and enhanced unit test coverage for Flash
-  Attention and Memory Efficient operations.
-
-- Composable Kernel (CK) updates: Features updated CK submodule integration with
-  the latest optimizations and performance improvements for core mathematical
-  operations.
-
-- Development and debugging enhancements: Includes improved source handling for
-  dynamic compilation, better error handling for atomic operations, and enhanced
-  state checking for trace operations.
-
-- Integrate APEX fused layer normalization, which can have positive impact on
-  text-to-video models.
-
-- Integrate APEX distributed fused LAMB and distributed fused ADAM, which can
-  have positive impact on BERT-L and Llama2-SFT.
-
-- FlashAttention v3 has been integrated for AMD GPUs.
-
-- `Pytorch C++ extensions <https://pytorch.org/tutorials/advanced/cpp_extension.html>`_
-  provide a mechanism for compiling custom operations that can be used during
-  network training or inference. For AMD platforms, ``amdclang++`` has been
-  validated as the supported compiler for building these extensions.
-
-Known issues and notes for PyTorch 2.7 with ROCm 7.0
-================================================================================
-
-- The ``matmul.allow_fp16_reduced_precision_reduction`` and
-  ``matmul.allow_bf16_reduced_precision_reduction`` options under
-  ``torch.backends.cuda`` are not supported. As a result,
-  reduced-precision reductions using FP16 or BF16 accumulation types are not
-  available.

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

@@ -27,7 +27,7 @@ Supported Devices
 ================================================================================
 
 - **Officially Supported**: AMD Instinct MI300X
-- **Partially Supported** (functionality or performance limitations): AMD Instinct MI250X, MI210
+- **Partially Supported** (functionality or performance limitations): AMD Instinct MI250X, MI210X
 
 
 Supported models and features

docs/compatibility/ml-compatibility/tensorflow-compatibility.rst

@@ -47,15 +47,80 @@ fixes, updates, and support for the latest ROCM versions.
 .. _tensorflow-docker-compat:
 
 Docker image compatibility
-================================================================================
+===============================================================================
 
-AMD provides preconfigured Docker images with TensorFlow and the ROCm backend.
-These images are published on `Docker Hub <https://hub.docker.com/r/rocm/tensorflow>`__ and are the
-recommended way to get started with deep learning with TensorFlow on ROCm.
+.. |docker-icon| raw:: html
 
-To find the right image tag, see the :ref:`TensorFlow on ROCm installation
-documentation <rocm-install-on-linux:tensorflow-docker-support>` for a list of
-available ``rocm/tensorflow`` images.
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes ready-made `TensorFlow images
+<https://hub.docker.com/r/rocm/tensorflow>`__ with ROCm backends on
+Docker Hub. The following Docker image tags and associated inventories are
+validated for `ROCm 6.4.2 <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
+    :header-rows: 1
+
+    * - Docker image
+      - TensorFlow
+      - Ubuntu
+      - 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>
+
+      - `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 <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>
+
+      - `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/rocm6.4.2-py3.12-tf2.17-dev/images/sha256-3a0aef09f2a8833c2b64b85874dd9449ffc2ad257351857338ff5b706c03a418"><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>`__
+      - 22.04
+      - `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/rocm6.4.2-py3.12-tf2.16-dev/images/sha256-4841a8df7c340dab79bf9362dad687797649a00d594e0832eb83ea6880a40d3b"><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>`__
+      - 24.04
+      - `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/rocm6.4.2-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-6.4.2/tensorflow_rocm-2.16.2-cp310-cp310-manylinux_2_28_x86_64.whl>`__
+      - 22.04
+      - `Python 3.10 <https://www.python.org/downloads/release/python-31017/>`__
+      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`__
 
 
 Critical ROCm libraries for TensorFlow

docs/conceptual/gpu-arch.md

@@ -21,8 +21,7 @@ architecture.
 * [AMD Instinct™ MI300 microarchitecture](./gpu-arch/mi300.md)
 * [AMD Instinct MI300/CDNA3 ISA](https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-mi300-cdna3-instruction-set-architecture.pdf)
 * [White paper](https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/white-papers/amd-cdna-3-white-paper.pdf)
-* [MI300 performance counters](./gpu-arch/mi300-mi200-performance-counters.rst)
-* [MI350 series performance counters](./gpu-arch/mi350-performance-counters.rst)
+* [Performance counters](./gpu-arch/mi300-mi200-performance-counters.rst)
 :::
 
 :::{grid-item-card}

docs/conceptual/gpu-arch/mi350-performance-counters.rst

@@ -1,530 +0,0 @@
-.. meta::
-  :description: MI355 series performance counters and metrics
-  :keywords: MI355, MI355X, MI3XX
-
-***********************************
-MI350 series performance counters
-***********************************
-
-This topic lists and describes the hardware performance counters and derived metrics available on the AMD Instinct MI350 and MI355 accelerators. These counters are available for profiling using `ROCprofiler-SDK <https://rocm.docs.amd.com/projects/rocprofiler-sdk/en/latest/index.html>`_ and `ROCm Compute Profiler <https://rocm.docs.amd.com/projects/rocprofiler-compute/en/latest/>`_.
-
-The following sections list the performance counters based on the IP blocks.
-
-Command processor packet processor counters (CPC)
-==================================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - CPC_ALWAYS_COUNT
-      - Always count.
-
-    * - CPC_ADC_VALID_CHUNK_NOT_AVAIL
-      - ADC valid chunk is not available when dispatch walking is in progress in the multi-xcc mode.
-
-    * - CPC_ADC_DISPATCH_ALLOC_DONE
-      - ADC dispatch allocation is done.
-
-    * - CPC_ADC_VALID_CHUNK_END
-      - ADC crawler's valid chunk end in the multi-xcc mode.
-
-    * - CPC_SYNC_FIFO_FULL_LEVEL
-      - SYNC FIFO full last cycles.
-
-    * - CPC_SYNC_FIFO_FULL
-      - SYNC FIFO full times.
-
-    * - CPC_GD_BUSY
-      - ADC busy.
-
-    * - CPC_TG_SEND
-      - ADC thread group send.
-
-    * - CPC_WALK_NEXT_CHUNK
-      - ADC walking next valid chunk in the multi-xcc mode.
-
-    * - CPC_STALLED_BY_SE0_SPI
-      - ADC CSDATA stalled by SE0SPI.
-
-    * - CPC_STALLED_BY_SE1_SPI
-      - ADC CSDATA stalled by SE1SPI.
-
-    * - CPC_STALLED_BY_SE2_SPI
-      - ADC CSDATA stalled by SE2SPI.
-
-    * - CPC_STALLED_BY_SE3_SPI
-      - ADC CSDATA stalled by SE3SPI.
-
-    * - CPC_LTE_ALL
-      - CPC sync counter LteAll. Only Master XCD manages LteAll.
-
-    * - CPC_SYNC_WRREQ_FIFO_BUSY
-      - CPC sync counter request FIFO is not empty.
-
-    * - CPC_CANE_BUSY
-      - CPC CANE bus is busy, which indicates the presence of inflight sync counter requests.
-
-    * - CPC_CANE_STALL
-      - CPC sync counter sending is stalled by CANE.
-
-Shader pipe interpolators (SPI) counters
-=========================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - SPI_CS0_WINDOW_VALID
-      - Clock count enabled by PIPE0 perfcounter_start event.
-
-    * - SPI_CS0_BUSY
-      - Number of clocks with outstanding waves for PIPE0 (SPI or SH).
-
-    * - SPI_CS0_NUM_THREADGROUPS
-      - Number of thread groups launched for PIPE0.
-
-    * - SPI_CS0_CRAWLER_STALL
-      - Number of clocks when PIPE0 event or wave order FIFO is full.
-
-    * - SPI_CS0_EVENT_WAVE
-      - Number of PIPE0 events and waves.
-
-    * - SPI_CS0_WAVE
-      - Number of PIPE0 waves.
-
-    * - SPI_CS1_WINDOW_VALID
-      - Clock count enabled by PIPE1 perfcounter_start event.
-
-    * - SPI_CS1_BUSY
-      - Number of clocks with outstanding waves for PIPE1 (SPI or SH).
-
-    * - SPI_CS1_NUM_THREADGROUPS
-      - Number of thread groups launched for PIPE1.
-
-    * - SPI_CS1_CRAWLER_STALL
-      - Number of clocks when PIPE1 event or wave order FIFO is full.
-
-    * - SPI_CS1_EVENT_WAVE
-      - Number of PIPE1 events and waves.
-
-    * - SPI_CS1_WAVE
-      - Number of PIPE1 waves.
-
-    * - SPI_CS2_WINDOW_VALID
-      - Clock count enabled by PIPE2 perfcounter_start event.
-
-    * - SPI_CS2_BUSY
-      - Number of clocks with outstanding waves for PIPE2 (SPI or SH).
-
-    * - SPI_CS2_NUM_THREADGROUPS
-      - Number of thread groups launched for PIPE2.
-
-    * - SPI_CS2_CRAWLER_STALL
-      - Number of clocks when PIPE2 event or wave order FIFO is full.
-
-    * - SPI_CS2_EVENT_WAVE
-      - Number of PIPE2 events and waves.
-
-    * - SPI_CS2_WAVE
-      - Number of PIPE2 waves.
-
-    * - SPI_CS3_WINDOW_VALID
-      - Clock count enabled by PIPE3 perfcounter_start event.
-
-    * - SPI_CS3_BUSY
-      - Number of clocks with outstanding waves for PIPE3 (SPI or SH).
-
-    * - SPI_CS3_NUM_THREADGROUPS
-      - Number of thread groups launched for PIPE3.
-
-    * - SPI_CS3_CRAWLER_STALL
-      - Number of clocks when PIPE3 event or wave order FIFO is full.
-
-    * - SPI_CS3_EVENT_WAVE
-      - Number of PIPE3 events and waves.
-
-    * - SPI_CS3_WAVE
-      - Number of PIPE3 waves.
-
-    * - SPI_CSQ_P0_Q0_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue0.
-
-    * - SPI_CSQ_P0_Q1_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue1.
-
-    * - SPI_CSQ_P0_Q2_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue2.
-
-    * - SPI_CSQ_P0_Q3_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue3.
-
-    * - SPI_CSQ_P0_Q4_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue4.
-
-    * - SPI_CSQ_P0_Q5_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue5.
-
-    * - SPI_CSQ_P0_Q6_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue6.
-
-    * - SPI_CSQ_P0_Q7_OCCUPANCY
-      - Sum of occupancy info for PIPE0 Queue7.
-
-    * - SPI_CSQ_P1_Q0_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue0.
-
-    * - SPI_CSQ_P1_Q1_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue1.
-
-    * - SPI_CSQ_P1_Q2_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue2.
-
-    * - SPI_CSQ_P1_Q3_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue3.
-
-    * - SPI_CSQ_P1_Q4_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue4.
-
-    * - SPI_CSQ_P1_Q5_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue5.
-
-    * - SPI_CSQ_P1_Q6_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue6.
-
-    * - SPI_CSQ_P1_Q7_OCCUPANCY
-      - Sum of occupancy info for PIPE1 Queue7.
-
-    * - SPI_CSQ_P2_Q0_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue0.
-
-    * - SPI_CSQ_P2_Q1_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue1.
-
-    * - SPI_CSQ_P2_Q2_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue2.
-
-    * - SPI_CSQ_P2_Q3_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue3.
-
-    * - SPI_CSQ_P2_Q4_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue4.
-
-    * - SPI_CSQ_P2_Q5_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue5.
-
-    * - SPI_CSQ_P2_Q6_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue6.
-
-    * - SPI_CSQ_P2_Q7_OCCUPANCY
-      - Sum of occupancy info for PIPE2 Queue7.
-
-    * - SPI_CSQ_P3_Q0_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue0.
-
-    * - SPI_CSQ_P3_Q1_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue1.
-
-    * - SPI_CSQ_P3_Q2_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue2.
-
-    * - SPI_CSQ_P3_Q3_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue3.
-
-    * - SPI_CSQ_P3_Q4_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue4.
-
-    * - SPI_CSQ_P3_Q5_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue5.
-
-    * - SPI_CSQ_P3_Q6_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue6.
-
-    * - SPI_CSQ_P3_Q7_OCCUPANCY
-      - Sum of occupancy info for PIPE3 Queue7.
-
-    * - SPI_CSQ_P0_OCCUPANCY
-      - Sum of occupancy info for all PIPE0 queues.
-
-    * - SPI_CSQ_P1_OCCUPANCY
-      - Sum of occupancy info for all PIPE1 queues.
-
-    * - SPI_CSQ_P2_OCCUPANCY
-      - Sum of occupancy info for all PIPE2 queues.
-
-    * - SPI_CSQ_P3_OCCUPANCY
-      - Sum of occupancy info for all PIPE3 queues.
-
-    * - SPI_VWC0_VDATA_VALID_WR
-      - Number of clocks VGPR bus_0 writes VGPRs.
-
-    * - SPI_VWC1_VDATA_VALID_WR
-      - Number of clocks VGPR bus_1 writes VGPRs.
-
-    * - SPI_CSC_WAVE_CNT_BUSY
-      - Number of cycles when there is any wave in the pipe.
-
-Compute unit (SQ) counters
-===========================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - SQ_INSTS_VALU_MFMA_F6F4
-      - Number of VALU V_MFMA_*_F6F4 instructions.
-
-    * - SQ_INSTS_VALU_MFMA_MOPS_F6F4
-      - Number of VALU matrix with the performed math operations (add or mul) divided by 512, assuming a full EXEC mask of F6 or F4 data type.
-
-    * - SQ_ACTIVE_INST_VALU2
-      - Number of quad-cycles when two VALU instructions are issued (per-simd, nondeterministic).
-
-    * - SQ_INSTS_LDS_LOAD
-      - Number of LDS load instructions issued (per-simd, emulated).
-
-    * - SQ_INSTS_LDS_STORE
-      - Number of LDS store instructions issued (per-simd, emulated).
-
-    * - SQ_INSTS_LDS_ATOMIC
-      - Number of LDS atomic instructions issued (per-simd, emulated).
-
-    * - SQ_INSTS_LDS_LOAD_BANDWIDTH
-      - Total number of 64-bytes loaded (instrSize * CountOnes(EXEC))/64 (per-simd, emulated).
-
-    * - SQ_INSTS_LDS_STORE_BANDWIDTH
-      - Total number of 64-bytes written (instrSize * CountOnes(EXEC))/64 (per-simd, emulated).
-
-    * - SQ_INSTS_LDS_ATOMIC_BANDWIDTH
-      - Total number of 64-bytes atomic (instrSize * CountOnes(EXEC))/64 (per-simd, emulated).
-
-    * - SQ_INSTS_VALU_FLOPS_FP16
-      - Counts FLOPS per instruction on float 16 excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_FLOPS_FP32
-      - Counts FLOPS per instruction on float 32 excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_FLOPS_FP64
-      - Counts FLOPS per instruction on float 64 excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_FLOPS_FP16_TRANS
-      - Counts FLOPS per instruction on float 16 trans excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_FLOPS_FP32_TRANS
-      - Counts FLOPS per instruction on float 32 trans excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_FLOPS_FP64_TRANS
-      - Counts FLOPS per instruction on float 64 trans excluding MFMA/SMFMA.
-
-    * - SQ_INSTS_VALU_IOPS
-      - Counts OPS per instruction on integer or unsigned or bit data (per-simd, emulated).
-
-    * - SQ_LDS_DATA_FIFO_FULL
-      - Number of cycles LDS data FIFO is full (nondeterministic, unwindowed).
-
-    * - SQ_LDS_CMD_FIFO_FULL
-      - Number of cycles LDS command FIFO is full (nondeterministic, unwindowed).
-
-    * - SQ_VMEM_TA_ADDR_FIFO_FULL
-      - Number of cycles texture requests are stalled due to full address FIFO in TA (nondeterministic, unwindowed).
-
-    * - SQ_VMEM_TA_CMD_FIFO_FULL
-      - Number of cycles texture requests are stalled due to full cmd FIFO in TA (nondeterministic, unwindowed).
-
-    * - SQ_VMEM_WR_TA_DATA_FIFO_FULL
-      - Number of cycles texture writes are stalled due to full data FIFO in TA (nondeterministic, unwindowed).
-
-    * - SQC_ICACHE_MISSES_DUPLICATE
-      - Number of duplicate misses (access to a non-resident, miss pending CL) (per-SQ, per-Bank, nondeterministic).
-
-    * - SQC_DCACHE_MISSES_DUPLICATE
-      - Number of duplicate misses (access to a non-resident, miss pending CL) (per-SQ, per-Bank, nondeterministic).
-
-Texture addressing (TA) unit counters
-======================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - TA_BUFFER_READ_LDS_WAVEFRONTS
-      - Number of buffer read wavefronts for LDS return processed by the TA.
-
-    * - TA_FLAT_READ_LDS_WAVEFRONTS
-      - Number of flat opcode reads for LDS return processed by the TA.
-
-Texture data (TD) unit counters
-================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - TD_WRITE_ACKT_WAVEFRONT
-      - Number of write acknowledgments, sent to SQ and not to SP.
-
-    * - TD_TD_SP_TRAFFIC
-      - Number of times this TD sends data to the SP.
-
-Texture cache per pipe (TCP) counters
-======================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - TCP_TCP_TA_ADDR_STALL_CYCLES
-      - TCP stalls TA addr interface.
-
-    * - TCP_TCP_TA_DATA_STALL_CYCLES
-      - TCP stalls TA data interface. Now windowed.
-
-    * - TCP_LFIFO_STALL_CYCLES
-      - Memory latency FIFOs full stall.
-
-    * - TCP_RFIFO_STALL_CYCLES
-      - Memory Request FIFOs full stall.
-
-    * - TCP_TCR_RDRET_STALL
-      - Write into cache stalled by read return from TCR.
-
-    * - TCP_PENDING_STALL_CYCLES
-      - Stall due to data pending from L2.
-
-    * - TCP_UTCL1_SERIALIZATION_STALL
-      - Total number of stalls caused due to serializing translation requests through the UTCL1.
-
-    * - TCP_UTCL1_THRASHING_STALL
-      - Stall caused by thrashing feature in any probe. Lacks accuracy when the stall signal overlaps between probe0 and probe1, which is worse with MECO of thrashing deadlock. Some probe0 events could miss being counted in with MECO on. This perf count provides a rough thrashing estimate.
-
-    * - TCP_UTCL1_TRANSLATION_MISS_UNDER_MISS
-      - Translation miss_under_miss.
-
-    * - TCP_UTCL1_STALL_INFLIGHT_MAX
-      - Total UTCL1 stalls due to inflight counter saturation.
-
-    * - TCP_UTCL1_STALL_LRU_INFLIGHT
-      - Total UTCL1 stalls due to LRU cache line with inflight traffic.
-
-    * - TCP_UTCL1_STALL_MULTI_MISS
-      - Total UTCL1 stalls due to arbitrated multiple misses.
-
-    * - TCP_UTCL1_LFIFO_FULL
-      - Total UTCL1 and UTCL2 latency, which hides FIFO full cycles.
-
-    * - TCP_UTCL1_STALL_LFIFO_NOT_RES
-      - Total UTCL1 stalls due to UTCL2 latency, which hides FIFO output (not resident).
-
-    * - TCP_UTCL1_STALL_UTCL2_REQ_OUT_OF_CREDITS
-      - Total UTCL1 stalls due to UTCL2_req being out of credits.
-
-    * - TCP_CLIENT_UTCL1_INFLIGHT
-      - The sum of inflight client to UTCL1 requests per cycle.
-
-    * - TCP_TAGRAM0_REQ
-      - Total L2 requests mapping to TagRAM 0 from this TCP to all TCCs.
-
-    * - TCP_TAGRAM1_REQ
-      - Total L2 requests mapping to TagRAM 1 from this TCP to all TCCs.
-
-    * - TCP_TAGRAM2_REQ
-      - Total L2 requests mapping to TagRAM 2 from this TCP to all TCCs.
-
-    * - TCP_TAGRAM3_REQ
-      - Total L2 requests mapping to TagRAM 3 from this TCP to all TCCs.
-
-    * - TCP_TCP_LATENCY
-      - Total TCP wave latency (from the first clock of wave entering to the first clock of wave leaving). Divide by TA_TCP_STATE_READ to find average wave latency.
-
-    * - TCP_TCC_READ_REQ_LATENCY
-      - Total TCP to TCC request latency for reads and atomics with return. Not Windowed.
-
-    * - TCP_TCC_WRITE_REQ_LATENCY
-      - Total TCP to TCC request latency for writes and atomics without return. Not Windowed.
-
-    * - TCP_TCC_WRITE_REQ_HOLE_LATENCY
-      - Total TCP req to TCC hole latency for writes and atomics. Not Windowed.
-
-Texture cache per channel (TCC) counters
-=========================================
-
-.. list-table::
-    :header-rows: 1
-
-    * - Hardware counter
-      - Definition
-
-    * - TCC_READ_SECTORS
-      - Total number of 32B data sectors in read requests.
-
-    * - TCC_WRITE_SECTORS
-      - Total number of 32B data sectors in write requests.
-
-    * - TCC_ATOMIC_SECTORS
-      - Total number of 32B data sectors in atomic requests.
-
-    * - TCC_BYPASS_REQ
-      - Number of bypass requests. This is measured at the tag block.
-
-    * - TCC_LATENCY_FIFO_FULL
-      - Number of cycles when the latency FIFO is full.
-
-    * - TCC_SRC_FIFO_FULL
-      - Number of cycles when the SRC FIFO is assumed to be full as measured at the IB block.
-
-    * - TCC_EA0_RDREQ_64B
-      - Number of 64-byte TCC/EA read requests.
-
-    * - TCC_EA0_RDREQ_128B
-      - Number of 128-byte TCC/EA read requests.
-
-    * - TCC_IB_REQ
-      - Number of requests through the IB. This measures the number of raw requests from graphics clients to this TCC.
-
-    * - TCC_IB_STALL
-      - Number of cycles when the IB output is stalled.
-
-    * - TCC_EA0_WRREQ_WRITE_DRAM
-      - Number of TCC/EA write requests (32-byte or 64-byte) destined for DRAM (MC).
-
-    * - TCC_EA0_WRREQ_ATOMIC_DRAM
-      - Number of TCC/EA atomic requests (32-byte or 64-byte) destined for DRAM (MC).
-
-    * - TCC_EA0_RDREQ_DRAM_32B
-      - Number of 32-byte TCC/EA read requests due to DRAM traffic. One 64-byte request is counted as two and one 128-byte as four.
-
-    * - TCC_EA0_RDREQ_GMI_32B
-      - Number of 32-byte TCC/EA read requests due to GMI traffic. One 64-byte request is counted as two and one 128-byte as four.
-
-    * - TCC_EA0_RDREQ_IO_32B
-      - Number of 32-byte TCC/EA read requests due to IO traffic. One 64-byte request is counted as two and one 128-byte as four.
-
-    * - TCC_EA0_WRREQ_WRITE_DRAM_32B
-      - Number of 32-byte TCC/EA write requests due to DRAM traffic. One 64-byte request is counted as two.
-
-    * - TCC_EA0_WRREQ_ATOMIC_DRAM_32B
-      - Number of 32-byte TCC/EA atomic requests due to DRAM traffic. One 64-byte request is counted as two.
-
-    * - TCC_EA0_WRREQ_WRITE_GMI_32B
-      - Number of 32-byte TCC/EA write requests due to GMI traffic. One 64-byte request is counted as two.
-
-    * - TCC_EA0_WRREQ_ATOMIC_GMI_32B
-      - Number of 32-byte TCC/EA atomic requests due to GMI traffic. One 64-byte request is counted as two.
-
-    * - TCC_EA0_WRREQ_WRITE_IO_32B
-      - Number of 32-byte TCC/EA write requests due to IO traffic. One 64-byte request is counted as two.
-
-    * - TCC_EA0_WRREQ_ATOMIC_IO_32B
-      - Number of 32-byte TCC/EA atomic requests due to IO traffic. One 64-byte request is counted as two.

