Merge pull request #4019 from ammallya/roc-6.2.x

Added 6.2.4 manifest.xml

.azuredevops/components/AMDMIGraphX.yml

@@ -122,9 +122,6 @@ jobs:
         -DHALF_INCLUDE_DIR=$(Agent.BuildDirectory)/rocm/include
         -DBUILD_TESTING=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/HIP.yml

@@ -82,9 +82,6 @@ jobs:
         -DHIPCC_BIN_DIR=$(Agent.BuildDirectory)/rocm/bin
         -DCLR_BUILD_HIP=ON
         -DCLR_BUILD_OCL=ON
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      artifactName: amd
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       artifactName: amd

.azuredevops/components/HIPIFY.yml

@@ -97,7 +97,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Pipeline.Workspace)/llvm;/usr/local/cuda/targets/x86_64-linux/lib
         -DLLVM_EXTERNAL_LIT=$(Pipeline.Workspace)/llvm-project/llvm/build/bin/llvm-lit
       multithreadFlag: -- -j32
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/MIOpen.yml

@@ -9,15 +9,19 @@ parameters:
   type: object
   default:
     - cmake
-    - jq
+    - libbz2-dev
     - libdrm-dev
+    - libeigen3-dev
+    - libgmock-dev
+    - libgtest-dev
     - libsqlite3-dev
     - libstdc++-12-dev
+    - libzstd-dev
     - ninja-build
+    - nlohmann-json3-dev
     - python3-pip
-    - python3-venv
     - software-properties-common
-    - zip
+    - zstd
 - name: pipModules
   type: object
   default:
@@ -25,12 +29,14 @@ parameters:
 - name: rocmDependencies
   type: object
   default:
-    - half
+    - rocMLIR
     - rocRAND
     - rocBLAS
     - hipBLAS
     - hipBLASLt
     - hipBLAS-common
+    - half
+    - composable_kernel
     - rocm-cmake
     - llvm-project
     - ROCR-Runtime
@@ -42,6 +48,7 @@ parameters:
   type: object
   default:
     - clr
+    - composable_kernel
     - half
     - hipBLAS
     - hipBLAS-common
@@ -50,6 +57,7 @@ parameters:
     - rocBLAS
     - rocm-cmake
     - rocminfo
+    - rocMLIR
     - ROCR-Runtime
     - rocprofiler-register
     - rocRAND
@@ -76,9 +84,8 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/miopen-get-ck-build.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
+  # The default boost library from apt is 1.74, which does not satisfy MIOpen's build requirement (1.79+)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-boost.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
       dependencyList: ${{ parameters.rocmDependencies }}
@@ -89,38 +96,23 @@ jobs:
       # manual build case: triggered by ROCm/ROCm repo
       ${{ elseif ne(parameters.checkoutRef, '') }}:
         dependencySource: tag-builds
-  - task: Bash@3
-    displayName: Build and install other dependencies
-    inputs:
-      targetType: inline
-      workingDirectory: $(Build.SourcesDirectory)
-      script: |
-        sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
-        sed -i '/composable_kernel/d' requirements.txt
-        mkdir -p $(Agent.BuildDirectory)/miopen-deps
-        cmake -P install_deps.cmake --prefix $(Agent.BuildDirectory)/miopen-deps
-        sudo rm -rf /opt/rocm
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
         -DMIOPEN_BACKEND=HIP
         -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/miopen-deps
+        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/boost
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DMIOPEN_ENABLE_AI_KERNEL_TUNING=OFF
         -DMIOPEN_ENABLE_AI_IMMED_MODE_FALLBACK=OFF
         -DCMAKE_BUILD_TYPE=Release
         -DBUILD_TESTING=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
 
 - job: MIOpen_testing
-  timeoutInMinutes: 90
   dependsOn: MIOpen
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:
@@ -143,15 +135,14 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
+  # The default boost library from apt is 1.74, which does not satisfy MIOpen's build requirement (1.79+)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-boost.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
     parameters:
       ${{ if eq(parameters.checkoutRef, '') }}:
         dependencySource: staging
       ${{ elseif ne(parameters.checkoutRef, '') }}:
         dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/miopen-get-ck-build.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
       dependencyList: ${{ parameters.rocmTestDependencies }}
@@ -160,22 +151,44 @@ jobs:
         dependencySource: staging
       ${{ elseif ne(parameters.checkoutRef, '') }}:
         dependencySource: tag-builds
+# MIOpen depends on a specific version of frugally-deep which is forked here: https://github.com/ROCm/frugally-deep
+# https://github.com/ROCm/frugally-deep/blob/master/INSTALL.md
   - task: Bash@3
-    displayName: Build and install other dependencies
+    displayName: Add Python site-packages binaries to path
     inputs:
       targetType: inline
-      workingDirectory: $(Build.SourcesDirectory)
       script: |
-        sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
-        sed -i '/composable_kernel/d' requirements.txt
-        mkdir -p $(Agent.BuildDirectory)/miopen-deps
-        cmake -P install_deps.cmake --prefix $(Agent.BuildDirectory)/miopen-deps
-        sudo rm -rf /opt/rocm
+        USER_BASE=$(python3 -m site --user-base)
+        echo "##vso[task.prependpath]$USER_BASE/bin"
+  - task: Bash@3
+    displayName: Install FunctionalPlus
+    inputs:
+      targetType: inline
+      script: cget install Dobiasd/FunctionalPlus
+  - task: Bash@3
+    displayName: Remove Python site-packages binaries from path
+    inputs:
+      targetType: inline
+      script: |
+        USER_BASE=$(python3 -m site --user-base)
+        echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$USER_BASE/bin;;' -e 's;^/;;' -e 's;/$;;')"
+  - task: Bash@3
+    displayName: git clone frugally-deep
+    inputs:
+      targetType: inline
+      script: git clone https://github.com/ROCm/frugally-deep --depth=1 --shallow-submodules
+      workingDirectory: $(Build.SourcesDirectory)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+    parameters:
+      componentName: frugally-deep
+      cmakeBuildDir: $(Build.SourcesDirectory)/frugally-deep/build
+      installDir: $(Build.SourcesDirectory)/bin
+      extraBuildFlags: -DCMAKE_PREFIX_PATH=$(Build.SourcesDirectory)/cget/cget/pkg/Dobiasd__FunctionalPlus/install
   - task: CMake@1
     displayName: 'MIOpen Test CMake Flags'
     inputs:
       cmakeArgs: >-
-        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Build.SourcesDirectory)/bin;$(Agent.BuildDirectory)/miopen-deps
+        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Build.SourcesDirectory)/bin;$(Build.SourcesDirectory)/cget/cget/pkg/Dobiasd__FunctionalPlus/install;$(Agent.BuildDirectory)/boost
         -DCMAKE_INSTALL_PREFIX=$(Agent.BuildDirectory)/rocm
         -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
         -DCMAKE_C_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
@@ -197,4 +210,3 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:
       componentName: MIOpen
-      testParameters: '-VV --output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex test_rnn_seq_api'

.azuredevops/components/MIVisionX.yml

@@ -10,30 +10,39 @@ parameters:
   default:
     - cmake
     - ninja-build
+    - git
     - wget
     - unzip
-    - libstdc++-12-dev
     - pkg-config
+    - protobuf-compiler
+    - libprotoc-dev
     - ffmpeg
     - libavcodec-dev
     - libavformat-dev
     - libavutil-dev
     - libswscale-dev
+    - build-essential
+    - libgtk2.0-dev
+    - libavcodec-dev
+    - libavformat-dev
+    - libswscale-dev
+    - libtbb2
+    - libtbb-dev
+    - libjpeg-dev
+    - libpng-dev
+    - libtiff-dev
+    - libdc1394-dev
     - libgmp-dev
-    - libomp-dev
     - libopencv-dev
-    - protobuf-compiler
-    - libprotoc-dev
 - name: pipModules
   type: object
   default:
-    - future==1.0.0
+    - future==0.18.2
     - pytz==2022.1
-    - numpy==1.23
+    - numpy==1.21
     - google==3.0.0
     - protobuf==3.12.4
     - onnx==1.12.0
-    - nnef==1.0.7
 - name: rocmDependencies
   type: object
   default:
@@ -103,9 +112,6 @@ jobs:
         -DROCM_PATH=$(Agent.BuildDirectory)/rocm
         -DROCM_DEP_ROCMCORE=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/ROCR-Runtime.yml

@@ -55,8 +55,6 @@ jobs:
       extraBuildFlags: >-
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DBUILD_SHARED_LIBS=ON
-        -DCMAKE_BUILD_TYPE=Release
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: ROCR_Runtime_testing
@@ -123,6 +121,41 @@ jobs:
       testExecutable: BIN_DIR=$(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/build ./run_kfdtest.sh
       testParameters: '-p core --gtest_output=xml:./test_output.xml --gtest_color=yes'
       testDir: $(Build.SourcesDirectory)/libhsakmt/tests/kfdtest/scripts
+  - task: Bash@3
+    displayName: Build rdmatest app
+    continueOnError: true
+    inputs:
+      targetType: 'inline'
+      workingDirectory: $(Build.SourcesDirectory)/libhsakmt/tests/rdma/simple/app
+      script: |
+        cmake -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm -DLIBHSAKMT_PATH=$(Agent.BuildDirectory)/rocm -DDRM_AMDGPU_INCLUDE_DIRS=$(Agent.BuildDirectory)/rocm/include .
+        cmake --build .
+  - task: Bash@3
+    displayName: Build rdmatest driver
+    continueOnError: true
+    inputs:
+      targetType: 'inline'
+      workingDirectory: $(Build.SourcesDirectory)/libhsakmt/tests/rdma/simple/drv
+      script: |
+        sed -i 's/HSAKMT_PAGE_SHIFT/PAGE_SHIFT/g' amdp2ptest.c
+        sed -i 's/"MIT"/"GPL"/' amdp2ptest.c
+        RDMA_HEADER_DIR=/usr/src/amdgpu-*/include make all
+  - task: Bash@3
+    displayName: Install rdmatest driver
+    continueOnError: true
+    inputs:
+      targetType: 'inline'
+      workingDirectory: $(Build.SourcesDirectory)/libhsakmt/tests/rdma/simple/drv
+      script: |
+        sudo rmmod amdp2ptest.ko
+        sudo insmod amdp2ptest.ko
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+    parameters:
+      componentName: rdmatest
+      testExecutable: yes | ./rdma_test
+      testParameters: ''
+      testDir: $(Build.SourcesDirectory)/libhsakmt/tests/rdma/simple/app
+      testPublishResults: false
   - task: Bash@3
     displayName: Build rocrtst
     continueOnError: true
@@ -146,5 +179,5 @@ jobs:
     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'
+      testParameters: '--gtest_filter="-rocrtstNeg.Memory_Negative_Tests" --gtest_output=xml:./test_output.xml --gtest_color=yes'
       testDir: $(Build.SourcesDirectory)/rocrtst/suites/test_common/build/$(JOB_GPU_TARGET)

.azuredevops/components/ROCT-Thunk-Interface.yml

@@ -29,5 +29,4 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/ROCdbgapi.yml

@@ -50,5 +50,4 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/ROCgdb.yml

@@ -92,7 +92,6 @@ jobs:
         --with-rocm-dbgapi=$(Agent.BuildDirectory)/rocm
         LDFLAGS="-Wl,--enable-new-dtags,-rpath=$(Agent.BuildDirectory)/rocm/lib"
       makeCallPrefix: LD_RUN_PATH='${ORIGIN}/../lib'
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
   - task: Bash@3
     displayName: Setup test environment

.azuredevops/components/ROCmValidationSuite.yml

@@ -92,9 +92,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DCPACK_PACKAGING_INSTALL_PREFIX=$(Build.BinariesDirectory)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/Tensile.yml

@@ -57,7 +57,6 @@ jobs:
       # manual build case: triggered by ROCm/ROCm repo
       ${{ elseif ne(parameters.checkoutRef, '') }}:
         dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - task: Bash@3
     displayName: Create wheel file
     inputs:
@@ -79,7 +78,6 @@ jobs:
       targetPath: $(Build.ArtifactStagingDirectory)
 
 - job: Tensile_testing
-  timeoutInMinutes: 90
   dependsOn: Tensile
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:

.azuredevops/components/amdsmi.yml

@@ -31,7 +31,6 @@ jobs:
     parameters:
       extraBuildFlags: >-
         -DBUILD_TESTS=ON
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: amdsmi_testing

.azuredevops/components/aomp-extras.yml

@@ -54,5 +54,4 @@ jobs:
         -DAOMP_VERSION_STRING=$(LATEST_RELEASE_TAG)
         -GNinja
       installDir: $(Build.BinariesDirectory)/llvm
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/aomp.yml

@@ -109,12 +109,11 @@ jobs:
 # for the compilation and installation to go through.
   - script: |
       sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
-      mkdir -p $(Build.BinariesDirectory)/lib/llvm/bin
-      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/clang $(Build.BinariesDirectory)/lib/llvm/bin/clang
-      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/clang++ $(Build.BinariesDirectory)/lib/llvm/bin/clang++
-      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/llvm-config $(Build.BinariesDirectory)/lib/llvm/bin/llvm-config
+      mkdir -p $(Build.BinariesDirectory)/bin
+      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/clang $(Build.BinariesDirectory)/bin/clang
+      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/clang++ $(Build.BinariesDirectory)/bin/clang++
+      ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/llvm-config $(Build.BinariesDirectory)/bin/llvm-config
       ln -s $(Agent.BuildDirectory)/rocm/llvm $(Build.BinariesDirectory)/llvm
-      ls -1R $(Build.BinariesDirectory)
     displayName: Extra build environment setup
 # We follow the sequence described in the aomp repo instructions
 # https://github.com/ROCm/aomp/blob/aomp-dev/docs/SOURCEINSTALL.md
@@ -127,7 +126,7 @@ jobs:
 # method leads to a giant build log compared to separate logs per script call.
 #
 # Components compiled and the order for non-standalone build found at
-# https://github.com/ROCm/aomp/blob/aomp-dev/bin/build_aomp.sh#L135-L142
+# https://github.com/ROCm/aomp/blob/aomp-dev/bin/build_aomp.sh#L135-L143
   - task: Bash@3
     displayName: Build Prereq
     inputs:
@@ -177,6 +176,7 @@ jobs:
       AOMP_USE_NINJA: 1
       ALTAOMP: $(Agent.BuildDirectory)/rocm/llvm
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
@@ -196,11 +196,12 @@ jobs:
       AOMP_USE_NINJA: 1
       ALTAOMP: $(Agent.BuildDirectory)/rocm/llvm
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
       INSTALL_OPENMP: $(Build.BinariesDirectory)
-  - script: ln -s $(Build.BinariesDirectory)/lib/llvm/include/omp.h $(Build.SourcesDirectory)/llvm-project/llvm/include/omp.h
+  - script: ln -s $(Build.BinariesDirectory)/include/omp.h $(Build.SourcesDirectory)/llvm-project/llvm/include/omp.h
     displayName: Link omp header
   - task: Bash@3
     displayName: Build offload
@@ -236,30 +237,15 @@ jobs:
       AOMP_USE_NINJA: 1
       ALTAOMP: $(Agent.BuildDirectory)/rocm/llvm
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
       INSTALL_OPENMP: $(Build.BinariesDirectory)
   - task: Bash@3
-    displayName: Build llvm-classic
+    displayName: Build flang-legacy
     inputs:
-      filePath: $(Build.SourcesDirectory)/aomp/bin/build_llvm-classic.sh
-    env:
-      AOMP_REPOS: $(Build.SourcesDirectory)
-      AOMP_PROJECT_REPO_NAME: llvm-project
-      AOMP_STANDALONE_BUILD: 0
-      AOMP_BUILD_SANITIZER: 0
-      AOMP_BUILD_DEBUG: 0
-      AOMP_USE_NINJA: 1
-      INSTALL_PREFIX: $(Build.BinariesDirectory)
-      LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
-      AOMP: $(Build.BinariesDirectory)
-      AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
-  - task: Bash@3
-    displayName: Install llvm-classic
-    inputs:
-      filePath: $(Build.SourcesDirectory)/aomp/bin/build_llvm-classic.sh
-      arguments: install
+      filePath: $(Build.SourcesDirectory)/aomp/bin/build_flang-legacy.sh
     env:
       AOMP_REPOS: $(Build.SourcesDirectory)
       AOMP_PROJECT_REPO_NAME: llvm-project
@@ -273,24 +259,9 @@ jobs:
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
   - task: Bash@3
-    displayName: Build flang-classic
+    displayName: Install flang-legacy
     inputs:
-      filePath: $(Build.SourcesDirectory)/aomp/bin/build_flang-classic.sh
-    env:
-      AOMP_REPOS: $(Build.SourcesDirectory)
-      AOMP_PROJECT_REPO_NAME: llvm-project
-      AOMP_STANDALONE_BUILD: 0
-      AOMP_BUILD_SANITIZER: 0
-      AOMP_BUILD_DEBUG: 0
-      AOMP_USE_NINJA: 1
-      INSTALL_PREFIX: $(Build.BinariesDirectory)
-      LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
-      AOMP: $(Build.BinariesDirectory)
-      AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
-  - task: Bash@3
-    displayName: Install flang-classic
-    inputs:
-      filePath: $(Build.SourcesDirectory)/aomp/bin/build_flang-classic.sh
+      filePath: $(Build.SourcesDirectory)/aomp/bin/build_flang-legacy.sh
       arguments: install
     env:
       AOMP_REPOS: $(Build.SourcesDirectory)
@@ -300,6 +271,7 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
@@ -315,9 +287,11 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
   - task: Bash@3
     displayName: Install pgmath
     inputs:
@@ -331,9 +305,11 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
   - task: Bash@3
     displayName: Build flang
     inputs:
@@ -346,9 +322,11 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
   - task: Bash@3
     displayName: Install flang
     inputs:
@@ -362,9 +340,11 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
   - task: Bash@3
     displayName: Build flang_runtime
     inputs:
@@ -377,9 +357,11 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
   - task: Bash@3
     displayName: Install flang_runtime
     inputs:
@@ -393,36 +375,24 @@ jobs:
       AOMP_BUILD_DEBUG: 0
       AOMP_USE_NINJA: 1
       INSTALL_PREFIX: $(Build.BinariesDirectory)
+      CMAKE_INSTALL_PREFIX: $(Build.BinariesDirectory)
       LLVM_PROJECT_ROOT: $(Build.SourcesDirectory)/llvm-project
       AOMP: $(Build.BinariesDirectory)
       AOMP_INSTALL_DIR: $(Build.BinariesDirectory)
+      INSTALL_FLANG: $(Build.BinariesDirectory)
 # Clean up build environment before publish artifact
   - script: |
-      rm $(Build.BinariesDirectory)/lib/llvm/bin/clang
-      rm $(Build.BinariesDirectory)/lib/llvm/bin/clang++
-      rm $(Build.BinariesDirectory)/lib/llvm/bin/llvm-config
-      rm $(Build.BinariesDirectory)/lib/llvm/bin/flang
+      rm $(Build.BinariesDirectory)/bin/clang
+      rm $(Build.BinariesDirectory)/bin/clang++
+      rm $(Build.BinariesDirectory)/bin/llvm-config
       rm $(Build.BinariesDirectory)/llvm
     displayName: Remove temporary symbolic links
-# aomp scripts changed where files get installed in scripts, copy to expected location
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
-    parameters:
-      sourceDir: $(Build.BinariesDirectory)/lib/llvm
-      targetDir: $(Build.ArtifactStagingDirectory)
-# Remove temporary directory used to deal with expected paths of scripts
-  - script: |
-      rm -rf $(Build.BinariesDirectory)/lib/llvm
-    displayName: Remove temporary directories
 # Copy the files to artifact staging temporarily to clean up binaries directory
 # and then copy files back to llvm subdirectory in the cleaned up binaries directory
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
     parameters:
       sourceDir: $(Build.BinariesDirectory)
       targetDir: $(Build.ArtifactStagingDirectory)
-      clean: false
-  - script: |
-      ln -s $(Build.ArtifactStagingDirectory)/bin/flang-classic $(Build.ArtifactStagingDirectory)/bin/flang
-    displayName: Recreate flang symlink
   - task: DeleteFiles@1
     displayName: 'Cleanup Binaries Directory'
     inputs:
@@ -439,7 +409,6 @@ jobs:
       SourceFolder: $(Build.ArtifactStagingDirectory)
       Contents: '/**/*'
       RemoveDotFiles: true
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: aomp_testing

.azuredevops/components/composable_kernel.yml

@@ -93,9 +93,6 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/copyHIP.yml

@@ -29,5 +29,4 @@ jobs:
   - template:  ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
     parameters:
       sourceDir: $(Agent.BuildDirectory)/rocm
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/half.yml

@@ -52,7 +52,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DBUILD_FILE_REORG_BACKWARD_COMPATIBILITY=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
   # only run test03 because test11 has too many test cases, taking way too long
   - task: Bash@3

.azuredevops/components/hip-tests.yml

@@ -82,9 +82,6 @@ jobs:
         -DHIP_PATH=$(Agent.BuildDirectory)/rocm
         -DOFFLOAD_ARCH_STR="--offload-arch=$(JOB_GPU_TARGET)"
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
@@ -141,7 +138,6 @@ jobs:
       testDir: $(Agent.BuildDirectory)/rocm/share/hip
   - task: Bash@3
     displayName: Clean up symlink
-    condition: always()
     inputs:
       targetType: inline
       script: sudo rm -rf /opt/rocm

.azuredevops/components/hipBLAS-common.yml

@@ -59,5 +59,4 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/hipBLAS.yml

@@ -16,10 +16,6 @@ parameters:
     - libgtest-dev
     - wget
     - python3-pip
-- name: pipModules
-  type: object
-  default:
-    - pyyaml
 - name: rocmDependencies
   type: object
   default:
@@ -67,7 +63,6 @@ jobs:
   - 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:
@@ -95,9 +90,6 @@ jobs:
         -DBUILD_CLIENTS_SAMPLES=OFF
         -DCPACK_SET_DESTDIR=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
@@ -120,7 +112,6 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
     parameters:
       aptPackages: ${{ parameters.aptPackages }}
-      pipModules: ${{ parameters.pipModules }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
     parameters:

.azuredevops/components/hipBLASLt.yml

@@ -142,9 +142,6 @@ jobs:
         -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
         -DBUILD_CLIENTS_TESTS=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipCUB.yml

@@ -70,9 +70,6 @@ jobs:
         -DBUILD_TEST=ON
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipFFT.yml

@@ -88,9 +88,6 @@ jobs:
         -DBUILD_CLIENTS_BENCHMARKS=OFF
         -DBUILD_CLIENTS_SAMPLES=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipRAND.yml

@@ -74,9 +74,6 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipSOLVER.yml

@@ -95,9 +95,6 @@ jobs:
         -DBUILD_CLIENTS_TESTS=ON
         -DUSE_CUDA=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipSPARSE.yml

@@ -79,10 +79,6 @@ jobs:
         -DBUILD_CLIENTS_TESTS=ON
         -DBUILD_CLIENTS_SAMPLES=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      artifactName: hipSPARSE
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       artifactName: hipSPARSE

.azuredevops/components/hipSPARSELt.yml

@@ -117,9 +117,6 @@ jobs:
         -DROCM_PATH=$(Agent.BuildDirectory)/rocm
         -DBUILD_CLIENTS_TESTS=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipTensor.yml

@@ -70,9 +70,6 @@ jobs:
         -DHIPTENSOR_BUILD_TESTS=ON
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
       multithreadFlag: -- -j32
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/hipfort.yml

@@ -86,9 +86,6 @@ jobs:
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DBUILD_TESTING=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/llvm-project.yml

@@ -27,8 +27,6 @@ jobs:
   - template: /.azuredevops/variables-global.yml
   - name: HIP_DEVICE_LIB_PATH
     value: '$(Build.BinariesDirectory)/amdgcn/bitcode'
-  - name: HIP_PATH
-    value: '$(Agent.BuildDirectory)/rocm'
   pool: ${{ variables.MEDIUM_BUILD_POOL }}
   workspace:
     clean: all
@@ -126,7 +124,6 @@ jobs:
       componentName: comgr
       extraBuildFlags: >-
         -DCMAKE_PREFIX_PATH="$(Build.SourcesDirectory)/llvm/build;$(Build.SourcesDirectory)/amd/device-libs/build"
-        -DCOMGR_DISABLE_SPIRV=1
         -DCMAKE_BUILD_TYPE=Release
       cmakeBuildDir: 'amd/comgr/build'
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
@@ -142,5 +139,4 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DHIPCC_BACKWARD_COMPATIBILITY=OFF
       cmakeBuildDir: 'amd/hipcc/build'
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/omniperf.yml