docs/conf.py

@@ -9,21 +9,17 @@ import shutil
 import sys
 from pathlib import Path
 
-gh_release_path = os.path.join("..", "RELEASE.md")
-gh_changelog_path = os.path.join("..", "CHANGELOG.md")
-sphinx_release_path = os.path.join("about", "release-notes.md")
-sphinx_changelog_path = os.path.join("release", "changelog.md")
-shutil.copy2(gh_release_path, sphinx_release_path)
-shutil.copy2(gh_changelog_path, sphinx_changelog_path)
+shutil.copy2("../RELEASE.md", "./about/release-notes.md")
+shutil.copy2("../CHANGELOG.md", "./release/changelog.md")
 
 # Mark the consolidated changelog as orphan to prevent Sphinx from warning about missing toctree entries
-with open(sphinx_changelog_path, "r+", encoding="utf-8") as file:
+with open("./release/changelog.md", "r+") as file:
     content = file.read()
     file.seek(0)
     file.write(":orphan:\n" + content)
 
 # Replace GitHub-style [!ADMONITION]s with Sphinx-compatible ```{admonition} blocks
-with open(sphinx_changelog_path, "r", encoding="utf-8") as file:
+with open("./release/changelog.md", "r") as file:
     lines = file.readlines()
 
     modified_lines = []
@@ -61,14 +57,11 @@ with open(sphinx_changelog_path, "r", encoding="utf-8") as file:
 
     file.close()
 
-    with open(sphinx_changelog_path, "w", encoding="utf-8") as file:
+    with open("./release/changelog.md", 'w') as file:
         file.writelines(modified_lines)
 
-matrix_path = os.path.join("compatibility", "compatibility-matrix-historical-6.0.csv")
-rtd_path = os.path.join("..", "_readthedocs", "html", "downloads")
-if not os.path.exists(rtd_path):
-    os.makedirs(rtd_path)
-shutil.copy2(matrix_path, rtd_path)
+os.system("mkdir -p ../_readthedocs/html/downloads")
+os.system("cp compatibility/compatibility-matrix-historical-6.0.csv ../_readthedocs/html/downloads/compatibility-matrix-historical-6.0.csv")
 
 latex_engine = "xelatex"
 latex_elements = {
@@ -89,15 +82,15 @@ project = "ROCm Documentation"
 project_path = os.path.abspath(".").replace("\\", "/")
 author = "Advanced Micro Devices, Inc."
 copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
-version = "7.0.1"
-release = "7.0.1"
+version = "6.4.3"
+release = "6.4.3"
 setting_all_article_info = True
 all_article_info_os = ["linux", "windows"]
 all_article_info_author = ""
 
 # pages with specific settings
 article_pages = [
-    {"file": "about/release-notes", "os": ["linux"], "date": "2025-09-17"},
+    {"file": "about/release-notes", "os": ["linux"], "date": "2025-08-07"},
     {"file": "release/changelog", "os": ["linux"],},
     {"file": "compatibility/compatibility-matrix", "os": ["linux"]},
     {"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
@@ -109,15 +102,11 @@ article_pages = [
     {"file": "compatibility/ml-compatibility/megablocks-compatibility", "os": ["linux"]},
     {"file": "compatibility/ml-compatibility/ray-compatibility", "os": ["linux"]},
     {"file": "compatibility/ml-compatibility/llama-cpp-compatibility", "os": ["linux"]},
-    {"file": "compatibility/ml-compatibility/flashinfer-compatibility", "os": ["linux"]},
     {"file": "how-to/deep-learning-rocm", "os": ["linux"]},
 
     {"file": "how-to/rocm-for-ai/index", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/install", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/system-setup/index", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/system-setup/multi-node-setup", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/system-setup/prerequisite-system-validation", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/system-setup/system-health-check", "os": ["linux"]},
+    {"file": "how-to/rocm-for-ai/system-health-check", "os": ["linux"]},
 
     {"file": "how-to/rocm-for-ai/training/index", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/train-a-model", "os": ["linux"]},
@@ -130,9 +119,7 @@ article_pages = [
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-v25.4", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-v25.5", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-v25.6", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-v25.7", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-primus-migration-guide", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/primus-megatron-v25.7", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/primus-megatron", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/pytorch-training", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-history", "os": ["linux"]},
@@ -140,13 +127,9 @@ article_pages = [
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.4", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.5", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.6", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/pytorch-training-v25.7", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/primus-pytorch", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/pytorch-training", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/jax-maxtext-history", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/jax-maxtext-v25.4", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/benchmark-docker/previous-versions/jax-maxtext-v25.5", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/training/benchmark-docker/mpt-llm-foundry", "os": ["linux"]},
 
     {"file": "how-to/rocm-for-ai/fine-tuning/index", "os": ["linux"]},
@@ -171,8 +154,6 @@ article_pages = [
     {"file": "how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.9.0.1-20250702", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.9.1-20250702", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.9.1-20250715", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.10.0-20250812", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/sglang-history", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/inference/benchmark-docker/pytorch-inference", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/inference/deploy-your-model", "os": ["linux"]},
 

docs/contribute/building.md

@@ -28,31 +28,13 @@ See the [Python requirements file](https://github.com/ROCm/ROCm/blob/develop/doc
 
 Use the Python Virtual Environment (`venv`) and run the following commands from the project root:
 
-::::{tab-set}
-:::{tab-item} Linux and WSL
-:sync: linux
-
 ```sh
 python3 -mvenv .venv
 
-.venv/bin/python -m pip install -r docs/sphinx/requirements.txt
-.venv/bin/python -m sphinx -T -E -b html -d _build/doctrees -D language=en docs _build/html
+.venv/bin/python     -m pip install -r docs/sphinx/requirements.txt
+.venv/bin/python     -m sphinx -T -E -b html -d _build/doctrees -D language=en docs _build/html
 ```
 
-:::
-:::{tab-item} Windows
-:sync: windows
-
-```powershell
-python -mvenv .venv
-
-.venv\Scripts\python.exe -m pip install -r docs/sphinx/requirements.txt
-.venv\Scripts\python.exe -m sphinx -T -E -b html -d _build/doctrees -D language=en docs _build/html
-```
-
-:::
-::::
-
 Navigate to `_build/html/index.html` and open this file in a web browser.
 
 ## Visual Studio Code

docs/data/how-to/rocm-for-ai/inference/previous-versions/vllm_0.10.1_20250909-benchmark-models.yaml

@@ -1,188 +0,0 @@
-dockers:
-  - pull_tag: rocm/vllm:rocm6.4.1_vllm_0.10.1_20250909
-    docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.10.1_20250909/images/sha256-1113268572e26d59b205792047bea0e61e018e79aeadceba118b7bf23cb3715c
-    components:
-      ROCm: 6.4.1
-      vLLM: 0.10.1 (0.10.1rc2.dev409+g0b6bf6691.rocm641)
-      PyTorch: 2.7.0+gitf717b2a
-      hipBLASLt: 0.15
-model_groups:
-  - group: Meta Llama
-    tag: llama
-    models:
-    - model: Llama 3.1 8B
-      mad_tag: pyt_vllm_llama-3.1-8b
-      model_repo: meta-llama/Llama-3.1-8B-Instruct
-      url: https://huggingface.co/meta-llama/Llama-3.1-8B
-      precision: float16
-      config:
-        tp: 1
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Llama 3.1 70B
-      mad_tag: pyt_vllm_llama-3.1-70b
-      model_repo: meta-llama/Llama-3.1-70B-Instruct
-      url: https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct
-      precision: float16
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Llama 3.1 405B
-      mad_tag: pyt_vllm_llama-3.1-405b
-      model_repo: meta-llama/Llama-3.1-405B-Instruct
-      url: https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct
-      precision: float16
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Llama 2 70B
-      mad_tag: pyt_vllm_llama-2-70b
-      model_repo: meta-llama/Llama-2-70b-chat-hf
-      url: https://huggingface.co/meta-llama/Llama-2-70b-chat-hf
-      precision: float16
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 4096
-        max_num_batched_tokens: 4096
-        max_model_len: 4096
-    - model: Llama 3.1 8B FP8
-      mad_tag: pyt_vllm_llama-3.1-8b_fp8
-      model_repo: amd/Llama-3.1-8B-Instruct-FP8-KV
-      url: https://huggingface.co/amd/Llama-3.1-8B-Instruct-FP8-KV
-      precision: float8
-      config:
-        tp: 1
-        dtype: auto
-        kv_cache_dtype: fp8
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Llama 3.1 70B FP8
-      mad_tag: pyt_vllm_llama-3.1-70b_fp8
-      model_repo: amd/Llama-3.1-70B-Instruct-FP8-KV
-      url: https://huggingface.co/amd/Llama-3.1-70B-Instruct-FP8-KV
-      precision: float8
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: fp8
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Llama 3.1 405B FP8
-      mad_tag: pyt_vllm_llama-3.1-405b_fp8
-      model_repo: amd/Llama-3.1-405B-Instruct-FP8-KV
-      url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-FP8-KV
-      precision: float8
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: fp8
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-  - group: Mistral AI
-    tag: mistral
-    models:
-    - model: Mixtral MoE 8x7B
-      mad_tag: pyt_vllm_mixtral-8x7b
-      model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
-      url: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
-      precision: float16
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 32768
-        max_num_batched_tokens: 32768
-        max_model_len: 8192
-    - model: Mixtral MoE 8x22B
-      mad_tag: pyt_vllm_mixtral-8x22b
-      model_repo: mistralai/Mixtral-8x22B-Instruct-v0.1
-      url: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
-      precision: float16
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 65536
-        max_num_batched_tokens: 65536
-        max_model_len: 8192
-    - model: Mixtral MoE 8x7B FP8
-      mad_tag: pyt_vllm_mixtral-8x7b_fp8
-      model_repo: amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
-      url: https://huggingface.co/amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
-      precision: float8
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: fp8
-        max_seq_len_to_capture: 32768
-        max_num_batched_tokens: 32768
-        max_model_len: 8192
-    - model: Mixtral MoE 8x22B FP8
-      mad_tag: pyt_vllm_mixtral-8x22b_fp8
-      model_repo: amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
-      url: https://huggingface.co/amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
-      precision: float8
-      config:
-        tp: 8
-        dtype: auto
-        kv_cache_dtype: fp8
-        max_seq_len_to_capture: 65536
-        max_num_batched_tokens: 65536
-        max_model_len: 8192
-  - group: Qwen
-    tag: qwen
-    models:
-    - model: QwQ-32B
-      mad_tag: pyt_vllm_qwq-32b
-      model_repo: Qwen/QwQ-32B
-      url: https://huggingface.co/Qwen/QwQ-32B
-      precision: float16
-      config:
-        tp: 1
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 131072
-        max_num_batched_tokens: 131072
-        max_model_len: 8192
-    - model: Qwen3 30B A3B
-      mad_tag: pyt_vllm_qwen3-30b-a3b
-      model_repo: Qwen/Qwen3-30B-A3B
-      url: https://huggingface.co/Qwen/Qwen3-30B-A3B
-      precision: float16
-      config:
-        tp: 1
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 32768
-        max_num_batched_tokens: 32768
-        max_model_len: 8192
-  - group: Microsoft Phi
-    tag: phi
-    models:
-    - model: Phi-4
-      mad_tag: pyt_vllm_phi-4
-      model_repo: microsoft/phi-4
-      url: https://huggingface.co/microsoft/phi-4
-      config:
-        tp: 1
-        dtype: auto
-        kv_cache_dtype: auto
-        max_seq_len_to_capture: 16384
-        max_num_batched_tokens: 16384
-        max_model_len: 8192

docs/data/how-to/rocm-for-ai/inference/sglang-distributed-benchmark-models.yaml

@@ -1,32 +0,0 @@
-dockers:
-  - pull_tag: lmsysorg/sglang:v0.5.2rc1-rocm700-mi30x
-    docker_hub_url: https://hub.docker.com/layers/lmsysorg/sglang/v0.5.2rc1-rocm700-mi30x/images/sha256-10c4ee502ddba44dd8c13325e6e03868bfe7f43d23d0a44780a8ee8b393f4729
-    components:
-      ROCm: 7.0.0
-      SGLang: v0.5.2rc1
-      pytorch-triton-rocm: 3.4.0+rocm7.0.0.gitf9e5bf54
-model_groups:
-  - group: Dense models
-    tag: dense-models
-    models:
-      - model: Llama 3.1 8B Instruct
-        model_repo: Llama-3.1-8B-Instruct
-        url: https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
-      - model: Llama 3.1 405B FP8 KV
-        model_repo: Llama-3.1-405B-Instruct-FP8-KV
-        url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-FP8-KV
-      - model: Llama 3.3 70B FP8 KV
-        model_repo: amd-Llama-3.3-70B-Instruct-FP8-KV
-        url: https://huggingface.co/amd/Llama-3.3-70B-Instruct-FP8-KV
-      - model: Qwen3 32B
-        model_repo: Qwen3-32B
-        url: https://huggingface.co/Qwen/Qwen3-32B
-  - group: Small experts models
-    tag: small-experts-models
-    models:
-      - model: DeepSeek V3
-        model_repo: DeepSeek-V3
-        url: https://huggingface.co/deepseek-ai/DeepSeek-V3
-      - model: Mixtral 8x7B v0.1
-        model_repo: Mixtral-8x7B-v0.1
-        url: https://huggingface.co/mistralai/Mixtral-8x7B-v0.1

docs/data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml

@@ -1,316 +1,188 @@
 dockers:
-  - pull_tag: rocm/vllm:rocm7.0.0_vllm_0.10.2_20251006
-    docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm7.0.0_vllm_0.10.2_20251006/images/sha256-94fd001964e1cf55c3224a445b1fb5be31a7dac302315255db8422d813edd7f5
+  - pull_tag: rocm/vllm:rocm6.4.1_vllm_0.10.1_20250909
+    docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.10.1_20250909/images/sha256-1113268572e26d59b205792047bea0e61e018e79aeadceba118b7bf23cb3715c
     components:
-      ROCm: 7.0.0
-      vLLM: 0.10.2 (0.11.0rc2.dev160+g790d22168.rocm700)
-      PyTorch: 2.9.0a0+git1c57644
-      hipBLASLt: 1.0.0
-    dockerfile:
-      commit: 790d22168820507f3105fef29596549378cfe399
+      ROCm: 6.4.1
+      vLLM: 0.10.1 (0.10.1rc2.dev409+g0b6bf6691.rocm641)
+      PyTorch: 2.7.0+gitf717b2a
+      hipBLASLt: 0.15
 model_groups:
   - group: Meta Llama
     tag: llama
     models:
-      - model: Llama 2 70B
-        mad_tag: pyt_vllm_llama-2-70b
-        model_repo: meta-llama/Llama-2-70b-chat-hf
-        url: https://huggingface.co/meta-llama/Llama-2-70b-chat-hf
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 4096
-          max_model_len: 4096
-      - model: Llama 3.1 8B
-        mad_tag: pyt_vllm_llama-3.1-8b
-        model_repo: meta-llama/Llama-3.1-8B-Instruct
-        url: https://huggingface.co/meta-llama/Llama-3.1-8B
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.1 8B FP8
-        mad_tag: pyt_vllm_llama-3.1-8b_fp8
-        model_repo: amd/Llama-3.1-8B-Instruct-FP8-KV
-        url: https://huggingface.co/amd/Llama-3.1-8B-Instruct-FP8-KV
-        precision: float8
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.1 405B
-        mad_tag: pyt_vllm_llama-3.1-405b
-        model_repo: meta-llama/Llama-3.1-405B-Instruct
-        url: https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.1 405B FP8
-        mad_tag: pyt_vllm_llama-3.1-405b_fp8
-        model_repo: amd/Llama-3.1-405B-Instruct-FP8-KV
-        url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-FP8-KV
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.1 405B MXFP4
-        mad_tag: pyt_vllm_llama-3.1-405b_fp4
-        model_repo: amd/Llama-3.1-405B-Instruct-MXFP4-Preview
-        url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-MXFP4-Preview
-        precision: float4
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.3 70B
-        mad_tag: pyt_vllm_llama-3.3-70b
-        model_repo: meta-llama/Llama-3.3-70B-Instruct
-        url: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.3 70B FP8
-        mad_tag: pyt_vllm_llama-3.3-70b_fp8
-        model_repo: amd/Llama-3.3-70B-Instruct-FP8-KV
-        url: https://huggingface.co/amd/Llama-3.3-70B-Instruct-FP8-KV
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 3.3 70B MXFP4
-        mad_tag: pyt_vllm_llama-3.3-70b_fp4
-        model_repo: amd/Llama-3.3-70B-Instruct-MXFP4-Preview
-        url: https://huggingface.co/amd/Llama-3.3-70B-Instruct-MXFP4-Preview
-        precision: float4
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-      - model: Llama 4 Scout 17Bx16E
-        mad_tag: pyt_vllm_llama-4-scout-17b-16e
-        model_repo: meta-llama/Llama-4-Scout-17B-16E-Instruct
-        url: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 32768
-          max_model_len: 8192
-      - model: Llama 4 Maverick 17Bx128E
-        mad_tag: pyt_vllm_llama-4-maverick-17b-128e
-        model_repo: meta-llama/Llama-4-Maverick-17B-128E-Instruct
-        url: https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 32768
-          max_model_len: 8192
-      - model: Llama 4 Maverick 17Bx128E FP8
-        mad_tag: pyt_vllm_llama-4-maverick-17b-128e_fp8
-        model_repo: meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8
-        url: https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-  - group: DeepSeek
-    tag: deepseek
-    models:
-      - model: DeepSeek R1 0528 FP8
-        mad_tag: pyt_vllm_deepseek-r1
-        model_repo: deepseek-ai/DeepSeek-R1-0528
-        url: https://huggingface.co/deepseek-ai/DeepSeek-R1-0528
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_seqs: 1024
-          max_num_batched_tokens: 131072
-          max_model_len: 8192
-  - group: OpenAI GPT OSS
-    tag: gpt-oss
-    models:
-      - model: GPT OSS 20B
-        mad_tag: pyt_vllm_gpt-oss-20b
-        model_repo: openai/gpt-oss-20b
-        url: https://huggingface.co/openai/gpt-oss-20b
-        precision: bfloat16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 8192
-          max_model_len: 8192
-      - model: GPT OSS 120B
-        mad_tag: pyt_vllm_gpt-oss-120b
-        model_repo: openai/gpt-oss-120b
-        url: https://huggingface.co/openai/gpt-oss-120b
-        precision: bfloat16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 8192
-          max_model_len: 8192
+    - model: Llama 3.1 8B
+      mad_tag: pyt_vllm_llama-3.1-8b
+      model_repo: meta-llama/Llama-3.1-8B-Instruct
+      url: https://huggingface.co/meta-llama/Llama-3.1-8B
+      precision: float16
+      config:
+        tp: 1
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Llama 3.1 70B
+      mad_tag: pyt_vllm_llama-3.1-70b
+      model_repo: meta-llama/Llama-3.1-70B-Instruct
+      url: https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct
+      precision: float16
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Llama 3.1 405B
+      mad_tag: pyt_vllm_llama-3.1-405b
+      model_repo: meta-llama/Llama-3.1-405B-Instruct
+      url: https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct
+      precision: float16
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Llama 2 70B
+      mad_tag: pyt_vllm_llama-2-70b
+      model_repo: meta-llama/Llama-2-70b-chat-hf
+      url: https://huggingface.co/meta-llama/Llama-2-70b-chat-hf
+      precision: float16
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 4096
+        max_num_batched_tokens: 4096
+        max_model_len: 4096
+    - model: Llama 3.1 8B FP8
+      mad_tag: pyt_vllm_llama-3.1-8b_fp8
+      model_repo: amd/Llama-3.1-8B-Instruct-FP8-KV
+      url: https://huggingface.co/amd/Llama-3.1-8B-Instruct-FP8-KV
+      precision: float8
+      config:
+        tp: 1
+        dtype: auto
+        kv_cache_dtype: fp8
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Llama 3.1 70B FP8
+      mad_tag: pyt_vllm_llama-3.1-70b_fp8
+      model_repo: amd/Llama-3.1-70B-Instruct-FP8-KV
+      url: https://huggingface.co/amd/Llama-3.1-70B-Instruct-FP8-KV
+      precision: float8
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: fp8
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Llama 3.1 405B FP8
+      mad_tag: pyt_vllm_llama-3.1-405b_fp8
+      model_repo: amd/Llama-3.1-405B-Instruct-FP8-KV
+      url: https://huggingface.co/amd/Llama-3.1-405B-Instruct-FP8-KV
+      precision: float8
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: fp8
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
   - group: Mistral AI
     tag: mistral
     models:
-      - model: Mixtral MoE 8x7B
-        mad_tag: pyt_vllm_mixtral-8x7b
-        model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
-        url: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 32768
-          max_model_len: 8192
-      - model: Mixtral MoE 8x7B FP8
-        mad_tag: pyt_vllm_mixtral-8x7b_fp8
-        model_repo: amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
-        url: https://huggingface.co/amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 32768
-          max_model_len: 8192
-      - model: Mixtral MoE 8x22B
-        mad_tag: pyt_vllm_mixtral-8x22b
-        model_repo: mistralai/Mixtral-8x22B-Instruct-v0.1
-        url: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 65536
-          max_model_len: 8192
-      - model: Mixtral MoE 8x22B FP8
-        mad_tag: pyt_vllm_mixtral-8x22b_fp8
-        model_repo: amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
-        url: https://huggingface.co/amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 65536
-          max_model_len: 8192
+    - model: Mixtral MoE 8x7B
+      mad_tag: pyt_vllm_mixtral-8x7b
+      model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
+      url: https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
+      precision: float16
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 32768
+        max_num_batched_tokens: 32768
+        max_model_len: 8192
+    - model: Mixtral MoE 8x22B
+      mad_tag: pyt_vllm_mixtral-8x22b
+      model_repo: mistralai/Mixtral-8x22B-Instruct-v0.1
+      url: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
+      precision: float16
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 65536
+        max_num_batched_tokens: 65536
+        max_model_len: 8192
+    - model: Mixtral MoE 8x7B FP8
+      mad_tag: pyt_vllm_mixtral-8x7b_fp8
+      model_repo: amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
+      url: https://huggingface.co/amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV
+      precision: float8
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: fp8
+        max_seq_len_to_capture: 32768
+        max_num_batched_tokens: 32768
+        max_model_len: 8192
+    - model: Mixtral MoE 8x22B FP8
+      mad_tag: pyt_vllm_mixtral-8x22b_fp8
+      model_repo: amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
+      url: https://huggingface.co/amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV
+      precision: float8
+      config:
+        tp: 8
+        dtype: auto
+        kv_cache_dtype: fp8
+        max_seq_len_to_capture: 65536
+        max_num_batched_tokens: 65536
+        max_model_len: 8192
   - group: Qwen
     tag: qwen
     models:
-      - model: Qwen3 8B
-        mad_tag: pyt_vllm_qwen3-8b
-        model_repo: Qwen/Qwen3-8B
-        url: https://huggingface.co/Qwen/Qwen3-8B
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
-      - model: Qwen3 32B
-        mad_tag: pyt_vllm_qwen3-32b
-        model_repo: Qwen/Qwen3-32b
-        url: https://huggingface.co/Qwen/Qwen3-32B
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
-      - model: Qwen3 30B A3B
-        mad_tag: pyt_vllm_qwen3-30b-a3b
-        model_repo: Qwen/Qwen3-30B-A3B
-        url: https://huggingface.co/Qwen/Qwen3-30B-A3B
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
-      - model: Qwen3 30B A3B FP8
-        mad_tag: pyt_vllm_qwen3-30b-a3b_fp8
-        model_repo: Qwen/Qwen3-30B-A3B-FP8
-        url: https://huggingface.co/Qwen/Qwen3-30B-A3B-FP8
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
-      - model: Qwen3 235B A22B
-        mad_tag: pyt_vllm_qwen3-235b-a22b
-        model_repo: Qwen/Qwen3-235B-A22B
-        url: https://huggingface.co/Qwen/Qwen3-235B-A22B
-        precision: float16
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
-      - model: Qwen3 235B A22B FP8
-        mad_tag: pyt_vllm_qwen3-235b-a22b_fp8
-        model_repo: Qwen/Qwen3-235B-A22B-FP8
-        url: https://huggingface.co/Qwen/Qwen3-235B-A22B-FP8
-        precision: float8
-        config:
-          tp: 8
-          dtype: auto
-          kv_cache_dtype: fp8
-          max_num_batched_tokens: 40960
-          max_model_len: 8192
+    - model: QwQ-32B
+      mad_tag: pyt_vllm_qwq-32b
+      model_repo: Qwen/QwQ-32B
+      url: https://huggingface.co/Qwen/QwQ-32B
+      precision: float16
+      config:
+        tp: 1
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 131072
+        max_num_batched_tokens: 131072
+        max_model_len: 8192
+    - model: Qwen3 30B A3B
+      mad_tag: pyt_vllm_qwen3-30b-a3b
+      model_repo: Qwen/Qwen3-30B-A3B
+      url: https://huggingface.co/Qwen/Qwen3-30B-A3B
+      precision: float16
+      config:
+        tp: 1
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 32768
+        max_num_batched_tokens: 32768
+        max_model_len: 8192
   - group: Microsoft Phi
     tag: phi
     models:
-      - model: Phi-4
-        mad_tag: pyt_vllm_phi-4
-        model_repo: microsoft/phi-4
-        url: https://huggingface.co/microsoft/phi-4
-        precision: float16
-        config:
-          tp: 1
-          dtype: auto
-          kv_cache_dtype: auto
-          max_num_batched_tokens: 16384
-          max_model_len: 8192
+    - model: Phi-4
+      mad_tag: pyt_vllm_phi-4
+      model_repo: microsoft/phi-4
+      url: https://huggingface.co/microsoft/phi-4
+      config:
+        tp: 1
+        dtype: auto
+        kv_cache_dtype: auto
+        max_seq_len_to_capture: 16384
+        max_num_batched_tokens: 16384
+        max_model_len: 8192

docs/data/how-to/rocm-for-ai/training/jax-maxtext-benchmark-models.yaml

@@ -1,12 +1,4 @@
 dockers:
-  - pull_tag: rocm/jax-training:maxtext-v25.7-jax060
-    docker_hub_url: https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.7/images/sha256-45f4c727d4019a63fc47313d3a5f5a5105569539294ddfd2d742218212ae9025
-    components:
-      ROCm: 6.4.1
-      JAX: 0.6.0
-      Python: 3.10.12
-      Transformer Engine: 2.1.0+90d703dd
-      hipBLASLt: 1.1.0-499ece1c21
   - pull_tag: rocm/jax-training:maxtext-v25.7
     docker_hub_url: https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.7/images/sha256-45f4c727d4019a63fc47313d3a5f5a5105569539294ddfd2d742218212ae9025
     components:
@@ -15,6 +7,14 @@ dockers:
       Python: 3.10.12
       Transformer Engine: 2.1.0+90d703dd
       hipBLASLt: 1.x.x
+  - pull_tag: rocm/jax-training:maxtext-v25.7-jax060
+    docker_hub_url: https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.7/images/sha256-45f4c727d4019a63fc47313d3a5f5a5105569539294ddfd2d742218212ae9025
+    components:
+      ROCm: 6.4.1
+      JAX: 0.6.0
+      Python: 3.10.12
+      Transformer Engine: 2.1.0+90d703dd
+      hipBLASLt: 1.1.0-499ece1c21
 model_groups:
   - group: Meta Llama
     tag: llama

docs/data/how-to/rocm-for-ai/training/megatron-lm-benchmark-models.yaml

@@ -1,12 +1,13 @@
 dockers:
-  - pull_tag: rocm/megatron-lm:v25.8_py310
-    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.8_py310/images/sha256-50fc824361054e445e86d5d88d5f58817f61f8ec83ad4a7e43ea38bbc4a142c0
+  - pull_tag: rocm/megatron-lm:v25.7_py310
+    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.7_py310/images/sha256-6189df849feeeee3ae31bb1e97aef5006d69d2b90c134e97708c19632e20ab5a
     components:
-      ROCm: 6.4.3
+      ROCm: 6.4.2
+      Primus: v0.1.0-rc1
       PyTorch: 2.8.0a0+gitd06a406
       Python: "3.10"
-      Transformer Engine: 2.2.0.dev0+54dd2bdc
-      hipBLASLt: d1b517fc7a
+      Transformer Engine: 2.1.0.dev0+ba586519
+      hipBLASLt: 37ba1d36
       Triton: 3.3.0
       RCCL: 2.22.3
 model_groups:

docs/data/how-to/rocm-for-ai/training/previous-versions/megatron-lm-v25.7-benchmark-models.yaml

@@ -1,49 +0,0 @@
-dockers:
-  - pull_tag: rocm/megatron-lm:v25.7_py310
-    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.7_py310/images/sha256-6189df849feeeee3ae31bb1e97aef5006d69d2b90c134e97708c19632e20ab5a
-    components:
-      ROCm: 6.4.2
-      Primus: v0.1.0-rc1
-      PyTorch: 2.8.0a0+gitd06a406
-      Python: "3.10"
-      Transformer Engine: 2.1.0.dev0+ba586519
-      hipBLASLt: 37ba1d36
-      Triton: 3.3.0
-      RCCL: 2.22.3
-model_groups:
-  - group: Meta Llama
-    tag: llama
-    models:
-      - model: Llama 3.3 70B
-        mad_tag: pyt_megatron_lm_train_llama-3.3-70b
-      - model: Llama 3.1 8B
-        mad_tag: pyt_megatron_lm_train_llama-3.1-8b
-      - model: Llama 3.1 70B
-        mad_tag: pyt_megatron_lm_train_llama-3.1-70b
-      - model: Llama 3.1 70B (proxy)
-        mad_tag: pyt_megatron_lm_train_llama-3.1-70b-proxy
-      - model: Llama 2 7B
-        mad_tag: pyt_megatron_lm_train_llama-2-7b
-      - model: Llama 2 70B
-        mad_tag: pyt_megatron_lm_train_llama-2-70b
-  - group: DeepSeek
-    tag: deepseek
-    models:
-      - model: DeepSeek-V3 (proxy)
-        mad_tag: pyt_megatron_lm_train_deepseek-v3-proxy
-      - model: DeepSeek-V2-Lite
-        mad_tag: pyt_megatron_lm_train_deepseek-v2-lite-16b
-  - group: Mistral AI
-    tag: mistral
-    models:
-      - model: Mixtral 8x7B
-        mad_tag: pyt_megatron_lm_train_mixtral-8x7b
-      - model: Mixtral 8x22B (proxy)
-        mad_tag: pyt_megatron_lm_train_mixtral-8x22b-proxy
-  - group: Qwen
-    tag: qwen
-    models:
-      - model: Qwen 2.5 7B
-        mad_tag: pyt_megatron_lm_train_qwen2.5-7b
-      - model: Qwen 2.5 72B
-        mad_tag: pyt_megatron_lm_train_qwen2.5-72b

docs/data/how-to/rocm-for-ai/training/previous-versions/primus-megatron-v25.7-benchmark-models.yaml

@@ -1,58 +0,0 @@
-dockers:
-  - pull_tag: rocm/megatron-lm:v25.7_py310
-    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.7_py310/images/sha256-6189df849feeeee3ae31bb1e97aef5006d69d2b90c134e97708c19632e20ab5a
-    components:
-      ROCm: 6.4.2
-      Primus: v0.1.0-rc1
-      PyTorch: 2.8.0a0+gitd06a406
-      Python: "3.10"
-      Transformer Engine: 2.1.0.dev0+ba586519
-      hipBLASLt: 37ba1d36
-      Triton: 3.3.0
-      RCCL: 2.22.3
-model_groups:
-  - group: Meta Llama
-    tag: llama
-    models:
-      - model: Llama 3.3 70B
-        mad_tag: primus_pyt_megatron_lm_train_llama-3.3-70b
-        config_name: llama3.3_70B-pretrain.yaml
-      - model: Llama 3.1 70B
-        mad_tag: primus_pyt_megatron_lm_train_llama-3.1-70b
-        config_name: llama3.1_70B-pretrain.yaml
-      - model: Llama 3.1 8B
-        mad_tag: primus_pyt_megatron_lm_train_llama-3.1-8b
-        config_name: llama3.1_8B-pretrain.yaml
-      - model: Llama 2 7B
-        mad_tag: primus_pyt_megatron_lm_train_llama-2-7b
-        config_name: llama2_7B-pretrain.yaml
-      - model: Llama 2 70B
-        mad_tag: primus_pyt_megatron_lm_train_llama-2-70b
-        config_name: llama2_70B-pretrain.yaml
-  - group: DeepSeek
-    tag: deepseek
-    models:
-      - model: DeepSeek-V3 (proxy)
-        mad_tag: primus_pyt_megatron_lm_train_deepseek-v3-proxy
-        config_name: deepseek_v3-pretrain.yaml
-      - model: DeepSeek-V2-Lite
-        mad_tag: primus_pyt_megatron_lm_train_deepseek-v2-lite-16b
-        config_name: deepseek_v2_lite-pretrain.yaml
-  - group: Mistral AI
-    tag: mistral
-    models:
-      - model: Mixtral 8x7B
-        mad_tag: primus_pyt_megatron_lm_train_mixtral-8x7b
-        config_name: mixtral_8x7B_v0.1-pretrain.yaml
-      - model: Mixtral 8x22B (proxy)
-        mad_tag: primus_pyt_megatron_lm_train_mixtral-8x22b-proxy
-        config_name: mixtral_8x22B_v0.1-pretrain.yaml
-  - group: Qwen
-    tag: qwen
-    models:
-      - model: Qwen 2.5 7B
-        mad_tag: primus_pyt_megatron_lm_train_qwen2.5-7b
-        config_name: primus_qwen2.5_7B-pretrain.yaml
-      - model: Qwen 2.5 72B
-        mad_tag: primus_pyt_megatron_lm_train_qwen2.5-72b
-        config_name: qwen2.5_72B-pretrain.yaml

docs/data/how-to/rocm-for-ai/training/previous-versions/pytorch-training-v25.7-benchmark-models.yaml

@@ -1,162 +0,0 @@
-dockers:
-  - pull_tag: rocm/pytorch-training:v25.7
-    docker_hub_url: https://hub.docker.com/layers/rocm/pytorch-training/v25.7/images/sha256-cc6fd840ab89cb81d926fc29eca6d075aee9875a55a522675a4b9231c9a0a712
-    components:
-      ROCm: 6.4.2
-      PyTorch: 2.8.0a0+gitd06a406
-      Python: 3.10.18
-      Transformer Engine: 2.2.0.dev0+94e53dd8
-      Flash Attention: 3.0.0.post1
-      hipBLASLt: 1.1.0-4b9a52edfc
-      Triton: 3.3.0
-model_groups:
-  - group: Meta Llama
-    tag: llama
-    models:
-    - model: Llama 4 Scout 17B-16E
-      mad_tag: pyt_train_llama-4-scout-17b-16e
-      model_repo: Llama-4-17B_16E
-      url: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 3.3 70B
-      mad_tag: pyt_train_llama-3.3-70b
-      model_repo: Llama-3.3-70B
-      url: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora, finetune_qlora]
-    - model: Llama 3.2 1B
-      mad_tag: pyt_train_llama-3.2-1b
-      model_repo: Llama-3.2-1B
-      url: https://huggingface.co/meta-llama/Llama-3.2-1B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 3.2 3B
-      mad_tag: pyt_train_llama-3.2-3b
-      model_repo: Llama-3.2-3B
-      url: https://huggingface.co/meta-llama/Llama-3.2-3B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 3.2 Vision 11B
-      mad_tag: pyt_train_llama-3.2-vision-11b
-      model_repo: Llama-3.2-Vision-11B
-      url: https://huggingface.co/meta-llama/Llama-3.2-11B-Vision
-      precision: BF16
-      training_modes: [finetune_fw]
-    - model: Llama 3.2 Vision 90B
-      mad_tag: pyt_train_llama-3.2-vision-90b
-      model_repo: Llama-3.2-Vision-90B
-      url: https://huggingface.co/meta-llama/Llama-3.2-90B-Vision
-      precision: BF16
-      training_modes: [finetune_fw]
-    - model: Llama 3.1 8B
-      mad_tag: pyt_train_llama-3.1-8b
-      model_repo: Llama-3.1-8B
-      url: https://huggingface.co/meta-llama/Llama-3.1-8B
-      precision: BF16
-      training_modes: [pretrain, finetune_fw, finetune_lora, HF_pretrain]
-    - model: Llama 3.1 70B
-      mad_tag: pyt_train_llama-3.1-70b
-      model_repo: Llama-3.1-70B
-      url: https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct
-      precision: BF16
-      training_modes: [pretrain, finetune_fw, finetune_lora]
-    - model: Llama 3.1 405B
-      mad_tag: pyt_train_llama-3.1-405b
-      model_repo: Llama-3.1-405B
-      url: https://huggingface.co/meta-llama/Llama-3.1-405B
-      precision: BF16
-      training_modes: [finetune_qlora]
-    - model: Llama 3 8B
-      mad_tag: pyt_train_llama-3-8b
-      model_repo: Llama-3-8B
-      url: https://huggingface.co/meta-llama/Meta-Llama-3-8B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 3 70B
-      mad_tag: pyt_train_llama-3-70b
-      model_repo: Llama-3-70B
-      url: https://huggingface.co/meta-llama/Meta-Llama-3-70B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 2 7B
-      mad_tag: pyt_train_llama-2-7b
-      model_repo: Llama-2-7B
-      url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora, finetune_qlora]
-    - model: Llama 2 13B
-      mad_tag: pyt_train_llama-2-13b
-      model_repo: Llama-2-13B
-      url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Llama 2 70B
-      mad_tag: pyt_train_llama-2-70b
-      model_repo: Llama-2-70B
-      url: https://github.com/meta-llama/llama-models/tree/main/models/llama2
-      precision: BF16
-      training_modes: [finetune_lora, finetune_qlora]
-  - group: OpenAI
-    tag: openai
-    models:
-    - model: GPT OSS 20B
-      mad_tag: pyt_train_gpt_oss_20b
-      model_repo: GPT-OSS-20B
-      url: https://huggingface.co/openai/gpt-oss-20b
-      precision: BF16
-      training_modes: [HF_finetune_lora]
-    - model: GPT OSS 120B
-      mad_tag: pyt_train_gpt_oss_120b
-      model_repo: GPT-OSS-120B
-      url: https://huggingface.co/openai/gpt-oss-120b
-      precision: BF16
-      training_modes: [HF_finetune_lora]
-  - group: Qwen
-    tag: qwen
-    models:
-    - model: Qwen 3 8B
-      mad_tag: pyt_train_qwen3-8b
-      model_repo: Qwen3-8B
-      url: https://huggingface.co/Qwen/Qwen3-8B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Qwen 3 32B
-      mad_tag: pyt_train_qwen3-32b
-      model_repo: Qwen3-32
-      url: https://huggingface.co/Qwen/Qwen3-32B
-      precision: BF16
-      training_modes: [finetune_lora]
-    - model: Qwen 2.5 32B
-      mad_tag: pyt_train_qwen2.5-32b
-      model_repo: Qwen2.5-32B
-      url: https://huggingface.co/Qwen/Qwen2.5-32B
-      precision: BF16
-      training_modes: [finetune_lora]
-    - model: Qwen 2.5 72B
-      mad_tag: pyt_train_qwen2.5-72b
-      model_repo: Qwen2.5-72B
-      url: https://huggingface.co/Qwen/Qwen2.5-72B
-      precision: BF16
-      training_modes: [finetune_lora]
-    - model: Qwen 2 1.5B
-      mad_tag: pyt_train_qwen2-1.5b
-      model_repo: Qwen2-1.5B
-      url: https://huggingface.co/Qwen/Qwen2-1.5B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-    - model: Qwen 2 7B
-      mad_tag: pyt_train_qwen2-7b
-      model_repo: Qwen2-7B
-      url: https://huggingface.co/Qwen/Qwen2-7B
-      precision: BF16
-      training_modes: [finetune_fw, finetune_lora]
-  - group: Flux
-    tag: flux
-    models:
-    - model: FLUX.1-dev
-      mad_tag: pyt_train_flux
-      model_repo: Flux
-      url: https://huggingface.co/black-forest-labs/FLUX.1-dev
-      precision: BF16
-      training_modes: [pretrain]