@@ -1,166 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - python3-pip
-- name: pipModules
-  type: object
-  default:
-    - astunparse==1.6.2
-    - colorlover
-    - dash>=1.12.0
-    - matplotlib
-    - numpy>=1.17.5
-    - pandas>=1.4.3
-    - pymongo
-    - pyyaml
-    - tabulate
-    - tqdm
-    - dash-svg
-    - dash-bootstrap-components
-    - kaleido
-    - setuptools
-    - plotille
-    - mock
-    - pytest
-    - pytest-cov
-    - pytest-xdist
-- name: rocmDependencies
-  type: object
-  default:
-    - clr
-    - llvm-project
-    - rocm-cmake
-    - rocm-core
-    - rocminfo
-    - ROCR-Runtime
-    - rocprofiler
-    - rocprofiler-register
-    - roctracer
-
-jobs:
-- job: omniperf
-  variables:
-  - group: common
-  - template: /.azuredevops/variables-global.yml
-  pool:
-    vmImage: ${{ variables.BASE_BUILD_POOL }}
-  workspace:
-    clean: all
-  strategy:
-    matrix:
-      gfx942:
-        JOB_GPU_TARGET: gfx942
-  steps:
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-    parameters:
-      aptPackages: ${{ parameters.aptPackages }}
-      pipModules: ${{ parameters.pipModules }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-    parameters:
-      checkoutRepo: ${{ parameters.checkoutRepo }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
-      dependencyList: ${{ parameters.rocmDependencies }}
-      gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
-
-- job: omniperf_testing
-  dependsOn: omniperf
-  condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
-  variables:
-  - group: common
-  - template: /.azuredevops/variables-global.yml
-  - name: PYTHON_VERSION
-    value: 3.10
-  pool: $(JOB_TEST_POOL)
-  workspace:
-    clean: all
-  strategy:
-    matrix:
-      gfx942:
-        JOB_GPU_TARGET: gfx942
-        JOB_TEST_POOL: ${{ variables.GFX942_TEST_POOL }}
-  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
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
-      dependencyList: ${{ parameters.rocmDependencies }}
-      gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
-  - task: Bash@3
-    displayName: Add ROCm binaries to PATH
-    inputs:
-      targetType: inline
-      script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-  - task: Bash@3
-    displayName: Add ROCm compilers to PATH
-    inputs:
-      targetType: inline
-      script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-    parameters:
-      extraBuildFlags: >-
-        -DCMAKE_HIP_ARCHITECTURES=$(JOB_GPU_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
-        -DCMAKE_BUILD_TYPE=Release
-        -DENABLE_TESTS=ON
-        -DINSTALL_TESTS=ON
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-    parameters:
-      componentName: omniperf
-      testDir: $(Build.BinariesDirectory)/libexec/omniperf
-      testExecutable: export OMNIPERF_ARCH_OVERRIDE="MI300X"; ctest
-  - task: Bash@3
-    displayName: Remove ROCm binaries from PATH
-    inputs:
-      targetType: inline
-      script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/bin;;' -e 's;^/;;' -e 's;/$;;')"
-  - task: Bash@3
-    displayName: Remove ROCm compilers from PATH
-    inputs:
-      targetType: inline
-      script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/llvm/bin;;' -e 's;^/;;' -e 's;/$;;')"

.azuredevops/components/omnitrace.yml

@@ -127,19 +127,14 @@ jobs:
       componentName: omnitrace
   - task: Bash@3
     displayName: Remove ROCm binaries from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/bin;;' -e 's;^/;;' -e 's;/$;;')"
   - task: Bash@3
     displayName: Remove ROCm compilers from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/llvm/bin;;' -e 's;^/;;' -e 's;/$;;')"
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rccl.yml

@@ -93,9 +93,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/rocm/share/rocm/cmake/
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rdc.yml

@@ -19,19 +19,15 @@ parameters:
     - libtool
     - pkg-config
     - libdrm-dev
-    - libnuma-dev
     - libyaml-cpp-dev
 - name: rocmDependencies
   type: object
   default:
     - amdsmi
     - clr
-    - hipBLAS-common
-    - hipBLASLt
     - llvm-project
     - rocBLAS
     - rocm-cmake
-    - rocm-core
     - rocminfo
     - rocm_smi_lib
     - ROCmValidationSuite
@@ -109,10 +105,6 @@ jobs:
         -DBUILD_RVS=ON
         -DBUILD_PROFILER=ON
         -DBUILD_TESTS=ON
-        -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocAL.yml

@@ -150,9 +150,6 @@ jobs:
         -DCMAKE_INSTALL_PREFIX_PYTHON=$Python3_STDARCH
         -DCMAKE_BUILD_TYPE=Release
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
@@ -229,7 +226,6 @@ jobs:
       testDir: rocAL-tests
   - task: Bash@3
     displayName: Clean up libjpeg-turbo
-    condition: always()
     inputs:
       targetType: inline
       script: |

.azuredevops/components/rocALUTION.yml

@@ -90,9 +90,6 @@ jobs:
         -DBUILD_CLIENTS_BENCHMARKS=OFF
         -DBUILD_CLIENTS_SAMPLES=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocBLAS.yml

@@ -114,9 +114,6 @@ jobs:
         -DBUILD_CLIENTS_SAMPLES=OFF
         -DROCM_PATH=$(Agent.BuildDirectory)/rocm
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocDecode.yml

@@ -85,7 +85,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DCMAKE_BUILD_TYPE=Release
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: rocDecode_testing
@@ -150,4 +149,3 @@ jobs:
       componentName: rocDecode
       testDir: 'rocDecode-tests'
   - script: sudo rm /opt/rocm
-    condition: always()

.azuredevops/components/rocFFT.yml

@@ -87,9 +87,6 @@ jobs:
         -DBUILD_CLIENTS_BENCHMARKS=OFF
         -DBUILD_CLIENTS_SAMPLES=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocJPEG.yml

@@ -1,148 +0,0 @@
-parameters:
-- name: checkoutRepo
-  type: string
-  default: 'self'
-- name: checkoutRef
-  type: string
-  default: ''
-- name: aptPackages
-  type: object
-  default:
-    - cmake
-    - libdrm-dev
-    - libstdc++-12-dev
-    - libva-amdgpu-dev
-    - mesa-amdgpu-va-drivers
-    - ninja-build
-    - pkg-config
-- name: rocmDependencies
-  type: object
-  default:
-    - clr
-    - llvm-project
-    - rocm-cmake
-    - rocminfo
-    - rocm-core
-    - rocprofiler-register
-    - ROCR-Runtime
-- name: rocmTestDependencies
-  type: object
-  default:
-    - clr
-    - llvm-project
-    - rocminfo
-    - rocprofiler-register
-    - ROCR-Runtime
-
-jobs:
-- job: rocJPEG
-  variables:
-  - group: common
-  - template: /.azuredevops/variables-global.yml
-  pool:
-    vmImage: ${{ variables.BASE_BUILD_POOL }}
-  workspace:
-    clean: all
-  steps:
-  # Since mesa-amdgpu-multimedia-devel is not directly available from apt, register it
-  - task: Bash@3
-    displayName: 'Register ROCm packages'
-    inputs:
-      targetType: inline
-      script: |
-        sudo mkdir --parents --mode=0755 /etc/apt/keyrings
-        wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
-        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/${{ variables.KEYRING_VERSION }}/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
-        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/${{ variables.KEYRING_VERSION }} jammy main" | sudo tee --append /etc/apt/sources.list.d/rocm.list
-        echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
-        sudo apt update
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
-    parameters:
-      aptPackages: ${{ parameters.aptPackages }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
-    parameters:
-      checkoutRepo: ${{ parameters.checkoutRepo }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
-      dependencyList: ${{ parameters.rocmDependencies }}
-      gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-    parameters:
-      extraBuildFlags: >-
-        -DROCM_PATH=$(Agent.BuildDirectory)/rocm
-        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-        -DCMAKE_BUILD_TYPE=Release
-        -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-
-- job: rocJPEG_testing
-  dependsOn: rocJPEG
-  condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
-  variables:
-  - group: common
-  - template: /.azuredevops/variables-global.yml
-  pool:
-    name: $(JOB_TEST_POOL)
-    demands: firstRenderDeviceAccess
-  workspace:
-    clean: all
-  strategy:
-    matrix:
-      gfx942:
-        JOB_GPU_TARGET: gfx942
-        JOB_TEST_POOL: ${{ variables.GFX942_TEST_POOL }}
-  steps:
-  # Since mesa-amdgpu-multimedia-devel is not directly available from apt, register it
-  - task: Bash@3
-    displayName: 'Register ROCm packages'
-    inputs:
-      targetType: inline
-      script: |
-        sudo mkdir --parents --mode=0755 /etc/apt/keyrings
-        wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
-        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/${{ variables.KEYRING_VERSION }}/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
-        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/${{ variables.KEYRING_VERSION }} jammy main" | sudo tee --append /etc/apt/sources.list.d/rocm.list
-        echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
-        sudo apt update
-  - 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
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
-      dependencyList: ${{ parameters.rocmTestDependencies }}
-      gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
-  # anything in /opt may be persistent across runs
-  # so we need to remove the symlink if it already exists
-  - script: |
-      sudo rm -rf /opt/rocm
-      sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
-      mkdir rocJPEG-tests
-      cd rocJPEG-tests
-      cmake $(Agent.BuildDirectory)/rocm/share/rocjpeg/test
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
-    parameters:
-      componentName: rocJPEG
-      testDir: 'rocJPEG-tests'
-  - script: sudo rm /opt/rocm
-    condition: always()

.azuredevops/components/rocMLIR.yml

@@ -63,7 +63,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DBUILD_FAT_LIBROCKCOMPILER=1
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 # compiling and running test on the test system together

.azuredevops/components/rocPRIM.yml

@@ -69,9 +69,6 @@ jobs:
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DBUILD_TEST=ON
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocPyDecode.yml

@@ -97,9 +97,6 @@ jobs:
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DCMAKE_INSTALL_PREFIX_PYTHON=$(Build.BinariesDirectory)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
@@ -181,7 +178,6 @@ jobs:
     parameters:
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      setupHIPLibrarySymlinks: true
       ${{ if eq(parameters.checkoutRef, '') }}:
         dependencySource: staging
       ${{ elseif ne(parameters.checkoutRef, '') }}:

.azuredevops/components/rocRAND.yml

@@ -71,9 +71,6 @@ jobs:
         -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocSOLVER.yml

@@ -105,9 +105,6 @@ jobs:
         -DBUILD_CLIENTS_BENCHMARKS=OFF
         -DBUILD_CLIENTS_SAMPLES=OFF
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocSPARSE.yml

@@ -88,10 +88,6 @@ jobs:
         -DBUILD_CLIENTS_BENCHMARKS=OFF
         -DCMAKE_MODULE_PATH=$(Agent.BuildDirectory)/rocm/lib/cmake/hip;$(Agent.BuildDirectory)/rocm/hip/cmake
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      artifactName: rocSPARSE
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       artifactName: rocSPARSE

.azuredevops/components/rocThrust.yml

@@ -74,9 +74,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DBUILD_TEST=ON
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocWMMA.yml

@@ -83,12 +83,8 @@ jobs:
         -DROCWMMA_BUILD_TESTS=ON
         -DROCWMMA_BUILD_SAMPLES=OFF
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
-        -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
         -GNinja
 # gfx1030 not supported in documentation
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocm-cmake.yml

@@ -47,5 +47,4 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:
       componentName: rocm-cmake
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/rocm-core.yml

@@ -30,5 +30,4 @@ jobs:
         -DCPACK_DEBIAN_PACKAGE_RELEASE="local.9999~99.99"
         -DCPACK_RPM_PACKAGE_RELEASE="local.9999"
         -DROCM_VERSION="$(next-release)"
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/rocm-examples.yml

@@ -10,7 +10,6 @@ parameters:
   default:
     - cmake
     - libglfw3-dev
-    - libtbb-dev
     - python3-pip
 - name: rocmDependencies
   type: object
@@ -110,9 +109,6 @@ jobs:
       script: |
         mkdir -p $(Build.BinariesDirectory)/examples
         mv $(Build.BinariesDirectory)/bin/* $(Build.BinariesDirectory)/examples
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocm_bandwidth_test.yml

@@ -69,7 +69,6 @@ jobs:
         -DCMAKE_MODULE_PATH=$(Build.SourcesDirectory)/cmake_modules
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/rocm/include;$(Agent.BuildDirectory)/rocm/include/hsa
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: rocm_bandwidth_test_testing

.azuredevops/components/rocm_smi_lib.yml

@@ -25,7 +25,6 @@ jobs:
       extraBuildFlags: >-
         -DBUILD_TESTS=ON
         -DROCM_DEP_ROCMCORE=ON
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: rocm_smi_lib_testing

.azuredevops/components/rocminfo.yml

@@ -45,7 +45,6 @@ jobs:
       extraBuildFlags: >-
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DROCRTST_BLD_TYPE=release
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: rocminfo_testing

.azuredevops/components/rocprofiler-compute.yml

@@ -41,7 +41,6 @@ parameters:
     - rocm-cmake
     - rocm-core
     - rocminfo
-    - rocm_smi_lib
     - ROCR-Runtime
     - rocprofiler
     - rocprofiler-register
@@ -86,15 +85,11 @@ jobs:
       ${{ elseif ne(parameters.checkoutRef, '') }}:
         dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
 
 - job: rocprofiler_compute_testing
-  timeoutInMinutes: 120
   dependsOn: rocprofiler_compute
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:
@@ -159,7 +154,6 @@ jobs:
         -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
@@ -168,16 +162,14 @@ jobs:
     parameters:
       componentName: rocprofiler-compute
       testDir: $(Build.BinariesDirectory)/libexec/rocprofiler-compute
-      testExecutable: ROCPROFCOMPUTE_ARCH_OVERRIDE="MI300X" ROCM_PATH=$(Agent.BuildDirectory)/rocm ctest
+      testExecutable: export ROCPROFCOMPUTE_ARCH_OVERRIDE="MI300X"; ctest
   - task: Bash@3
     displayName: Remove ROCm binaries from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/bin;;' -e 's;^/;;' -e 's;/$;;')"
   - task: Bash@3
     displayName: Remove ROCm compilers from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/llvm/bin;;' -e 's;^/;;' -e 's;/$;;')"

.azuredevops/components/rocprofiler-register.yml

@@ -34,5 +34,4 @@ jobs:
     parameters:
       componentName: rocprofiler-register
       testDir: 'tests/build'
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml

.azuredevops/components/rocprofiler-sdk.yml

@@ -41,7 +41,6 @@ parameters:
     - ROCR-Runtime
     - rocprofiler-register
     - roctracer
-    - aomp
 
 jobs:
 - job: rocprofilersdk
@@ -89,9 +88,6 @@ jobs:
         -DROCPROFILER_BUILD_SAMPLES=OFF
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
       multithreadFlag: -- -j2
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocprofiler-systems.yml

@@ -51,7 +51,6 @@ parameters:
     - rocprofiler
     - rocprofiler-register
     - roctracer
-    - rocprofiler-sdk
 
 jobs:
 - job: rocprofiler_systems
@@ -74,12 +73,6 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
       dependencyList: ${{ parameters.rocmDependencies }}
@@ -112,11 +105,9 @@ jobs:
 # build flags reference: https://rocm.docs.amd.com/projects/omnitrace/en/latest/install/install.html
       extraBuildFlags: >-
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
-        -DROCM_PATH=$(Agent.BuildDirectory)/rocm
         -DROCPROFSYS_BUILD_TESTING=ON
         -DROCPROFSYS_BUILD_DYNINST=ON
         -DROCPROFSYS_BUILD_LIBUNWIND=ON
-        -DROCPROFSYS_DISABLE_EXAMPLES="openmp-target"
         -DDYNINST_BUILD_TBB=ON
         -DDYNINST_BUILD_ELFUTILS=ON
         -DDYNINST_BUILD_LIBIBERTY=ON
@@ -136,19 +127,14 @@ jobs:
       componentName: rocprofiler-systems
   - task: Bash@3
     displayName: Remove ROCm binaries from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/bin;;' -e 's;^/;;' -e 's;/$;;')"
   - task: Bash@3
     displayName: Remove ROCm compilers from PATH
-    condition: always()
     inputs:
       targetType: inline
       script: echo "##vso[task.setvariable variable=PATH]$(echo $PATH | sed -e 's;:$(Agent.BuildDirectory)/rocm/llvm/bin;;' -e 's;^/;;' -e 's;/$;;')"
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocprofiler.yml

@@ -92,9 +92,6 @@ jobs:
         -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
       multithreadFlag: -- -j32
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocr_debug_agent.yml

@@ -68,7 +68,6 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DROCM_PATH=$(Agent.BuildDirectory)/rocm
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
 
 - job: rocr_debug_agent_testing

.azuredevops/components/roctracer.yml

@@ -78,9 +78,6 @@ jobs:
         -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rpp.yml

@@ -85,9 +85,6 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
-    parameters:
-      gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
@@ -181,4 +178,3 @@ jobs:
       testExecutable: 'export PATH=$(Agent.BuildDirectory)/rocm/llvm/bin:$PATH; CC=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang CMAKE_VERBOSE_MAKEFILE=ON VERBOSE=1 ctest'
       testDir: 'rpp-tests'
   - script: sudo rm /opt/rocm
-    condition: always()

.azuredevops/nightly/pytorch.yml

@@ -142,10 +142,6 @@ parameters:
     - binary_ufuncs
     - autograd
 #    - inductor/torchinductor takes too long
-# set to false to disable torchvision build and test
-- name: includeVision
-  type: boolean
-  default: false
 
 trigger: none
 pr: none
@@ -241,12 +237,6 @@ jobs:
         git clone https://github.com/pytorch/builder.git --depth=1 --recurse-submodules
         sudo ln -s $(Build.SourcesDirectory)/builder /builder
       workingDirectory: $(Build.SourcesDirectory)
-  - task: Bash@3
-    displayName: Temporarily Patch CK Submodule
-    inputs:
-      targetType: inline
-      script: git pull origin develop
-      workingDirectory: $(Build.SourcesDirectory)/pytorch/third_party/composable_kernel
   - task: Bash@3
     displayName: Install patchelf
     inputs:
@@ -306,60 +296,59 @@ jobs:
       sourceDir: /remote/wheelhouserocm$(ROCM_VERSION)
       contentsString: '*.whl'
 # common helper source for pytorch vision and audio
-  - ${{ if eq(parameters.includeVision, true) }}:
-    - task: Bash@3
-      displayName: git clone pytorch test-infra
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/pytorch/test-infra.git --depth=1 --recurse-submodules
-        workingDirectory: $(Build.SourcesDirectory)
-    - task: Bash@3
-      displayName: install package helper
-      inputs:
-        targetType: inline
-        script: python3 -m pip install test-infra/tools/pkg-helpers
-        workingDirectory: $(Build.SourcesDirectory)
-    - task: Bash@3
-      displayName: pytorch pkg helpers
-      inputs:
-        targetType: inline
-        script: CU_VERSION=${CU_VERSION} CHANNEL=${CHANNEL} python -m pytorch_pkg_helpers
-  # get torch vision source and build
-    - task: Bash@3
-      displayName: git clone pytorch vision
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/pytorch/vision.git --depth=1 --recurse-submodules
-        workingDirectory: $(Build.SourcesDirectory)
-    - task: Bash@3
-      displayName: Build vision
-      inputs:
-        targetType: inline
-        script: >-
-          TORCH_PACKAGE_NAME=torch.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
-          TORCHVISION_PACKAGE_NAME=torchvision.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
-          PYTORCH_VERSION=$(cat $(Build.SourcesDirectory)/pytorch/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
-          BUILD_VERSION=$(cat $(Build.SourcesDirectory)/vision/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
-          python3 setup.py bdist_wheel
-        workingDirectory: $(Build.SourcesDirectory)/vision
-    - task: Bash@3
-      displayName: Relocate vision
-      inputs:
-        targetType: inline
-        script: python3 packaging/wheel/relocate.py
-        workingDirectory: $(Build.SourcesDirectory)/vision
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
-      parameters:
-        sourceDir: $(Build.SourcesDirectory)/vision/dist
-        contentsString: '*.whl'
-        clean: false
+  - task: Bash@3
+    displayName: git clone pytorch test-infra
+    inputs:
+      targetType: inline
+      script: git clone https://github.com/pytorch/test-infra.git --depth=1 --recurse-submodules
+      workingDirectory: $(Build.SourcesDirectory)
+  - task: Bash@3
+    displayName: install package helper
+    inputs:
+      targetType: inline
+      script: python3 -m pip install test-infra/tools/pkg-helpers
+      workingDirectory: $(Build.SourcesDirectory)
+  - task: Bash@3
+    displayName: pytorch pkg helpers
+    inputs:
+      targetType: inline
+      script: CU_VERSION=${CU_VERSION} CHANNEL=${CHANNEL} python -m pytorch_pkg_helpers
+# get torch vision source and build
+  - task: Bash@3
+    displayName: git clone pytorch vision
+    inputs:
+      targetType: inline
+      script: git clone https://github.com/pytorch/vision.git --depth=1 --recurse-submodules
+      workingDirectory: $(Build.SourcesDirectory)
+  - task: Bash@3
+    displayName: Build vision
+    inputs:
+      targetType: inline
+      script: >-
+        TORCH_PACKAGE_NAME=torch.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
+        TORCHVISION_PACKAGE_NAME=torchvision.$(ROCM_BRANCH).$(JOB_GPU_TARGET)
+        PYTORCH_VERSION=$(cat $(Build.SourcesDirectory)/pytorch/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
+        BUILD_VERSION=$(cat $(Build.SourcesDirectory)/vision/version.txt | cut -da -f1)post$(date -u +%Y%m%d)
+        python3 setup.py bdist_wheel
+      workingDirectory: $(Build.SourcesDirectory)/vision
+  - task: Bash@3
+    displayName: Relocate vision
+    inputs:
+      targetType: inline
+      script: python3 packaging/wheel/relocate.py
+      workingDirectory: $(Build.SourcesDirectory)/vision
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-prepare-package.yml
+    parameters:
+      sourceDir: $(Build.SourcesDirectory)/vision/dist
+      contentsString: '*.whl'
+      clean: false
   - task: PublishPipelineArtifact@1
     displayName: 'wheel file Publish'
     retryCountOnTaskFailure: 3
     inputs:
       targetPath: $(Build.BinariesDirectory)
 
-- job: pytorch_testing
+- job: torchvision_testing
   dependsOn: pytorch
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:
@@ -412,13 +401,12 @@ jobs:
       targetType: inline
       script: git clone https://github.com/pytorch/pytorch.git --depth=1 --recurse-submodules
       workingDirectory: $(Build.SourcesDirectory)
-  - ${{ if eq(parameters.includeVision, true) }}:
-    - task: Bash@3
-      displayName: git clone pytorch vision
-      inputs:
-        targetType: inline
-        script: git clone https://github.com/pytorch/vision.git --depth=1 --recurse-submodules
-        workingDirectory: $(Build.SourcesDirectory)
+  - task: Bash@3
+    displayName: git clone pytorch vision
+    inputs:
+      targetType: inline
+      script: git clone https://github.com/pytorch/vision.git --depth=1 --recurse-submodules
+      workingDirectory: $(Build.SourcesDirectory)
   - task: Bash@3
     displayName: Install Wheel Files
     inputs:
@@ -522,14 +510,13 @@ jobs:
           script: pytest test/test_${{ torchTest }}.py
 # Reference on what tests to run for torchvision found in private repo:
 # https://github.com/ROCm/rocAutomation/blob/jenkins-pipelines/pytorch/pytorch_ci/test_torchvision.sh#L51
-  - ${{ if eq(parameters.includeVision, true) }}:
-    - task: Bash@3
-      displayName: Test vision/transforms
-      continueOnError: true
-      inputs:
-        targetType: inline
-        script: pytest test/test_transforms.py
-        workingDirectory: $(Build.SourcesDirectory)/vision
+  - task: Bash@3
+    displayName: Test vision/transforms
+    continueOnError: true
+    inputs:
+      targetType: inline
+      script: pytest test/test_transforms.py
+      workingDirectory: $(Build.SourcesDirectory)/vision
   - task: Bash@3
     displayName: Uninstall Wheel Files
     inputs:

.azuredevops/nightly/rocm-nightly.yml

@@ -26,7 +26,6 @@ parameters:
     - llvm-project
     - MIOpen
     - MIVisionX
-    - omniperf
     - rccl
     - rdc
     - rocAL
@@ -36,7 +35,6 @@ parameters:
     - rocDecode
     - rocFFT
     - ROCgdb
-    - rocJPEG
     - rocm-cmake
     - rocm-core
     - rocm-examples
@@ -109,7 +107,6 @@ jobs:
     displayName: System disk space after ROCm
   - script: du -sh $(Agent.BuildDirectory)/rocm
     displayName: Uncompressed ROCm size
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - task: ArchiveFiles@2
     displayName: Compress rocm-nightly
     inputs:

.azuredevops/tag-builds/omniperf.yml

@@ -1,29 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: checkoutRef
-  type: string
-  default: refs/tags/$(LATEST_RELEASE_TAG)
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-  - repository: release_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/omniperf
-    ref: ${{ parameters.checkoutRef }}
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_COMPONENT_PATH }}/omniperf.yml
-    parameters:
-      checkoutRepo: release_repo
-      checkoutRef: ${{ parameters.checkoutRef }}

.azuredevops/tag-builds/rocJPEG.yml

@@ -1,29 +0,0 @@
-variables:
-- group: common
-- template: /.azuredevops/variables-global.yml
-
-parameters:
-- name: checkoutRef
-  type: string
-  default: refs/tags/$(LATEST_RELEASE_TAG)
-
-resources:
-  repositories:
-  - repository: pipelines_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/ROCm
-  - repository: release_repo
-    type: github
-    endpoint: ROCm
-    name: ROCm/rocJPEG
-    ref: ${{ parameters.checkoutRef }}
-
-trigger: none
-pr: none
-
-jobs:
-  - template: ${{ variables.CI_COMPONENT_PATH }}/rocJPEG.yml
-    parameters:
-      checkoutRepo: release_repo
-      checkoutRef: ${{ parameters.checkoutRef }}