docs/data/how-to/rocm-for-ai/training/primus-megatron-benchmark-models.yaml

@@ -1,13 +1,13 @@
 dockers:
-  - pull_tag: rocm/megatron-lm:v25.8_py310
-    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.8_py310/images/sha256-50fc824361054e445e86d5d88d5f58817f61f8ec83ad4a7e43ea38bbc4a142c0
+  - pull_tag: rocm/megatron-lm:v25.7_py310
+    docker_hub_url: https://hub.docker.com/layers/rocm/megatron-lm/v25.7_py310/images/sha256-6189df849feeeee3ae31bb1e97aef5006d69d2b90c134e97708c19632e20ab5a
     components:
-      ROCm: 6.4.3
-      Primus: 927a717
+      ROCm: 6.4.2
+      Primus: v0.1.0-rc1
       PyTorch: 2.8.0a0+gitd06a406
       Python: "3.10"
-      Transformer Engine: 2.2.0.dev0+54dd2bdc
-      hipBLASLt: d1b517fc7a
+      Transformer Engine: 2.1.0.dev0+ba586519
+      hipBLASLt: 37ba1d36
       Triton: 3.3.0
       RCCL: 2.22.3
 model_groups:

docs/data/how-to/rocm-for-ai/training/primus-pytorch-benchmark-models.yaml

@@ -1,24 +0,0 @@
-dockers:
-  - pull_tag: rocm/pytorch-training:v25.8
-    docker_hub_url: https://hub.docker.com/layers/rocm/pytorch-training/v25.8/images/sha256-5082ae01d73fec6972b0d84e5dad78c0926820dcf3c19f301d6c8eb892e573c5
-    components:
-      ROCm: 6.4.3
-      PyTorch: 2.8.0a0+gitd06a406
-      Python: 3.10.18
-      Transformer Engine: 2.2.0.dev0+a1e66aae
-      Flash Attention: 3.0.0.post1
-      hipBLASLt: 1.1.0-d1b517fc7a
-model_groups:
-  - group: Meta Llama
-    tag: llama
-    models:
-    - model: Llama 3.1 8B
-      mad_tag: primus_pyt_train_llama-3.1-8b
-      model_repo: Llama-3.1-8B
-      url: https://huggingface.co/meta-llama/Llama-3.1-8B
-      precision: BF16
-    - model: Llama 3.1 70B
-      mad_tag: primus_pyt_train_llama-3.1-70b
-      model_repo: Llama-3.1-70B
-      url: https://huggingface.co/meta-llama/Llama-3.1-70B
-      precision: BF16

docs/data/how-to/rocm-for-ai/training/pytorch-training-benchmark-models.yaml

@@ -1,13 +1,14 @@
 dockers:
-  - pull_tag: rocm/pytorch-training:v25.8
-    docker_hub_url: https://hub.docker.com/layers/rocm/pytorch-training/v25.8/images/sha256-5082ae01d73fec6972b0d84e5dad78c0926820dcf3c19f301d6c8eb892e573c5
+  - pull_tag: rocm/pytorch-training:v25.7
+    docker_hub_url: https://hub.docker.com/layers/rocm/pytorch-training/v25.7/images/sha256-cc6fd840ab89cb81d926fc29eca6d075aee9875a55a522675a4b9231c9a0a712
     components:
-      ROCm: 6.4.3
+      ROCm: 6.4.2
       PyTorch: 2.8.0a0+gitd06a406
       Python: 3.10.18
-      Transformer Engine: 2.2.0.dev0+a1e66aae
+      Transformer Engine: 2.2.0.dev0+94e53dd8
       Flash Attention: 3.0.0.post1
-      hipBLASLt: 1.1.0-d1b517fc7a
+      hipBLASLt: 1.1.0-4b9a52edfc
+      Triton: 3.3.0
 model_groups:
   - group: Meta Llama
     tag: llama
@@ -150,15 +151,6 @@ model_groups:
       url: https://huggingface.co/Qwen/Qwen2-7B
       precision: BF16
       training_modes: [finetune_fw, finetune_lora]
-  - group: Stable Diffusion
-    tag: sd
-    models:
-    - model: Stable Diffusion XL
-      mad_tag: pyt_huggingface_stable_diffusion_xl_2k_lora_finetuning
-      model_repo: SDXL
-      url: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
-      precision: BF16
-      training_modes: [finetune_lora]
   - group: Flux
     tag: flux
     models:
@@ -168,11 +160,3 @@ model_groups:
       url: https://huggingface.co/black-forest-labs/FLUX.1-dev
       precision: BF16
       training_modes: [pretrain]
-  - group: NCF
-    tag: ncf
-    models:
-    - model: NCF
-      mad_tag: pyt_ncf_training
-      model_repo:
-      url: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Recommendation/NCF
-      precision: FP32

docs/data/reference/gpu-atomics-operation/cas-atomics_nopcie_instinct.csv

@@ -1,325 +1,325 @@
-Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X series,MI300A,MI350X series
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native,⚠️ Scope Downgrade - CAS
-32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native,⚠️ Scope Downgrade - CAS
-64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ CAS,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ CAS,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native,⚠️ Scope Downgrade - CAS
-32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
+Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X,MI300A
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ CAS
+32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ CAS
+64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,✅ CAS,✅ CAS
+32 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicSub,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicInc,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicDec,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atoimcExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicExch,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicCAS,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicOr,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit atomicXor,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade - CAS,✅ CAS

docs/data/reference/gpu-atomics-operation/cas-atomics_pcie_instinct.csv

@@ -1,325 +1,325 @@
-Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X series,MI300A,MI350X series
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X,MI300A
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicSub,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicInc,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicDec,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 half2 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atoimcExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicExch,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicOr,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit atomicXor,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS

docs/data/reference/gpu-atomics-operation/hw-atomics_nopcie_instinct.csv

@@ -1,325 +1,325 @@
-Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X series,MI300A,MI350X series
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS,⚠️ Scope Downgrade - CAS
-64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
+Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X,MI300A
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade,✅ Native
+32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAdd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicMin,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS
+32 bit float atomicMax,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade - CAS,✅ CAS
+64 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMin,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMax,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 bfloat162 atomicAdd,❌ NOP,❌ NOP,✅ CAS,⚠️ Scope Downgrade,✅ Native
+32 bit atoimcExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicExch,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicCAS,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native

docs/data/reference/gpu-atomics-operation/hw-atomics_pcie_instinct.csv

@@ -1,325 +1,325 @@
-Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X series,MI300A,MI350X series
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native,✅ Native
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
-64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
-64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
-64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native,⚠️ Scope Downgrade
+Atomic,MI100,MI200 PCIe,MI200 A+A,MI300X,MI300A
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,⚠️ Scope Downgrade,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 half2 atomicAdd,✅ NoReturn,✅ Native,✅ Native,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,✅ Native,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,✅ Native,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,✅ Native,✅ Native
+32 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicSub,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicInc,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicDec,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicAdd,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicMin,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicMax,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+32 bit float atomicMin,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+32 bit float atomicMax,✅ CAS,✅ CAS,✅ CAS,✅ CAS,✅ CAS
+64 bit float atomicAdd,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMin,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+64 bit float atomicMax,✅ CAS,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 half2 atomicAdd,❌ NOP,❌ NOP,❌ NOP,⚠️ Scope Downgrade,✅ Native
+16bx2 bfloat162 atomicAdd,✅ CAS,✅ CAS,✅ CAS,⚠️ Scope Downgrade,✅ Native
+32 bit atoimcExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+32 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+32 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicExch,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicCAS,✅ Native,✅ Native,✅ Native,✅ Native,✅ Native
+64 bit atomicAnd,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicOr,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native
+64 bit atomicXor,❌ NOP,❌ NOP,✅ Native,⚠️ Scope Downgrade,✅ Native

docs/data/reference/precision-support/precision-support.yaml

@@ -1,391 +0,0 @@
-# rocm-library-support.yaml
-library_groups:
-  - group: "ML & Computer Vision"
-    tag: "ml-cv"
-    libraries:
-      - name: "Composable Kernel"
-        tag: "composable-kernel"
-        doc_link: "composable_kernel:reference/Composable_Kernel_supported_scalar_types"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "float4"
-            support: "✅"
-          - type: "float6 (E2M3)"
-            support: "✅"
-          - type: "float6 (E3M2)"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "MIGraphX"
-        tag: "migraphx"
-        doc_link: "amdmigraphx:reference/MIGraphX-cpp"
-        data_types:
-          - type: "int8"
-            support: "⚠️"
-          - type: "int16"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "int64"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "MIOpen"
-        tag: "miopen"
-        doc_link: "miopen:reference/datatypes"
-        data_types:
-          - type: "int8"
-            support: "⚠️"
-          - type: "int32"
-            support: "⚠️"
-          - type: "float8 (E4M3)"
-            support: "⚠️"
-          - type: "float8 (E5M2)"
-            support: "⚠️"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "⚠️"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "⚠️"
-
-  - group: "Communication"
-    tag: "communication"
-    libraries:
-      - name: "RCCL"
-        tag: "rccl"
-        doc_link: "rccl:api-reference/library-specification"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "int64"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-  - group: "Math Libraries"
-    tag: "math-libs"
-    libraries:
-      - name: "hipBLAS"
-        tag: "hipblas"
-        doc_link: "hipblas:reference/data-type-support"
-        data_types:
-          - type: "float16"
-            support: "⚠️"
-          - type: "bfloat16"
-            support: "⚠️"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "hipBLASLt"
-        tag: "hipblaslt"
-        doc_link: "hipblaslt:reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "float4"
-            support: "✅"
-          - type: "float6 (E2M3)"
-            support: "✅"
-          - type: "float6 (E3M2)"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-
-      - name: "hipFFT"
-        tag: "hipfft"
-        doc_link: "hipfft:reference/fft-api-usage"
-        data_types:
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "hipRAND"
-        tag: "hiprand"
-        doc_link: "hiprand:api-reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "Output only"
-          - type: "int16"
-            support: "Output only"
-          - type: "int32"
-            support: "Output only"
-          - type: "int64"
-            support: "Output only"
-          - type: "float16"
-            support: "Output only"
-          - type: "float32"
-            support: "Output only"
-          - type: "float64"
-            support: "Output only"
-
-      - name: "hipSOLVER"
-        tag: "hipsolver"
-        doc_link: "hipsolver:reference/precision"
-        data_types:
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "hipSPARSE"
-        tag: "hipsparse"
-        doc_link: "hipsparse:reference/precision"
-        data_types:
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "hipSPARSELt"
-        tag: "hipsparselt"
-        doc_link: "hipsparselt:reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-
-      - name: "rocBLAS"
-        tag: "rocblas"
-        doc_link: "rocblas:reference/data-type-support"
-        data_types:
-          - type: "float16"
-            support: "⚠️"
-          - type: "bfloat16"
-            support: "⚠️"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocFFT"
-        tag: "rocfft"
-        doc_link: "rocfft:reference/api"
-        data_types:
-          - type: "float16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocRAND"
-        tag: "rocrand"
-        doc_link: "rocrand:api-reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "Output only"
-          - type: "int16"
-            support: "Output only"
-          - type: "int32"
-            support: "Output only"
-          - type: "int64"
-            support: "Output only"
-          - type: "float16"
-            support: "Output only"
-          - type: "float32"
-            support: "Output only"
-          - type: "float64"
-            support: "Output only"
-
-      - name: "rocSOLVER"
-        tag: "rocsolver"
-        doc_link: "rocsolver:reference/precision"
-        data_types:
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocSPARSE"
-        tag: "rocsparse"
-        doc_link: "rocsparse:reference/precision"
-        data_types:
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocWMMA"
-        tag: "rocwmma"
-        doc_link: "rocwmma:api-reference/api-reference-guide"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int32"
-            support: "Output only"
-          - type: "float8 (E4M3)"
-            support: "Input only"
-          - type: "float8 (E5M2)"
-            support: "Input only"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "tensorfloat32"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "Tensile"
-        tag: "tensile"
-        doc_link: "tensile:src/reference/precision-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "float8 (E4M3)"
-            support: "✅"
-          - type: "float8 (E5M2)"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "tensorfloat32"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-  - group: "Primitives"
-    tag: "primitives"
-    libraries:
-      - name: "hipCUB"
-        tag: "hipcub"
-        doc_link: "hipcub:api-reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int16"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "int64"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "hipTensor"
-        tag: "hiptensor"
-        doc_link: "hiptensor:api-reference/api-reference"
-        data_types:
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocPRIM"
-        tag: "rocprim"
-        doc_link: "rocprim:reference/data-type-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int16"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "int64"
-            support: "✅"
-          - type: "float16"
-            support: "✅"
-          - type: "bfloat16"
-            support: "✅"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"
-
-      - name: "rocThrust"
-        tag: "rocthrust"
-        doc_link: "rocthrust:data-type-support"
-        data_types:
-          - type: "int8"
-            support: "✅"
-          - type: "int16"
-            support: "✅"
-          - type: "int32"
-            support: "✅"
-          - type: "int64"
-            support: "✅"
-          - type: "float16"
-            support: "⚠️"
-          - type: "bfloat16"
-            support: "⚠️"
-          - type: "float32"
-            support: "✅"
-          - type: "float64"
-            support: "✅"

docs/how-to/deep-learning-rocm.rst

@@ -116,22 +116,10 @@ The table below summarizes information about ROCm-enabled deep learning framewor
           <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html"><i class="fas fa-link fa-lg"></i></a>
       - 
         - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html#use-a-prebuilt-docker-image-with-llama-cpp-pre-installed>`__
-        - `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/llama-cpp-install.html#build-your-own-docker-image>`__
       - .. raw:: html
 
           <a href="https://github.com/ROCm/llama.cpp"><i class="fab fa-github fa-lg"></i></a>
 
-    * - `FlashInfer <https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/flashinfer-compatibility.html>`__
-      - .. raw:: html
-
-          <a href="https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html"><i class="fas fa-link fa-lg"></i></a>
-      - 
-        - `Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html#use-a-prebuilt-docker-image-with-flashinfer-pre-installed>`__
-        - `ROCm Base Docker image <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/flashinfer-install.html#build-your-own-docker-image>`__
-      - .. raw:: html
-
-          <a href="https://github.com/ROCm/flashinfer"><i class="fab fa-github fa-lg"></i></a>
-
 Learn how to use your ROCm deep learning environment for training, fine-tuning, inference, and performance optimization
 through the following guides.
 

docs/how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.10.1-20250909.rst

@@ -1,448 +0,0 @@
-:orphan:
-
-.. meta::
-   :description: Learn how to validate LLM inference performance on MI300X accelerators using AMD MAD and the ROCm vLLM Docker image.
-   :keywords: model, MAD, automation, dashboarding, validate
-
-**********************************
-vLLM inference performance testing
-**********************************
-
-.. caution::
-
-   This documentation does not reflect the latest version of ROCm vLLM
-   inference performance documentation. See :doc:`../vllm` for the latest version.
-
-.. _vllm-benchmark-unified-docker-909:
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/previous-versions/vllm_0.10.1_20250909-benchmark-models.yaml
-
-   {% set docker = data.dockers[0] %}
-
-   The `ROCm vLLM Docker <{{ docker.docker_hub_url }}>`_ image offers
-   a prebuilt, optimized environment for validating large language model (LLM)
-   inference performance on AMD Instinct™ MI300X series accelerators. This ROCm vLLM
-   Docker image integrates vLLM and PyTorch tailored specifically for MI300X series
-   accelerators and includes the following components:
-
-   .. list-table::
-      :header-rows: 1
-
-      * - Software component
-        - Version
-
-      {% for component_name, component_version in docker.components.items() %}
-      * - {{ component_name }}
-        - {{ component_version }}
-      {% endfor %}
-
-With this Docker image, you can quickly test the :ref:`expected
-inference performance numbers <vllm-benchmark-performance-measurements-909>` for
-MI300X series accelerators.
-
-What's new
-==========
-
-The following is summary of notable changes since the :doc:`previous ROCm/vLLM Docker release <vllm-history>`.
-
-* Upgraded to vLLM v0.10.1.
-
-* Set ``VLLM_V1_USE_PREFILL_DECODE_ATTENTION=1`` by default for better performance.
-
-* Set ``VLLM_ROCM_USE_AITER_RMSNORM=0`` by default to avoid various issues with torch compile.
-
-.. _vllm-benchmark-supported-models-909:
-
-Supported models
-================
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/previous-versions/vllm_0.10.1_20250909-benchmark-models.yaml
-
-   {% set docker = data.dockers[0] %}
-   {% set model_groups = data.model_groups %}
-
-   .. _vllm-benchmark-available-models-909:
-
-   The following models are supported for inference performance benchmarking
-   with vLLM and ROCm. Some instructions, commands, and recommendations in this
-   documentation might vary by model -- select one to get started.
-
-   .. raw:: html
-
-      <div id="vllm-benchmark-ud-params-picker" class="container-fluid">
-         <div class="row gx-0">
-            <div class="col-2 me-1 px-2 model-param-head">Model</div>
-            <div class="row col-10 pe-0">
-      {% for model_group in model_groups %}
-               <div class="col-3 px-2 model-param" data-param-k="model-group" data-param-v="{{ model_group.tag }}" tabindex="0">{{ model_group.group }}</div>
-      {% endfor %}
-            </div>
-         </div>
-
-         <div class="row gx-0 pt-1">
-            <div class="col-2 me-1 px-2 model-param-head">Variant</div>
-            <div class="row col-10 pe-0">
-      {% for model_group in model_groups %}
-         {% set models = model_group.models %}
-         {% for model in models %}
-            {% if models|length % 3 == 0 %}
-               <div class="col-4 px-2 model-param" data-param-k="model" data-param-v="{{ model.mad_tag }}" data-param-group="{{ model_group.tag }}" tabindex="0">{{ model.model }}</div>
-            {% else %}
-               <div class="col-6 px-2 model-param" data-param-k="model" data-param-v="{{ model.mad_tag }}" data-param-group="{{ model_group.tag }}" tabindex="0">{{ model.model }}</div>
-            {% endif %}
-         {% endfor %}
-      {% endfor %}
-            </div>
-         </div>
-      </div>
-
-   .. _vllm-benchmark-vllm-909:
-
-   {% for model_group in model_groups %}
-      {% for model in model_group.models %}
-
-   .. container:: model-doc {{ model.mad_tag }}
-
-      .. note::
-
-         See the `{{ model.model }} model card on Hugging Face <{{ model.url }}>`_ to learn more about your selected model.
-         Some models require access authorization prior to use via an external license agreement through a third party.
-      {% if model.precision == "float8" and model.model_repo.startswith("amd") %}
-         This model uses FP8 quantization via `AMD Quark <https://quark.docs.amd.com/latest/>`__ for efficient inference on AMD accelerators.
-      {% endif %}
-
-      {% endfor %}
-   {% endfor %}
-
-.. _vllm-benchmark-performance-measurements-909:
-
-Performance measurements
-========================
-
-To evaluate performance, the
-`Performance results with AMD ROCm software <https://www.amd.com/en/developer/resources/rocm-hub/dev-ai/performance-results.html>`_
-page provides reference throughput and serving measurements for inferencing popular AI models.
-
-.. important::
-
-   The performance data presented in
-   `Performance results with AMD ROCm software <https://www.amd.com/en/developer/resources/rocm-hub/dev-ai/performance-results.html>`_
-   only reflects the latest version of this inference benchmarking environment.
-   The listed measurements should not be interpreted as the peak performance achievable by AMD Instinct MI325X and MI300X accelerators or ROCm software.
-
-System validation
-=================
-
-Before running AI workloads, it's important to validate that your AMD hardware is configured
-correctly and performing optimally.
-
-If you have already validated your system settings, including aspects like NUMA auto-balancing, you
-can skip this step. Otherwise, complete the procedures in the :ref:`System validation and
-optimization <rocm-for-ai-system-optimization>` guide to properly configure your system settings
-before starting training.
-
-To test for optimal performance, consult the recommended :ref:`System health benchmarks
-<rocm-for-ai-system-health-bench>`. This suite of tests will help you verify and fine-tune your
-system's configuration.
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/previous-versions/vllm_0.10.1_20250909-benchmark-models.yaml
-
-   {% set docker = data.dockers[0] %}
-   {% set model_groups = data.model_groups %}
-
-   Pull the Docker image
-   =====================
-
-   Download the `ROCm vLLM Docker image <{{ docker.docker_hub_url }}>`_.
-   Use the following command to pull the Docker image from Docker Hub.
-
-   .. code-block:: shell
-
-      docker pull {{ docker.pull_tag }}
-
-   Benchmarking
-   ============
-
-   Once the setup is complete, choose between two options to reproduce the
-   benchmark results:
-
-   .. _vllm-benchmark-mad-909:
-
-   {% for model_group in model_groups %}
-      {% for model in model_group.models %}
-
-   .. container:: model-doc {{model.mad_tag}}
-
-      .. tab-set::
-
-         .. tab-item:: MAD-integrated benchmarking
-
-            The following run command is tailored to {{ model.model }}.
-            See :ref:`vllm-benchmark-supported-models-909` to switch to another available model.
-
-            1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
-               directory and install the required packages on the host machine.
-
-               .. code-block:: shell
-
-                  git clone https://github.com/ROCm/MAD
-                  cd MAD
-                  pip install -r requirements.txt
-
-            2. Use this command to run the performance benchmark test on the `{{model.model}} <{{ model.url }}>`_ model
-               using one GPU with the :literal:`{{model.precision}}` data type on the host machine.
-
-               .. code-block:: shell
-
-                  export MAD_SECRETS_HFTOKEN="your personal Hugging Face token to access gated models"
-                  madengine run \
-                      --tags {{model.mad_tag}} \
-                      --keep-model-dir \
-                      --live-output \
-                      --timeout 28800
-
-            MAD launches a Docker container with the name
-            ``container_ci-{{model.mad_tag}}``. The throughput and serving reports of the
-            model are collected in the following paths: ``{{ model.mad_tag }}_throughput.csv``
-            and ``{{ model.mad_tag }}_serving.csv``.
-
-            Although the :ref:`available models
-            <vllm-benchmark-available-models-909>` are preconfigured to collect
-            offline throughput and online serving performance data, you can
-            also change the benchmarking parameters. See the standalone
-            benchmarking tab for more information.
-
-            {% if model.tunableop %}
-
-            .. note::
-
-               For improved performance, consider enabling :ref:`PyTorch TunableOp <mi300x-tunableop>`.
-               TunableOp automatically explores different implementations and configurations of certain PyTorch
-               operators to find the fastest one for your hardware.
-
-               By default, ``{{model.mad_tag}}`` runs with TunableOp disabled (see
-               `<https://github.com/ROCm/MAD/blob/develop/models.json>`__). To enable it, include
-               the ``--tunableop on`` argument in your run.
-
-               Enabling TunableOp triggers a two-pass run -- a warm-up followed by the
-               performance-collection run.
-
-            {% endif %}
-
-         .. tab-item:: Standalone benchmarking
-
-            The following commands are optimized for {{ model.model }}.
-            See :ref:`vllm-benchmark-supported-models-909` to switch to another available model.
-
-            .. seealso::
-
-               For more information on configuration, see the `config files
-               <https://github.com/ROCm/MAD/tree/develop/scripts/vllm/configs>`__
-               in the MAD repository. Refer to the `vLLM engine <https://docs.vllm.ai/en/latest/configuration/engine_args.html#engineargs>`__
-               for descriptions of available configuration options
-               and `Benchmarking vLLM <https://github.com/vllm-project/vllm/blob/main/benchmarks/README.md>`__ for
-               additional benchmarking information.
-
-            .. rubric:: Launch the container
-
-            You can run the vLLM benchmark tool independently by starting the
-            `Docker container <{{ docker.docker_hub_url }}>`_ as shown
-            in the following snippet.
-
-            .. code-block:: shell
-
-               docker pull {{ docker.pull_tag }}
-               docker run -it \
-                   --device=/dev/kfd \
-                   --device=/dev/dri \
-                   --group-add video \
-                   --shm-size 16G \
-                   --security-opt seccomp=unconfined \
-                   --security-opt apparmor=unconfined \
-                   --cap-add=SYS_PTRACE \
-                   -v $(pwd):/workspace \
-                   --env HUGGINGFACE_HUB_CACHE=/workspace \
-                   --name test \
-                   {{ docker.pull_tag }}
-
-            .. rubric:: Throughput command
-
-            Use the following command to start the throughput benchmark.
-
-            .. code-block:: shell
-
-               model={{ model.model_repo }}
-               tp={{ model.config.tp }}
-               num_prompts=1024
-               in=128
-               out=128
-               dtype={{ model.config.dtype }}
-               kv_cache_dtype={{ model.config.kv_cache_dtype }}
-               max_num_seqs=1024
-               max_seq_len_to_capture={{ model.config.max_seq_len_to_capture }}
-               max_num_batched_tokens={{ model.config.max_num_batched_tokens }}
-               max_model_len={{ model.config.max_model_len }}
-
-               vllm bench throughput --model $model \
-                   -tp $tp \
-                   --num-prompts $num_prompts \
-                   --input-len $in \
-                   --output-len $out \
-                   --dtype $dtype \
-                   --kv-cache-dtype $kv_cache_dtype \
-                   --max-num-seqs $max_num_seqs \
-                   --max-seq-len-to-capture $max_seq_len_to_capture \
-                   --max-num-batched-tokens $max_num_batched_tokens \
-                   --max-model-len $max_model_len \
-                   --trust-remote-code \
-                   --output-json ${model}_throughput.json \
-                   --gpu-memory-utilization 0.9
-
-            .. rubric:: Serving command
-
-            1. Start the server using the following command:
-
-               .. code-block:: shell
-
-                  model={{ model.model_repo }}
-                  tp={{ model.config.tp }}
-                  dtype={{ model.config.dtype }}
-                  kv_cache_dtype={{ model.config.kv_cache_dtype }}
-                  max_num_seqs=256
-                  max_seq_len_to_capture={{ model.config.max_seq_len_to_capture }}
-                  max_num_batched_tokens={{ model.config.max_num_batched_tokens }}
-                  max_model_len={{ model.config.max_model_len }}
-
-                  vllm serve $model \
-                      -tp $tp \
-                      --dtype $dtype \
-                      --kv-cache-dtype $kv_cache_dtype \
-                      --max-num-seqs $max_num_seqs \
-                      --max-seq-len-to-capture $max_seq_len_to_capture \
-                      --max-num-batched-tokens $max_num_batched_tokens \
-                      --max-model-len $max_model_len \
-                      --no-enable-prefix-caching \
-                      --swap-space 16 \
-                      --disable-log-requests \
-                      --trust-remote-code \
-                      --gpu-memory-utilization 0.9
-
-               Wait until the model has loaded and the server is ready to accept requests.
-
-            2. On another terminal on the same machine, run the benchmark:
-
-               .. code-block:: shell
-
-                  # Connect to the container
-                  docker exec -it test bash
-
-                  # Wait for the server to start
-                  until curl -s http://localhost:8000/v1/models; do sleep 30; done
-
-                  # Run the benchmark
-                  model={{ model.model_repo }}
-                  max_concurrency=1
-                  num_prompts=10
-                  in=128
-                  out=128
-                  vllm bench serve --model $model \
-                      --percentile-metrics "ttft,tpot,itl,e2el" \
-                      --dataset-name random \
-                      --ignore-eos \
-                      --max-concurrency $max_concurrency \
-                      --num-prompts $num_prompts \
-                      --random-input-len $in \
-                      --random-output-len $out \
-                      --trust-remote-code \
-                      --save-result \
-                      --result-filename ${model}_serving.json
-
-            .. note::
-
-               For improved performance with certain Mixture of Experts models, such as Mixtral 8x22B,
-               try adding ``export VLLM_ROCM_USE_AITER=1`` to your commands.
-
-               If you encounter the following error, pass your access-authorized Hugging
-               Face token to the gated models.
-
-               .. code-block::
-
-                  OSError: You are trying to access a gated repo.
-
-                  # pass your HF_TOKEN
-                  export HF_TOKEN=$your_personal_hf_token
-
-            .. raw:: html
-
-               <style>
-               mjx-container[jax="CHTML"][display="true"] {
-                  text-align: left;
-                  margin: 0;
-               }
-               </style>
-
-            .. note::
-
-               Throughput is calculated as:
-
-               - .. math:: throughput\_tot = requests \times (\mathsf{\text{input lengths}} + \mathsf{\text{output lengths}}) / elapsed\_time
-
-               - .. math:: throughput\_gen = requests \times \mathsf{\text{output lengths}} / elapsed\_time
-      {% endfor %}
-   {% endfor %}
-
-Advanced usage
-==============
-
-For information on experimental features and known issues related to ROCm optimization efforts on vLLM,
-see the developer's guide at `<https://github.com/ROCm/vllm/blob/documentation/docs/dev-docker/README.md>`__.
-
-Reproducing the Docker image
-----------------------------
-
-To reproduce this ROCm/vLLM Docker image release, follow these steps:
-
-1. Clone the `vLLM repository <https://github.com/ROCm/vllm>`__.
-
-   .. code-block:: shell
-
-      git clone https://github.com/ROCm/vllm.git
-
-2. Checkout the specific release commit.
-
-   .. code-block:: shell
-
-      cd vllm
-      git checkout 6663000a391911eba96d7864a26ac42b07f6ef29
-
-3. Build the Docker image. Replace ``vllm-rocm`` with your desired image tag.
-
-   .. code-block:: shell
-
-      docker build -f docker/Dockerfile.rocm -t vllm-rocm .
-
-Further reading
-===============
-
-- To learn more about the options for latency and throughput benchmark scripts,
-  see `<https://github.com/ROCm/vllm/tree/main/benchmarks>`_.
-
-- To learn more about MAD and the ``madengine`` CLI, see the `MAD usage guide <https://github.com/ROCm/MAD?tab=readme-ov-file#usage-guide>`__.
-
-- To learn more about system settings and management practices to configure your system for
-  AMD Instinct MI300X series accelerators, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
-
-- See :ref:`fine-tuning-llms-vllm` and :ref:`mi300x-vllm-optimization` for
-  a brief introduction to vLLM and optimization strategies.
-
-- For application performance optimization strategies for HPC and AI workloads,
-  including inference with vLLM, see :doc:`/how-to/rocm-for-ai/inference-optimization/workload`.
-
-- For a list of other ready-made Docker images for AI with ROCm, see
-  `AMD Infinity Hub <https://www.amd.com/en/developer/resources/infinity-hub.html#f-amd_hub_category=AI%20%26%20ML%20Models>`_.
-
-Previous versions
-=================
-
-See :doc:`vllm-history` to find documentation for previous releases
-of the ``ROCm/vllm`` Docker image.

docs/how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-0.8.5-20250521.rst

@@ -120,7 +120,7 @@ vLLM inference performance testing
    ==================================
 
    For information on experimental features and known issues related to ROCm optimization efforts on vLLM,
-   see the developer's guide at `<https://github.com/ROCm/vllm/blob/7bb0618b1fe725b7d4fad9e525aa44da12c94a8b/docs/dev-docker/README.md>`__.
+   see the developer's guide at `<https://github.com/ROCm/vllm/blob/main/docs/dev-docker/README.md>`__.
 
    System validation
    =================

docs/how-to/rocm-for-ai/inference/benchmark-docker/previous-versions/vllm-history.rst

@@ -7,7 +7,7 @@ vLLM inference performance testing version history
 This table lists previous versions of the ROCm vLLM inference Docker image for
 inference performance testing. For detailed information about available models
 for benchmarking, see the version-specific documentation. You can find tagged
-previous releases of the ``ROCm/vllm`` Docker image on `Docker Hub <https://hub.docker.com/r/rocm/vllm/tags>`__.
+previous releases of the ``ROCm/vllm`` Docker image on `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.10.1_20250909/images/sha256-1113268572e26d59b205792047bea0e61e018e79aeadceba118b7bf23cb3715c>`__.
 
 .. list-table::
    :header-rows: 1
@@ -16,121 +16,103 @@ previous releases of the ``ROCm/vllm`` Docker image on `Docker Hub <https://hub.
      - Components
      - Resources
 
-   * - ``rocm/vllm:rocm7.0.0_vllm_0.10.2_20251006``
-       (latest)
-     -
-       * ROCm 7.0.0
-       * vLLM 0.10.2
-       * PyTorch 2.9.0
-     -
-       * :doc:`Documentation <../vllm>`
-       * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm7.0.0_vllm_0.10.2_20251006/images/sha256-94fd001964e1cf55c3224a445b1fb5be31a7dac302315255db8422d813edd7f5>`__
-
-   * - ``rocm/vllm:rocm6.4.1_vllm_0.10.1_20250909``
-     -
-       * ROCm 6.4.1
-       * vLLM 0.10.1
-       * PyTorch 2.7.0
-     -
-       * :doc:`Documentation <vllm-0.10.1-20250909>`
-       * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.10.1_20250909/images/sha256-1113268572e26d59b205792047bea0e61e018e79aeadceba118b7bf23cb3715c>`__
-
    * - ``rocm/vllm:rocm6.4.1_vllm_0.10.0_20250812``
-     -
+       (latest)
+     - 
        * ROCm 6.4.1
        * vLLM 0.10.0
        * PyTorch 2.7.0
-     -
-       * :doc:`Documentation <vllm-0.10.0-20250812>`
+     - 
+       * :doc:`Documentation <../vllm>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.10.0_20250812/images/sha256-4c277ad39af3a8c9feac9b30bf78d439c74d9b4728e788a419d3f1d0c30cacaa>`__
 
    * - ``rocm/vllm:rocm6.4.1_vllm_0.9.1_20250715``
-     -
+     - 
        * ROCm 6.4.1
        * vLLM 0.9.1
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.9.1-20250715>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.9.1_20250715/images/sha256-4a429705fa95a58f6d20aceab43b1b76fa769d57f32d5d28bd3f4e030e2a78ea>`__
 
    * - ``rocm/vllm:rocm6.4.1_vllm_0.9.1_20250702``
-     -
+     - 
        * ROCm 6.4.1
        * vLLM 0.9.1
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.9.1-20250702>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.9.1_20250702/images/sha256-45068a2079cb8df554ed777141bf0c67d6627c470a897256e60c9f262677faab>`__
 
    * - ``rocm/vllm:rocm6.4.1_vllm_0.9.0.1_20250605``
-     -
+     - 
        * ROCm 6.4.1
        * vLLM 0.9.0.1
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.9.0.1-20250605>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.4.1_vllm_0.9.0.1_20250605/images/sha256-f48beeb3d72663a93c77211eb45273d564451447c097e060befa713d565fa36c>`__
 
    * - ``rocm/vllm:rocm6.3.1_vllm_0.8.5_20250521``
-     -
+     - 
        * ROCm 6.3.1
        * 0.8.5 vLLM (0.8.6.dev)
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.8.5-20250521>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_vllm_0.8.5_20250521/images/sha256-38410c51af7208897cd8b737c9bdfc126e9bc8952d4aa6b88c85482f03092a11>`__
 
    * - ``rocm/vllm:rocm6.3.1_vllm_0.8.5_20250513``
-     -
+     - 
        * ROCm 6.3.1
        * vLLM 0.8.5
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.8.5-20250513>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_vllm_0.8.5_20250513/images/sha256-5c8b4436dd0464119d9df2b44c745fadf81512f18ffb2f4b5dc235c71ebe26b4>`__
 
    * - ``rocm/vllm:rocm6.3.1_instinct_vllm0.8.3_20250415``
-     -
+     - 
        * ROCm 6.3.1
        * vLLM 0.8.3
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.8.3-20250415>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.8.3_20250415/images/sha256-ad9062dea3483d59dedb17c67f7c49f30eebd6eb37c3fac0a171fb19696cc845>`__
 
    * - ``rocm/vllm:rocm6.3.1_instinct_vllm0.7.3_20250325``
-     -
+     - 
        * ROCm 6.3.1
        * vLLM 0.7.3
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.7.3-20250325>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.7.3_20250325/images/sha256-25245924f61750b19be6dcd8e787e46088a496c1fe17ee9b9e397f3d84d35640>`__
 
    * - ``rocm/vllm:rocm6.3.1_mi300_ubuntu22.04_py3.12_vllm_0.6.6``
-     -
+     - 
        * ROCm 6.3.1
        * vLLM 0.6.6
        * PyTorch 2.7.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.6.6>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_mi300_ubuntu22.04_py3.12_vllm_0.6.6/images/sha256-9a12ef62bbbeb5a4c30a01f702c8e025061f575aa129f291a49fbd02d6b4d6c9>`__
 
    * - ``rocm/vllm:rocm6.2_mi300_ubuntu20.04_py3.9_vllm_0.6.4``
-     -
+     - 
        * ROCm 6.2.1
        * vLLM 0.6.4
        * PyTorch 2.5.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.6.4>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.2_mi300_ubuntu20.04_py3.9_vllm_0.6.4/images/sha256-ccbb74cc9e7adecb8f7bdab9555f7ac6fc73adb580836c2a35ca96ff471890d8>`__
 
    * - ``rocm/vllm:rocm6.2_mi300_ubuntu22.04_py3.9_vllm_7c5fd50``
-     -
+     - 
        * ROCm 6.2.0
        * vLLM 0.4.3
        * PyTorch 2.4.0
-     -
+     - 
        * :doc:`Documentation <vllm-0.4.3>`
        * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.2_mi300_ubuntu22.04_py3.9_vllm_7c5fd50/images/sha256-9e4dd4788a794c3d346d7d0ba452ae5e92d39b8dfac438b2af8efdc7f15d22c0>`__
 

docs/how-to/rocm-for-ai/inference/benchmark-docker/pytorch-inference.rst

@@ -16,7 +16,7 @@ PyTorch inference performance testing
 
    The `ROCm PyTorch Docker <https://hub.docker.com/r/rocm/pytorch/tags>`_ image offers a prebuilt,
    optimized environment for testing model inference performance on AMD Instinct™ MI300X series
-   GPUs. This guide demonstrates how to use the AMD Model Automation and Dashboarding (MAD)
+   accelerators. This guide demonstrates how to use the AMD Model Automation and Dashboarding (MAD)
    tool with the ROCm PyTorch container to test inference performance on various models efficiently.
 
    .. _pytorch-inference-benchmark-available-models:
@@ -175,7 +175,7 @@ Further reading
 - To learn more about MAD and the ``madengine`` CLI, see the `MAD usage guide <https://github.com/ROCm/MAD?tab=readme-ov-file#usage-guide>`__.
 