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

@@ -60,7 +60,6 @@ parameters:
     rocDecode: develop
     rocFFT: develop
     ROCgdb: amd-staging
-    rocJPEG: develop
     rocm-cmake: develop
     rocm-core: amd-staging
     rocm-examples: develop
@@ -122,8 +121,7 @@ parameters:
     ROCdbgapi : amd-mainline
     rocDecode: mainline
     rocFFT: mainline
-    ROCgdb: amd-mainline-rocgdb-15
-    rocJPEG: mainline
+    ROCgdb: amd-mainline-rocgdb-15 #
     rocm-cmake: mainline
     rocm-core: amd-master
     rocm-examples: develop # no mainline

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

@@ -65,7 +65,6 @@ parameters:
     rocDecode: $(ROCDECODE_PIPELINE_ID)
     rocFFT: $(ROCFFT_PIPELINE_ID)
     ROCgdb: $(ROCGDB_PIPELINE_ID)
-    rocJPEG: $(ROCJPEG_PIPELINE_ID)
     rocm-cmake: $(ROCM_CMAKE_PIPELINE_ID)
     rocm-core: $(ROCM_CORE_PIPELINE_ID)
     rocm-examples: $(ROCM_EXAMPLES_PIPELINE_ID)
@@ -129,7 +128,6 @@ parameters:
     rocDecode: $(ROCDECODE_TAGGED_PIPELINE_ID)
     rocFFT: $(ROCFFT_TAGGED_PIPELINE_ID)
     ROCgdb: $(ROCGDB_TAGGED_PIPELINE_ID)
-    rocJPEG: $(ROCJPEG_TAGGED_PIPELINE_ID)
     rocm-cmake: $(ROCM_CMAKE_TAGGED_PIPELINE_ID)
     rocm-core: $(ROCM_CORE_TAGGED_PIPELINE_ID)
     rocm-examples: $(ROCM_EXAMPLES_TAGGED_PIPELINE_ID)
@@ -165,11 +163,6 @@ parameters:
 - name: skipLlvmSymlink
   type: boolean
   default: false
-# set to true if dlopen calls for HIP libraries are causing failures
-# because they do not follow shared library symlink convention
-- name: setupHIPLibrarySymlinks
-  type: boolean
-  default: false
 # some ROCm components can specify GPU target and this will affect downloads
 - name: gpuTarget
   type: string
@@ -285,37 +278,6 @@ steps:
         for file in amdclang amdclang++ amdclang-cl amdclang-cpp amdflang amdlld aompcc mygpu mycpu offload-arch; do
           sudo ln -s $(Agent.BuildDirectory)/rocm/llvm/bin/$file $(Agent.BuildDirectory)/rocm/bin/$file
         done
-# dlopen calls within a ctest or pytest sequence runs into issues when shared library symlink convention is not followed
-# the convention is as follows:
-# unversioned .so is a symlink to major version .so
-# major version .so is a symlink to detailed version .so
-# HIP libraries do not follow this convention, and each .so is a copy of each other
-# changing the library structure to follow the symlink convention resolves some test failures
-- ${{ if eq(parameters.setupHIPLibrarySymlinks, true) }}:
-  - task: Bash@3
-    displayName: Setup symlinks for hip libraries
-    inputs:
-      targetType: inline
-      workingDirectory: $(Agent.BuildDirectory)/rocm/lib
-      script: |
-        LIBRARIES=("libamdhip64" "libhiprtc-builtins" "libhiprtc")
-        for LIB_NAME in "${LIBRARIES[@]}"; do
-            VERSIONED_SO=$(ls ${LIB_NAME}.so.* 2>/dev/null | grep -E "${LIB_NAME}\.so\.[0-9]+\.[0-9]+\.[0-9]+(-.*)?" | sort -V | tail -n 1)
-            if [[ -z "$VERSIONED_SO" ]]; then
-                continue
-            fi
-            MAJOR_VERSION=$(echo "$VERSIONED_SO" | grep -oP "${LIB_NAME}\.so\.\K[0-9]+")
-            if [[ -e "${LIB_NAME}.so.${MAJOR_VERSION}" && ! -L "${LIB_NAME}.so.${MAJOR_VERSION}" ]]; then
-                rm -f "${LIB_NAME}.so.${MAJOR_VERSION}"
-            fi
-            if [[ -e "${LIB_NAME}.so" && ! -L "${LIB_NAME}.so" ]]; then
-                rm -f "${LIB_NAME}.so"
-            fi
-            ln -sf "$VERSIONED_SO" "${LIB_NAME}.so.${MAJOR_VERSION}"
-            ln -sf "${LIB_NAME}.so.${MAJOR_VERSION}" "${LIB_NAME}.so"
-            echo "Symlinks created for $LIB_NAME:"
-            ls -l ${LIB_NAME}.so*
-        done
 - task: Bash@3
   displayName: 'List downloaded ROCm files'
   inputs:

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

@@ -29,17 +29,17 @@ steps:
         definition: ${{ parameters.definitionId }}
         buildId: ${{ parameters.buildId }}
       itemPattern: '**/*${{ parameters.gpuTarget }}*'
-      targetPath: $(Pipeline.Workspace)/d
+      targetPath: $(System.ArtifactsDirectory)
   - task: ExtractFiles@1
     displayName: 'Extract Pipeline Build'
     inputs:
-      archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
+      archiveFilePatterns: '$(System.ArtifactsDirectory)/**/*.tar.gz'
       destinationFolder: '$(Agent.BuildDirectory)/rocm'
       cleanDestinationFolder: false
       overwriteExistingFiles: true
   - task: DeleteFiles@1
     displayName: 'Clean up Compressed Pipeline Build'
     inputs:
-      SourceFolder: '$(Pipeline.Workspace)/d'
+      SourceFolder: '$(System.ArtifactsDirectory)'
       Contents: '/**/*.tar.xz'
       RemoveDotFiles: true

.azuredevops/templates/steps/manifest.yml

@@ -1,140 +0,0 @@
-parameters:
-- name: artifactName
-  type: string
-  default: 'drop'
-- name: gpuTarget
-  type: string
-  default: ''
-
-steps:
-- task: Bash@3
-  displayName: Set up current_repo values
-  condition: always()
-  continueOnError: true
-  inputs:
-    targetType: inline
-    script: |
-      sudo apt-get install -y jq
-
-      # RESOURCES_REPOSITORIES is a runtime variable (not an env var!) that contains quotations and newlines
-      # So we need to save it to a file to properly preserve its formatting and contents
-      cat <<EOF > resources.repositories
-      $(RESOURCES_REPOSITORIES)
-      EOF
-      cat resources.repositories
-
-      IS_TAG_BUILD=$(jq 'has("release_repo")' resources.repositories)
-      if [ "$IS_TAG_BUILD" = "true" ]; then
-        REPO_TYPE="release_repo" # Triggered by a ROCm/ROCm tag-builds file
-      else
-        REPO_TYPE="self" # Triggered by component repo's rocm-ci.yml file
-      fi
-
-      echo "##vso[task.setvariable variable=current_repo.id;]$(jq .$REPO_TYPE.id resources.repositories | tr -d '"')"
-      echo "##vso[task.setvariable variable=current_repo.name;]$(jq .$REPO_TYPE.name resources.repositories | tr -d '"')"
-      echo "##vso[task.setvariable variable=current_repo.ref;]$(jq .$REPO_TYPE.ref resources.repositories | tr -d '"')"
-      echo "##vso[task.setvariable variable=current_repo.url;]$(jq .$REPO_TYPE.url resources.repositories | tr -d '"')"
-      echo "##vso[task.setvariable variable=current_repo.version;]$(jq .$REPO_TYPE.version resources.repositories | tr -d '"')"
-- task: Bash@3
-  displayName: Create manifest.json
-  condition: always()
-  continueOnError: true
-  inputs:
-    targetType: inline
-    script: |
-      manifest_json=$(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.SourceBranchName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.artifactName }}_${{ parameters.gpuTarget }}.json
-
-      dependencies=()
-      for manifest_file in $(Pipeline.Workspace)/d/**/manifest_*.json; do
-        echo "Processing $manifest_file"
-        cat $manifest_file
-        current=$(jq '.current' "$manifest_file")
-        dependencies+=("$current")
-      done
-      dependencies_json=$(printf '%s\n' "${dependencies[@]}" | jq -s '.')
-
-      jq -n \
-        --arg buildNumber "$(Build.BuildNumber)" \
-        --arg buildId "$(Build.BuildId)" \
-        --arg repoId "$(current_repo.id)" \
-        --arg repoName "$(current_repo.name)" \
-        --arg repoRef "$(current_repo.ref)" \
-        --arg repoUrl "$(current_repo.url)" \
-        --arg repoVersion "$(current_repo.version)" \
-        --argjson dependencies "$dependencies_json" \
-        '{
-          current: {
-            buildNumber: $buildNumber,
-            buildId: $buildId,
-            repoId: $repoId,
-            repoName: $repoName,
-            repoRef: $repoRef,
-            repoUrl: $repoUrl,
-            repoVersion: $repoVersion
-          },
-          dependencies: $dependencies
-        }' > $manifest_json
-
-      dependencies_rows=$(cat $manifest_json | \
-        jq -r '
-          .dependencies[] | 
-          "<tr><td>" + .buildNumber + "</td>" + 
-          "<td><a href=\"https://dev.azure.com/ROCm-CI/ROCm-CI/_build/results?buildId=" + .buildId + "\">" + .buildId + "</a></td>" + 
-          "<td><a href=\"" + .repoUrl + "\">" + .repoName + "</a></td>" + 
-          "<td><a href=\"" + .repoUrl + "/tree/" + .repoRef + "\">" + .repoRef + "</a></td>" + 
-          "<td><a href=\"" + .repoUrl + "/commit/" + .repoVersion + "\">" + .repoVersion + "</a></td></tr>"
-        ')
-      dependencies_rows=$(echo $dependencies_rows)
-      echo "##vso[task.setvariable variable=dependencies_rows;]$dependencies_rows"
-
-      cat $manifest_json
-- task: Bash@3
-  displayName: Create manifest.html
-  condition: always()
-  continueOnError: true
-  inputs:
-    targetType: inline
-    script: |
-      manifest_html=$(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.SourceBranchName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.artifactName }}_${{ parameters.gpuTarget }}.html
-      cat <<EOF > $manifest_html
-      <html>
-      <h1>Manifest</h1>
-      <h2>Current</h2>
-      <table border="1">
-      <tr>
-        <th>Build Number</th>
-        <th>Build ID</th>
-        <th>Repo Name</th>
-        <th>Repo Ref</th>
-        <th>Repo Version</th>
-      </tr>
-      <tr>
-        <td>$(Build.BuildNumber)</td>
-        <td><a href="https://dev.azure.com/ROCm-CI/ROCm-CI/_build/results?buildId=$(Build.BuildId)">$(Build.BuildId)</a></td>
-        <td><a href="$(current_repo.url)">$(current_repo.name)</a></td>
-        <td><a href="$(current_repo.url)/tree/$(current_repo.ref)">$(current_repo.ref)</a></td>
-        <td><a href="$(current_repo.url)/commit/$(current_repo.version)">$(current_repo.version)</a></td>
-      </tr>
-      </table>
-      <h2>Dependencies</h2>
-      <table border="1">
-      <tr>
-        <th>Build Number</th>
-        <th>Build ID</th>
-        <th>Repo Name</th>
-        <th>Repo Ref</th>
-        <th>Repo Version</th>
-      </tr>
-      $(dependencies_rows)
-      </table>
-      </html>
-      EOF
-
-      cat $manifest_html
-- task: PublishHtmlReport@1
-  displayName: Publish manifest.html
-  condition: always()
-  continueOnError: true
-  inputs:
-    tabName: Manifest
-    reportDir: $(Build.ArtifactStagingDirectory)/manifest_$(Build.DefinitionName)_$(Build.SourceBranchName)_$(Build.BuildId)_$(Build.BuildNumber)_ubuntu2204_${{ parameters.artifactName }}_${{ parameters.gpuTarget }}.html

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

@@ -1,72 +0,0 @@
-parameters:
-- name: gpuTarget
-  type: string
-  default: ''
-
-steps:
-- task: Bash@3
-  name: downloadCKBuild
-  displayName: Download specific CK build
-  continueOnError: true
-  env:
-    CXX: $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-    CC: $(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-  inputs:
-    targetType: inline
-    workingDirectory: $(Build.SourcesDirectory)
-    script: |
-      AZ_API="https://dev.azure.com/ROCm-CI/ROCm-CI/_apis"
-      GH_API="https://api.github.com/repos/ROCm"
-      ARTIFACT_NAME="composablekernel.${{ parameters.gpuTarget }}"
-      EXIT_CODE=0
-
-      # The commits that MIOpen reference are all merge commits from CK/develop to CK/amd-develop
-      # These commits are present on CK/amd-develop but not on CK/develop
-      # Ex-CI only builds CK/develop, so we need to find a commit present on both CK/develop and CK/amd-develop
-
-      CK_COMMIT=$(grep 'ROCm/composable_kernel' requirements.txt | sed -E 's/.*@([a-f0-9]{40}).*/\1/')
-      echo "Fetching CK build ID for commit $CK_COMMIT"
-      CK_COMMIT_URL="$GH_API/composable_kernel/commits/${CK_COMMIT}"
-      PARENT_COMMIT=$(curl -s $CK_COMMIT_URL | jq '.parents[1].sha' | tr -d '"')
-      echo "Found parent commit: $PARENT_COMMIT"
-      PARENT_CHECKS_URL="$GH_API/composable_kernel/commits/${PARENT_COMMIT}/check-runs"
-      CK_BUILD_ID=$(curl -s $PARENT_CHECKS_URL | \
-        jq '.check_runs[] | select(.name == "composable_kernel" and .app.slug == "azure-pipelines") | .details_url' | \
-        tr -d '"' | grep -oP 'buildId=\K\d+')
-
-      if [ -z "$CK_BUILD_ID" ]; then
-        echo "Did not find specific CK build ID"
-        LATEST_BUILD_URL="$AZ_API/build/builds?definitions=$(COMPOSABLE_KERNEL_PIPELINE_ID)&status=completed&result=succeeded&\$top=1&api-version=7.1"
-        CK_BUILD_ID=$(curl -s $LATEST_BUILD_URL | jq '.value[0].id')
-        echo "Found latest CK build ID: $CK_BUILD_ID"
-        EXIT_CODE=1
-      fi
-
-      AZURE_URL="$AZ_API/build/builds/$CK_BUILD_ID/artifacts?artifactName=$ARTIFACT_NAME&api-version=7.1"
-      ARTIFACT_URL=$(curl -s $AZURE_URL | jq '.resource.downloadUrl' | tr -d '"')
-
-      if [ -z "$ARTIFACT_URL" ]; then
-        echo "Did not find specific CK build artifact"
-        LATEST_BUILD_URL="$AZ_API/build/builds?definitions=$(COMPOSABLE_KERNEL_PIPELINE_ID)&status=completed&result=succeeded&\$top=1&api-version=7.1"
-        CK_BUILD_ID=$(curl -s $LATEST_BUILD_URL | jq '.value[0].id')
-        echo "Found latest CK build ID: $CK_BUILD_ID"
-        AZURE_URL="$AZ_API/build/builds/$CK_BUILD_ID/artifacts?artifactName=$ARTIFACT_NAME&api-version=7.1"
-        ARTIFACT_URL=$(curl -s $AZURE_URL | jq '.resource.downloadUrl' | tr -d '"')
-        EXIT_CODE=2
-      elif [ $EXIT_CODE -eq 0 ]; then
-        echo "Found specific CK build ID: $CK_BUILD_ID"
-      fi
-
-      echo "Downloading CK artifact from $ARTIFACT_URL"
-      wget -nv $ARTIFACT_URL -O $(System.ArtifactsDirectory)/ck.zip
-      unzip $(System.ArtifactsDirectory)/ck.zip -d $(System.ArtifactsDirectory)
-      mkdir -p $(Agent.BuildDirectory)/rocm
-      tar -zxvf $(System.ArtifactsDirectory)/$ARTIFACT_NAME/*.tar.gz -C $(Agent.BuildDirectory)/rocm
-      rm -r $(System.ArtifactsDirectory)/ck.zip $(System.ArtifactsDirectory)/$ARTIFACT_NAME
-
-      if [ $EXIT_CODE -ne 0 ]; then
-        BUILD_COMMIT=$(curl -s $AZ_API/build/builds/$CK_BUILD_ID | jq '.sourceVersion' | tr -d '"')
-        echo "WARNING: couldn't find a CK build for commit $CK_COMMIT"
-        echo "Instead used latest CK build $CK_BUILD_ID for commit $BUILD_COMMIT"
-      fi
-      exit $EXIT_CODE

.azuredevops/templates/steps/test.yml

@@ -26,23 +26,25 @@ parameters:
 - name: testPublishResults
   type: boolean
   default: true
-- name: allowPartiallySucceededBuilds
-  type: object
-  default:
-    - amdsmi
-    - aomp
-    - HIPIFY
-    - MIVisionX
-    - rocm-cmake
-    - rocm_smi_lib
-    - roctracer
+- name: reloadAMDGPU
+  type: boolean
+  default: false
 
 steps:
+# Avoids occasional AMDGPU driver issues with opening /dev/kfd
+- ${{ if parameters.reloadAMDGPU }}:
+  - task: Bash@3
+    displayName: Unload and reload AMDGPU
+    inputs:
+      targetType: inline
+      script: |
+        sudo modprobe -r amdgpu
+        sudo modprobe amdgpu
 # run test, continue on failure to publish results
 # and to publish build artifacts
 - task: Bash@3
   displayName: '${{ parameters.componentName }} Test'
-  continueOnError: ${{ containsValue(parameters.allowPartiallySucceededBuilds, parameters.componentName) }}
+  continueOnError: true
   inputs:
     targetType: inline
     script: ${{ parameters.testExecutable }} ${{ parameters.testParameters }}
@@ -50,8 +52,8 @@ steps:
 - ${{ if parameters.testPublishResults }}:
   - task: PublishTestResults@2
     displayName: '${{ parameters.componentName }} Publish Results'
-    condition: succeededOrFailed()
     inputs:
       searchFolder: ${{ parameters.testDir }}
       testResultsFormat: ${{ parameters.testOutputFormat }}
       testResultsFiles: '**/${{ parameters.testOutputFile }}'
+    condition: succeededOrFailed()

.azuredevops/variables-global.yml

@@ -1,8 +1,6 @@
 # specify non-secret global variables reused across pipelines here
 
 variables:
-- name: RESOURCES_REPOSITORIES
-  value: $[ convertToJson(resources.repositories) ]
 - name: CI_ROOT_PATH
   value: /.azuredevops
 - name: CI_COMPONENT_PATH
@@ -34,7 +32,7 @@ variables:
 - name: LATEST_DOCKER_VERSION
   value: 6.1
 - name: KEYRING_VERSION
-  value: 6.3
+  value: 6.1
 - name: AMDMIGRAPHX_GFX942_TEST_PIPELINE_ID
   value: 197
 - name: AMDMIGRAPHX_PIPELINE_ID
@@ -219,10 +217,6 @@ variables:
   value: 134
 - name: ROCGDB_TAGGED_PIPELINE_ID
   value: 50
-- name: ROCJPEG_PIPELINE_ID
-  value: 262
-- name: ROCJPEG_TAGGED_PIPELINE_ID
-  value: 263
 - name: ROCM_BANDWIDTH_TEST_PIPELINE_ID
   value: 88
 - name: ROCM_BANDWIDTH_TEST_TAGGED_PIPELINE_ID

.wordlist.txt

@@ -13,7 +13,6 @@ AMDMIGraphX
 AMI
 AOCC
 AOMP
-AOTriton
 APBDIS
 APIC
 APIs
@@ -26,7 +25,6 @@ ASm
 ATI
 AddressSanitizer
 AlexNet
-Andrej
 Arb
 Autocast
 BARs
@@ -74,7 +72,6 @@ Conda
 ConnectX
 CuPy
 Dashboarding
-DBRX
 DDR
 DF
 DGEMM
@@ -92,8 +89,6 @@ Dask
 DataFrame
 DataLoader
 DataParallel
-Debian
-DeepSeek
 DeepSpeed
 Dependabot
 Deprecations
@@ -110,7 +105,6 @@ FFT
 FFTs
 FFmpeg
 FHS
-FIXME
 FMA
 FP
 FX
@@ -131,12 +125,10 @@ GDS
 GEMM
 GEMMs
 GFortran
-Gemma
 GiB
 GIM
 GL
 GLXT
-Gloo
 GMI
 GPG
 GPR
@@ -155,8 +147,6 @@ HGX
 HIPCC
 HIPExtension
 HIPIFY
-HIPification
-HIPify
 HPC
 HPCG
 HPE
@@ -168,8 +158,6 @@ HWS
 Haswell
 Higgs
 Hyperparameters
-Huggingface
-ICD
 ICV
 IDE
 IDEs
@@ -192,17 +180,14 @@ Interop
 Intersphinx
 Intra
 Ioffe
-JAX's
 Jinja
 JSON
 Jupyter
 KFD
 KFDTest
-KMD
+KiB
 KV
 KVM
-Karpathy's
-KiB
 Keras
 Khronos
 LAPACK
@@ -223,13 +208,11 @@ MiB
 MIGraphX
 MIOpen
 MIOpenGEMM
-MIOpen's
 MIVisionX
 MLM
 MMA
 MMIO
 MMIOH
-MMU
 MNIST
 MPI
 MSVC
@@ -253,8 +236,6 @@ MyEnvironment
 MyST
 NBIO
 NBIOs
-NCCL
-NCF
 NIC
 NICs
 NLI
@@ -296,12 +277,10 @@ OpenVX
 OpenXLA
 Oversubscription
 PagedAttention
-Pallas
 PCC
 PCI
 PCIe
 PEFT
-PEQT
 PIL
 PILImage
 POR
@@ -316,9 +295,7 @@ PipelineParallel
 PnP
 PowerEdge
 PowerShell
-Profiler's
 PyPi
-Pytest
 PyTorch
 Qcycles
 Qwen
@@ -326,17 +303,14 @@ RAII
 RAS
 RCCL
 RDC
-RDC's
 RDMA
 RDNA
 README
 RHEL
-RMW
 RNN
 RNNs
 ROC
 ROCProfiler
-ROCT
 ROCTracer
 ROCclr
 ROCdbgapi
@@ -348,7 +322,6 @@ ROCmSoftwarePlatform
 ROCmValidationSuite
 ROCprofiler
 ROCr
-RPP
 RST
 RW
 Radeon
@@ -356,7 +329,6 @@ RelWithDebInfo
 Req
 Rickle
 RoCE
-Runfile
 Ryzen
 SALU
 SBIOS
@@ -369,7 +341,6 @@ SENDMSG
 SGPR
 SGPRs
 SHA
-SHARK's
 SIGQUIT
 SIMD
 SIMDs
@@ -403,7 +374,6 @@ TCR
 TF
 TFLOPS
 TP
-TPS
 TPU
 TPUs
 TSME
@@ -414,14 +384,9 @@ TensorFlow
 TensorParallel
 ToC
 TorchAudio
-torchaudio
-TorchElastic
 TorchMIGraphX
-torchrec
 TorchScript
 TorchServe
-torchserve
-torchtext
 TorchVision
 TransferBench
 TrapStatus
@@ -485,12 +450,10 @@ api
 atmi
 atomics
 autogenerated
-autotune
 avx
 awk
 backend
 backends
-benchmarked
 benchmarking
 bfloat
 bilinear
@@ -528,9 +491,6 @@ copyable
 cpp
 csn
 cuBLAS
-cuda
-cuDNN
-cudnn
 cuFFT
 cuLIB
 cuRAND
@@ -546,8 +506,6 @@ datatypes
 dbgapi
 de
 deallocation
-debuggability
-debian
 denoise
 denoised
 denoises
@@ -562,9 +520,6 @@ devsel
 dimensionality
 disambiguates
 distro
-distros
-dkms
-dtype
 el
 embeddings
 enablement
@@ -585,7 +540,6 @@ gRPC
 galb
 gcc
 gdb
-gemm
 gfortran
 gfx
 githooks
@@ -598,10 +552,8 @@ heterogenous
 hipBLAS
 hipBLASLt
 hipBLASLt's
-hipblaslt
 hipCUB
 hipFFT
-hipFORT
 hipLIB
 hipRAND
 hipSOLVER
@@ -623,7 +575,6 @@ hpp
 hsa
 hsakmt
 hyperparameter
-hyperparameters
 iDRAC
 ib_core
 inband
@@ -644,13 +595,10 @@ ipo
 jax
 kdb
 kfd
-kv
 latencies
-len
 libfabric
 libjpeg
 libs
-linalg
 linearized
 linter
 linux
@@ -673,8 +621,6 @@ mutex
 mvffr
 namespace
 namespaces
-nanoGPT
-num
 numref
 ocl
 opencl
@@ -685,9 +631,7 @@ optimizers
 os
 oversubscription
 pageable
-pallas
 parallelization
-parallelizing
 parameterization
 passthrough
 perfcounter
@@ -700,7 +644,6 @@ prebuilt
 precompiled
 preconditioner
 preconfigured
-preemptible
 prefetch
 prefetchable
 prefill
@@ -717,13 +660,10 @@ profilers
 protobuf
 pseudorandom
 py
-recommender
-recommenders
 quantile
 quantizer
 quasirandom
 queueing
-radeon
 rccl
 rdc
 rdma
@@ -745,8 +685,6 @@ rocALUTION
 rocBLAS
 rocDecode
 rocFFT
-rocHPCG
-rocJPEG
 rocLIB
 rocMLIR
 rocPRIM
@@ -777,15 +715,11 @@ runtimes
 sL
 scalability
 scalable
-scipy
-seealso
 sendmsg
-seqs
 serializers
 shader
 sharding
 sigmoid
-single-node
 sm
 smi
 softmax
@@ -822,10 +756,8 @@ txt
 uarch
 uncached
 uncorrectable
-underoptimized
 unhandled
 uninstallation
-unmapped
 unsqueeze
 unstacking
 unswitching
@@ -845,8 +777,6 @@ vectorize
 vectorized
 vectorizer
 vectorizes
-virtualize
-virtualized
 vjxb
 voxel
 walkthrough

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2023 - 2025 Advanced Micro Devices, Inc. All rights reserved.
+Copyright (c) 2023 - 2024 Advanced Micro Devices, Inc. All rights reserved.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -50,7 +50,7 @@ The following example shows how to use the repo tool to download the ROCm source
 ```bash
 mkdir -p ~/ROCm/
 cd ~/ROCm/
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.3.x
+~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.2.x
 ~/bin/repo sync
 ```
 
@@ -76,8 +76,8 @@ The Build time will reduce significantly if we limit the GPU Architecture/s agai
 
 mkdir -p ~/WORKSPACE/      # Or any folder name other than WORKSPACE
 cd ~/WORKSPACE/
-export ROCM_VERSION=6.3.1
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.3.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
+export ROCM_VERSION=6.2.4 # Or 6.2.0, 6.2.1, 6.2.2
+~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.2.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
 ~/bin/repo sync
 
 # --------------------------------------
@@ -178,7 +178,23 @@ Source code for our documentation is located in the `/docs` folder of most ROCm
 
 The ROCm documentation homepage is [rocm.docs.amd.com](https://rocm.docs.amd.com).
 