 - To learn more about system settings and management practices to configure your system for
-  AMD Instinct MI300X series GPUs, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
+  AMD Instinct MI300X series accelerators, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
 
 - For application performance optimization strategies for HPC and AI workloads,
   including inference with vLLM, see :doc:`../../inference-optimization/workload`.

docs/how-to/rocm-for-ai/inference/benchmark-docker/sglang-distributed.rst

@@ -1,257 +0,0 @@
-.. meta::
-   :description: SGLang multi-node disaggregated distributed inference using Mooncake
-   :keywords: model, sglang, mooncake, disagg, disaggregated, distributed, multi-node, docker
-
-******************************************
-SGLang distributed inference with Mooncake
-******************************************
-
-As LLM inference increasingly demands handling massive models and dynamic workloads, efficient
-distributed inference becomes essential. Traditional co-located architectures face bottlenecks due
-to tightly coupled memory and compute resources, which limits scalability and flexibility.
-Disaggregated inference refers to the process of splitting the inference of LLMs into distinct
-phases. This architecture, facilitated by libraries like Mooncake, uses high-bandwidth
-RDMA to transfer the Key-Value (KV) cache between prefill and decode nodes.
-This allows for independent resource scaling and optimization, resulting in
-improved efficiency and throughput.
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/sglang-distributed-benchmark-models.yaml
-
-   {% set docker = data.dockers[0] %}
-
-   `SGLang <https://docs.sglang.ai>`__ is a high-performance inference and
-   serving engine for large language models (LLMs) and vision models. The
-   ROCm-enabled `SGLang base Docker image <{{ docker.docker_hub_url }}>`__
-   bundles SGLang with PyTorch, which is optimized for AMD Instinct MI300X series
-   GPUs. It includes the following software components:
-
-   .. list-table::
-      :header-rows: 1
-
-      * - Software component
-        - Version
-
-      {% for component_name, component_version in docker.components.items() %}
-      * - {{ component_name }}
-        - {{ component_version }}
-      {% endfor %}
-
-The following guides on setting up and running SGLang and Mooncake for disaggregated
-distributed inference on a Slurm cluster using AMD Instinct MI300X series GPUs backed by
-Mellanox CX-7 NICs.
-
-Prerequisites
-=============
-
-Before starting, ensure you have:
-
-* A Slurm cluster with at least three nodes: one for the proxy, one for prefill (``xP``), and one for decode (``yD``).
-
-  ``Nodes -> xP + yD + 1``
-
-* A Dockerized environment with SGLang, Mooncake, etcd, and NIC drivers built in. See :ref:`sglang-disagg-inf-build-docker-image` for instructions.
-
-* A shared filesystem for storing models, scripts, and logs (cluster-specific).
-
-Supported models
-================
-
-The following models are supported for SGLang disaggregated prefill/decode
-inference. Some instructions, commands, and recommendations in this
-documentation might vary by selected model.
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/sglang-distributed-benchmark-models.yaml
-
-   {% set model_groups = data.model_groups %}
-   .. raw:: html
-
-      <div id="vllm-benchmark-ud-params-picker" class="container-fluid">
-         <div class="row gx-0">
-            <div class="col-2 me-1 px-2 model-param-head">Model type</div>
-            <div class="row col-10 pe-0">
-      {% for model_group in model_groups %}
-               <div class="col-6 px-2 model-param" data-param-k="model-group" data-param-v="{{ model_group.tag }}" tabindex="0">{{ model_group.group }}</div>
-      {% endfor %}
-            </div>
-         </div>
-
-         <div class="row gx-0 pt-1">
-            <div class="col-2 me-1 px-2 model-param-head">Model</div>
-            <div class="row col-10 pe-0">
-      {% for model_group in model_groups %}
-         {% set models = model_group.models %}
-         {% for model in models %}
-            {% if models|length % 3 == 0 %}
-               <div class="col-4 px-2 model-param" data-param-k="model" data-param-v="{{ model.model_repo | lower }}" data-param-group="{{ model_group.tag }}" tabindex="0">{{ model.model }}</div>
-            {% else %}
-               <div class="col-6 px-2 model-param" data-param-k="model" data-param-v="{{ model.model_repo | lower }}" data-param-group="{{ model_group.tag }}" tabindex="0">{{ model.model }}</div>
-            {% endif %}
-         {% endfor %}
-      {% endfor %}
-            </div>
-         </div>
-      </div>
-
-   {% for model_group in model_groups %}
-      {% for model in model_group.models %}
-
-   .. container:: model-doc {{ model.model_repo }}
-
-      .. note::
-
-         See the `{{ model.model }} model card on Hugging Face <{{ model.url }}>`__ to learn more about this model.
-         Some models require access authorization prior to use through an external license agreement with a third party.
-
-      {% endfor %}
-   {% endfor %}
-
-.. _sglang-disagg-inf-build-docker-image:
-
-Build the Docker image
-----------------------
-
-Get the Dockerfile located in
-`<https://github.com/ROCm/MAD/blob/develop/docker/sglang_disagg_inference.ubuntu.amd.Dockerfile>`__.
-It uses `lmsysorg/sglang:v0.5.2rc1-rocm700-mi30x
-<https://hub.docker.com/layers/lmsysorg/sglang/v0.4.9.post1-rocm630/images/sha256-2f6b1748e4bcc70717875a7da76c87795fd8aa46a9646e08d38aa7232fc78538>`__
-as the base Docker image and installs the necessary components for Mooncake, etcd, and Mellanox network
-drivers.
-
-.. code-block:: shell
-
-   git clone https://github.com/ROCm/MAD.git
-   cd MAD/docker
-   docker build \
-       -t sglang_disagg_pd_image \
-       -f sglang_disagg_inference.ubuntu.amd.Dockerfile .
-
-Benchmarking
-============
-
-The `<https://github.com/ROCm/MAD/tree/develop/scripts/sglang_disagg>`__
-repository contains scripts to launch SGLang inference with prefill/decode
-disaggregation via Mooncake for supported models.
-
-* `scripts/sglang_dissag/run_xPyD_models.slurm <https://github.com/ROCm/MAD/blob/develop/scripts/sglang_disagg/run_xPyD_models.slurm>`__
-  -- the main Slurm batch script to launch Docker containers on all nodes using ``sbatch`` or ``salloc``.
-
-* `scripts/sglang_dissag/sglang_disagg_server.sh <https://github.com/ROCm/MAD/blob/develop/scripts/sglang_disagg/sglang_disagg_server.sh>`__
-  -- the entrypoint script that runs inside each container to start the correct service -- proxy, prefill, or decode.
-
-* `scripts/sglang_dissag/benchmark_xPyD.sh <https://github.com/ROCm/MAD/blob/develop/scripts/sglang_disagg/benchmark_xPyD.sh>`__
-  -- the benchmark script to run the GSM8K accuracy benchmark and the SGLang benchmarking tool for performance measurement.
-
-* `scripts/sglang_dissag/benchmark_parser.py <https://github.com/ROCm/MAD/blob/develop/scripts/sglang_disagg/benchmark_parser.py>`__
-  -- the log parser script to be run on the concurrency benchmark log file to generate tabulated data.
-
-Launch the service
-------------------
-
-The service is deployed using a Slurm batch script that orchestrates the containers across the
-allocated nodes.
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/sglang-distributed-benchmark-models.yaml
-
-   {% set model_groups = data.model_groups %}
-   {% for model_group in model_groups %}
-      {% for model in model_group.models %}
-
-   .. container:: model-doc {{ model.model_repo }}
-
-      .. code-block:: shell
-
-         # Clone the MAD repo if you haven't already and
-         # navigate to the scripts directory
-         git clone https://github.com/ROCm/MAD.git
-         cd MAD/scripts/sglang_disagg/
-
-         # Slurm sbatch run command
-         export DOCKER_IMAGE_NAME=sglang_disagg_pd_image
-         export xP=<num_prefill_nodes>
-         export yD=<num_decode_nodes>
-         export MODEL_NAME={{ model.model_repo }}
-         # num_nodes = xP + yD + 1
-         sbatch -N <num_nodes> -n <num_nodes> --nodelist=<Nodes> run_xPyD_models.slurm
-
-      {% endfor %}
-   {% endfor %}
-
-Post-run logs and testing
--------------------------
-
-Logs are stored in your shared filesystem in the directory specified by the ``LOG_PATH`` variable in the Slurm script.
-A new directory named after the Slurm job ID is created for each run.
-
-Inside that directory, you can access various logs:
-
-* ``pd_sglang_bench_serving.sh_NODE<...>.log`` -- the main log for each server node.
-
-* ``etcd_NODE<...>.log`` -- logs for etcd services.
-
-* ``prefill_NODE<...>.log`` -- logs for the prefill services.
-
-* ``decode_NODE<...>.log`` -- logs for the decode services.
-
-Use the benchmark parser script for concurrency logs to tabulate different data.
-
-.. code-block:: shell
-
-   python3 benchmark_parser.py <log_path/benchmark_XXX_CONCURRENCY.log>
-
-To verify the service is responsive, you can try sending a ``curl`` request to test the launched
-server from the Docker container on the proxy node. For example:
-
-.. code-block:: shell
-
-   curl -X POST http://127.0.0.1:30000/generate \
-       -H "Content-Type: application/json" \
-       -d '{ "text": "Let me tell you a story ", "sampling_params": { "temperature": 0.3 } }'
-
-Known issues
-============
-
-When running larger models, such as DeepSeek-V3 and Llama-3.1-405B-Instruct-FP8-KV, at
-higher concurrency levels (512+), the following error might occur:
-
-.. code-block:: shell-session
-
-   <TransferEncodingError: 400, message:
-    Not enough data to satisfy transfer length header.
-
-   The above exception was the direct cause of the following exception:
-
-   Traceback (most recent call last):
-   ...
-
-This leads to dropping requests and lower throughput.
-
-Further reading
-===============
-
-- To learn about Mooncake, see `Welcome to Mooncake <https://kvcache-ai.github.io/Mooncake/>`__.
-
-- To learn more about the options for latency and throughput benchmark scripts,
-  see `<https://github.com/sgl-project/sglang/tree/main/benchmark/blog_v0_2>`__.
-
-- See the base upstream Docker image on `Docker Hub <https://hub.docker.com/layers/lmsysorg/sglang/v0.5.2rc1-rocm700-mi30x/images/sha256-10c4ee502ddba44dd8c13325e6e03868bfe7f43d23d0a44780a8ee8b393f4729>`__.
-
-- To learn more about system settings and management practices to configure your system for
-  MI300X series GPUs, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`__.
-
-- For application performance optimization strategies for HPC and AI workloads,
-  including inference with vLLM, see :doc:`/how-to/rocm-for-ai/inference-optimization/workload`.
-
-- To learn how to run community models from Hugging Face on AMD GPUs, see
-  :doc:`Running models from Hugging Face </how-to/rocm-for-ai/inference/hugging-face-models>`.
-
-- To learn how to fine-tune LLMs and optimize inference, see
-  :doc:`Fine-tuning LLMs and inference optimization </how-to/rocm-for-ai/fine-tuning/fine-tuning-and-inference>`.
-
-- For a list of other ready-made Docker images for AI with ROCm, see
-  `AMD Infinity Hub <https://www.amd.com/en/developer/resources/infinity-hub.html#f-amd_hub_category=AI%20%26%20ML%20Models>`_.
-
-Previous versions
-=================
-
-See :doc:`previous-versions/sglang-history` to find documentation for previous releases
-of SGLang inference performance testing.

docs/how-to/rocm-for-ai/inference/benchmark-docker/vllm.rst

@@ -1,68 +1,51 @@
 .. meta::
-   :description: Learn how to validate LLM inference performance on MI300X accelerators using AMD MAD and the ROCm vLLM Docker image.
+   :description: Learn how to validate LLM inference performance on MI300X accelerators using AMD MAD and the
+                 ROCm vLLM Docker image.
    :keywords: model, MAD, automation, dashboarding, validate
 
 **********************************
 vLLM inference performance testing
 **********************************
 
-.. _vllm-benchmark-unified-docker-930:
+.. _vllm-benchmark-unified-docker-909:
 
 .. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
 
    {% set docker = data.dockers[0] %}
 
-   The `ROCm vLLM Docker <{{ docker.docker_hub_url }}>`_ image offers a
-   prebuilt, optimized environment for validating large language model (LLM)
-   inference performance on AMD Instinct™ MI355X, MI350X, MI325X and MI300X
-   GPUs. This ROCm vLLM Docker image integrates vLLM and PyTorch tailored
-   specifically for AMD data center GPUs and includes the following components:
+   The `ROCm vLLM Docker <{{ docker.docker_hub_url }}>`_ image offers
+   a prebuilt, optimized environment for validating large language model (LLM)
+   inference performance on AMD Instinct™ MI300X series accelerators. This ROCm vLLM
+   Docker image integrates vLLM and PyTorch tailored specifically for MI300X series
+   accelerators and includes the following components:
 
-   .. tab-set::
+   .. list-table::
+      :header-rows: 1
 
-      .. tab-item:: {{ docker.pull_tag }}
+      * - Software component
+        - Version
 
-         .. list-table::
-            :header-rows: 1
-
-            * - Software component
-              - Version
-
-            {% for component_name, component_version in docker.components.items() %}
-            * - {{ component_name }}
-              - {{ component_version }}
-            {% endfor %}
+      {% for component_name, component_version in docker.components.items() %}
+      * - {{ component_name }}
+        - {{ component_version }}
+      {% endfor %}
 
 With this Docker image, you can quickly test the :ref:`expected
-inference performance numbers <vllm-benchmark-performance-measurements-930>` for
-AMD Instinct GPUs.
+inference performance numbers <vllm-benchmark-performance-measurements-909>` for
+MI300X series accelerators.
 
 What's new
 ==========
 
 The following is summary of notable changes since the :doc:`previous ROCm/vLLM Docker release <previous-versions/vllm-history>`.
 
-* Added support for AMD Instinct MI355X and MI350X GPUs.
+* Upgraded to vLLM v0.10.1.
 
-* Added support and benchmarking instructions for the following models. See :ref:`vllm-benchmark-supported-models-930`.
+* Set ``VLLM_V1_USE_PREFILL_DECODE_ATTENTION=1`` by default for better performance.
 
-  * Llama 4 Scout and Maverick
+* Set ``VLLM_ROCM_USE_AITER_RMSNORM=0`` by default to avoid various issues with torch compile.
 
-  * DeepSeek R1 0528 FP8
-
-  * MXFP4 models (MI355X and MI350X only): Llama 3.3 70B MXFP4 and Llama 3.1 405B MXFP4
-
-  * GPT OSS 20B and 120B
-
-  * Qwen 3 32B, 30B-A3B, and 235B-A22B
-
-* Removed the deprecated ``--max-seq-len-to-capture`` flag.
-
-* ``--gpu-memory-utilization`` is now configurable via the `configuration files
-  <https://github.com/ROCm/MAD/tree/develop/scripts/vllm/configs>`__ in the MAD
-  repository.
-
-.. _vllm-benchmark-supported-models-930:
+.. _vllm-benchmark-supported-models-909:
 
 Supported models
 ================
@@ -72,12 +55,11 @@ Supported models
    {% set docker = data.dockers[0] %}
    {% set model_groups = data.model_groups %}
 
-   .. _vllm-benchmark-available-models-930:
+   .. _vllm-benchmark-available-models-909:
 
    The following models are supported for inference performance benchmarking
    with vLLM and ROCm. Some instructions, commands, and recommendations in this
-   documentation might vary by model -- select one to get started. MXFP4 models
-   are only supported on MI355X and MI350X GPUs.
+   documentation might vary by model -- select one to get started.
 
    .. raw:: html
 
@@ -86,7 +68,7 @@ Supported models
             <div class="col-2 me-1 px-2 model-param-head">Model</div>
             <div class="row col-10 pe-0">
       {% for model_group in model_groups %}
-               <div class="col-4 px-2 model-param" data-param-k="model-group" data-param-v="{{ model_group.tag }}" tabindex="0">{{ model_group.group }}</div>
+               <div class="col-3 px-2 model-param" data-param-k="model-group" data-param-v="{{ model_group.tag }}" tabindex="0">{{ model_group.group }}</div>
       {% endfor %}
             </div>
          </div>
@@ -108,35 +90,25 @@ Supported models
          </div>
       </div>
 
-   .. _vllm-benchmark-vllm-930:
+   .. _vllm-benchmark-vllm-909:
 
    {% for model_group in model_groups %}
       {% for model in model_group.models %}
 
    .. container:: model-doc {{ model.mad_tag }}
 
-
-      {% if model.precision == "float4" %}
-      .. important::
-
-         MXFP4 is supported only on MI355X and MI350X GPUs.
-      {% endif %}
-
       .. note::
 
          See the `{{ model.model }} model card on Hugging Face <{{ model.url }}>`_ to learn more about your selected model.
          Some models require access authorization prior to use via an external license agreement through a third party.
       {% if model.precision == "float8" and model.model_repo.startswith("amd") %}
-         This model uses FP8 quantization via `AMD Quark <https://quark.docs.amd.com/latest/>`__ for efficient inference on AMD GPUs.
-      {% endif %}
-      {% if model.precision == "float4" and model.model_repo.startswith("amd") %}
-         This model uses FP4 quantization via `AMD Quark <https://quark.docs.amd.com/latest/>`__ for efficient inference on AMD GPUs.
+         This model uses FP8 quantization via `AMD Quark <https://quark.docs.amd.com/latest/>`__ for efficient inference on AMD accelerators.
       {% endif %}
 
       {% endfor %}
    {% endfor %}
 
-.. _vllm-benchmark-performance-measurements-930:
+.. _vllm-benchmark-performance-measurements-909:
 
 Performance measurements
 ========================
@@ -150,7 +122,7 @@ page provides reference throughput and serving measurements for inferencing popu
    The performance data presented in
    `Performance results with AMD ROCm software <https://www.amd.com/en/developer/resources/rocm-hub/dev-ai/performance-results.html>`_
    only reflects the latest version of this inference benchmarking environment.
-   The listed measurements should not be interpreted as the peak performance achievable by AMD Instinct GPUs or ROCm software.
+   The listed measurements should not be interpreted as the peak performance achievable by AMD Instinct MI325X and MI300X accelerators or ROCm software.
 
 System validation
 =================
@@ -167,12 +139,13 @@ To test for optimal performance, consult the recommended :ref:`System health ben
 <rocm-for-ai-system-health-bench>`. This suite of tests will help you verify and fine-tune your
 system's configuration.
 
-Pull the Docker image
-=====================
-
 .. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
 
    {% set docker = data.dockers[0] %}
+   {% set model_groups = data.model_groups %}
+
+   Pull the Docker image
+   =====================
 
    Download the `ROCm vLLM Docker image <{{ docker.docker_hub_url }}>`_.
    Use the following command to pull the Docker image from Docker Hub.
@@ -181,18 +154,13 @@ Pull the Docker image
 
       docker pull {{ docker.pull_tag }}
 
-Benchmarking
-============
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
-
-   {% set docker = data.dockers[0] %}
-   {% set model_groups = data.model_groups %}
+   Benchmarking
+   ============
 
    Once the setup is complete, choose between two options to reproduce the
    benchmark results:
 
-   .. _vllm-benchmark-mad-930:
+   .. _vllm-benchmark-mad-909:
 
    {% for model_group in model_groups %}
       {% for model in model_group.models %}
@@ -204,7 +172,7 @@ Benchmarking
          .. tab-item:: MAD-integrated benchmarking
 
             The following run command is tailored to {{ model.model }}.
-            See :ref:`vllm-benchmark-supported-models-930` to switch to another available model.
+            See :ref:`vllm-benchmark-supported-models-909` to switch to another available model.
 
             1. Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
                directory and install the required packages on the host machine.
@@ -215,9 +183,8 @@ Benchmarking
                   cd MAD
                   pip install -r requirements.txt
 
-            2. On the host machine, use this command to run the performance benchmark test on
-               the `{{model.model}} <{{ model.url }}>`_ model using one node with the
-               :literal:`{{model.precision}}` data type.
+            2. Use this command to run the performance benchmark test on the `{{model.model}} <{{ model.url }}>`_ model
+               using one GPU with the :literal:`{{model.precision}}` data type on the host machine.
 
                .. code-block:: shell
 
@@ -225,7 +192,8 @@ Benchmarking
                   madengine run \
                       --tags {{model.mad_tag}} \
                       --keep-model-dir \
-                      --live-output
+                      --live-output \
+                      --timeout 28800
 
             MAD launches a Docker container with the name
             ``container_ci-{{model.mad_tag}}``. The throughput and serving reports of the
@@ -233,7 +201,7 @@ Benchmarking
             and ``{{ model.mad_tag }}_serving.csv``.
 
             Although the :ref:`available models
-            <vllm-benchmark-available-models-930>` are preconfigured to collect
+            <vllm-benchmark-available-models-909>` are preconfigured to collect
             offline throughput and online serving performance data, you can
             also change the benchmarking parameters. See the standalone
             benchmarking tab for more information.
@@ -258,12 +226,12 @@ Benchmarking
          .. tab-item:: Standalone benchmarking
 
             The following commands are optimized for {{ model.model }}.
-            See :ref:`vllm-benchmark-supported-models-930` to switch to another available model.
+            See :ref:`vllm-benchmark-supported-models-909` to switch to another available model.
 
             .. seealso::
 
                For more information on configuration, see the `config files
-               <https://github.com/ROCm/MAD/tree/develop/scripts/vllm/configs>`__
+               <https://github.com/ROCm/MAD-private/tree/develop/scripts/vllm/configs>`__
                in the MAD repository. Refer to the `vLLM engine <https://docs.vllm.ai/en/latest/configuration/engine_args.html#engineargs>`__
                for descriptions of available configuration options
                and `Benchmarking vLLM <https://github.com/vllm-project/vllm/blob/main/benchmarks/README.md>`__ for
@@ -299,12 +267,13 @@ Benchmarking
 
                model={{ model.model_repo }}
                tp={{ model.config.tp }}
-               num_prompts={{ model.config.num_prompts | default(1024) }}
-               in={{ model.config.in | default(128) }}
-               out={{ model.config.in | default(128) }}
-               dtype={{ model.config.dtype | default("auto") }}
+               num_prompts=1024
+               in=128
+               out=128
+               dtype={{ model.config.dtype }}
                kv_cache_dtype={{ model.config.kv_cache_dtype }}
-               max_num_seqs={{ model.config.max_num_seqs | default(1024) }}
+               max_num_seqs=1024
+               max_seq_len_to_capture={{ model.config.max_seq_len_to_capture }}
                max_num_batched_tokens={{ model.config.max_num_batched_tokens }}
                max_model_len={{ model.config.max_model_len }}
 
@@ -316,11 +285,12 @@ Benchmarking
                    --dtype $dtype \
                    --kv-cache-dtype $kv_cache_dtype \
                    --max-num-seqs $max_num_seqs \
+                   --max-seq-len-to-capture $max_seq_len_to_capture \
                    --max-num-batched-tokens $max_num_batched_tokens \
                    --max-model-len $max_model_len \
                    --trust-remote-code \
                    --output-json ${model}_throughput.json \
-                   --gpu-memory-utilization {{ model.config.gpu_memory_utilization | default(0.9) }}
+                   --gpu-memory-utilization 0.9
 
             .. rubric:: Serving command
 
@@ -333,6 +303,7 @@ Benchmarking
                   dtype={{ model.config.dtype }}
                   kv_cache_dtype={{ model.config.kv_cache_dtype }}
                   max_num_seqs=256
+                  max_seq_len_to_capture={{ model.config.max_seq_len_to_capture }}
                   max_num_batched_tokens={{ model.config.max_num_batched_tokens }}
                   max_model_len={{ model.config.max_model_len }}
 
@@ -341,6 +312,7 @@ Benchmarking
                       --dtype $dtype \
                       --kv-cache-dtype $kv_cache_dtype \
                       --max-num-seqs $max_num_seqs \
+                      --max-seq-len-to-capture $max_seq_len_to_capture \
                       --max-num-batched-tokens $max_num_batched_tokens \
                       --max-model-len $max_model_len \
                       --no-enable-prefix-caching \
@@ -381,9 +353,6 @@ Benchmarking
 
             .. note::
 
-               For improved performance with certain Mixture of Experts models, such as Mixtral 8x22B,
-               try adding ``export VLLM_ROCM_USE_AITER=1`` to your commands.
-
                If you encounter the following error, pass your access-authorized Hugging
                Face token to the gated models.
 