-For information on how to contribute to the ROCm documentation, see [Contributing to the ROCm documentation](https://rocm.docs.amd.com/en/latest/contribute/contributing.html).
+### Building the documentation
+
+For a quick-start build, use the following code. For more options and detail, refer to
+[Building documentation](./docs/contribute/building.md).
+
+```bash
+cd docs
+pip3 install -r sphinx/requirements.txt
+python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
+```
+
+Alternatively, CMake build is supported.
+
+```bash
+cmake -B build
+cmake --build build --target=doc
+```
 
 ## Older ROCm releases
 

RELEASE.md

@@ -1,16 +1,4 @@
-<!-- Do not edit this file!                                 -->
-<!-- This file is autogenerated with                        -->
-<!--   tools/autotag/tag_script.py                          -->
-<!-- Disable lints since this is an auto-generated file.    -->
-<!-- markdownlint-disable blanks-around-headers             -->
-<!-- markdownlint-disable no-duplicate-header               -->
-<!-- markdownlint-disable no-blanks-blockquote              -->
-<!-- markdownlint-disable ul-indent                         -->
-<!-- markdownlint-disable no-trailing-spaces                -->
-<!-- markdownlint-disable reference-links-images            -->
-<!-- markdownlint-disable no-missing-space-atx              -->
-<!-- spellcheck-disable                                     -->
-# ROCm 6.3.1 release notes
+# ROCm 6.2.4 release notes
 
 The release notes provide a summary of notable changes since the previous ROCm release.
 
@@ -24,69 +12,60 @@ The release notes provide a summary of notable changes since the previous ROCm r
 
 - [ROCm known issues](#rocm-known-issues)
 
-- [ROCm resolved issues](#rocm-resolved-issues)
-
 - [ROCm upcoming changes](#rocm-upcoming-changes)
 
 ```{note}
 If you’re using Radeon™ PRO or Radeon GPUs in a workstation setting with a
-display connected, continue to use ROCm 6.2.3. See the [Use ROCm on Radeon GPUs](https://rocm.docs.amd.com/projects/radeon/en/latest/index.html)
+display connected, continue to use ROCm 6.2.3. See the [Use ROCm on Radeon
+GPUs](https://rocm.docs.amd.com/projects/radeon/en/latest/index.html)
 documentation to verify compatibility and system requirements.
 ```
+
 ## Release highlights
 
-The following are notable new features and improvements in ROCm 6.3.1. For changes to individual components, see
+The following are notable new features and improvements in ROCm 6.2.4. For changes to individual components, see
 [Detailed component changes](#detailed-component-changes).
 
-### Per queue resiliency for Instinct MI300 accelerators
+#### ROCm documentation updates
 
-The AMDGPU driver now includes enhanced resiliency for misbehaving applications on AMD Instinct MI300 accelerators. This helps isolate the impact of misbehaving applications, ensuring other workloads running on the same accelerator are unaffected.
+ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for
+a wider variety of user needs and use cases.
 
-### ROCm Runfile Installer
+* Added a new GPU cluster networking guide. See
+  [Cluster network performance validation for AMD Instinct accelerators](https://rocm.docs.amd.com/projects/gpu-cluster-networking/en/docs-6.2.4/index.html).
+  This documentation provides guidelines on validating network configurations
+  in single-node and multi-node environments to attain optimal speed and bandwidth
+  in AMD Instinct-powered clusters.
 
-ROCm 6.3.1 introduces the ROCm Runfile Installer, with initial support for Ubuntu 22.04. The ROCm Runfile Installer facilitates ROCm installation without using a native Linux package management system, with or without network or internet access. For more information, see the [ROCm Runfile Installer documentation](https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.3.1/install/rocm-runfile-installer.html).
+* Updated the HIP runtime documentation.
 
-### ROCm documentation updates
+  * Added a new section on how to use [HIP graphs](https://rocm.docs.amd.com/projects/HIP/en/docs-6.2.4/how-to/hipgraph.html).
 
-ROCm documentation continues to be updated to provide clearer and more comprehensive guidance for a wider variety of user needs and use cases.
+  * Added a new section about the [Stream ordered memory allocator (SOMA)](https://rocm.docs.amd.com/projects/HIP/en/docs-6.2.4/how-to/stream_ordered_allocator.html).
 
-* Added documentation on training a model with ROCm Megatron-LM. AMD offers a Docker image for MI300X accelerators
-  containing essential components to get started, including ROCm libraries, PyTorch, and Megatron-LM utilities. See
-  [Training a model using ROCm Megatron-LM](https://rocm.docs.amd.com/en/docs-6.3.1/how-to/rocm-for-ai/train-a-model.html)
-  to get started.
+  * Updated the [Porting CUDA driver API](https://rocm.docs.amd.com/projects/HIP/en/docs-6.2.4/how-to/hip_porting_driver_api.html) section.
 
-  The new ROCm Megatron-LM training Docker accompanies the [ROCm vLLM inference
-  Docker](https://rocm.docs.amd.com/en/docs-6.3.1/how-to/performance-validation/mi300x/vllm-benchmark.html)
-  as a set of ready-to-use containerized solutions to get started with using ROCm
-  for AI.
+* Updated the [Post-installation instructions](https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.2.4/install/post-install.html)
+  with guidance on using the `update-alternatives` utility and environment modules to help you manage multiple ROCm
+  versions and streamline PATH configuration.
 
-* Updated the [Instinct MI300X workload tuning
-  guide](https://rocm.docs.amd.com/en/docs-6.3.1/how-to/tuning-guides/mi300x/workload.html) with more current optimization
-  strategies. The updated sections include guidance on vLLM optimization, PyTorch TunableOp, and hipBLASLt tuning.
-
-* HIP graph-safe libraries operate safely in HIP execution graphs. [HIP graphs](https://rocm.docs.amd.com/projects/HIP/en/docs-6.3.1/how-to/hip_runtime_api/hipgraph.html#how-to-hip-graph) are an alternative way of executing tasks on a GPU that can provide performance benefits over launching kernels using the standard method via streams. A topic that shows whether a [ROCm library is graph-safe](https://rocm.docs.amd.com/en/docs-6.3.1/reference/graph-safe-support.html) has been added.
-
-* The [Device memory](https://rocm.docs.amd.com/projects/HIP/en/docs-6.3.1/how-to/hip_runtime_api/memory_management/device_memory.html) topic in the HIP memory management section has been updated.
-
-* The HIP documentation has expanded with new resources for developers:
-  * [Multi device management](https://rocm.docs.amd.com/projects/HIP/en/docs-6.3.1/how-to/hip_runtime_api/multi_device.html)
-  * [OpenGL interoperability](https://rocm.docs.amd.com/projects/HIP/en/docs-6.3.1/how-to/hip_runtime_api/opengl_interop.html)
+* Updated the [LLM inference performance validation on AMD Instinct
+  MI300X](https://rocm.docs.amd.com/en/docs-6.2.4/how-to/performance-validation/mi300x/vllm-benchmark.html)
+  documentation with more detailed guidance, new models, and the `float8` data type.
 
 ## Operating system and hardware support changes
 
-ROCm 6.3.1 adds support for Debian 12 (kernel: 6.1). Debian is supported only on AMD Instinct accelerators. See the installation instructions at [Debian native installation](https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.3.1/install/native-install/debian.html).
+ROCm 6.2.4 adds support for the [AMD Radeon PRO V710](https://www.amd.com/en/products/accelerators/radeon-pro/amd-radeon-pro-v710.html) GPU for compute workloads. See 
+[Supported GPUs](https://rocm.docs.amd.com/projects/install-on-linux/en/docs-6.2.4/reference/system-requirements.html#supported-gpus)
+for more information.
 
-ROCm 6.3.1 enables support for AMD Instinct MI325X accelerator. For more information, see [AMD Instinct™ MI325X Accelerators](https://www.amd.com/en/products/accelerators/instinct/mi300/mi325x.html).
-
-See the [Compatibility
-matrix](https://rocm.docs.amd.com/en/docs-6.3.1/compatibility/compatibility-matrix.html)
-for more information about operating system and hardware compatibility.
+This release maintains the same operating system support as 6.2.2.
 
 ## ROCm components
 
-The following table lists the versions of ROCm components for ROCm 6.3.1, including any version
-changes from 6.3.0 to 6.3.1. Click the component's updated version to go to a list of its changes.
-Click {fab}`github` to go to the component's source code on GitHub.
+The following table lists the versions of ROCm components for ROCm 6.2.4, including any version changes from 6.2.2 to 6.2.4.
+
+Click the component's updated version to go to a detailed list of its changes. Click <i class="fab fa-github fa-lg"></i> to go to the component's source code on GitHub.
 
 <div class="pst-scrollable-table-container">
     <table id="rocm-rn-components" class="table">
@@ -105,302 +84,333 @@ Click {fab}`github` to go to the component's source code on GitHub.
         </colgroup>
         <tbody class="rocm-components-libs rocm-components-ml">
             <tr>
-                <th rowspan="9">Libraries</th>
-                <th rowspan="9">Machine learning and computer vision</th>
-                <td><a href="https://rocm.docs.amd.com/projects/composable_kernel/en/docs-6.3.1/index.html">Composable Kernel</a></td>
+                <th rowspan="8">Libraries</th>
+                <th rowspan="8">Machine learning and computer vision</th>
+                <td><a href="https://rocm.docs.amd.com/projects/composable_kernel/en/docs-6.2.4">Composable Kernel</a>
+                </td>
                 <td>1.1.0</td>
-                <td><a href="https://github.com/ROCm/composable_kernel"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/composable_kernel/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/AMDMIGraphX/en/docs-6.3.1/index.html">MIGraphX</a></td>
-                <td>2.11.0</td>
-                <td><a href="https://github.com/ROCm/AMDMIGraphX"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/AMDMIGraphX/en/docs-6.2.4">MIGraphX</a></td>
+                <td>2.10</td>
+                <td><a href="https://github.com/ROCm/AMDMIGraphX/releases/"><i class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/MIOpen/en/docs-6.3.1/index.html">MIOpen</a></td>
-                <td>3.3.0</td>
-                <td><a href="https://github.com/ROCm/MIOpen"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/MIOpen/en/docs-6.2.4">MIOpen</a></td>
+                <td>3.2.0</td>
+                <td><a href="https://github.com/ROCm/MIOpen/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/MIVisionX/en/docs-6.3.1/index.html">MIVisionX</a></td>
-                <td>3.1.0&nbsp;&Rightarrow;&nbsp;<a href="#mivisionx-3-1-0">3.1.0</a></td>
-                <td><a href="https://github.com/ROCm/MIVisionX"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/MIVisionX/en/docs-6.2.4">MIVisionX</a></td>
+                <td>3.0.0</td>
+                <td><a href="https://github.com/ROCm/MIVisionX/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocAL/en/docs-6.3.1/index.html">rocAL</a></td>
-                <td>2.1.0</td>
-                <td><a href="https://github.com/ROCm/rocAL"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocAL/en/docs-6.2.4">rocAL</a></td>
+                <td>2.0.0</td>
+                <td><a href="https://github.com/ROCm/rocAL/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocDecode/en/docs-6.3.1/index.html">rocDecode</a></td>
-                <td>0.8.0</td>
-                <td><a href="https://github.com/ROCm/rocDecode"><i class="fab fa-github fa-lg"></i></a></td>
-            </tr>
-            <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocJPEG/en/docs-6.3.1/index.html">rocJPEG</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocDecode/en/docs-6.2.4">rocDecode</a></td>
                 <td>0.6.0</td>
-                <td><a href="https://github.com/ROCm/rocJPEG"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/rocDecode/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocPyDecode/en/docs-6.3.1/index.html">rocPyDecode</a></td>
-                <td>0.2.0</td>
-                <td><a href="https://github.com/ROCm/rocPyDecode"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocPyDecode/en/docs-6.2.4">rocPyDecode</a></td>
+                <td>0.1.0</td>
+                <td><a href="https://github.com/ROCm/rocPyDecode/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rpp/en/docs-6.3.1/index.html">RPP</a></td>
-                <td>1.9.1</td>
-                <td><a href="https://github.com/ROCm/rpp"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rpp/en/docs-6.2.4">RPP</a></td>
+                <td>1.8.0</td>
+                <td><a href="https://github.com/ROCm/rpp/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-libs rocm-components-communication tbody-reverse-zebra">
+        <tbody class="rocm-components-libs rocm-components-communication">
             <tr>
                 <th rowspan="1"></th>
                 <th rowspan="1">Communication</th>
-                <td><a href="https://rocm.docs.amd.com/projects/rccl/en/docs-6.3.1/index.html">RCCL</a></td>
-                <td>2.21.5&nbsp;&Rightarrow;&nbsp;<a href="#rccl-2-21-5">2.21.5</a></td>
-                <td><a href="https://github.com/ROCm/rccl"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rccl/en/docs-6.2.4">RCCL</a></td>
+                <td>2.20.5</td>
+                <td><a href="https://github.com/ROCm/rccl/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-libs rocm-components-math">
+        <tbody class="rocm-components-libs rocm-components-math tbody-reverse-zebra">
             <tr>
                 <th rowspan="16"></th>
                 <th rowspan="16">Math</th>
-                <td><a href="https://rocm.docs.amd.com/projects/hipBLAS/en/docs-6.3.1/index.html">hipBLAS</a></td>
-                <td>2.3.0</td>
-                <td><a href="https://github.com/ROCm/hipBLAS"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipBLAS/en/docs-6.2.4">hipBLAS</a></td>
+                <td>2.2.0</td>
+                <td><a href="https://github.com/ROCm/hipBLAS/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipBLASLt/en/docs-6.3.1/index.html">hipBLASLt</a></td>
-                <td>0.10.0</td>
-                <td><a href="https://github.com/ROCm/hipBLASLt"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipBLASLt/en/docs-6.2.4">hipBLASLt</a></td>
+                <td>0.8.0</td>
+                <td><a href="https://github.com/ROCm/hipBLASLt/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipFFT/en/docs-6.3.1/index.html">hipFFT</a></td>
-                <td>1.0.17</td>
-                <td><a href="https://github.com/ROCm/hipFFT"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipFFT/en/docs-6.2.4">hipFFT</a></td>
+                <td>1.0.15&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/hipFFT/blob/docs/6.2.4/CHANGELOG.md">1.0.16</a></td>
+                <td><a href="https://github.com/ROCm/hipFFT/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipfort/en/docs-6.3.1/index.html">hipfort</a></td>
-                <td>0.5.0</td>
-                <td><a href="https://github.com/ROCm/hipfort"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipfort/en/docs-6.2.4">hipfort</a></td>
+                <td>0.4.0</td>
+                <td><a href="https://github.com/ROCm/hipfort/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipRAND/en/docs-6.3.1/index.html">hipRAND</a></td>
-                <td>2.11.1</td>
-                <td><a href="https://github.com/ROCm/hipRAND"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipRAND/en/docs-6.2.4">hipRAND</a></td>
+                <td>2.11.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/hipRAND/blob/docs/6.2.4/CHANGELOG.md">2.11.1</a></td>
+                <td><a href="https://github.com/ROCm/hipRAND/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipSOLVER/en/docs-6.3.1/index.html">hipSOLVER</a></td>
-                <td>2.3.0</td>
-                <td><a href="https://github.com/ROCm/hipSOLVER"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipSOLVER/en/docs-6.2.4">hipSOLVER</a></td>
+                <td>2.2.0</td>
+                <td><a href="https://github.com/ROCm/hipSOLVER/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipSPARSE/en/docs-6.3.1/index.html">hipSPARSE</a></td>
-                <td>3.1.2</td>
-                <td><a href="https://github.com/ROCm/hipSPARSE"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipSPARSE/en/docs-6.2.4">hipSPARSE</a></td>
+                <td>3.1.1</td>
+                <td><a href="https://github.com/ROCm/hipSPARSE/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipSPARSELt/en/docs-6.3.1/index.html">hipSPARSELt</a></td>
-                <td>0.2.2</td>
-                <td><a href="https://github.com/ROCm/hipSPARSELt"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipSPARSELt/en/docs-6.2.4">hipSPARSELt</a></td>
+                <td>0.2.1</td>
+                <td><a href="https://github.com/ROCm/hipSPARSELt/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocALUTION/en/docs-6.3.1/index.html">rocALUTION</a></td>
-                <td>3.2.1</td>
-                <td><a href="https://github.com/ROCm/rocALUTION"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocALUTION/en/docs-6.2.4">rocALUTION</a></td>
+                <td>3.2.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocALUTION/blob/docs/6.2.4/CHANGELOG.md">3.2.1</a></td>
+                <td><a href="https://github.com/ROCm/rocALUTION/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocBLAS/en/docs-6.3.1/index.html">rocBLAS</a></td>
-                <td>4.3.0</td>
-                <td><a href="https://github.com/ROCm/rocBLAS"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocBLAS/en/docs-6.2.4">rocBLAS</a></td>
+                <td>4.2.1&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocBLAS/blob/docs/6.2.4/CHANGELOG.md">4.2.4</a></td>
+                <td><a href="https://github.com/ROCm/rocBLAS/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocFFT/en/docs-6.3.1/index.html">rocFFT</a></td>
-                <td>1.0.31</td>
-                <td><a href="https://github.com/ROCm/rocFFT"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocFFT/en/docs-6.2.4">rocFFT</a></td>
+                <td>1.0.29&nbsp;&Rightarrow;&nbsp;<a href="#rocfft-1-0-30">1.0.30</a></td>
+                <td><a href="https://github.com/ROCm/rocFFT/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocRAND/en/docs-6.3.1/index.html">rocRAND</a></td>
-                <td>3.2.0</td>
-                <td><a href="https://github.com/ROCm/rocRAND"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocRAND/en/docs-6.2.4">rocRAND</a></td>
+                <td>3.1.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocRAND/blob/docs/6.2.4/CHANGELOG.md">3.1.1</a></td>
+                <td><a href="https://github.com/ROCm/rocRAND/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocSOLVER/en/docs-6.3.1/index.html">rocSOLVER</a></td>
-                <td>3.27.0</td>
-                <td><a href="https://github.com/ROCm/rocSOLVER"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocSOLVER/en/docs-6.2.4">rocSOLVER</a></td>
+                <td>3.26.0&nbsp;&Rightarrow;&nbsp;<a href="#rocsolver-3-26-2">3.26.2</a></td>
+                <td><a href="https://github.com/ROCm/rocSOLVER/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocSPARSE/en/docs-6.3.1/index.html">rocSPARSE</a></td>
-                <td>3.3.0</td>
-                <td><a href="https://github.com/ROCm/rocSPARSE"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocSPARSE/en/docs-6.2.4">rocSPARSE</a></td>
+                <td>3.2.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocSPARSE/blob/docs/6.2.4/CHANGELOG.md">3.2.1</a></td>
+                <td><a href="https://github.com/ROCm/rocSPARSE/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocWMMA/en/docs-6.3.1/index.html">rocWMMA</a></td>
-                <td>1.6.0</td>
-                <td><a href="https://github.com/ROCm/rocWMMA"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocWMMA/en/docs-6.2.4">rocWMMA</a></td>
+                <td>1.5.0</td>
+                <td><a href="https://github.com/ROCm/rocWMMA/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/Tensile/en/docs-6.3.1/src/index.html">Tensile</a></td>
-                <td>4.42.0</td>
-                <td><a href="https://github.com/ROCm/Tensile"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/Tensile">Tensile</a></td>
+                <td>4.41.0</td>
+                <td><a href="https://github.com/ROCm/tensile/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-libs rocm-components-primitives">
+        <tbody class="rocm-components-libs rocm-components-primitives tbody-reverse-zebra">
             <tr>
                 <th rowspan="4"></th>
                 <th rowspan="4">Primitives</th>
-                <td><a href="https://rocm.docs.amd.com/projects/hipCUB/en/docs-6.3.1/index.html">hipCUB</a></td>
-                <td>3.3.0</td>
-                <td><a href="https://github.com/ROCm/hipCUB"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipCUB/en/docs-6.2.4">hipCUB</a></td>
+                <td>3.2.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/hipCUB/blob/docs/6.2.4/CHANGELOG.md">3.2.1</a></td>
+                <td><a href="https://github.com/ROCm/hipCUB/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/hipTensor/en/docs-6.3.1/index.html">hipTensor</a></td>
-                <td>1.4.0</td>
-                <td><a href="https://github.com/ROCm/hipTensor"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/hipTensor/en/docs-6.2.4">hipTensor</a></td>
+                <td>1.3.0</td>
+                <td><a href="https://github.com/ROCm/hipTensor/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocPRIM/en/docs-6.3.1/index.html">rocPRIM</a></td>
-                <td>3.3.0</td>
-                <td><a href="https://github.com/ROCm/rocPRIM"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocPRIM/en/docs-6.2.4">rocPRIM</a></td>
+                <td>3.2.1&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocPRIM/blob/docs/6.2.4/CHANGELOG.md">3.2.2</a></td>
+                <td><a href="https://github.com/ROCm/rocPRIM/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocThrust/en/docs-6.3.1/index.html">rocThrust</a></td>
-                <td>3.3.0</td>
-                <td><a href="https://github.com/ROCm/rocThrust"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocThrust/en/docs-6.2.4">rocThrust</a></td>
+                <td>3.1.0&nbsp;&Rightarrow;&nbsp;<a href="https://github.com/ROCm/rocThrust/blob/docs/6.2.4/CHANGELOG.md">3.1.1</a></td>
+                <td><a href="https://github.com/ROCm/rocThrust/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-tools rocm-components-system">
+        <tbody class="rocm-components-tools rocm-components-system tbody-reverse-zebra">
             <tr>
-                <th rowspan="7">Tools</th>
-                <th rowspan="7">System management</th>
-                <td><a href="https://rocm.docs.amd.com/projects/amdsmi/en/docs-6.3.1/index.html">AMD SMI</a></td>
-                <td>24.7.1&nbsp;&Rightarrow;&nbsp;<a href="#amd-smi-24-7-1">24.7.1</a></td>
-                <td><a href="https://github.com/ROCm/amdsmi"><i class="fab fa-github fa-lg"></i></a></td>
+                <th rowspan="6">Tools</th>
+                <th rowspan="6">System management</th>
+                <td><a href="https://rocm.docs.amd.com/projects/amdsmi/en/docs-6.2.4">AMD SMI</a></td>
+                <td>24.6.3&nbsp;&Rightarrow;&nbsp;<a href="#amd-smi-24-6-3">24.6.3</a></td>
+                <td><a href="https://github.com/ROCm/amdsmi/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rdc/en/docs-6.3.1/index.html">ROCm Data Center Tool</a></td>
-                <td>0.3.0</td>
-                <td><a href="https://github.com/ROCm/rdc"><i class="fab fa-github fa-lg"></i></a></td>
-            </tr>
-            <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocminfo/en/docs-6.3.1/index.html">rocminfo</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocminfo/en/docs-6.2.4">rocminfo</a></td>
                 <td>1.0.0</td>
-                <td><a href="https://github.com/ROCm/rocminfo"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/rocminfo/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocm_smi_lib/en/docs-6.3.1/index.html">ROCm SMI</a></td>
-                <td>7.4.0</td>
-                <td><a href="https://github.com/ROCm/rocm_smi_lib"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rdc/en/docs-6.2.4">ROCm Data Center Tool</a></td>
+                <td>0.3.0</td>
+                <td><a href="https://github.com/ROCm/rdc/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/ROCmValidationSuite/en/docs-6.3.1/index.html">ROCmValidationSuite</a></td>
-                <td>1.1.0</td>
-                <td><a href="https://github.com/ROCm/ROCmValidationSuite"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocm_smi_lib/en/docs-6.2.4">ROCm SMI</a></td>
+                <td>7.3.0</td>
+                <td><a href="https://github.com/ROCm/rocm_smi_lib/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
+            </tr>
+            <tr>
+                <td><a href="https://rocm.docs.amd.com/projects/ROCmValidationSuite/en/docs-6.2.4">ROCm Validation Suite</a></td>
+                <td>1.0.0</td>
+                <td><a href="https://github.com/ROCm/ROCmValidationSuite/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-tools rocm-components-perf tbody-reverse-zebra">
+        <tbody class="rocm-components-tools rocm-components-perf">
             <tr>
                 <th rowspan="6"></th>
                 <th rowspan="6">Performance</th>
-                <td><a href="https://rocm.docs.amd.com/projects/rocm_bandwidth_test/en/docs-6.3.1/index.html">ROCm Bandwidth
+                <td><a href="https://rocm.docs.amd.com/projects/omniperf/en/docs-6.2.4">Omniperf</a></td>
+                <td>2.0.1</td>
+                <td><a href="https://github.com/ROCm/omniperf/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
+            </tr>
+            <tr>
+                <td><a href="https://rocm.docs.amd.com/projects/omnitrace/en/docs-6.2.4">Omnitrace</a></td>
+                <td>1.11.2</td>
+                <td><a href="https://github.com/ROCm/omnitrace/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
+            </tr>
+            <tr>
+                <td><a href="https://rocm.docs.amd.com/projects/rocm_bandwidth_test/en/docs-6.2.4">ROCm Bandwidth
                         Test</a></td>
                 <td>1.4.0</td>
-                <td><a href="https://github.com/ROCm/rocm_bandwidth_test/"><i
+                <td><a href="https://github.com/ROCm/rocm_bandwidth_test/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler-compute/en/docs-6.3.1/index.html">ROCm Compute Profiler</a></td>
-                <td>3.0.0&nbsp;&Rightarrow;&nbsp<a href="#rocm-compute-profiler-3-0-0">3.0.0</a></td>
-                <td><a href="https://github.com/ROCm/rocprofiler-compute"><i
-                            class="fab fa-github fa-lg"></i></a></td>
-            </tr>
-            <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler-systems/en/docs-6.3.1/index.html">ROCm Systems Profiler</a></td>
-                <td>0.1.0&nbsp;&Rightarrow;&nbsp<a href="#rocm-systems-profiler-0-1-0">0.1.0</a></td>
-                <td><a href="https://github.com/ROCm/rocprofiler-systems"><i
-                            class="fab fa-github fa-lg"></i></a></td>
-            </tr>
-            <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler/en/docs-6.3.1/index.html">ROCProfiler</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler/en/docs-6.2.4/">ROCProfiler</a></td>
                 <td>2.0.0</td>
-                <td><a href="https://github.com/ROCm/ROCProfiler/"><i
+                <td><a href="https://github.com/ROCm/ROCProfiler/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler-sdk/en/docs-6.3.1/index.html">ROCprofiler-SDK</a></td>
-                 <td>0.5.0&nbsp;&Rightarrow;&nbsp;<a href="#rocprofiler-sdk-0-5-0">0.5.0</a></td>
-                <td><a href="https://github.com/ROCm/rocprofiler-sdk/"><i
+                <td><a href="https://rocm.docs.amd.com/projects/rocprofiler-sdk/en/docs-6.2.4">ROCprofiler-SDK</a></td>
+                <td>0.4.0</td>
+                <td><a href="https://github.com/ROCm/rocprofiler-sdk/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr >
-                <td><a href="https://rocm.docs.amd.com/projects/roctracer/en/docs-6.3.1/index.html">ROCTracer</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/roctracer/en/docs-6.2.4/">ROCTracer</a></td>
                 <td>4.1.0</td>
-                <td><a href="https://github.com/ROCm/ROCTracer/"><i
+                <td><a href="https://github.com/ROCm/ROCTracer/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-tools rocm-components-dev tbody-reverse-zebra">
+        <tbody class="rocm-components-tools rocm-components-dev">
             <tr>
                 <th rowspan="5"></th>
                 <th rowspan="5">Development</th>
-                <td><a href="https://rocm.docs.amd.com/projects/HIPIFY/en/docs-6.3.1/index.html">HIPIFY</a></td>
-                <td>18.0.0&nbsp;&Rightarrow;&nbsp;<a href="#hipify-18-0-0">18.0.0</a></td>
-                <td><a href="https://github.com/ROCm/HIPIFY/"><i
+                <td><a href="https://rocm.docs.amd.com/projects/HIPIFY/en/docs-6.2.4/">HIPIFY</a></td>
+                <td>18.0.0</td>
+                <td><a href="https://github.com/ROCm/HIPIFY/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/ROCdbgapi/en/docs-6.3.1/index.html">ROCdbgapi</a></td>
-                <td>0.77.0</td>
-                <td><a href="https://github.com/ROCm/ROCdbgapi/"><i
+                <td><a href="https://rocm.docs.amd.com/projects/ROCdbgapi/en/docs-6.2.4">ROCdbgapi</a></td>
+                <td>0.76.0</td>
+                <td><a href="https://github.com/ROCm/ROCdbgapi/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/ROCmCMakeBuildTools/en/docs-6.3.1/index.html">ROCm CMake</a></td>
-                <td>0.14.0</td>
-                <td><a href="https://github.com/ROCm/rocm-cmake/"><i
+                <td><a href="https://rocm.docs.amd.com/projects/ROCmCMakeBuildTools/en/docs-6.2.4/">ROCm CMake</a></td>
+                <td>0.13.0</td>
+                <td><a href="https://github.com/ROCm/rocm-cmake/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/ROCgdb/en/docs-6.3.1/index.html">ROCm Debugger (ROCgdb)</a>
+                <td><a href="https://rocm.docs.amd.com/projects/ROCgdb/en/docs-6.2.4">ROCm Debugger (ROCgdb)</a>
                 </td>
-                <td>15.2</td>
-                <td><a href="https://github.com/ROCm/ROCgdb/"><i
+                <td>14.2</td>
+                <td><a href="https://github.com/ROCm/ROCgdb/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/rocr_debug_agent/en/docs-6.3.1/index.html">ROCr Debug Agent</a>
+                <td><a href="https://rocm.docs.amd.com/projects/rocr_debug_agent/en/docs-6.2.4">ROCr Debug Agent</a>
                 </td>
                 <td>2.0.3</td>
-                <td><a href="https://github.com/ROCm/rocr_debug_agent/"><i
+                <td><a href="https://github.com/ROCm/rocr_debug_agent/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-compilers">
+        <tbody class="rocm-components-compilers tbody-reverse-zebra">
             <tr>
                 <th rowspan="2" colspan="2">Compilers</th>
-                <td><a href="https://rocm.docs.amd.com/projects/HIPCC/en/docs-6.3.1/index.html">HIPCC</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/HIPCC/en/docs-6.2.4">HIPCC</a></td>
                 <td>1.1.1</td>
-                <td><a href="https://github.com/ROCm/llvm-project/"><i
+                <td><a href="https://github.com/ROCm/llvm-project/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/llvm-project/en/docs-6.3.1/index.html">llvm-project</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/llvm-project/en/docs-6.2.4">llvm-project</a></td>
                 <td>18.0.0</td>
-                <td><a href="https://github.com/ROCm/llvm-project/"><i
+                <td><a href="https://github.com/ROCm/llvm-project/releases/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
-        <tbody class="rocm-components-runtimes">
+        <tbody class="rocm-components-runtimes tbody-reverse-zebra">
             <tr>
                 <th rowspan="2" colspan="2">Runtimes</th>
-                <td><a href="https://rocm.docs.amd.com/projects/HIP/en/docs-6.3.1/index.html">HIP</a></td>
-                <td>6.3.0&nbsp;&Rightarrow;&nbsp;<a href="#hip-6-3-1">6.3.1</a></td>
-                <td><a href="https://github.com/ROCm/HIP/"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/HIP/en/docs-6.2.4">HIP</a></td>
+                <td>6.2.4</a></td>
+                <td><a href="https://github.com/ROCm/HIP/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
-                <td><a href="https://rocm.docs.amd.com/projects/ROCR-Runtime/en/docs-6.3.1/index.html">ROCr Runtime</a></td>
+                <td><a href="https://rocm.docs.amd.com/projects/ROCR-Runtime/en/docs-6.2.4">ROCr Runtime</a></td>
                 <td>1.14.0</td>
-                <td><a href="https://github.com/ROCm/ROCR-Runtime/"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/ROCR-Runtime/releases/"><i
+                            class="fab fa-github fa-lg"></i></a></td>
             </tr>
         </tbody>
     </table>
@@ -410,152 +420,45 @@ Click {fab}`github` to go to the component's source code on GitHub.
 
 The following sections describe key changes to ROCm components.
 
-### **AMD SMI** (24.7.1)
-
-#### Changed
-
-* `amd-smi monitor` displays `VCLOCK` and `DCLOCK` instead of `ENC_CLOCK` and `DEC_CLOCK`.
+### **AMD SMI** (24.6.3)
 
 #### Resolved issues
 
-* Fixed `amd-smi monitor`'s reporting of encode and decode information. `VCLOCK` and `DCLOCK` are
-  now associated with both `ENC_UTIL` and `DEC_UTIL`.
+* Fixed support for the API calls `amdsmi_get_gpu_process_isolation` and
+  `amdsmi_clean_gpu_local_data`, along with the `amd-smi set
+  --process-isolation <0 or 1>` command. See issue
+  [#3500](https://github.com/ROCm/ROCm/issues/3500) on GitHub.
 
-```{note}
-See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/6.3.x/CHANGELOG.md) for more details and examples.
-```
-
-### **HIP** (6.3.1)
-
-#### Added
-
-* An activeQueues set that tracks only the queues that have a command submitted to them, which allows fast iteration in `waitActiveStreams`.
+### **rocFFT** (1.0.30)
 
 #### Optimized
 
-* Mechanism of preventing `hipLaunchKernel` latency degradation with number of idle streams is implemented for performance improvement.
-
-### **HIPIFY** (18.0.0)
-
-#### Added
-
-* Support for: 
-  * NVIDIA CUDA 12.6.2
-  * cuDNN 9.5.1
-  * LLVM 19.1.3
-  * Full `hipBLAS` 64-bit APIs
-  * Full `rocBLAS` 64-bit APIs
+* Implemented 1D kernels for factorizable sizes greater than 1024 and less than 2048.
 
 #### Resolved issues
 
-* Added missing support for device intrinsics and built-ins: `__all_sync`, `__any_sync`, `__ballot_sync`, `__activemask`, `__match_any_sync`, `__match_all_sync`, `__shfl_sync`, `__shfl_up_sync`, `__shfl_down_sync`, and `__shfl_xor_sync`.
+* Fixed plan creation failure on some even-length real-complex transforms that use Bluestein's algorithm.
 
-### **MIVisionX** (3.1.0)
-
-#### Changed
-
-* AMD Clang is now the default CXX and C compiler.
-* The dependency on rocDecode has been removed and automatic rocDecode installation is now disabled in the setup script.
+### **rocSOLVER** (3.26.2)
 
 #### Resolved issues
 
-* Canny failure on Instinct MI300 has been fixed.
-* Ubuntu 24.04 CTest failures have been fixed.
-
-#### Known issues
-
-* CentOS, Red Hat, and SLES requires the manual installation of `OpenCV` and `FFMPEG`. 
-* Hardware decode requires that ROCm is installed with `--usecase=graphics`.
-
-#### Upcoming changes
-
-* Optimized audio augmentations support for VX_RPP.
-
-### **RCCL** (2.21.5)
-
-#### Changed
-
-* Enhanced the user documentation.
-
-#### Resolved Issues
-
-* Corrected some user help strings in `install.sh`.
-
-### **ROCm Compute Profiler** (3.0.0)
-
-#### Resolved issues
-
-* Fixed a minor issue for users upgrading to ROCm 6.3 from 6.2 post-rename from `omniperf`.
-  See [ROCm Compute Profiler and ROCm Systems Profiler post-upgrade issues](#rocm-compute-profiler-and-rocm-systems-profiler-post-upgrade-issues).
-
-### **ROCm Systems Profiler** (0.1.0)
-
-#### Added
-
-* Improvements to support OMPT target offload.
-
-#### Resolved issues
-
-* Fixed an issue with generated Perfetto files. See [issue #3767](https://github.com/ROCm/ROCm/issues/3767) for more information.
-
-* Fixed an issue with merging multiple `.proto` files.
-
-* Fixed an issue causing GPU resource data to be missing from traces of Instinct MI300A systems.
-
-* Fixed a minor issue for users upgrading to ROCm 6.3 from 6.2 post-rename from `omnitrace`.
-  See [ROCm Compute Profiler and ROCm Systems Profiler post-upgrade issues](#rocm-compute-profiler-and-rocm-systems-profiler-post-upgrade-issues).
-
-### **ROCprofiler-SDK** (0.5.0)
-
-#### Added
-
-* SIMD_UTILIZATION metric.
-* New <a href="https://rocm.docs.amd.com/projects/rdc/en/docs-6.3.1/index.html">ROCm Data Center (RDC)</a> ops metrics.
+* Fixed synchronization issue in STEIN.
 
 ## ROCm known issues
 
-ROCm known issues are noted on {fab}`github` [GitHub](https://github.com/ROCm/ROCm/labels/Verified%20Issue). For known
-issues related to individual components, review the [Detailed component changes](#detailed-component-changes).
-
-### PCI Express Qualification Tool failure on Debian 12
-
-The PCI Express Qualification Tool (PEQT) module present in the ROCm Validation Suite (RVS) might fail due to the segmentation issue in Debian 12 (bookworm). This will result in failure to determine the characteristics of the PCIe interconnect between the host platform and the GPU like support for Gen 3 atomic completers, DMA transfer statistics, link speed, and link width. The standard PCIe command `lspci` can be used as an alternative to view the characteristics of the PCIe bus interconnect with the GPU. This issue is under investigation and will be addressed in a future release. See [GitHub issue #4175](https://github.com/ROCm/ROCm/issues/4175).
-
-## ROCm resolved issues
-
-The following are previously known issues resolved in this release. For resolved issues related to
-individual components, review the [Detailed component changes](#detailed-component-changes).
-
-### Instinct MI300 series: backward weights convolution performance issue
-
-Fixed a performance issue affecting certain tensor shapes during backward weights convolution when using FP16 or FP32 data types on Instinct MI300 series accelerators. See [GitHub issue #4080](https://github.com/ROCm/ROCm/issues/4080).
-
-### ROCm Compute Profiler and ROCm Systems Profiler post-upgrade issues
-
-Packaging metadata for ROCm Compute Profiler (`rocprofiler-compute`) and ROCm Systems Profiler
-(`rocprofiler-systems`) has been updated to handle the renaming from Omniperf and Omnitrace,
-respectively. This fixes minor issues when upgrading from ROCm 6.2 to 6.3. For more information, see the GitHub issues
-[#4082](https://github.com/ROCm/ROCm/issues/4082) and
-[#4083](https://github.com/ROCm/ROCm/issues/4083).
-
-### Stale file due to OpenCL ICD loader deprecation
-
-When upgrading from ROCm 6.2.x to ROCm 6.3.0, the issue of removal of the `rocm-icd-loader` package
-leaving a stale file in the old `rocm-6.2.x` directory has been resolved. The stale files left during
-the upgrade from ROCm 6.2.x to ROCm 6.3.0 will be removed when upgrading to ROCm 6.3.1. For more
-information, see [GitHub issue #4084](https://github.com/ROCm/ROCm/issues/4084).
+ROCm known issues are tracked on [GitHub](https://github.com/ROCm/ROCm/labels/Verified%20Issue).
+Known issues related to individual components are listed in the [Detailed component changes](#detailed-component-changes)
+section.
 
 ## ROCm upcoming changes
 
 The following changes to the ROCm software stack are anticipated for future releases.
 
-### AMDGPU wavefront size compiler macro deprecation
+### rocm-llvm-alt
 
-The `__AMDGCN_WAVEFRONT_SIZE__` macro will be deprecated in an upcoming
-release. It is recommended to remove any use of this macro. For more information, see [AMDGPU
-support](https://rocm.docs.amd.com/projects/llvm-project/en/docs-6.3.1/LLVM/clang/html/AMDGPUSupport.html).
+The `rocm-llvm-alt` package will be removed in an upcoming release. Users relying on the functionality provided by the closed-source compiler should transition to the open-source compiler. Once the `rocm-llvm-alt` package is removed, any compilation requesting functionality provided by the closed-source compiler will result in a Clang warning: "*[AMD] proprietary optimization compiler has been removed*".
 
-### HIPCC Perl scripts deprecation
-
-The HIPCC Perl scripts (`hipcc.pl` and `hipconfig.pl`) will be removed in an upcoming release.
+### rccl-rdma-sharp-plugins
 
+The RCCL plugin package, `rccl-rdma-sharp-plugins`, will be removed in an upcoming ROCm release. 

default.xml

@@ -1,14 +1,17 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <manifest>
     <remote name="rocm-org" fetch="https://github.com/ROCm/" />
-    <default revision="refs/tags/rocm-6.3.1"
+    <default revision="refs/tags/rocm-6.2.4"
      remote="rocm-org"
      sync-c="true"
      sync-j="4" />
 <!--list of projects for ROCm-->
     <project name="ROCK-Kernel-Driver" />
     <project name="ROCR-Runtime" />
+    <project name="ROCT-Thunk-Interface" />
     <project name="amdsmi" />
+    <project name="omniperf" />
+    <project name="omnitrace" />
     <project name="rdc" />
     <project name="rocm_bandwidth_test" />
     <project name="rocm_smi_lib" />
@@ -18,8 +21,6 @@
     <project name="rocprofiler" />
     <project name="rocprofiler-register" />
     <project name="rocprofiler-sdk" />
-    <project name="rocprofiler-compute" />
-    <project name="rocprofiler-systems" />
     <project name="roctracer" />
 <!--HIP Projects-->
     <project name="HIP" />
@@ -41,7 +42,6 @@
     <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" />
@@ -57,7 +57,6 @@
     <project groups="mathlibs" name="rocALUTION" />
     <project groups="mathlibs" name="rocBLAS" />
     <project groups="mathlibs" name="rocDecode" />
-    <project groups="mathlibs" name="rocJPEG" />
     <project groups="mathlibs" name="rocPyDecode" />
     <project groups="mathlibs" name="rocFFT" />
     <project groups="mathlibs" name="rocPRIM" />
@@ -68,7 +67,6 @@
     <project groups="mathlibs" name="rocWMMA" />
     <project groups="mathlibs" name="rocm-cmake" />
     <project groups="mathlibs" name="rpp" />
-    <project groups="mathlibs" name="TransferBench" />
 <!-- Projects for OpenMP-Extras -->
     <project name="aomp" path="openmp-extras/aomp" />
     <project name="aomp-extras" path="openmp-extras/aomp-extras" />