@@ -422,31 +391,26 @@ see the developer's guide at `<https://github.com/ROCm/vllm/blob/documentation/d
 Reproducing the Docker image
 ----------------------------
 
-To reproduce this ROCm-enabled vLLM Docker image release, follow these steps:
+To reproduce this ROCm/vLLM Docker image release, follow these steps:
 
-1. Clone the `vLLM repository <https://github.com/vllm-project/vllm>`__.
+1. Clone the `vLLM repository <https://github.com/ROCm/vllm>`__.
+
+   .. code-block:: shell
+
+      git clone https://github.com/ROCm/vllm.git
+
+2. Checkout the specific release commit.
 
    .. code-block:: shell
 
-      git clone https://github.com/vllm-project/vllm.git
       cd vllm
+      git checkout 6663000a391911eba96d7864a26ac42b07f6ef29
 
-2. Use the following command to build the image directly from the specified commit.
+3. Build the Docker image. Replace ``vllm-rocm`` with your desired image tag.
 
-   .. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
+   .. code-block:: shell
 
-      {% set docker = data.dockers[0] %}
-      .. code-block:: shell
-
-         docker build -f docker/Dockerfile.rocm \
-             --build-arg REMOTE_VLLM=1 \
-             --build-arg VLLM_REPO=https://github.com/ROCm/vllm \
-             --build-arg VLLM_BRANCH="{{ docker.dockerfile.commit }}" \
-             -t vllm-rocm .
-
-   .. tip::
-
-      Replace ``vllm-rocm`` with your desired image tag.
+      docker build -f docker/Dockerfile.rocm -t vllm-rocm .
 
 Further reading
 ===============
@@ -457,7 +421,7 @@ Further reading
 - To learn more about MAD and the ``madengine`` CLI, see the `MAD usage guide <https://github.com/ROCm/MAD?tab=readme-ov-file#usage-guide>`__.
 
 - To learn more about system settings and management practices to configure your system for
-  AMD Instinct MI300X series GPUs, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
+  AMD Instinct MI300X series accelerators, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
 
 - See :ref:`fine-tuning-llms-vllm` and :ref:`mi300x-vllm-optimization` for
   a brief introduction to vLLM and optimization strategies.

docs/how-to/rocm-for-ai/install.rst

@@ -47,7 +47,7 @@ Deep learning frameworks
 ========================
 
 ROCm supports deep learning frameworks and libraries including `PyTorch
-<https://pytorch.org>`_, `TensorFlow
+<https://pytorch.org/blog/pytorch-for-amd-rocm-platform-now-available-as-python-package>`_, `TensorFlow
 <https://tensorflow.org>`_, `JAX <https://jax.readthedocs.io/en/latest>`_, and more.
 
 Review the :doc:`framework installation documentation <../deep-learning-rocm>`. For ease-of-use, it's recommended to use official ROCm prebuilt Docker
@@ -57,4 +57,4 @@ Next steps
 ==========
 
 After installing ROCm and your desired ML libraries -- and before running AI workloads -- conduct system health benchmarks
-to test the optimal performance of your AMD hardware. See :doc:`system-setup/index` to get started.
+to test the optimal performance of your AMD hardware. See :doc:`system-health-check` to get started.

docs/how-to/rocm-for-ai/system-health-check.rst

@@ -1,14 +1,12 @@
-:orphan:
-
 .. meta::
    :description: System health checks with RVS, RCCL tests, BabelStream, and TransferBench to validate AMD hardware performance running AI workloads.
    :keywords: gpu, accelerator, system, health, validation, bench, perf, performance, rvs, rccl, babel, mi300x, mi325x, flops, bandwidth, rbt, training, inference
 
 .. _rocm-for-ai-system-health-bench:
 
-*****************************************
-System health benchmarks for AI workloads
-*****************************************
+************************
+System health benchmarks
+************************
 
 Before running AI workloads, it is important to validate that your AMD hardware is configured correctly and is performing optimally. This topic outlines several system health benchmarks you can use to test key aspects like GPU compute capabilities (FLOPS), memory bandwidth, and interconnect performance. Many of these tests are part of the ROCm Validation Suite (RVS).
 
@@ -33,7 +31,7 @@ installed, run the following command:
    sudo apt install rocm-validation-suite
 
 See the `ROCm Validation Suite installation instructions <https://rocm.docs.amd.com/projects/ROCmValidationSuite/en/latest/install/installation.html>`_,
-and `System validation tests <https://instinct.docs.amd.com/projects/system-acceptance/en/latest/common/system-validation.html>`_
+and `System validation tests <https://instinct.docs.amd.com/projects/system-acceptance/en/latest/mi300x/system-validation.html#system-validation-tests>`_
 in the Instinct documentation for more detailed instructions.
 
 Benchmark, stress, and qualification tests
@@ -43,7 +41,7 @@ The GPU stress test runs various GEMM computations as workloads to stress the GP
 meets the configured target GFLOPS.
 
 Run the benchmark, stress, and qualification tests included with RVS. See the `Benchmark, stress, qualification
-<https://instinct.docs.amd.com/projects/system-acceptance/en/latest/common/system-validation.html#benchmark-stress-qualification>`_
+<https://instinct.docs.amd.com/projects/system-acceptance/en/latest/mi300x/system-validation.html#benchmark-stress-qualification>`_
 section of the Instinct documentation for usage instructions.
 
 BabelStream test
@@ -55,7 +53,7 @@ BabelStream tests are included with the RVS package as part of the `BABEL module
 <https://rocm.docs.amd.com/projects/ROCmValidationSuite/en/latest/conceptual/rvs-modules.html#babel-benchmark-test-babel-module>`_.
 
 For more information, see `Performance benchmarking
-<https://instinct.docs.amd.com/projects/system-acceptance/en/latest/common/system-validation.html#babelstream>`_
+<https://instinct.docs.amd.com/projects/system-acceptance/en/latest/mi300x/performance-bench.html#babelstream-benchmarking-results>`_
 in the Instinct documentation.
 
 RCCL tests
@@ -64,7 +62,7 @@ RCCL tests
 The ROCm Communication Collectives Library (RCCL) enables efficient multi-GPU
 communication. The `<https://github.com/ROCm/rccl-tests>`__ suite benchmarks
 the performance and verifies the correctness of these collective operations.
-This helps ensure optimal scaling for multi-GPU tasks.
+This helps ensure optimal scaling for multi-accelerator tasks.
 
 1. To get started, build RCCL-tests using the official instructions in the README at
    `<https://github.com/ROCm/rccl-tests?tab=readme-ov-file#build>`__ or use the
@@ -77,8 +75,8 @@ This helps ensure optimal scaling for multi-GPU tasks.
       make
 
 2. Run the suggested RCCL tests -- see `RCCL benchmarking
-   <https://instinct.docs.amd.com/projects/system-acceptance/en/latest/network/rdma-benchmarking.html#rccl-benchmarking-results>`_
-   in the AMD Instinct customer acceptance guide.
+   <https://instinct.docs.amd.com/projects/system-acceptance/en/latest/mi300x/performance-bench.html#rccl-benchmarking-results>`_
+   in the Instinct performance benchmarking documentation for instructions.
 
 TransferBench test
 ==================

docs/how-to/rocm-for-ai/system-setup/index.rst

@@ -1,40 +0,0 @@
-.. meta::
-   :description: System setup and validation steps for AI training and inference on ROCm
-   :keywords: AMD Instinct, ROCm, GPU, AI, training, inference, benchmarking, performance, validation
-
-*************************************
-System setup for AI workloads on ROCm
-*************************************
-
-Before you begin training or inference on AMD Instinct™ GPUs, complete
-the following system setup and validation steps to ensure optimal performance.
-
-Prerequisite system validation
-==============================
-
-First, confirm that your system meets all software and hardware prerequisites.
-See :doc:`prerequisite-system-validation`.
-
-Docker images for AMD Instinct GPUs
-===================================
-
-AMD provides prebuilt Docker images for AMD Instinct™ MI300X and MI325X
-GPUs. These images include ROCm-enabled deep learning frameworks and
-essential software components. They support single-node and multi-node configurations
-and are ready for training and inference workloads out of the box.
-
-Multi-node training
--------------------
-
-For instructions on enabling multi-node training, see :doc:`multi-node-setup`.
-
-System optimization and validation
-==================================
-
-Before running workloads, verify that the system is configured correctly and
-operating at peak efficiency. Recommended steps include:
-
-- Disabling NUMA auto-balancing
-- Running system benchmarks to validate hardware performance
-
-For details on running system health checks, see :doc:`system-health-check`.

docs/how-to/rocm-for-ai/system-setup/multi-node-setup.rst

@@ -1,320 +0,0 @@
-.. meta::
-   :description: Multi-node setup for AI training
-   :keywords: gpu, accelerator, system, health, validation, bench, perf, performance, rvs, rccl, babel, mi300x, mi325x, flops, bandwidth, rbt, training
-
-.. _rocm-for-ai-multi-node-setup:
-
-*********************************
-Multi-node setup for AI workloads
-*********************************
-
-AMD provides ready-to-use Docker images for AMD Instinct™ MI300X and MI325X
-GPUs containing ROCm-capable deep learning frameworks and essential
-software components. These Docker images can run and leverage multiple nodes if
-they are available. This page describes how to enable the multi-node training
-of AI workloads on AMD Instinct GPUs.
-
-Prerequisites
-=============
-
-Before starting, ensure your environment meets the following requirements:
-
-* Multi-node networking: your cluster should have a configured multi-node network. For setup
-  instructions, see the `Multi-node network configuration for AMD Instinct
-  accelerators
-  <https://instinct.docs.amd.com/projects/gpu-cluster-networking/en/latest/how-to/multi-node-config.html>`__
-  guide in the Instinct documentation.
-
-* ROCm Docker container to simplify environment setup for AI workloads. See the following resources to get started:
-
-  * :doc:`Training a model with Megatron-LM and ROCm <../training/benchmark-docker/megatron-lm>`
-
-  * :doc:`Training a model with PyTorch and ROCm <../training/benchmark-docker/pytorch-training>`
-
-  * :doc:`Training a model with JAX MaxText and ROCm <../training/benchmark-docker/jax-maxtext>`
-
-* Slurm workload manager to run the :ref:`provided examples <multi-node-setup-training-examples>`.
-
-Install required packages
-=========================
-
-To run multi-node workloads, ensure you have all the required packages installed based on your
-network device. For example, on Ubuntu systems:
-
-.. code-block:: shell
-
-   apt install -y iproute2
-
-   apt install -y linux-headers-"$(uname -r)" libelf-dev
-
-   apt install -y gcc make libtool autoconf librdmacm-dev rdmacm-utils infiniband-diags ibverbs-utils perftest ethtool libibverbs-dev rdma-core strace libibmad5 libibnetdisc5 ibverbs-providers libibumad-dev libibumad3 libibverbs1 libnl-3-dev libnl-route-3-dev
-
-Compile and install the RoCE library
-------------------------------------
-
-If you're using Broadcom NICs, you need to compile and install the RoCE (RDMA
-over Converged Ethernet) library. See `RoCE cluster network configuration guide
-for AMD Instinct accelerators
-<https://instinct.docs.amd.com/projects/gpu-cluster-networking/en/latest/how-to/roce-network-config.html#roce-cluster-network-configuration-guide-for-amd-instinct-accelerators>`__
-for more information.
-
-See the `Ethernet networking guide for AMD
-Instinct MI300X GPU clusters: Compiling Broadcom NIC software from source
-<https://docs.broadcom.com/doc/957608-AN2XX#page=81>`_ for more details.
-
-.. important::
-
-   It is crucial to install the exact same version of the RoCE library that
-   is installed on your host system. Also, ensure that the path to these
-   libraries on the host is correctly mounted into your Docker container.
-   Failure to do so can lead to compatibility issues and communication
-   failures.
-
-1. Set ``BUILD_DIR`` to the path on the host system where the Broadcom drivers and ``bnxt_rocelib`` source are located.
-   Then, navigate to the ``bnxt_rocelib`` directory.
-
-   .. code-block:: shell
-
-      export BUILD_DIR=/path/to/your/broadcom_drivers_on_host
-      cd $BUILD_DIR/drivers_linux/bnxt_rocelib/
-
-2. The ``bnxt_rocelib`` directory contains a version of ``libbnxt_re`` in a zipped ``.tar.gz`` file.
-
-   .. code-block:: shell
-
-      tar -xf libbnxt_re-a.b.c.d.tar.gz
-      cd libbnxt_re-a.b.c.d
-
-3. Compile and install the RoCE library.
-
-   .. code-block:: shell
-
-      sh autogen.sh
-      ./configure
-      make
-      find /usr/lib64/ /usr/lib -name "libbnxt_re-rdmav*.so" -exec mv {} {}.inbox \;
-      make install all
-      sh -c "echo /usr/local/lib >> /etc/ld.so.conf"
-      ldconfig
-      cp -f bnxt_re.driver /etc/libibverbs.d/
-      find . -name "*.so" -exec md5sum {} \;
-      BUILT_MD5SUM=$(find . -name "libbnxt_re-rdmav*.so" -exec md5sum {} \; | cut -d " " -f 1)
-
-Environment setup
-=================
-
-Before running multi-node workloads, set these essential environment variables:
-
-Master address
---------------
-
-By default, ``localhost`` is used for single-node configurations. Change
-``localhost`` to the master node's resolvable hostname or IP address:
-
-.. code-block:: bash
-
-   export MASTER_ADDR="${MASTER_ADDR:-localhost}"
-
-Number of nodes
----------------
-
-Set the number of nodes you want to train on (for example, ``2``, ``4``, or ``8``):
-
-.. code-block:: bash
-
-   export NNODES="${NNODES:-<num_nodes>}"
-
-Node ranks
-----------
-
-Set the rank of each node (``0`` for master, ``1`` for the first worker node, and so on).
-Node ranks should be unique across all nodes in the cluster.
-
-.. code-block:: bash
-
-   export NODE_RANK="${NODE_RANK:-<node_rank>}"
-
-Network interface
------------------
-
-Update the network interface in the script to match your system's network interface. To
-find your network interface, run the following (outside of any Docker container):
-
-.. code-block:: bash
-
-   ip a
-
-Look for an active interface (status "UP") with an IP address in the same subnet as
-your other nodes. Then, update the following variable in the script, for
-example:
-
-.. code-block:: bash
-
-   export NCCL_SOCKET_IFNAME=ens50f0np0
-
-This variable specifies which network interface to use for inter-node communication.
-Setting this variable to the incorrect interface can result in communication failures
-or significantly reduced performance.
-
-.. tip::
-
-  This command sets ``NCCL_SOCKET_IFNAME``'s value to the last RDMA interface.
-
-  .. code-block:: bash
-
-     export NCCL_SOCKET_IFNAME=$(rdma link show | awk '{print $NF}' | sort | tail -n1)
-
-RDMA/IB interface
------------------
-
-Set the RDMA interfaces to be used for communication. NICs can come from different vendors and the names of the RDMA interface can be different. To get the list of all the RDMA/IB devices, run:
-
-.. code-block:: bash
-
-   ibv_devices
-
-The command below gets the list of all RDMA/IB devices and puts them in a
-comma-separated format. If
-(``rdma0,rdma1,rdma2,rdma3,rdma4,rdma5,rdma6,rdma7``) are your RDMA
-interfaces, then set:
-
-.. code-block:: bash
-
-   # If using Broadcom NIC
-   export NCCL_IB_HCA=rdma0,rdma1,rdma2,rdma3,rdma4,rdma5,rdma6,rdma7
-   # If using Mellanox NIC
-   # export NCCL_IB_HCA=mlx5_0,mlx5_1,mlx5_2,mlx5_3,mlx5_4,mlx5_5,mlx5_8,mlx5_9
-
-.. tip::
-
-  Alternatively, if you want to choose the RDMA interface automatically, you
-  can use the following. This command will sort the RDMA interfaces and then
-  select the first eight RDMA interfaces.
-
-  .. code-block:: bash
-
-     export NCCL_IB_HCA=$(ibv_devices | awk 'NR>2 {print $1}' | sort | head -n 8 | paste -sd,)
-
-Global ID index
----------------
-
-Update the global ID index if you're using RoCE.
-
-.. code-block:: bash
-
-   export NCCL_IB_GID_INDEX=3
-
-.. _multi-node-setup-training-examples:
-
-Multi-node training examples
-============================
-
-The following examples use the Slurm workload manager to launch jobs on
-multiple nodes. To run these scripts as-is, you must have a Slurm environment
-configured. The scripts are designed to work with both Broadcom Thor 2 and
-Mellanox NICs by automatically installing the required libraries and setting
-the necessary environment variables. For systems with Broadcom NICs, the
-scripts assume the host's RoCE library is located in the ``/opt`` directory.
-
-The following benchmarking examples demonstrate the training of a Llama 3 8B model
-across multiple 8-GPU nodes, using FSDP for intra-node parallelism and DP for
-inter-node parallelism.
-
-.. _rocm-for-ai-multi-node-setup-jax-train-example:
-
-JAX MaxText
------------
-
-1. Download the desired multi-node benchmarking script from `<https://github.com/ROCm/MAD/tree/develop/scripts/jax-maxtext/gpu-rocm>`__.
-
-   .. code-block:: shell
-
-      wget https://raw.githubusercontent.com/ROCm/MAD/refs/heads/develop/scripts/jax-maxtext/gpu-rocm/llama3_8b_multinode.sh
-
-   Or clone the `<https://github.com/ROCm/MAD>`__ repository.
-
-   .. code-block:: shell
-
-      git clone https://github.com/ROCm/MAD
-      cd scripts/jax-maxtext/gpu-rocm
-
-2. Run the benchmark for multi-node training.
-
-   .. code-block:: shell
-
-      sbatch -N <num_nodes> llama3_8b_multinode.sh
-
-.. _rocm-for-ai-multi-node-setup-pyt-train-example:
-
-PyTorch training
-----------------
-
-.. note::
-
-   The ROCm PyTorch Training Docker image now focuses on :doc:`Training a model
-   with Primus and PyTorch <../training/benchmark-docker/primus-pytorch>`. The
-   following example refers to the legacy workflow :ref:`Training a
-   model with PyTorch <amd-pytorch-training-multinode-examples>`.
-
-1. Download the ``run_multinode_train.sh`` benchmarking script from `<https://github.com/ROCm/MAD/tree/develop/scripts/pytorch_train>`__.
-
-   .. code-block:: shell
-
-      wget https://raw.githubusercontent.com/ROCm/MAD/refs/heads/develop/scripts/pytorch_train/run_multinode_train.sh
-
-   Or clone the `<https://github.com/ROCm/MAD>`__ repository.
-
-   .. code-block:: shell
-
-      git clone https://github.com/ROCm/MAD
-      cd scripts/pytorch_train
-
-2. Run the benchmark for multi-node training.
-
-   .. code-block:: shell
-
-      sbatch -N <num_nodes> run_multinode_train.sh
-
-.. seealso::
-
-   See :ref:`Training a model with PyTorch <amd-pytorch-training-multinode-examples>` for more examples and information.
-
-Megatron-LM
------------
-
-.. note::
-
-   The Megatron-LM Docker image now focuses on :ref:`Training a model with
-   Primus and Megatron <amd-primus-megatron-multi-node-examples>`. The
-   following example refers to the legacy Megatron-LM :ref:`Training a model
-   with Megatron-LM <amd-megatron-lm-multi-node-examples>` and might have
-   limited support.
-
-1. Download the ``train_llama_slurm.sh`` benchmarking script from
-   `<https://github.com/ROCm/Megatron-LM/blob/rocm_dev/examples/llama/train_llama_slurm.sh>`__.
-
-2. Set the network interface parameters as per the above guidelines and run the script.
-
-   .. code-block:: shell
-
-      cd </path/to/your/Megatron-LM>
-      export NETWORK_INTERFACE=$NCCL_SOCKET_IFNAME
-      export NCCL_IB_HCA=$NCCL_IB_HCA
-      export IMAGE=docker.io/rocm/megatron-lm:latest OR your preferred image
-      export DATA_CACHE_PATH=/nfs/mounted/repo
-
-      sbatch –N <num_nodes> examples/llama/train_llama_slurm.sh <MODEL_SIZE> <MBS> <GBS> <SEQ_LENGTH> <FSDP> <RECOMPUTE>
-
-2. For example, to run a Llama 3 8B workload in BF16 precision, use the following command.
-
-   .. code-block:: shell
-
-      MODEL_NAME=llama3 sbatch –N 8 examples/llama/train_llama_slurm.sh 8 2 128 8192 0 0
-      # Other parameters, such as TP, FP8 datatype, can be adjusted in the script.
-
-Further reading
-===============
-
-* `Multi-node network configuration for AMD Instinct accelerators <https://instinct.docs.amd.com/projects/gpu-cluster-networking/en/latest/how-to/multi-node-config.html>`__
-
-* `Ethernet networking guide for AMD Instinct MI300X GPU clusters: Compiling Broadcom NIC software from source <https://docs.broadcom.com/doc/957608-AN2XX#page=81>`__

docs/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.rst

@@ -3,17 +3,17 @@
    :keywords: ROCm, AI, LLM, train, jax, torch, Llama, flux, tutorial, docker
 
 ******************************************
-Training a model with JAX MaxText on ROCm
+Training a model with JAX MaxText for ROCm
 ******************************************
 
 MaxText is a high-performance, open-source framework built on the Google JAX
 machine learning library to train LLMs at scale. The MaxText framework for
 ROCm is an optimized fork of the upstream
 `<https://github.com/AI-Hypercomputer/maxtext>`__ enabling efficient AI workloads
-on AMD MI300X series GPUs.
+on AMD MI300X series accelerators.
 