docs/about/license.md

@@ -25,15 +25,15 @@ additional licenses. Please review individual repositories for more information.
 <!-- spellcheck-disable -->
 | Component | License |
 |:---------------------|:-------------------------|
-| [AMD Compute Language Runtime (CLR)](https://github.com/ROCm/clr) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/LICENCE) |
-| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/amd-staging/LICENSE) |
+| [AMD Common Language Runtime (CLR)](https://github.com/ROCm/clr) | [MIT](https://github.com/ROCm/clr/blob/develop/LICENCE) |
+| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/develop/LICENSE) |
 | [aomp](https://github.com/ROCm/aomp/) | [Apache 2.0](https://github.com/ROCm/aomp/blob/aomp-dev/LICENSE) |
 | [aomp-extras](https://github.com/ROCm/aomp-extras/) | [MIT](https://github.com/ROCm/aomp-extras/blob/aomp-dev/LICENSE) |
 | [Code Object Manager (Comgr)](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/comgr) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/comgr/LICENSE.txt) |
 | [Composable Kernel](https://github.com/ROCm/composable_kernel) | [MIT](https://github.com/ROCm/composable_kernel/blob/develop/LICENSE) |
 | [half](https://github.com/ROCm/half/) | [MIT](https://github.com/ROCm/half/blob/rocm/LICENSE.txt) |
-| [HIP](https://github.com/ROCm/HIP/) | [MIT](https://github.com/ROCm/HIP/blob/amd-staging/LICENSE.txt) |
-| [hipamd](https://github.com/ROCm/clr/tree/amd-staging/hipamd) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/hipamd/LICENSE.txt) |
+| [HIP](https://github.com/ROCm/HIP/) | [MIT](https://github.com/ROCm/HIP/blob/develop/LICENSE.txt) |
+| [hipamd](https://github.com/ROCm/clr/tree/develop/hipamd) | [MIT](https://github.com/ROCm/clr/blob/develop/hipamd/LICENSE.txt) |
 | [hipBLAS](https://github.com/ROCm/hipBLAS/) | [MIT](https://github.com/ROCm/hipBLAS/blob/develop/LICENSE.md) |
 | [hipBLASLt](https://github.com/ROCm/hipBLASLt/) | [MIT](https://github.com/ROCm/hipBLASLt/blob/develop/LICENSE.md) |
 | [HIPCC](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/hipcc) | [MIT](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/hipcc/LICENSE.txt) |
@@ -52,39 +52,39 @@ additional licenses. Please review individual repositories for more information.
 | [MIGraphX](https://github.com/ROCm/AMDMIGraphX/) | [MIT](https://github.com/ROCm/AMDMIGraphX/blob/develop/LICENSE) |
 | [MIOpen](https://github.com/ROCm/MIOpen/) | [MIT](https://github.com/ROCm/MIOpen/blob/develop/LICENSE.txt) |
 | [MIVisionX](https://github.com/ROCm/MIVisionX/) | [MIT](https://github.com/ROCm/MIVisionX/blob/develop/LICENSE.txt) |
+| [Omniperf](https://github.com/ROCm/omniperf) | [MIT](https://github.com/ROCm/omniperf/blob/main/LICENSE) |
+| [Omnitrace](https://github.com/ROCm/omnitrace) | [MIT](https://github.com/ROCm/omnitrace/blob/main/LICENSE) |
 | [rocAL](https://github.com/ROCm/rocAL) | [MIT](https://github.com/ROCm/rocAL/blob/develop/LICENSE.txt) |
 | [rocALUTION](https://github.com/ROCm/rocALUTION/) | [MIT](https://github.com/ROCm/rocALUTION/blob/develop/LICENSE.md) |
 | [rocBLAS](https://github.com/ROCm/rocBLAS/) | [MIT](https://github.com/ROCm/rocBLAS/blob/develop/LICENSE.md) |
 | [ROCdbgapi](https://github.com/ROCm/ROCdbgapi/) | [MIT](https://github.com/ROCm/ROCdbgapi/blob/amd-staging/LICENSE.txt) |
 | [rocDecode](https://github.com/ROCm/rocDecode) | [MIT](https://github.com/ROCm/rocDecode/blob/develop/LICENSE) |
 | [rocFFT](https://github.com/ROCm/rocFFT/) | [MIT](https://github.com/ROCm/rocFFT/blob/develop/LICENSE.md) |
-| [ROCgdb](https://github.com/ROCm/ROCgdb/) | [GNU General Public License v3.0](https://github.com/ROCm/ROCgdb/blob/amd-staging/COPYING3) |
-| [rocJPEG](https://github.com/ROCm/rocJPEG/) | [MIT](https://github.com/ROCm/rocJPEG/blob/develop/LICENSE) |
+| [ROCgdb](https://github.com/ROCm/ROCgdb/) | [GNU General Public License v2.0](https://github.com/ROCm/ROCgdb/blob/amd-master/COPYING) |
 | [ROCK-Kernel-Driver](https://github.com/ROCm/ROCK-Kernel-Driver/) | [GPL 2.0 WITH Linux-syscall-note](https://github.com/ROCm/ROCK-Kernel-Driver/blob/master/COPYING) |
 | [rocminfo](https://github.com/ROCm/rocminfo/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocminfo/blob/amd-staging/License.txt) |
-| [ROCm Bandwidth Test](https://github.com/ROCm/rocm_bandwidth_test/) | [MIT](https://github.com/ROCm/rocm_bandwidth_test/blob/master/LICENSE.txt) |
+| [ROCm Bandwidth Test](https://github.com/ROCm/rocm_bandwidth_test/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocm_bandwidth_test/blob/master/LICENSE.txt) |
 | [ROCm CMake](https://github.com/ROCm/rocm-cmake/) | [MIT](https://github.com/ROCm/rocm-cmake/blob/develop/LICENSE) |
 | [ROCm Communication Collectives Library (RCCL)](https://github.com/ROCm/rccl/) | [Custom](https://github.com/ROCm/rccl/blob/develop/LICENSE.txt) |
 | [ROCm-Core](https://github.com/ROCm/rocm-core) | [MIT](https://github.com/ROCm/rocm-core/blob/master/copyright) |
-| [ROCm Compute Profiler](https://github.com/ROCm/rocprofiler-compute) | [MIT](https://github.com/ROCm/rocprofiler-compute/blob/amd-staging/LICENSE) |
-| [ROCm Data Center (RDC)](https://github.com/ROCm/rdc/) | [MIT](https://github.com/ROCm/rdc/blob/amd-staging/LICENSE) |
+| [ROCm Data Center (RDC)](https://github.com/ROCm/rdc/) | [MIT](https://github.com/ROCm/rdc/blob/develop/LICENSE) |
 | [ROCm-Device-Libs](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/device-libs) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/device-libs/LICENSE.TXT) |
-| [ROCm-OpenCL-Runtime](https://github.com/ROCm/clr/tree/amd-staging/opencl) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/opencl/LICENSE.txt) |
+| [ROCm-OpenCL-Runtime](https://github.com/ROCm/clr/tree/develop/opencl) | [MIT](https://github.com/ROCm/clr/blob/develop/opencl/LICENSE.txt) |
 | [ROCm Performance Primitives (RPP)](https://github.com/ROCm/rpp) | [MIT](https://github.com/ROCm/rpp/blob/develop/LICENSE) |
-| [ROCm SMI Lib](https://github.com/ROCm/rocm_smi_lib/) | [MIT](https://github.com/ROCm/rocm_smi_lib/blob/amd-staging/License.txt) |
-| [ROCm Systems Profiler](https://github.com/ROCm/rocprofiler-systems) | [MIT](https://github.com/ROCm/rocprofiler-systems/blob/amd-staging/LICENSE) |
+| [ROCm SMI Lib](https://github.com/ROCm/rocm_smi_lib/) | [MIT](https://github.com/ROCm/rocm_smi_lib/blob/develop/License.txt) |
 | [ROCm Validation Suite](https://github.com/ROCm/ROCmValidationSuite/) | [MIT](https://github.com/ROCm/ROCmValidationSuite/blob/master/LICENSE) |
 | [rocPRIM](https://github.com/ROCm/rocPRIM/) | [MIT](https://github.com/ROCm/rocPRIM/blob/develop/LICENSE.txt) |
-| [ROCProfiler](https://github.com/ROCm/rocprofiler/) | [MIT](https://github.com/ROCm/rocprofiler/blob/amd-staging/LICENSE) |
+| [ROCProfiler](https://github.com/ROCm/rocprofiler/) | [MIT](https://github.com/ROCm/rocprofiler/blob/amd-master/LICENSE) |
 | [ROCprofiler-SDK](https://github.com/ROCm/rocprofiler-sdk) | [MIT](https://github.com/ROCm/rocprofiler-sdk/blob/amd-mainline/LICENSE) |
 | [rocPyDecode](https://github.com/ROCm/rocPyDecode) | [MIT](https://github.com/ROCm/rocPyDecode/blob/develop/LICENSE) |
 | [rocRAND](https://github.com/ROCm/rocRAND/) | [MIT](https://github.com/ROCm/rocRAND/blob/develop/LICENSE.txt) |
 | [ROCr Debug Agent](https://github.com/ROCm/rocr_debug_agent/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocr_debug_agent/blob/amd-staging/LICENSE.txt) |
-| [ROCR-Runtime](https://github.com/ROCm/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/ROCm/ROCR-Runtime/blob/amd-staging/LICENSE.txt) |
+| [ROCR-Runtime](https://github.com/ROCm/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/ROCm/ROCR-Runtime/blob/master/LICENSE.txt) |
 | [rocSOLVER](https://github.com/ROCm/rocSOLVER/) | [BSD-2-Clause](https://github.com/ROCm/rocSOLVER/blob/develop/LICENSE.md) |
 | [rocSPARSE](https://github.com/ROCm/rocSPARSE/) | [MIT](https://github.com/ROCm/rocSPARSE/blob/develop/LICENSE.md) |
 | [rocThrust](https://github.com/ROCm/rocThrust/) | [Apache 2.0](https://github.com/ROCm/rocThrust/blob/develop/LICENSE) |
 | [ROCTracer](https://github.com/ROCm/roctracer/) | [MIT](https://github.com/ROCm/roctracer/blob/amd-master/LICENSE) |
+| [ROCT-Thunk-Interface](https://github.com/ROCm/ROCT-Thunk-Interface/) | [MIT](https://github.com/ROCm/ROCT-Thunk-Interface/blob/master/LICENSE.md) |
 | [rocWMMA](https://github.com/ROCm/rocWMMA/) | [MIT](https://github.com/ROCm/rocWMMA/blob/develop/LICENSE.md) |
 | [Tensile](https://github.com/ROCm/Tensile/) | [MIT](https://github.com/ROCm/Tensile/blob/develop/LICENSE.md) |
 | [TransferBench](https://github.com/ROCm/TransferBench) | [MIT](https://github.com/ROCm/TransferBench/blob/develop/LICENSE.md) |
@@ -99,7 +99,7 @@ repositories to distinguish from open sourced packages.
 The following additional terms and conditions apply to your use of ROCm technical documentation.
 ```
 
-©2023 - 2025 Advanced Micro Devices, Inc. All rights reserved.
+©2023 - 2024 Advanced Micro Devices, Inc. All rights reserved.
 
 The information presented in this document is for informational purposes only
 and may contain technical inaccuracies, omissions, and typographical errors. The

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

@@ -1,129 +1,117 @@
-ROCm Version,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 24.04.1, 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, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
-      ,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
-      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 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, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
-      ,"SLES 15 SP6, 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 8.10 [#mic300x-past-60]_,Oracle Linux 8.10 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,Oracle Linux 8.9 [#mic300x-past-60]_,,,
-,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
-,Azure Linux 3.0 [#mic300x-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
-      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
-      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
-      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
-      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
-      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,
-      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
-      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
-      ,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
-      ,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>`,"2.4, 2.3, 2.2, 2.1, 2.0, 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>`,"2.17.0, 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>`,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
-      ,,,,,,,,,,,,
-      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,>=1.2.0,>=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,>=1.14.1,>=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,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-      CUB,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-,,,,,,,,,,,,
-      ,,,,,,,,,,,,
-      KMD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,
-      Tested user space versions,"6.3.x, 6.2.x, 6.1.x","6.3.x, 6.2.x, 6.1.x","6.3.x, 6.2.x, 6.1.x, 6.0.x","6.3.x, 6.2.x, 6.1.x, 6.0.x","6.3.x, 6.2.x, 6.1.x, 6.0.x","6.3.x, 6.2.x, 6.1.x, 6.0.x","6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.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
-      :doc:`MIGraphX <amdmigraphx:index>`,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>`,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`MIVisionX <mivisionx:index>`,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
-      :doc:`rocAL <rocal:index>`,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`rocDecode <rocdecode:index>`,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
-      :doc:`rocJPEG <rocjpeg:index>`,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`rocPyDecode <rocpydecode:index>`,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`RPP <rpp:index>`,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
-      ,,,,,,,,,,,,
-      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,
-      :doc:`RCCL <rccl:index>`,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
-      ,,,,,,,,,,,,
-      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
-      :doc:`hipBLAS <hipblas:index>`,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>`,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
-      :doc:`hipFFT <hipfft:index>`,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
-      :doc:`hipfort <hipfort:index>`,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
-      :doc:`hipRAND <hiprand:index>`,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
-,,,,,,,,,,,,
-      :doc:`hipSOLVER <hipsolver:index>`,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
-      :doc:`hipSPARSE <hipsparse:index>`,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
-      :doc:`rocALUTION <rocalution:index>`,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
-      :doc:`rocBLAS <rocblas:index>`,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
-      :doc:`rocFFT <rocfft:index>`,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
-      :doc:`rocRAND <rocrand:index>`,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
-      :doc:`rocSOLVER <rocsolver:index>`,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
-      :doc:`rocSPARSE <rocsparse:index>`,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
-      :doc:`rocWMMA <rocwmma:index>`,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
-      :doc:`Tensile <tensile:src/index>`,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
-      ,,,,,,,,,,,,
-      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,
-      :doc:`hipCUB <hipcub:index>`,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`hipTensor <hiptensor:index>`,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
-      :doc:`rocPRIM <rocprim:index>`,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      ,,,,,,,,,,,,
-      SUPPORT LIBS,,,,,,,,,,,,
-      `hipother <https://github.com/ROCm/hipother>`_,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-,,,,,,,,,,,,
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,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>`,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
-      :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
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,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>`,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
-      ,,,,,,,,,,,,
-      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
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,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>`,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>`,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
-,,,,,,,,,,,,
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCTracer <roctracer:index>`,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
-,,,,,,,,,,,,
-      ,,,,,,,,,,,,
-      DEVELOPMENT TOOLS,,,,,,,,,,,,
-      :doc:`HIPIFY <hipify:index>`,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>`,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
-      ,,,,,,,,,,,,
-      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,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
-      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      `Flang <https://github.com/ROCm/flang>`_,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>`,18.0.0.24455,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,18.0.0.24455,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-,,,,,,,,,,,,
-      ,,,,,,,,,,,,
-      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-,,,,,,,,,,,,
-      :doc:`HIP <hip:index>`,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-,,,,,,,,,,,,
-      `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
-      :doc:`ROCr Runtime <rocr-runtime:index>`,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,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,
+      ,"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 22.04.4, 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"
+      ,"RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4 [#red-hat94-past-60]_, 9.3, 9.2","RHEL 9.4 [#red-hat94-past-60]_, 9.3, 9.2","RHEL 9.4 [#red-hat94-past-60]_, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
+      ,"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"
+      ,"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"
+      ,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
+      ,Oracle Linux 8.9 [#oracle89-past-60]_,Oracle Linux 8.9 [#oracle89-past-60]_,Oracle Linux 8.9 [#oracle89-past-60]_,Oracle Linux 8.9 [#oracle89-past-60]_,Oracle Linux 8.9 [#oracle89-past-60]_,Oracle Linux 8.9 [#oracle89-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
+      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
+      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
+      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
+      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
+      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
+      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
+      ,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_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
+      ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
+      ,,,,,,,,,
+      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`PyTorch <rocm-install-on-linux:install/3rd-party/pytorch-install>`,"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"
+      :doc:`TensorFlow <rocm-install-on-linux:install/3rd-party/tensorflow-install>`,"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","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
+      :doc:`JAX <rocm-install-on-linux:install/3rd-party/jax-install>`,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
+      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
+      ,,,,,,,,,
+      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,>=1.2.0,>=1.2.0
+      `UCX <https://github.com/ROCm/ucx>`_,>=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
+      ,,,,,,,,,
+      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,
+      Thrust,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+      CUB,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+      ,,,,,,,,,
+      KFD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,
+      Tested user space versions,"6.1.x, 6.0.x","6.1.x, 6.0.x","6.1.x, 6.0.x","6.1.x, 6.0.x","6.2.x, 6.0.x, 5.7.x","6.2.x, 6.0.x, 5.7.x","6.2.x, 6.0.x, 5.7.x","6.2.x, 6.0.x, 5.7.x, 5.6.x","6.2.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
+      :doc:`MIGraphX <amdmigraphx:index>`,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
+      :doc:`MIOpen <miopen:index>`,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`MIVisionX <mivisionx:index>`,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
+      :doc:`rocAL <rocal:index>`,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
+      :doc:`rocDecode <rocdecode:index>`,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:`rocPyDecode <rocpydecode:index>`,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A
+      :doc:`RPP <rpp:index>`,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
+      ,,,,,,,,,
+      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`RCCL <rccl:index>`,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
+      ,,,,,,,,,
+      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
+      :doc:`hipBLAS <hipblas:index>`,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
+      :doc:`hipFFT <hipfft:index>`,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
+      :doc:`hipFORT <hipfort:index>`,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>`,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
+      :doc:`hipSOLVER <hipsolver:index>`,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
+      :doc:`rocALUTION <rocalution:index>`,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
+      :doc:`rocBLAS <rocblas:index>`,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
+      :doc:`rocFFT <rocfft:index>`,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
+      :doc:`rocRAND <rocrand:index>`,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
+      :doc:`rocSOLVER <rocsolver:index>`,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
+      :doc:`rocWMMA <rocwmma:index>`,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
+      `Tensile <https://github.com/ROCm/Tensile>`_,4.40.0,4.40.0,4.40.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
+      ,,,,,,,,,
+      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`hipCUB <hipcub:index>`,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`hipTensor <hiptensor:index>`,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
+      :doc:`rocPRIM <rocprim:index>`,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`rocThrust <rocthrust:index>`,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      ,,,,,,,,,
+      SUPPORT LIBS,,,,,,,,,
+      `hipother <https://github.com/ROCm/hipother>`_,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.2.4,6.2.2,6.2.1,6.2.0,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
+      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
+      ,,,,,,,,,
+      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`AMD SMI <amdsmi:index>`,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
+      :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
+      :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
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,rocm-6.2.4,rocm-6.2.2,rocm-6.2.1,rocm-6.2.0,rocm-6.1.2,rocm-6.1.1,rocm-6.1.0,rocm-6.0.2,rocm-6.0.0
+      ,,,,,,,,,
+      PERFORMANCE TOOLS,,,,,,,,,
+      :doc:`Omniperf <omniperf:index>`,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A
+      :doc:`Omnitrace <omnitrace:index>`,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A
+      :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
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCTracer <roctracer:index>`,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
+      ,,,,,,,,,
+      DEVELOPMENT TOOLS,,,,,,,,,
+      :doc:`HIPIFY <hipify:index>`,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
+      :doc:`ROCdbgapi <rocdbgapi:index>`,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
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
+      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,N/A,N/A
+      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,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,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
+      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      `Flang <https://github.com/ROCm/flang>`_,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`llvm-project <llvm-project:index>`,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      ,,,,,,,,,
+      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      :doc:`HIP <hip:index>`,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `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
+      :doc:`ROCR-Runtime <rocr-runtime:index>`,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0

docs/compatibility/compatibility-matrix.rst

@@ -10,11 +10,7 @@ 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 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.
+Accelerators and GPUs listed in the following table support compute workloads (no display 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
 
@@ -23,17 +19,17 @@ compatibility and system requirements.
 .. container:: format-big-table
 
   .. csv-table::
-      :header: "ROCm Version", "6.3.1", "6.3.0", "6.2.0"
+      :header: "ROCm Version", "6.2.4", "6.2.2", "6.1.0"
       :stub-columns: 1
 
-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04
-      ,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4"
-      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3"
-      ,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9"
-      ,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5"
-      ,Oracle Linux 8.10 [#mi300x]_,Oracle Linux 8.10 [#mi300x]_,Oracle Linux 8.9 [#mi300x]_
-      ,Debian 12 [#single-node]_,,
-      ,Azure Linux 3.0 [#mi300x]_,,
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",
+      ,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.4, 22.04.3"
+      ,,,"Ubuntu 20.04.6, 20.04.5"
+      ,"RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4 [#red-hat94]_, 9.3, 9.2"
+      ,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8"
+      ,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4"
+      ,,,CentOS 7.9
+      ,Oracle Linux 8.9 [#oracle89]_,Oracle Linux 8.9 [#oracle89]_,
       ,.. _architecture-support-compatibility-matrix:,,
       :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3
       ,CDNA2,CDNA2,CDNA2
@@ -43,149 +39,154 @@ compatibility and system requirements.
       ,.. _gpu-support-compatibility-matrix:,,
       :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100
       ,gfx1030,gfx1030,gfx1030
-      ,gfx942,gfx942,gfx942 [#mi300_620]_
+      ,gfx942 [#mi300_624]_,gfx942 [#mi300_622]_, gfx942 [#mi300_610]_
       ,gfx90a,gfx90a,gfx90a
       ,gfx908,gfx908,gfx908
       ,,,
       FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"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"
-      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"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"
-      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.31,0.4.31,0.4.26
+      :doc:`PyTorch <rocm-install-on-linux:install/3rd-party/pytorch-install>`,"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"
+      :doc:`TensorFlow <rocm-install-on-linux:install/3rd-party/tensorflow-install>`,"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"
+      :doc:`JAX <rocm-install-on-linux:install/3rd-party/jax-install>`,0.4.26,0.4.26,0.4.26
       `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.17.3,1.17.3,1.17.3
       ,,,
       THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix:,,
       `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0
-      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0
+      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.14.1
       ,,,
       THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix:,,
-      Thrust,2.3.2,2.3.2,2.2.0
-      CUB,2.3.2,2.3.2,2.2.0
+      Thrust,2.2.0,2.2.0,2.1.0
+      CUB,2.2.0,2.2.0,2.1.0
       ,,,
-      KMD & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
-      Tested user space versions,"6.3.x, 6.2.x, 6.1.x","6.3.x, 6.2.x, 6.1.x","6.3.x, 6.2.x, 6.1.x, 6.0.x"
+      KFD & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
+      Tested user space versions,"6.1.x, 6.0.x","6.1.x, 6.0.x","6.2.x, 6.0.x, 5.7.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>`,2.11.0,2.11.0,2.10.0
-      :doc:`MIOpen <miopen:index>`,3.3.0,3.3.0,3.2.0
-      :doc:`MIVisionX <mivisionx:index>`,3.1.0,3.1.0,3.0.0
-      :doc:`rocAL <rocal:index>`,2.1.0,2.1.0,1.0.0
-      :doc:`rocDecode <rocdecode:index>`,0.8.0,0.8.0,0.6.0
-      :doc:`rocJPEG <rocjpeg:index>`,0.6.0,0.6.0,N/A
-      :doc:`rocPyDecode <rocpydecode:index>`,0.2.0,0.2.0,0.1.0
-      :doc:`RPP <rpp:index>`,1.9.1,1.9.1,1.8.0
+      :doc:`MIGraphX <amdmigraphx:index>`,2.10.0,2.10.0,2.9.0
+      :doc:`MIOpen <miopen:index>`,3.2.0,3.2.0,3.1.0
+      :doc:`MIVisionX <mivisionx:index>`,3.0.0,3.0.0,2.5.0
+      :doc:`rocAL <rocal:index>`,2.0.0,2.0.0,1.0.0
+      :doc:`rocDecode <rocdecode:index>`,0.6.0,0.6.0,0.5.0
+      :doc:`rocPyDecode <rocpydecode:index>`,0.1.0,0.1.0,N/A
+      :doc:`RPP <rpp:index>`,1.8.0,1.8.0,1.5.0
       ,,,
       COMMUNICATION,.. _commlibs-support-compatibility-matrix:,,
-      :doc:`RCCL <rccl:index>`,2.21.5,2.21.5,2.20.5
+      :doc:`RCCL <rccl:index>`,2.20.5,2.20.5,2.18.6
       ,,,
       MATH LIBS,.. _mathlibs-support-compatibility-matrix:,,
       `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,2.3.0,2.3.0,2.2.0
-      :doc:`hipBLASLt <hipblaslt:index>`,0.10.0,0.10.0,0.8.0
-      :doc:`hipFFT <hipfft:index>`,1.0.17,1.0.17,1.0.14
-      :doc:`hipfort <hipfort:index>`,0.5.0,0.5.0,0.4.0
-      :doc:`hipRAND <hiprand:index>`,2.11.1,2.11.0,2.11.0
-      :doc:`hipSOLVER <hipsolver:index>`,2.3.0,2.3.0,2.2.0
-      :doc:`hipSPARSE <hipsparse:index>`,3.1.2,3.1.2,3.1.1
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.2,0.2.2,0.2.1
-      :doc:`rocALUTION <rocalution:index>`,3.2.1,3.2.1,3.2.0
-      :doc:`rocBLAS <rocblas:index>`,4.3.0,4.3.0,4.2.0
-      :doc:`rocFFT <rocfft:index>`,1.0.31,1.0.31,1.0.28
-      :doc:`rocRAND <rocrand:index>`,3.2.0,3.2.0,3.1.0
-      :doc:`rocSOLVER <rocsolver:index>`,3.27.0,3.27.0,3.26.0
-      :doc:`rocSPARSE <rocsparse:index>`,3.3.0,3.3.0,3.2.0
-      :doc:`rocWMMA <rocwmma:index>`,1.6.0,1.6.0,1.5.0
-      :doc:`Tensile <tensile:src/index>`,4.42.0,4.42.0,4.41.0
+      :doc:`hipBLAS <hipblas:index>`,2.2.0,2.2.0,2.1.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.8.0,0.8.0,0.7.0
+      :doc:`hipFFT <hipfft:index>`,1.0.16,1.0.15,1.0.14
+      :doc:`hipFORT <hipfort:index>`,0.4.0,0.4.0,0.4.0
+      :doc:`hipRAND <hiprand:index>`,2.11.1,2.11.0,2.10.16
+      :doc:`hipSOLVER <hipsolver:index>`,2.2.0,2.2.0,2.1.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.1.1,3.1.1,3.0.1
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.1,0.2.1,0.1.0
+      :doc:`rocALUTION <rocalution:index>`,3.2.1,3.2.0,3.1.1
+      :doc:`rocBLAS <rocblas:index>`,4.2.4,4.2.1,4.1.0
+      :doc:`rocFFT <rocfft:index>`,1.0.30,1.0.29,1.0.26
+      :doc:`rocRAND <rocrand:index>`,3.1.1,3.1.0,3.0.1
+      :doc:`rocSOLVER <rocsolver:index>`,3.26.2,3.26.0,3.25.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.2.1,3.2.0,3.1.2
+      :doc:`rocWMMA <rocwmma:index>`,1.5.0,1.5.0,1.4.0
+      `Tensile <https://github.com/ROCm/Tensile>`_,4.40.0,4.40.0,4.40.0
       ,,,
       PRIMITIVES,.. _primitivelibs-support-compatibility-matrix:,,
-      :doc:`hipCUB <hipcub:index>`,3.3.0,3.3.0,3.2.0
-      :doc:`hipTensor <hiptensor:index>`,1.4.0,1.4.0,1.3.0
-      :doc:`rocPRIM <rocprim:index>`,3.3.0,3.3.0,3.2.0
-      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.0.1
+      :doc:`hipCUB <hipcub:index>`,3.2.1,3.2.0,3.1.0
+      :doc:`hipTensor <hiptensor:index>`,1.3.0,1.3.0,1.2.0
+      :doc:`rocPRIM <rocprim:index>`,3.2.2,3.2.0,3.1.0
+      :doc:`rocThrust <rocthrust:index>`,3.1.1,3.1.0,3.0.1
       ,,,
       SUPPORT LIBS,,,
-      `hipother <https://github.com/ROCm/hipother>`_,6.3.42133,6.3.42131,6.2.41133
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.3.1,6.3.0,6.2.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_,20240607.1.4246
+      `hipother <https://github.com/ROCm/hipother>`_,6.2.41134,6.2.41134,6.1.40091
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.2.4,6.2.2,6.1.0
+      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,20240607.5.7,20240607.5.7,20240125.3.30
       ,,,
       SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix:,,
-      :doc:`AMD SMI <amdsmi:index>`,24.7.1,24.7.1,24.6.2
+      :doc:`AMD SMI <amdsmi:index>`,24.6.3,24.6.3,24.4.1
       :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>`,7.4.0,7.4.0,7.3.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.0.60200
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.3.0,7.3.0,7.0.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,rocm-6.2.4,rocm-6.2.2,rocm-6.1.0
       ,,,
       PERFORMANCE TOOLS,,,
+      :doc:`Omniperf <omniperf:index>`,2.0.1,2.0.1,N/A
+      :doc:`Omnitrace <omnitrace:index>`,1.11.2,1.11.2,N/A
       :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.0.0,3.0.0,2.0.1
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,0.1.0,0.1.0,1.11.2
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60301,2.0.60300,2.0.60200
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.5.0,0.5.0,0.4.0
-      :doc:`ROCTracer <roctracer:index>`,4.1.60301,4.1.60300,4.1.60200
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60204,2.0.60202,2.0.60100
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.4.0,0.4.0,N/A
+      :doc:`ROCTracer <roctracer:index>`,4.1.60204,4.1.60202,4.1.60100
       ,,,
       DEVELOPMENT TOOLS,,,
-      :doc:`HIPIFY <hipify:index>`,18.0.0.24491,18.0.0.24455,18.0.0.24232
-      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.13.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.0,0.77.0,0.76.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,14.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0
+      :doc:`HIPIFY <hipify:index>`,18.0.0.24392,18.0.0.24355,17.0.0.24103
+      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.13.0,0.13.0,0.12.0
+      :doc:`ROCdbgapi <rocdbgapi:index>`,0.76.0,0.76.0,0.71.0
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,14.2.0,14.2.0,14.1.0
+      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.3.0
       :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.3,2.0.3,2.0.3
       ,,,
       COMPILERS,.. _compilers-support-compatibility-matrix:,,
-      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A
-      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1
-      `Flang <https://github.com/ROCm/flang>`_,18.0.0.24491,18.0.0.24455,18.0.0.24232
-      :doc:`llvm-project <llvm-project:index>`,18.0.0.24491,18.0.0.24455,18.0.0.24232
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,18.0.0.24491,18.0.0.24455,18.0.0.24232
+      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,0.5.0
+      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.0.0
+      `Flang <https://github.com/ROCm/flang>`_,18.0.0.24392,18.0.0.24355,17.0.0.24103
+      :doc:`llvm-project <llvm-project:index>`,18.0.0.24392,18.0.0.24355,17.0.0.24103
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,18.0.0.24392,18.0.0.24355,17.0.0.24103
       ,,,
       RUNTIMES,.. _runtime-support-compatibility-matrix:,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,6.3.42133,6.3.42131,6.2.41133
-      :doc:`HIP <hip:index>`,6.3.42133,6.3.42131,6.2.41133
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.2.41134,6.2.41134,6.1.40091
+      :doc:`HIP <hip:index>`,6.2.41134,6.2.41134,6.1.40091
       `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>`,1.14.0,1.14.0,1.13.0
+      :doc:`ROCR-Runtime <rocr-runtime:index>`,1.14.0,1.14.0,1.13.0
 
 
 .. rubric:: Footnotes
 
-.. [#mi300x] Oracle Linux and Azure Linux are supported only on AMD Instinct MI300X.
-.. [#single-node] Debian 12 is supported only on AMD Instinct MI300X for single-node functionality. 
-.. [#mi300_620] **For ROCm 6.2.0** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
-.. [#kfd_support] ROCm provides forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software 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.
+.. [#red-hat94] RHEL 9.4 is supported only on AMD Instinct MI300A.
+.. [#oracle89] Oracle Linux is supported only on AMD Instinct MI300X.
+.. [#mi300_624] **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] **For ROCm 6.2.2** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
+.. [#mi300_610] **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.
+.. [#kfd_support] ROCm provides forward and backward compatibility between the Kernel Fusion Driver (KFD) and its user space software for +/- 2 releases. These are the compatibility combinations that are currently supported.
+
 
 .. _OS-kernel-versions:
 
 Operating systems and kernel versions
 *************************************
 
-Use this lookup table to confirm which operating system and kernel versions are supported with ROCm.
+Use this look up table to confirm which operating system and kernel versions are supported with ROCm.
 
 .. csv-table:: 
    :header: "OS", "Version", "Kernel"
    :widths: 40, 20, 40
    :stub-columns: 1
 
-   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.2, "6.8 GA, 6.11 HWE"
+   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 24.04.1, "6.8 GA"
    , 24.04, "6.8 GA"
+   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.05, "5.15 GA, 6.8 HWE"
+   , 22.04.04, "5.15 GA, 6.5 HWE"
+   , 22.04.03, "5.15 GA, 6.2 HWE"
+   , 22.04.02, "5.15 GA, 5.19 HWE"
+   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 20.04.06, "5.15 HWE"
+   , 20.04.05, "5.15 HWE"
    ,,
-   `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.5, "5.15 GA, 6.8 HWE"
-   , 22.04.4, "5.15 GA, 6.5 HWE"
-   ,,
-   `Red Hat Enterprise Linux (RHEL) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.5, 5.14.0
-   ,9.4, 5.14.0
+   `Red Hat Enterprise Linux (RHEL) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.4, 5.14.0
    ,9.3, 5.14.0
+   ,9.2, 5.14.0
    ,,
    `Red Hat Enterprise Linux (RHEL) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0
    ,8.9, 4.18.0
+   ,8.8, 4.18.0
+   ,,
+   `CentOS <https://access.redhat.com/articles/3078#RHEL7>`_, 7.9, 3.10
    ,,
    `SUSE Linux Enterprise Server (SLES) <https://www.suse.com/support/kb/doc/?id=000019587#SLE15SP4>`_, 15 SP6, 6.4.0
    ,15 SP5, 5.14.21
+   ,15 SP4, 5.14.21
    ,,
-   `Oracle Linux <https://blogs.oracle.com/scoter/post/oracle-linux-and-unbreakable-enterprise-kernel-uek-releases>`_, 8.10, 5.15.0
-   ,8.9, 5.15.0
-   ,,
-   `Debian <https://www.debian.org/download>`_,12, 6.1
-   `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
+   `Oracle Linux <https://blogs.oracle.com/scoter/post/oracle-linux-and-unbreakable-enterprise-kernel-uek-releases>`_, 8.9, 5.15.0
+ 
 
 ..
    Footnotes and ref anchors in below historical tables should be appended with "-past-60", to differentiate from the 
@@ -210,11 +211,11 @@ Expand for full historical view of:
       :file: compatibility-matrix-historical-6.0.csv
       :header-rows: 1
       :stub-columns: 1
-
+   
    .. rubric:: Footnotes
 
-   .. [#mic300x-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. 
+   .. [#red-hat94-past-60] RHEL 9.4 is supported only on AMD Instinct MI300A.
+   .. [#oracle89-past-60] Oracle Linux is supported only on AMD Instinct MI300X.
    .. [#mi300_624-past-60] **For ROCm 6.2.4** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
    .. [#mi300_622-past-60] **For ROCm 6.2.2** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
    .. [#mi300_621-past-60] **For ROCm 6.2.1** - MI300X (gfx942) is supported on listed operating systems *except* Ubuntu 22.04.5 [6.8 HWE] and Ubuntu 22.04.4 [6.5 HWE].
@@ -224,5 +225,4 @@ 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.
-   .. [#kfd_support-past-60] ROCm provides forward and backward compatibility between the AMD Kernel-mode GPU Driver (KMD) and its user space software 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.
+   .. [#kfd_support-past-60] ROCm provides forward and backward compatibility between the Kernel Fusion Driver (KFD) and its user space software for +/- 2 releases. These are the compatibility combinations that are currently supported.

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

@@ -1,663 +0,0 @@
-.. meta::
-   :description: JAX compatibility
-   :keywords: GPU, JAX compatibility
-
-*******************************************************************************
-JAX compatibility
-*******************************************************************************
-
-JAX provides a NumPy-like API, which combines automatic differentiation and the
-Accelerated Linear Algebra (XLA) compiler to achieve high-performance machine
-learning at scale.
-
-JAX uses composable transformations of Python and NumPy through just-in-time (JIT) compilation,
-automatic vectorization, and parallelization. To learn about JAX, including profiling and
-optimizations, see the official `JAX documentation
-<https://jax.readthedocs.io/en/latest/notebooks/quickstart.html>`_.
-
-ROCm support for JAX is upstreamed and users can build the official source code with ROCm
-support:
-
-- ROCm JAX release:
-
-  - Offers AMD-validated and community :ref:`Docker images <jax-docker-compat>` with ROCm and JAX pre-installed.
-
-  - ROCm JAX repository: `<https://github.com/ROCm/jax>`__
-
-  - See the :doc:`ROCm JAX installation guide <rocm-install-on-linux:install/3rd-party/jax-install>`
-    to get started.
-
-- Official JAX release:
-
-  - Official JAX repository: `<https://github.com/jax-ml/jax>`__
-
-  - See the `AMD GPU (Linux) installation section
-    <https://jax.readthedocs.io/en/latest/installation.html#amd-gpu-linux>`_ in the JAX
-    documentation.
-
-.. note::
-
-   AMD releases official `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
-   quarterly alongside new ROCm releases. These images undergo full AMD testing.
-   `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
-   follow upstream JAX releases and use the latest available ROCm version.
-
-.. _jax-docker-compat:
-
-Docker image compatibility
-================================================================================
-
-.. |docker-icon| raw:: html
-
-   <i class="fab fa-docker"></i>
-
-AMD validates and publishes ready-made `JAX <https://hub.docker.com/r/rocm/jax/>`_
-images with ROCm backends on Docker Hub. The following Docker image tags and
-associated inventories are validated for
-`ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. 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/rocm6.3.1-jax0.4.31-py3.12/images/sha256-085a0cd5207110922f1fca684933a9359c66d42db6c5aba4760ed5214fdabde0"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
-
-      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
-      - Ubuntu 24.04
-      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.3.1-jax0.4.31-py3.10/images/sha256-f88eddad8f47856d8640b694da4da347ffc1750d7363175ab7dc872e82b43324"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
-
-      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
-      - Ubuntu 22.04
-      - `3.10.14 <https://www.python.org/downloads/release/python-31014/>`_
-
-AMD publishes community `JAX <https://hub.docker.com/r/rocm/jax-community>`_
-images with ROCm backends on Docker Hub. The following Docker image tags and
-associated inventories are tested for `ROCm 6.2.4 <https://repo.radeon.com/rocm/apt/6.2.4/>`_.
-
-.. 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/rocm6.2.4-jax0.4.35-py3.12.7/images/sha256-a6032d89c07573b84c44e42c637bf9752b1b7cd2a222d39344e603d8f4c63beb?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
-
-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
-      - Ubuntu 22.04
-      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.11.10/images/sha256-d462f7e445545fba2f3b92234a21beaa52fe6c5f550faabcfdcd1bf53486d991?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
-
-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
-      - Ubuntu 22.04
-      - `3.11.10 <https://www.python.org/downloads/release/python-31110/>`_
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.10.15/images/sha256-6f2d4d0f529378d9572f0e8cfdcbc101d1e1d335bd626bb3336fff87814e9d60?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
-
-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
-      - Ubuntu 22.04
-      - `3.10.15 <https://www.python.org/downloads/release/python-31015/>`_
-
-Critical ROCm libraries for JAX
-================================================================================
-
-The functionality of JAX with ROCm is determined by its underlying library
-dependencies. These critical ROCm components affect the capabilities,
-performance, and feature set available to developers.
-
-.. list-table::
-    :header-rows: 1
-
-    * - ROCm library
-      - Version
-      - Purpose
-      - Used in
-    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
-      - 2.3.0
-      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
-        matrix and vector operations.
-      - Matrix multiplication in ``jax.numpy.matmul``, ``jax.lax.dot`` and
-        ``jax.lax.dot_general``, operations like ``jax.numpy.dot``, which
-        involve vector and matrix computations and batch matrix multiplications
-        ``jax.numpy.einsum`` with matrix-multiplication patterns algebra
-        operations.
-    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
-      - 0.10.0
-      - hipBLASLt is an extension of hipBLAS, providing additional
-        features like epilogues fused into the matrix multiplication kernel or
-        use of integer tensor cores.
-      - Matrix multiplication in ``jax.numpy.matmul`` or ``jax.lax.dot``, and
-        the XLA (Accelerated Linear Algebra) use hipBLASLt for optimized matrix
-        operations, mixed-precision support, and hardware-specific
-        optimizations.
-    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms for reduction,
-        scan, sort and select.
-      - Reduction functions (``jax.numpy.sum``, ``jax.numpy.mean``, 
-        ``jax.numpy.prod``, ``jax.numpy.max`` and ``jax.numpy.min``), prefix sum
-        (``jax.numpy.cumsum``, ``jax.numpy.cumprod``) and sorting
-        (``jax.numpy.sort``, ``jax.numpy.argsort``).
-    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
-      - 1.0.17
-      - Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
-      - Used in functions like ``jax.numpy.fft``.
-    * - `hipRAND <https://github.com/ROCm/hipRAND>`_
-      - 2.11.0
-      - Provides fast random number generation for GPUs.
-      - The ``jax.random.uniform``, ``jax.random.normal``,
-        ``jax.random.randint`` and ``jax.random.split``.
-    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
-      - 2.3.0
-      - Provides GPU-accelerated solvers for linear systems, eigenvalues, and
-        singular value decompositions (SVD).
-      - Solving linear systems (``jax.numpy.linalg.solve``), matrix
-        factorizations, SVD (``jax.numpy.linalg.svd``) and eigenvalue problems 
-        (``jax.numpy.linalg.eig``).
-    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
-      - 3.1.2
-      - Accelerates operations on sparse matrices, such as sparse matrix-vector
-        or matrix-matrix products.
-      - Sparse matrix multiplication (``jax.numpy.matmul``), sparse
-        matrix-vector and matrix-matrix products
-        (``jax.experimental.sparse.dot``), sparse linear system solvers and
-        sparse data handling.
-    * - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
-      - 0.2.2
-      - Accelerates operations on sparse matrices, such as sparse matrix-vector
-        or matrix-matrix products.
-      - Sparse matrix multiplication (``jax.numpy.matmul``), sparse
-        matrix-vector and matrix-matrix products
-        (``jax.experimental.sparse.dot``) and sparse linear system solvers.
-    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
-      - 3.3.0
-      - Optimized for deep learning primitives such as convolutions, pooling,
-        normalization, and activation functions.
-      - Speeds up convolutional neural networks (CNNs), recurrent neural
-        networks (RNNs), and other layers. Used in operations like
-        ``jax.nn.conv``, ``jax.nn.relu``, and ``jax.nn.batch_norm``.
-    * - `RCCL <https://github.com/ROCm/rccl>`_
-      - 2.21.5
-      - Optimized for multi-GPU communication for operations like  all-reduce,
-        broadcast, and scatter.
-      - Distribute computations across multiple GPU with ``pmap`` and
-        ``jax.distributed``. XLA automatically uses rccl when executing
-        operations across multiple GPUs on AMD hardware.
-    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms like sorting,
-        reduction, and scanning.
-      - Reduction operations like ``jax.numpy.sum``, ``jax.pmap`` for
-        distributed training, which involves parallel reductions or
-        operations like ``jax.numpy.cumsum`` can use rocThrust.
-
-Supported and unsupported features
-===============================================================================
-
-The following table maps GPU-accelerated JAX modules to their supported
-ROCm and JAX versions.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Description
-      - Since JAX
-      - Since ROCm
-    * - ``jax.numpy``
-      - Implements the NumPy API, using the primitives in ``jax.lax``.
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy``
-      - Provides GPU-accelerated and differentiable implementations of many
-        functions from the SciPy library, leveraging JAX's transformations
-        (e.g., ``grad``, ``jit``, ``vmap``).
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.lax``
-      - A library of primitives operations that underpins libraries such as
-        ``jax.numpy.`` Transformation rules, such as Jacobian-vector product
-        (JVP) and batching rules, are typically defined as transformations on
-        ``jax.lax`` primitives.
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.random``
-      - Provides a number of routines for deterministic generation of sequences
-        of pseudorandom numbers.
-      - 0.1.58
-      - 5.0.0
-    * - ``jax.sharding``
-      - Allows to define partitioning and distributing arrays across multiple
-        devices.
-      - 0.3.20
-      - 5.1.0
-    * - ``jax.dlpack``
-      - For exchanging tensor data between JAX and other libraries that support the
-        DLPack standard.
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.distributed``
-      - Enables the scaling of computations across multiple devices on a single
-        machine or across multiple machines.
-      - 0.1.74
-      - 5.0.0
-    * - ``jax.dtypes``
-      - Provides utilities for working with and managing data types in JAX
-        arrays and computations.
-      - 0.1.66
-      - 5.0.0 
-    * - ``jax.image``
-      - Contains image manipulation functions like resize, scale and translation.
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.nn``
-      - Contains common functions for neural network libraries.
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.ops``
-      - Computes the minimum, maximum, sum or product within segments of an
-        array.
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.profiler``
-      - Contains JAX’s tracing and time profiling features.
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.stages``
-      - Contains interfaces to stages of the compiled execution process.
-      - 0.3.4
-      - 5.0.0
-    * - ``jax.tree``
-      - Provides utilities for working with tree-like container data structures.
-      - 0.4.26
-      - 5.6.0
-    * - ``jax.tree_util``
-      - Provides utilities for working with nested data structures, or
-        ``pytrees``.
-      - 0.1.65
-      - 5.0.0
-    * - ``jax.typing``
-      - Provides JAX-specific static type annotations.
-      - 0.3.18
-      - 5.1.0
-    * - ``jax.extend``
-      - Provides modules for access to JAX internal machinery module. The
-        ``jax.extend`` module defines a library view of some of JAX’s internal
-        components.
-      - 0.4.15
-      - 5.5.0
-    * - ``jax.example_libraries``
-      - Serves as a collection of example code and libraries that demonstrate
-        various capabilities of JAX.
-      - 0.1.74
-      - 5.0.0
-    * - ``jax.experimental``
-      - Namespace for experimental features and APIs that are in development or
-        are not yet fully stable for production use.
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.lib``
-      - Set of internal tools and types for bridging between JAX’s Python
-        frontend and its XLA backend.
-      - 0.4.6
-      - 5.3.0
-    * - ``jax_triton``
-      - Library that integrates the Triton deep learning compiler with JAX.
-      - jax_triton 0.2.0 
-      - 6.2.4
-
-jax.scipy module
--------------------------------------------------------------------------------
-
-A SciPy-like API for scientific computing.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Since JAX
-      - Since ROCm
-    * - ``jax.scipy.cluster``
-      - 0.3.11
-      - 5.1.0
-    * - ``jax.scipy.fft``
-      - 0.1.71
-      - 5.0.0
-    * - ``jax.scipy.integrate``
-      - 0.4.15
-      - 5.5.0
-    * - ``jax.scipy.interpolate``
-      - 0.1.76
-      - 5.0.0
-    * - ``jax.scipy.linalg``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy.ndimage``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy.optimize``
-      - 0.1.57
-      - 5.0.0
-    * - ``jax.scipy.signal``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy.spatial.transform``
-      - 0.4.12
-      - 5.4.0
-    * - ``jax.scipy.sparse.linalg``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy.special``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.scipy.stats``
-      - 0.1.56
-      - 5.0.0
-
-jax.scipy.stats module
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. list-table::
-   :header-rows: 1
-
-   * - Module
-     - Since JAX
-     - Since ROCm
-   * - ``jax.scipy.stats.bernouli``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.beta``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.betabinom``
-     - 0.1.61
-     - 5.0.0
-   * - ``jax.scipy.stats.binom``
-     - 0.4.14
-     - 5.4.0
-   * - ``jax.scipy.stats.cauchy``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.chi2``
-     - 0.1.61
-     - 5.0.0
-   * - ``jax.scipy.stats.dirichlet``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.expon``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.gamma``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.gennorm``
-     - 0.3.15
-     - 5.2.0
-   * - ``jax.scipy.stats.geom``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.laplace``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.logistic``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.multinomial``
-     - 0.3.18
-     - 5.1.0
-   * - ``jax.scipy.stats.multivariate_normal``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.nbinom``
-     - 0.1.72
-     - 5.0.0
-   * - ``jax.scipy.stats.norm``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.pareto``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.poisson``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.t``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.truncnorm``
-     - 0.4.0
-     - 5.3.0
-   * - ``jax.scipy.stats.uniform``
-     - 0.1.56
-     - 5.0.0
-   * - ``jax.scipy.stats.vonmises``
-     - 0.4.2
-     - 5.3.0
-   * - ``jax.scipy.stats.wrapcauchy``
-     - 0.4.20
-     - 5.6.0
-
-jax.extend module
--------------------------------------------------------------------------------
-
-Modules for JAX extensions.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Since JAX
-      - Since ROCm
-    * - ``jax.extend.ffi``
-      - 0.4.30
-      - 6.0.0
-    * - ``jax.extend.linear_util``
-      - 0.4.17
-      - 5.6.0
-    * - ``jax.extend.mlir``
-      - 0.4.26
-      - 5.6.0
-    * - ``jax.extend.random``
-      - 0.4.15
-      - 5.5.0
-
-jax.experimental module
--------------------------------------------------------------------------------
-
-Experimental modules and APIs.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Since JAX
-      - Since ROCm
-    * - ``jax.experimental.checkify``
-      - 0.1.75
-      - 5.0.0
-    * - ``jax.experimental.compilation_cache.compilation_cache``
-      - 0.1.68
-      - 5.0.0
-    * - ``jax.experimental.custom_partitioning``
-      - 0.4.0
-      - 5.3.0
-    * - ``jax.experimental.jet``
-      - 0.1.56
-      - 5.0.0
-    * - ``jax.experimental.key_reuse``
-      - 0.4.26
-      - 5.6.0
-    * - ``jax.experimental.mesh_utils``
-      - 0.1.76
-      - 5.0.0
-    * - ``jax.experimental.multihost_utils``
-      - 0.3.2
-      - 5.0.0
-    * - ``jax.experimental.pallas``
-      - 0.4.15
-      - 5.5.0
-    * - ``jax.experimental.pjit``
-      - 0.1.61
-      - 5.0.0
-    * - ``jax.experimental.serialize_executable``
-      - 0.4.0
-      - 5.3.0
-    * - ``jax.experimental.shard_map``
-      - 0.4.3
-      - 5.3.0
-    * - ``jax.experimental.sparse``
-      - 0.1.75
-      - 5.0.0
-
-.. list-table::
-    :header-rows: 1
-
-    * - API
-      - Since JAX
-      - Since ROCm
-    * - ``jax.experimental.enable_x64``
-      - 0.1.60
-      - 5.0.0
-    * - ``jax.experimental.disable_x64``
-      - 0.1.60
-      - 5.0.0
-
-jax.experimental.pallas module
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Module for Pallas, a JAX extension for custom kernels.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Since JAX
-      - Since ROCm
-    * - ``jax.experimental.pallas.mosaic_gpu``
-      - 0.4.31
-      - 6.1.3
-    * - ``jax.experimental.pallas.tpu``
-      - 0.4.15
-      - 5.5.0
-    * - ``jax.experimental.pallas.triton``
-      - 0.4.32
-      - 6.1.3
-
-jax.experimental.sparse module
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Experimental support for sparse matrix operations.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Since JAX
-      - Since ROCm
-    * - ``jax.experimental.sparse.linalg``
-      - 0.3.15
-      - 5.2.0
-    * - ``jax.experimental.sparse.sparsify``
-      - 0.3.25
-      - ❌
-
-.. list-table::
-    :header-rows: 1
-
-    * - ``sparse`` data structure API
-      - Since JAX
-      - Since ROCm
-    * - ``jax.experimental.sparse.BCOO``
-      - 0.1.72
-      - 5.0.0
-    * - ``jax.experimental.sparse.BCSR``
-      - 0.3.20
-      - 5.1.0
-    * - ``jax.experimental.sparse.CSR``
-      - 0.1.75
-      - 5.0.0
-    * - ``jax.experimental.sparse.NM``
-      - 0.4.27
-      - 5.6.0
-    * - ``jax.experimental.sparse.COO``
-      - 0.1.75
-      - 5.0.0
-
-Unsupported JAX features
-------------------------
-
-The following are GPU-accelerated JAX features not currently supported by
-ROCm.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since JAX
-    * - Mixed Precision with TF32
-      - Mixed precision with TF32 is used for matrix multiplications,
-        convolutions, and other linear algebra operations, particularly in
-        deep learning workloads like CNNs and transformers.
-      - 0.2.25
-    * - RNN support
-      - Currently only LSTM with double bias is supported with float32 input
-        and weight.
-      - 0.3.25
-    * - XLA int4 support
-      - 4-bit integer (int4) precision in the XLA compiler.
-      - 0.4.0
-    * - ``jax.experimental.sparsify``
-      - Converts a dense matrix to a sparse matrix representation.
-      - Experimental
-
-Use cases and recommendations
-================================================================================
-
-* The `nanoGPT in JAX <https://rocm.blogs.amd.com/artificial-intelligence/nanoGPT-JAX/README.html>`_
-  blog explores the implementation and training of a Generative Pre-trained
-  Transformer (GPT) model in JAX, inspired by Andrej Karpathy’s PyTorch-based
-  nanoGPT. By comparing how essential GPT components—such as self-attention
-  mechanisms and optimizers—are realized in PyTorch and JAX, also highlight
-  JAX’s unique features.
-
-* The `Optimize GPT Training: Enabling Mixed Precision Training in JAX using
-  ROCm on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-mixed-precision/README.html>`_