 The MaxText for ROCm training Docker image
-provides a prebuilt environment for training on AMD Instinct MI300X and MI325X GPUs,
+provides a prebuilt environment for training on AMD Instinct MI300X and MI325X accelerators,
 including essential components like JAX, XLA, ROCm libraries, and MaxText utilities.
 It includes the following software components:
 
@@ -25,7 +25,7 @@ It includes the following software components:
       {% for docker in dockers %}
       {% set jax_version = docker.components["JAX"] %}
 
-      .. tab-item:: ``{{ docker.pull_tag }}``
+      .. tab-item:: JAX {{ jax_version }}
          :sync: {{ docker.pull_tag }}
 
          .. list-table::
@@ -47,6 +47,10 @@ It includes the following software components:
             ``shardy=False`` during the training run. You can also follow the `migration
             guide <https://docs.jax.dev/en/latest/shardy_jax_migration.html>`__ to enable
             it.
+
+            The provided multi-node training scripts in this documentation are
+            not currently supported with JAX 0.6.0. For multi-node training, use the JAX 0.5.0
+            Docker image.
          {% endif %}
 
       {% endfor %}
@@ -69,7 +73,7 @@ Supported models
 ================
 
 The following models are pre-optimized for performance on AMD Instinct MI300
-series GPUs. Some instructions, commands, and available training
+series accelerators. Some instructions, commands, and available training
 configurations in this documentation might vary by model -- select one to get
 started.
 
@@ -132,35 +136,87 @@ This Docker image is optimized for specific model configurations outlined
 as follows. Performance can vary for other training workloads, as AMD
 doesn’t validate configurations and run conditions outside those described.
 
-Pull the Docker image
----------------------
-
-Use the following command to pull the Docker image from Docker Hub.
-
-.. datatemplate:yaml:: /data/how-to/rocm-for-ai/training/jax-maxtext-benchmark-models.yaml
-
-   {% set dockers = data.dockers %}
-   .. tab-set::
-
-      {% for docker in dockers %}
-      {% set jax_version = docker.components["JAX"] %}
-
-      .. tab-item:: JAX {{ jax_version }}
-         :sync: {{ docker.pull_tag }}
-
-         .. code-block:: shell
-
-            docker pull {{ docker.pull_tag }}
-
-      {% endfor %}
-
 .. _amd-maxtext-multi-node-setup-v257:
 
-Multi-node configuration
-------------------------
+Multi-node setup
+----------------
 
-See :doc:`/how-to/rocm-for-ai/system-setup/multi-node-setup` to configure your
-environment for multi-node training.
+For multi-node environments, ensure you have all the necessary packages for
+your network device, such as, RDMA. If you're not using a multi-node setup
+with RDMA, skip ahead to :ref:`amd-maxtext-get-started-v257`.
+
+1. Install the following packages to build and install the RDMA driver.
+
+   .. code-block:: shell
+
+      sudo apt install iproute2 -y
+      sudo apt install -y linux-headers-"$(uname-r)" libelf-dev
+      sudo apt install -y gcc make libtool autoconf librdmacm-dev rdmacm-utils infiniband-diags ibverbs-utils perftest ethtool libibverbs-dev rdma-core strace libibmad5 libibnetdisc5 ibverbs-providers libibumad-dev libibumad3 libibverbs1 libnl-3-dev libnl-route-3-dev
+
+   Refer to your NIC manufacturer's documentation for further steps on
+   compiling and installing the RoCE driver. For example, for Broadcom,
+   see `Compiling Broadcom NIC software from source <https://docs.broadcom.com/doc/957608-AN2XX#G3.484341>`_
+   in `Ethernet networking guide for AMD Instinct MI300X GPU clusters <https://docs.broadcom.com/doc/957608-AN2XX>`_.
+
+2. Set the following environment variables.
+
+   a. Master address
+
+      Change ``localhost`` to the master node's resolvable hostname or IP address:
+
+      .. code-block:: bash
+
+         export MASTER_ADDR="${MASTER_ADDR:-localhost}"
+
+   b. Number of nodes
+
+      Set the number of nodes you want to train on (for example, ``2``, ``4``, or ``8``):
+
+      .. code-block:: bash
+
+         export NNODES="${NNODES:-1}"
+
+   c. Node ranks
+
+      Set the rank of each node (``0`` for master, ``1`` for the first worker node, and so on)
+      Node ranks should be unique across all nodes in the cluster.
+
+      .. code-block:: bash
+
+         export NODE_RANK="${NODE_RANK:-0}"
+
+   d. Network interface
+
+      Update the network interface in the script to match your system's network interface. To
+      find your network interface, run the following (outside of any Docker container):
+
+      .. code-block:: bash
+
+         ip a
+
+      Look for an active interface with an IP address in the same subnet as
+      your other nodes. Then, update the following variable in the script, for
+      example:
+
+      .. code-block:: bash
+
+         export NCCL_SOCKET_IFNAME=ens50f0np0
+
+      This variable specifies which network interface to use for inter-node communication.
+      Setting this variable to the incorrect interface can result in communication failures
+      or significantly reduced performance.
+
+   e. RDMA interface
+
+      Ensure the :ref:`required packages <amd-maxtext-multi-node-setup-v257>` are installed on all nodes.
+      Then, set the RDMA interfaces to use for communication.
+
+      .. code-block:: bash
+
+         # If using Broadcom NIC
+         export NCCL_IB_HCA=rdma0,rdma1,rdma2,rdma3,rdma4,rdma5,rdma6,rdma7
+         # If using Mellanox NIC
+         export NCCL_IB_HCA=mlx5_0,mlx5_1,mlx5_2,mlx5_3,mlx5_4,mlx5_5,mlx5_8,mlx5_9
 
 .. _amd-maxtext-get-started-v257:
 
@@ -305,6 +361,12 @@ benchmark results:
 
                   ./jax-maxtext_benchmark_report.sh -m {{ model.model_repo }} -q nanoo_fp8
 
+               .. important::
+
+                  Quantized training is not supported with the JAX 0.6.0 Docker image; support
+                  will be added in a future release. For quantized training, use the JAX 0.5.0
+                  Docker image: ``rocm/jax-training:maxtext-v25.7``.
+
             {% endif %}
             {% if model.multinode_training_script and "multi-node" in model.doc_options %}
             .. rubric:: Multi-node training
@@ -317,11 +379,11 @@ benchmark results:
                benchmark. Run them outside of any Docker container.
 
             1. Make sure ``$HF_HOME`` is set before running the test. See
-               `ROCm benchmarking <https://github.com/ROCm/MAD/blob/develop/scripts/jax-maxtext/gpu-rocm/readme.md>`__
+               `ROCm benchmarking <https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/readme.md>`__
                for more details on downloading the Llama models before running the
                benchmark.
 
-            2. To run multi-node training for {{ model.model }},
+            2. To run multi-node training for {{ model.model }}, 
                use the
                `multi-node training script <https://github.com/ROCm/MAD/blob/develop/scripts/jax-maxtext/gpu-rocm/{{ model.multinode_training_script }}>`__
                under the ``scripts/jax-maxtext/gpu-rocm/`` directory.
@@ -344,10 +406,12 @@ benchmark results:
 Further reading
 ===============
 
+- See the ROCm/maxtext benchmarking README at `<https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/readme.md>`__.
+
 - To learn more about MAD and the ``madengine`` CLI, see the `MAD usage guide <https://github.com/ROCm/MAD?tab=readme-ov-file#usage-guide>`__.
 
 - To learn more about system settings and management practices to configure your system for
-  AMD Instinct MI300X series GPUs, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
+  AMD Instinct MI300X series accelerators, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
 
 - For a list of other ready-made Docker images for AI with ROCm, see
   `AMD Infinity Hub <https://www.amd.com/en/developer/resources/infinity-hub.html#f-amd_hub_category=AI%20%26%20ML%20Models>`_.

docs/how-to/rocm-for-ai/training/benchmark-docker/megatron-lm.rst

@@ -5,25 +5,27 @@
    :keywords: ROCm, AI, LLM, train, Megatron-LM, megatron, Llama, tutorial, docker, torch
 
 ******************************************
-Training a model with Megatron-LM on ROCm
+Training a model with Megatron-LM for ROCm
 ******************************************
 
 .. caution::
 
-   Primus with Megatron is designed to replace this ROCm Megatron-LM training workflow.
-   To learn how to migrate workloads from Megatron-LM to Primus with Megatron,
+   The ROCm Megatron-LM framework now has limited support with this Docker
+   environment; it now focuses on Primus with Megatron-Core. See :doc:`primus-megatron`.
+
+   To learn how to migrate your existing workloads to Primus with Megatron-Core,
    see :doc:`previous-versions/megatron-lm-primus-migration-guide`.
 
 The `Megatron-LM framework for ROCm <https://github.com/ROCm/Megatron-LM>`_ is
 a specialized fork of the robust Megatron-LM, designed to enable efficient
 training of large-scale language models on AMD GPUs. By leveraging AMD
-Instinct™ MI300X series GPUs, Megatron-LM delivers enhanced
+Instinct™ MI300X series accelerators, Megatron-LM delivers enhanced
 scalability, performance, and resource utilization for AI workloads. It is
 purpose-built to support models like Llama, DeepSeek, and Mixtral,
 enabling developers to train next-generation AI models more
 efficiently.
 
-AMD provides ready-to-use Docker images for MI300X series GPUs containing
+AMD provides ready-to-use Docker images for MI300X series accelerators containing
 essential components, including PyTorch, ROCm libraries, and Megatron-LM
 utilities. It contains the following software components to accelerate training
 workloads:
@@ -61,7 +63,7 @@ workloads:
    ================
 
    The following models are supported for training performance benchmarking with Megatron-LM and ROCm
-   on AMD Instinct MI300X series GPUs.
+   on AMD Instinct MI300X series accelerators.
    Some instructions, commands, and training recommendations in this documentation might
    vary by model -- select one to get started.
 
@@ -115,7 +117,7 @@ popular AI models.
    The performance data presented in
    `Performance results with AMD ROCm software <https://www.amd.com/en/developer/resources/rocm-hub/dev-ai/performance-results.html>`__
    only reflects the latest version of this training benchmarking environment.
-   The listed measurements should not be interpreted as the peak performance achievable by AMD Instinct MI325X and MI300X GPUs or ROCm software.
+   The listed measurements should not be interpreted as the peak performance achievable by AMD Instinct MI325X and MI300X accelerators or ROCm software.
 
 System validation
 =================
@@ -138,11 +140,11 @@ Environment setup
 =================
 
 Use the following instructions to set up the environment, configure the script to train models, and
-reproduce the benchmark results on MI300X series GPUs with the AMD Megatron-LM Docker
+reproduce the benchmark results on MI300X series accelerators with the AMD Megatron-LM Docker
 image.
 
 .. _amd-megatron-lm-requirements:
-
+ 
 Download the Docker image
 -------------------------
 
@@ -152,7 +154,7 @@ Download the Docker image
    1. Use the following command to pull the Docker image from Docker Hub.
 
       {% if dockers|length > 1 %}
-      .. tab-set::
+      .. tab-set:: 
 
          {% for docker in data.dockers %}
          .. tab-item:: {{ docker.doc_name }}
@@ -281,11 +283,25 @@ Configuration
 
    See :ref:`Key options <amd-megatron-lm-benchmark-test-vars>` for more information on configuration options.
 
-Multi-node configuration
-------------------------
+Network interface
+-----------------
 
-Refer to :doc:`/how-to/rocm-for-ai/system-setup/multi-node-setup` to configure your environment for multi-node
-training. See :ref:`amd-megatron-lm-multi-node-examples` for example run commands.
+Update the network interface in the script to match your system's network interface. To
+find your network interface, run the following (outside of any Docker container):
+
+.. code-block:: bash
+
+   ip a
+
+Look for an active interface that has an IP address in the same subnet as
+your other nodes. Then, update the following variables in the script, for
+example:
+
+.. code-block:: bash
+
+   export NCCL_SOCKET_IFNAME=ens50f0np0
+
+   export GLOO_SOCKET_IFNAME=ens50f0np0
 
 .. _amd-megatron-lm-tokenizer:
 
@@ -526,6 +542,46 @@ Download the dataset
 
    Ensure that the files are accessible inside the Docker container.
 
+Multi-node configuration
+------------------------
+
+If you're running multi-node training, update the following environment variables. They can
+also be passed as command line arguments. Refer to the following example configurations.
+
+* Change ``localhost`` to the master node's hostname:
+
+  .. code-block:: shell
+
+     MASTER_ADDR="${MASTER_ADDR:-localhost}"
+
+* Set the number of nodes you want to train on (for instance, ``2``, ``4``, ``8``):
+
+  .. code-block:: shell
+
+     NNODES="${NNODES:-1}"
+
+* Set the rank of each node (0 for master, 1 for the first worker node, and so on):
+
+  .. code-block:: shell
+
+     NODE_RANK="${NODE_RANK:-0}"
+
+* Set ``DATA_CACHE_PATH`` to a common directory accessible by all the nodes (for example, an
+  NFS directory) for multi-node runs:
+
+  .. code-block:: shell
+
+     DATA_CACHE_PATH=/root/cache # Set to a common directory for multi-node runs
+
+* For multi-node runs, make sure the correct network drivers are installed on the nodes. If
+  inside a Docker container, either install the drivers inside the Docker container or pass the network
+  drivers from the host while creating the Docker container.
+
+  .. code-block:: shell
+
+     # Specify which RDMA interfaces to use for communication
+     export NCCL_IB_HCA=rdma0,rdma1,rdma2,rdma3,rdma4,rdma5,rdma6,rdma7
+
 .. _amd-megatron-lm-run-training:
 
 Run training
@@ -533,7 +589,7 @@ Run training
 
 Use the following example commands to set up the environment, configure
 :ref:`key options <amd-megatron-lm-benchmark-test-vars>`, and run training on
-MI300X series GPUs with the AMD Megatron-LM environment.
+MI300X series accelerators with the AMD Megatron-LM environment.
 
 Single node training
 --------------------
@@ -558,7 +614,7 @@ Single node training
       FSDP=1 \
       MODEL_SIZE=70 \
       TOTAL_ITERS=50 \
-      bash examples/llama/train_llama3.sh
+      bash examples/llama/train_llama3.sh 
 
    .. note::
 
@@ -716,7 +772,7 @@ Single node training
 
 .. container:: model-doc pyt_megatron_lm_train_deepseek-v3-proxy
 
-   To run training on a single node for DeepSeek-V3 (MoE with expert parallel) with 3-layer proxy,
+   To run training on a single node for DeepSeek-V3 (MoE with expert parallel) with 3-layer proxy, 
    navigate to the Megatron-LM folder and use the following command.
 
    .. code-block:: shell
@@ -751,16 +807,9 @@ Single node training
       AC=none \
       SEQ_LEN=4096 \
       PAD_LEN=4096 \
-      TRAIN_ITERS=20 \
+      TRAIN_ITERS=50 \
       bash examples/deepseek_v2/train_deepseekv2.sh
 
-   .. note::
-
-      Note that DeepSeek-V2-Lite is experiencing instability due to GPU memory access fault
-      for large iterations.
-      For stability, it's recommended to use Primus for this workload.
-      See :doc:`primus-megatron`.
-
 .. container:: model-doc pyt_megatron_lm_train_mixtral-8x7b
 
    To run training on a single node for Mixtral 8x7B (MoE with expert parallel),
@@ -871,8 +920,6 @@ Single node training
           RECOMPUTE_ACTIVATIONS=full \
           CKPT_FORMAT=torch_dist
 
-.. _amd-megatron-lm-multi-node-examples:
-
 Multi-node training examples
 ----------------------------
 

docs/how-to/rocm-for-ai/training/benchmark-docker/mpt-llm-foundry.rst

@@ -3,7 +3,7 @@
    :keywords: ROCm, AI, LLM, train, PyTorch, torch, Llama, flux, tutorial, docker
 
 ******************************************
-Training MPT-30B with LLM Foundry on ROCm
+Training MPT-30B with LLM Foundry and ROCm
 ******************************************
 
 MPT-30B is a 30-billion parameter decoder-style transformer-based model from

docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/jax-maxtext-v25.4.rst

@@ -202,14 +202,16 @@ Getting started
 
 The following examples demonstrate how to get started with single node
 and multi-node training using the benchmarking scripts provided at
-`<https://github.com/ROCm/maxtext/>`__.
+`<https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/>`__.
 
 .. important::
 
    The provided scripts launch a Docker container and execute a benchmark. Ensure you run these commands outside of any existing Docker container.
 
 Before running any benchmarks, ensure the ``$HF_HOME`` environment variable is
-set correctly and points to your Hugging Face cache directory.
+set correctly and points to your Hugging Face cache directory. Refer to the
+README at `<https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/>`__
+for more detailed instructions.
 
 Single node training benchmarking examples
 ------------------------------------------

docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/jax-maxtext-v25.5.rst

@@ -213,14 +213,16 @@ Getting started
 
 The following examples demonstrate how to get started with single node
 and multi-node training using the benchmarking scripts provided at
-`<https://github.com/ROCm/maxtext/>`__.
+`<https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/>`__.
 
 .. important::
 
    The provided scripts launch a Docker container and execute a benchmark. Ensure you run these commands outside of any existing Docker container.
 
 Before running any benchmarks, ensure the ``$HF_HOME`` environment variable is
-set correctly and points to your Hugging Face cache directory.
+set correctly and points to your Hugging Face cache directory. Refer to the
+README at `<https://github.com/ROCm/maxtext/blob/main/benchmarks/gpu-rocm/>`__
+for more detailed instructions.
 
 Single node training benchmarking examples
 ------------------------------------------

docs/how-to/rocm-for-ai/training/benchmark-docker/previous-versions/megatron-lm-history.rst

@@ -16,22 +16,12 @@ previous releases of the ``ROCm/megatron-lm`` Docker image on `Docker Hub <https
      - Components
      - Resources
 
-   * - v25.8 (latest)
+   * - v25.7 (latest)
      - 
-       * ROCm 6.4.3
-       * PyTorch 2.8.0a0+gitd06a406
+       * ROCm 
+       * PyTorch 
      - 
-       * :doc:`Primus Megatron documentation <../primus-megatron>`
-       * :doc:`Megatron-LM (legacy) documentation <../megatron-lm>`
-       * `Docker Hub (py310) <https://hub.docker.com/r/rocm/megatron-lm/tags>`__
-
-   * - v25.7
-     - 
-       * ROCm 6.4.2
-       * PyTorch 2.8.0a0+gitd06a406
-     - 
-       * :doc:`Primus Megatron documentation <primus-megatron-v25.7>`
-       * :doc:`Megatron-LM (legacy) documentation <megatron-lm-v25.7>`
+       * :doc:`Documentation <../megatron-lm>`
        * `Docker Hub (py310) <https://hub.docker.com/layers/rocm/megatron-lm/v25.7_py310/images/sha256-6189df849feeeee3ae31bb1e97aef5006d69d2b90c134e97708c19632e20ab5a>`__
 
    * - v25.6