-  blog post provides a comprehensive guide on enhancing the training efficiency
-  of GPT models by implementing mixed precision techniques in JAX, specifically
-  tailored for AMD GPUs utilizing the ROCm platform.
-
-* The `Supercharging JAX with Triton Kernels on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-triton/README.html>`_
-  blog demonstrates how to develop a custom fused dropout-activation kernel for
-  matrices using Triton, integrate it with JAX, and benchmark its performance
-  using ROCm.
-
-* The `Distributed fine-tuning with JAX on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/distributed-sft-jax/README.html>`_
-  outlines the process of fine-tuning a Bidirectional Encoder Representations
-  from Transformers (BERT)-based large language model (LLM) using JAX for a text
-  classification task. The blog post discuss techniques for parallelizing the
-  fine-tuning across multiple AMD GPUs and assess the model's performance on a
-  holdout dataset. During the fine-tuning, a BERT-base-cased transformer model
-  and the General Language Understanding Evaluation (GLUE) benchmark dataset was
-  used on a multi-GPU setup.
-
-* The `MI300X workload optimization guide <https://rocm.docs.amd.com/en/latest/how-to/tuning-guides/mi300x/workload.html>`_
-  provides detailed guidance on optimizing workloads for the AMD Instinct MI300X
-  accelerator using ROCm. The page is aimed at helping users achieve optimal
-  performance for deep learning and other high-performance computing tasks on
-  the MI300X GPU.
-
-For more use cases and recommendations, see `ROCm JAX blog posts <https://rocm.blogs.amd.com/blog/tag/jax.html>`_.

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

@@ -1,922 +0,0 @@
-.. meta::
-    :description: PyTorch compatibility
-    :keywords: GPU, PyTorch compatibility
-
-********************************************************************************
-PyTorch compatibility
-********************************************************************************
-
-`PyTorch <https://pytorch.org/>`_ is an open-source tensor library designed for
-deep learning. PyTorch on ROCm provides mixed-precision and large-scale training
-using `MIOpen <https://github.com/ROCm/MIOpen>`_ and
-`RCCL <https://github.com/ROCm/rccl>`_ libraries.
-
-ROCm support for PyTorch is upstreamed into the official PyTorch repository. Due
-to independent compatibility considerations, this results in two distinct
-release cycles for PyTorch on ROCm:
-
-- ROCm PyTorch release:
-
-  - Provides the latest version of ROCm but doesn't immediately support the latest stable PyTorch
-    version.
-
-  - Offers :ref:`Docker images <pytorch-docker-compat>` with ROCm and PyTorch
-    pre-installed.
-
-  - ROCm PyTorch repository: `<https://github.com/ROCm/pytorch>`__
-
-  - See the :doc:`ROCm PyTorch installation guide <rocm-install-on-linux:install/3rd-party/pytorch-install>` to get started.
-
-- Official PyTorch release:
-
-  - Provides the latest stable version of PyTorch but doesn't immediately support the latest ROCm version.
-
-  - Official PyTorch repository: `<https://github.com/pytorch/pytorch>`__
-
-  - See the `Nightly and latest stable version installation guide <https://pytorch.org/get-started/locally/>`_
-    or `Previous versions <https://pytorch.org/get-started/previous-versions/>`_ to get started.
-
-The upstream PyTorch includes an automatic HIPification solution that automatically generates HIP
-source code from the CUDA backend. This approach allows PyTorch to support ROCm without requiring
-manual code modifications.
-
-Development of ROCm is aligned with the stable release of PyTorch while upstream PyTorch testing uses
-the stable release of ROCm to maintain consistency.
-
-.. _pytorch-docker-compat:
-
-Docker image compatibility
-================================================================================
-
-.. |docker-icon| raw:: html
-
-   <i class="fab fa-docker"></i>
-
-AMD validates and publishes ready-made `PyTorch <https://hub.docker.com/r/rocm/pytorch>`_
-images with ROCm backends on Docker Hub. The following Docker image tags and
-associated inventories are validated for `ROCm 6.3.0 <https://repo.radeon.com/rocm/apt/6.3/>`_.
-Click the |docker-icon| icon to view the image on Docker Hub.
-
-.. list-table:: PyTorch Docker image components
-    :header-rows: 1
-    :class: docker-image-compatibility
-
-    * - Docker
-      - PyTorch
-      - Ubuntu
-      - Python
-      - Apex
-      - torchvision
-      - TensorBoard
-      - MAGMA
-      - UCX
-      - OMPI
-      - OFED
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu24.04_py3.12_pytorch_release_2.4.0/images/sha256-98ddf20333bd01ff749b8092b1190ee369a75d3b8c71c2fac80ffdcb1a98d529?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
-      - 24.04
-      - `3.12 <https://www.python.org/downloads/release/python-3128/>`_
-      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
-      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.10_pytorch_release_2.4.0/images/sha256-402c9b4f1a6b5a81c634a1932b56cbe01abb699cfcc7463d226276997c6cf8ea?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
-      - 22.04
-      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
-      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
-      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.9_pytorch_release_2.4.0/images/sha256-e0608b55d408c3bfe5c19fdd57a4ced3e0eb3a495b74c309980b60b156c526dd?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
-      - 22.04
-      - `3.9 <https://www.python.org/downloads/release/python-3918/>`_
-      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
-      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-652cf25263d05b1de548222970aeb76e60b12de101de66751264709c0d0ff9d8?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
-      - 22.04
-      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
-      - `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
-      - `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
-      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.10_pytorch_release_2.2.1/images/sha256-051976f26beab8f9aa65d999e3ad546c027b39240a0cc3ee81b114a9024f2912?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.2.1 <https://github.com/ROCm/pytorch/tree/release/2.2>`_
-      - 22.04
-      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
-      - `1.2.0 <https://github.com/ROCm/apex/tree/release/1.2.0>`_
-      - `0.17.1 <https://github.com/pytorch/vision/tree/v0.17.1>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
-      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu20.04_py3.9_pytorch_release_2.2.1/images/sha256-88c839a364d109d3748c100385bfa100d28090d25118cc723fd0406390ab2f7e?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.2.1 <https://github.com/ROCm/pytorch/tree/release/2.2>`_
-      - 20.04
-      - `3.9 <https://www.python.org/downloads/release/python-3921/>`_
-      - `1.2.0 <https://github.com/ROCm/apex/tree/release/1.2.0>`_
-      - `0.17.1 <https://github.com/pytorch/vision/tree/v0.17.1>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.9_pytorch_release_1.13.1/images/sha256-994424ed07a63113f79dd9aa72159124c00f5fbfe18127151e6658f7d0b6f821?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
-      - 22.04
-      - `3.9 <https://www.python.org/downloads/release/python-3921/>`_
-      - `1.0.0 <https://github.com/ROCm/apex/tree/release/1.0.0>`_
-      - `0.14.0 <https://github.com/pytorch/vision/tree/v0.14.0>`_
-      - `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
-      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu20.04_py3.9_pytorch_release_1.13.1/images/sha256-7b8139fe40a9aeb4bca3aecd15c22c1fa96e867d93479fa3a24fdeeeeafa1219?context=explore"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
-      - 20.04
-      - `3.9 <https://www.python.org/downloads/release/python-3921/>`_
-      - `1.0.0 <https://github.com/ROCm/apex/tree/release/1.0.0>`_
-      - `0.14.0 <https://github.com/pytorch/vision/tree/v0.14.0>`_
-      - `2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-Critical ROCm libraries for PyTorch
-================================================================================
-
-The functionality of PyTorch with ROCm is determined by its underlying library
-dependencies. These critical ROCm components affect the capabilities,
-performance, and feature set available to developers.
-
-.. list-table::
-    :header-rows: 1
-
-    * - ROCm library
-      - Version
-      - Purpose
-      - Used in
-    * - `Composable Kernel <https://github.com/ROCm/composable_kernel>`_
-      - 1.1.0
-      - Enables faster execution of core operations like matrix multiplication
-        (GEMM), convolutions and transformations.
-      - Speeds up ``torch.permute``, ``torch.view``, ``torch.matmul``,
-        ``torch.mm``, ``torch.bmm``, ``torch.nn.Conv2d``, ``torch.nn.Conv3d``
-        and ``torch.nn.MultiheadAttention``. 
-    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
-      - 2.3.0
-      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
-        matrix and vector operations.
-      - Supports operations like matrix multiplication, matrix-vector products,
-        and tensor contractions. Utilized in both dense and batched linear
-        algebra operations.
-    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
-      - 0.10.0
-      - 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.
-      - It accelerates operations like ``torch.matmul``, ``torch.mm``, and the
-        matrix multiplications used in convolutional and linear layers.
-    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms for reduction,
-        scan, sort and select.
-      - Supports operations like ``torch.sum``, ``torch.cumsum``, ``torch.sort``
-        and ``torch.topk``. Operations on sparse tensors or tensors with
-        irregular shapes often involve scanning, sorting, and filtering, which
-        hipCUB handles efficiently.
-    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
-      - 1.0.17
-      - Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
-      - Used in functions like the ``torch.fft`` module.
-    * - `hipRAND <https://github.com/ROCm/hipRAND>`_
-      - 2.11.0
-      - Provides fast random number generation for GPUs.
-      - The ``torch.rand``, ``torch.randn`` and stochastic layers like 
-        ``torch.nn.Dropout``.
-    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
-      - 2.3.0
-      - Provides GPU-accelerated solvers for linear systems, eigenvalues, and
-        singular value decompositions (SVD).
-      - Supports functions like ``torch.linalg.solve``,
-        ``torch.linalg.eig``, and ``torch.linalg.svd``.
-    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
-      - 3.1.2
-      - Accelerates operations on sparse matrices, such as sparse matrix-vector
-        or matrix-matrix products.
-      - Sparse tensor operations ``torch.sparse``.
-    * - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
-      - 0.2.2
-      - Accelerates operations on sparse matrices, such as sparse matrix-vector
-        or matrix-matrix products.
-      - Sparse tensor operations ``torch.sparse``.
-    * - `hipTensor <https://github.com/ROCm/hipTensor>`_
-      - 1.4.0
-      - Optimizes for high-performance tensor operations, such as contractions.
-      - Accelerates tensor algebra, especially in deep learning and scientific
-        computing.
-    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
-      - 3.3.0
-      - Optimizes deep learning primitives such as convolutions, pooling,
-        normalization, and activation functions.
-      - Speeds up convolutional neural networks (CNNs), recurrent neural
-        networks (RNNs), and other layers. Used in operations like
-        ``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
-    * - `MIGraphX <https://github.com/ROCm/AMDMIGraphX>`_
-      - 2.11.0
-      - Adds graph-level optimizations, ONNX models and mixed precision support
-        and enable Ahead-of-Time (AOT) Compilation.
-      - Speeds up inference models and executes ONNX models for
-        compatibility with other frameworks.
-        ``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
-    * - `MIVisionX <https://github.com/ROCm/MIVisionX>`_
-      - 3.1.0
-      - Optimizes acceleration for computer vision and AI workloads like
-        preprocessing, augmentation, and inferencing.
-      - Faster data preprocessing and augmentation pipelines for datasets like
-        ImageNet or COCO and easy to integrate into PyTorch's ``torch.utils.data``
-        and ``torchvision`` workflows.
-    * - `rocAL <https://github.com/ROCm/rocAL>`_
-      - 2.1.0
-      - Accelerates the data pipeline by offloading intensive preprocessing and
-        augmentation tasks. rocAL is part of MIVisionX.
-      - Easy to integrate into PyTorch's ``torch.utils.data`` and
-        ``torchvision`` data load workloads.
-    * - `RCCL <https://github.com/ROCm/rccl>`_
-      - 2.21.5
-      - Optimizes for multi-GPU communication for operations like AllReduce and
-        Broadcast.
-      - Distributed data parallel training (``torch.nn.parallel.DistributedDataParallel``).
-        Handles communication in multi-GPU setups.
-    * - `rocDecode <https://github.com/ROCm/rocDecode>`_
-      - 0.8.0
-      - Provides hardware-accelerated data decoding capabilities, particularly
-        for image, video, and other dataset formats.
-      - Can be integrated in ``torch.utils.data``, ``torchvision.transforms``
-        and ``torch.distributed``.
-    * - `rocJPEG <https://github.com/ROCm/rocJPEG>`_
-      - 0.6.0
-      - Provides hardware-accelerated JPEG image decoding and encoding.
-      - GPU accelerated ``torchvision.io.decode_jpeg`` and
-        ``torchvision.io.encode_jpeg`` and can be integrated in
-        ``torch.utils.data`` and ``torchvision``.
-    * - `RPP <https://github.com/ROCm/RPP>`_
-      - 1.9.1
-      - Speeds up data augmentation, transformation, and other preprocessing steps.
-      - Easy to integrate into PyTorch's ``torch.utils.data`` and
-        ``torchvision`` data load workloads.
-    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms like sorting,
-        reduction, and scanning.
-      - Utilized in backend operations for tensor computations requiring
-        parallel processing.
-    * - `rocWMMA <https://github.com/ROCm/rocWMMA>`_
-      - 1.6.0
-      - Accelerates warp-level matrix-multiply and matrix-accumulate to speed up matrix
-        multiplication (GEMM) and accumulation operations with mixed precision
-        support.
-      - Linear layers (``torch.nn.Linear``), convolutional layers
-        (``torch.nn.Conv2d``), attention layers, general tensor operations that
-        involve matrix products, such as ``torch.matmul``, ``torch.bmm``, and
-        more.
-
-Supported and unsupported features
-================================================================================
-
-The following section maps GPU-accelerated PyTorch features to their supported
-ROCm and PyTorch versions.
-
-torch
---------------------------------------------------------------------------------
-
-`torch <https://pytorch.org/docs/stable/index.html>`_ is the central module of
-PyTorch, providing data structures for multi-dimensional tensors and
-implementing mathematical operations on them. It also includes utilities for
-efficient serialization of tensors and arbitrary data types, along with various
-other tools.
-
-Tensor data types
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The data type of a tensor is specified using the ``dtype`` attribute or argument, and PyTorch supports a wide range of data types for different use cases.
-
-The following table lists `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_'s single data types:
-
-.. list-table::
-    :header-rows: 1
-
-    * - Data type
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - ``torch.float8_e4m3fn``
-      - 8-bit floating point, e4m3
-      - 2.3
-      - 5.5
-    * - ``torch.float8_e5m2``
-      - 8-bit floating point, e5m2
-      - 2.3
-      - 5.5
-    * - ``torch.float16`` or ``torch.half``
-      - 16-bit floating point
-      - 0.1.6
-      - 2.0
-    * - ``torch.bfloat16``
-      - 16-bit floating point
-      - 1.6
-      - 2.6
-    * - ``torch.float32`` or ``torch.float``
-      - 32-bit floating point
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.float64`` or ``torch.double``
-      - 64-bit floating point
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.complex32`` or ``torch.chalf``
-      - PyTorch provides native support for 32-bit complex numbers
-      - 1.6
-      - 2.0
-    * - ``torch.complex64`` or ``torch.cfloat``
-      - PyTorch provides native support for 64-bit complex numbers
-      - 1.6
-      - 2.0
-    * - ``torch.complex128`` or ``torch.cdouble``
-      - PyTorch provides native support for 128-bit complex numbers
-      - 1.6
-      - 2.0
-    * - ``torch.uint8``
-      - 8-bit integer (unsigned)
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.uint16``
-      - 16-bit integer (unsigned)
-      - 2.3
-      - Not natively supported
-    * - ``torch.uint32``
-      - 32-bit integer (unsigned)
-      - 2.3
-      - Not natively supported
-    * - ``torch.uint64``
-      - 32-bit integer (unsigned)
-      - 2.3
-      - Not natively supported
-    * - ``torch.int8``
-      - 8-bit integer (signed)
-      - 1.12
-      - 5.0
-    * - ``torch.int16`` or ``torch.short``
-      - 16-bit integer (signed)
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.int32`` or ``torch.int``
-      - 32-bit integer (signed)
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.int64`` or ``torch.long``
-      - 64-bit integer (signed)
-      - 0.1.12_2
-      - 2.0
-    * - ``torch.bool``
-      - Boolean
-      - 1.2
-      - 2.0
-    * - ``torch.quint8``
-      - Quantized 8-bit integer (unsigned)
-      - 1.8
-      - 5.0
-    * - ``torch.qint8``
-      - Quantized 8-bit integer (signed)
-      - 1.8
-      - 5.0
-    * - ``torch.qint32``
-      - Quantized 32-bit integer (signed)
-      - 1.8
-      - 5.0
-    * - ``torch.quint4x2``
-      - Quantized 4-bit integer (unsigned)
-      - 1.8
-      - 5.0
-
-.. note::
-
-  Unsigned types aside from ``uint8`` are currently only have limited support in
-  eager mode (they primarily exist to assist usage with ``torch.compile``).
-
-  The :doc:`ROCm precision support page <rocm:reference/precision-support>`
-  collected the native HW support of different data types.
-
-torch.cuda
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-``torch.cuda`` in PyTorch is a module that provides utilities and functions for
-managing and utilizing AMD and NVIDIA GPUs. It enables GPU-accelerated
-computations, memory management, and efficient execution of tensor operations,
-leveraging ROCm and CUDA as the underlying frameworks.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - Device management
-      - Utilities for managing and interacting with GPUs.
-      - 0.4.0
-      - 3.8
-    * - Tensor operations on GPU
-      - Performs tensor operations such as addition and matrix multiplications on
-        the GPU.
-      - 0.4.0
-      - 3.8
-    * - Streams and events
-      - Streams allow overlapping computation and communication for optimized
-        performance. Events enable synchronization.
-      - 1.6.0
-      - 3.8
-    * - Memory management
-      - Functions to manage and inspect memory usage like
-        ``torch.cuda.memory_allocated()``, ``torch.cuda.max_memory_allocated()``,
-        ``torch.cuda.memory_reserved()`` and ``torch.cuda.empty_cache()``.
-      - 0.3.0
-      - 1.9.2
-    * - Running process lists of memory management
-      - Returns a human-readable printout of the running processes and their GPU
-        memory use for a given device with functions like
-        ``torch.cuda.memory_stats()`` and ``torch.cuda.memory_summary()``.
-      - 1.8.0
-      - 4.0
-    * - Communication collectives
-      - Set of APIs that enable efficient communication between multiple GPUs,
-        allowing for distributed computing and data parallelism.
-      - 1.9.0
-      - 5.0
-    * - ``torch.cuda.CUDAGraph``
-      - Graphs capture sequences of GPU operations to minimize kernel launch
-        overhead and improve performance.
-      - 1.10.0
-      - 5.3
-    * - TunableOp
-      - A mechanism that allows certain operations to be more flexible and
-        optimized for performance. It enables automatic tuning of kernel
-        configurations and other settings to achieve the best possible
-        performance based on the specific hardware (GPU) and workload.
-      - 2.0
-      - 5.4
-    * - NVIDIA Tools Extension (NVTX)
-      - Integration with NVTX for profiling and debugging GPU performance using
-        NVIDIA's Nsight tools.
-      - 1.8.0
-      - ❌
-    * - Lazy loading NVRTC
-      - Delays JIT compilation with NVRTC until the code is explicitly needed.
-      - 1.13.0
-      - ❌
-    * - Jiterator (beta)
-      - Jiterator allows asynchronous data streaming into computation streams
-        during training loops.
-      - 1.13.0
-      - 5.2
-
-.. Need to validate and extend.
-
-torch.backends.cuda
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-``torch.backends.cuda`` is a PyTorch module that provides configuration options
-and flags to control the behavior of ROCm or CUDA operations. It is part of the
-PyTorch backend configuration system, which allows users to fine-tune how
-PyTorch interacts with the ROCm or CUDA environment.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - ``cufft_plan_cache``
-      - Manages caching of GPU FFT plans to optimize repeated FFT computations.
-      - 1.7.0
-      - 5.0
-    * - ``matmul.allow_tf32``
-      - Enables or disables the use of TensorFloat-32 (TF32) precision for
-        faster matrix multiplications on GPUs with Tensor Cores.
-      - 1.10.0
-      - ❌
-    * - ``matmul.allow_fp16_reduced_precision_reduction``
-      - Reduced precision reductions (e.g., with fp16 accumulation type) are
-        allowed with fp16 GEMMs.
-      - 2.0
-      - ❌
-    * - ``matmul.allow_bf16_reduced_precision_reduction``
-      - Reduced precision reductions are allowed with bf16 GEMMs.
-      - 2.0
-      - ❌
-    * - ``enable_cudnn_sdp``
-      - Globally enables cuDNN SDPA's kernels within SDPA.
-      - 2.0
-      - ❌
-    * - ``enable_flash_sdp``
-      - Globally enables or disables FlashAttention for SDPA.
-      - 2.1
-      - ❌
-    * - ``enable_mem_efficient_sdp``
-      - Globally enables or disables Memory-Efficient Attention for SDPA.
-      - 2.1
-      - ❌
-    * - ``enable_math_sdp``
-      - Globally enables or disables the PyTorch C++ implementation within SDPA.
-      - 2.1
-      - ❌
-
-.. Need to validate and extend.
-
-torch.backends.cudnn
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Supported ``torch`` options include:
-
-.. list-table::
-    :header-rows: 1
-
-    * - Option
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - ``allow_tf32``
-      - TensorFloat-32 tensor cores may be used in cuDNN convolutions on NVIDIA
-        Ampere or newer GPUs.
-      - 1.12.0
-      - ❌
-    * - ``deterministic``
-      - A bool that, if True, causes cuDNN to only use deterministic
-        convolution algorithms.
-      - 1.12.0
-      - 6.0
-
-Automatic mixed precision: torch.amp
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-PyTorch that automates the process of using both 16-bit (half-precision,
-float16) and 32-bit (single-precision, float32) floating-point types in model
-training and inference.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - Autocasting
-      - Instances of autocast serve as context managers or decorators that allow
-        regions of your script to run in mixed precision.
-      - 1.9
-      - 2.5
-    * - Gradient scaling
-      - To prevent underflow, “gradient scaling” multiplies the network’s
-        loss(es) by a scale factor and invokes a backward pass on the scaled
-        loss(es). Gradients flowing backward through the network are then
-        scaled by the same factor. In other words, gradient values have a
-        larger magnitude, so they don’t flush to zero.
-      - 1.9
-      - 2.5
-    * - CUDA op-specific behavior
-      - These ops always go through autocasting whether they are invoked as part
-        of a ``torch.nn.Module``, as a function, or as a ``torch.Tensor`` method. If
-        functions are exposed in multiple namespaces, they go through
-        autocasting regardless of the namespace.
-      - 1.9
-      - 2.5
-
-Distributed library features
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The PyTorch distributed library includes a collective of parallelism modules, a
-communications layer, and infrastructure for launching and debugging large
-training jobs. See :ref:`rocm-for-ai-pytorch-distributed` for more information.
-
-The Distributed Library feature in PyTorch provides tools and APIs for building
-and running distributed machine learning workflows. It allows training models
-across multiple processes, GPUs, or nodes in a cluster, enabling efficient use
-of computational resources and scalability for large-scale tasks.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - TensorPipe
-      - A point-to-point communication library integrated into
-        PyTorch for distributed training. It is designed to handle tensor data
-        transfers efficiently between different processes or devices, including
-        those on separate machines.
-      - 1.8
-      - 5.4
-    * - Gloo
-      - Designed for multi-machine and multi-GPU setups, enabling
-        efficient communication and synchronization between processes. Gloo is
-        one of the default backends for PyTorch's Distributed Data Parallel
-        (DDP) and RPC frameworks, alongside other backends like NCCL and MPI.
-      - 1.0
-      - 2.0
-
-torch.compiler
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-      - Since ROCm
-    * - ``torch.compiler`` (AOT Autograd)
-      - Autograd captures not only the user-level code, but also backpropagation,
-        which results in capturing the backwards pass “ahead-of-time”. This
-        enables acceleration of both forwards and backwards pass using
-        ``TorchInductor``.
-      - 2.0
-      - 5.3
-    * - ``torch.compiler`` (TorchInductor)
-      - The default ``torch.compile`` deep learning compiler that generates fast
-        code for multiple accelerators and backends. You need to use a backend
-        compiler to make speedups through ``torch.compile`` possible. For AMD,
-        NVIDIA, and Intel GPUs, it leverages OpenAI Triton as the key building block.
-      - 2.0
-      - 5.3
-
-torchaudio
---------------------------------------------------------------------------------
-
-The `torchaudio <https://pytorch.org/audio/stable/index.html>`_ library provides
-utilities for processing audio data in PyTorch, such as audio loading,
-transformations, and feature extraction.
-
-To ensure GPU-acceleration with ``torchaudio.transforms``, you need to move audio
-data (waveform tensor) explicitly to GPU using ``.to('cuda')``.
-
-The following ``torchaudio`` features are GPU-accelerated.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since torchaudio version
-      - Since ROCm
-    * - ``torchaudio.transforms.Spectrogram``
-      - Generates spectrogram of an input waveform using STFT.
-      - 0.6.0
-      - 4.5
-    * - ``torchaudio.transforms.MelSpectrogram``
-      - Generates the mel-scale spectrogram of raw audio signals.
-      - 0.9.0
-      - 4.5
-    * - ``torchaudio.transforms.MFCC``
-      - Extract of MFCC features.
-      - 0.9.0
-      - 4.5
-    * - ``torchaudio.transforms.Resample``
-      - Resamples a signal from one frequency to another.
-      - 0.9.0
-      - 4.5
-
-torchvision
---------------------------------------------------------------------------------
-
-The `torchvision <https://pytorch.org/vision/stable/index.html>`_ library
-provide datasets, model architectures, and common image transformations for
-computer vision.
-
-The following ``torchvision`` features are GPU-accelerated.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since torchvision version
-      - Since ROCm
-    * - ``torchvision.transforms.functional``
-      - Provides GPU-compatible transformations for image preprocessing like
-        resize, normalize, rotate and crop.
-      - 0.2.0
-      - 4.0
-    * - ``torchvision.ops``
-      - GPU-accelerated operations for object detection and segmentation tasks.
-        ``torchvision.ops.roi_align``, ``torchvision.ops.nms`` and
-        ``box_convert``.
-      - 0.6.0
-      - 3.3
-    * - ``torchvision.models`` with ``.to('cuda')``
-      - ``torchvision`` provides several pre-trained models (ResNet, Faster
-        R-CNN, Mask R-CNN, ...) that can run on CUDA for faster inference and
-        training.
-      - 0.1.6
-      - 2.x
-    * - ``torchvision.io``
-      - Enables video decoding and frame extraction using GPU acceleration with NVIDIA’s
-        NVDEC and nvJPEG (rocJPEG) on CUDA-enabled GPUs.
-      - 0.4.0
-      - 6.3
-
-torchtext
---------------------------------------------------------------------------------
-
-The `torchtext <https://pytorch.org/text/stable/index.html>`_ library provides
-utilities for processing and working with text data in PyTorch, including
-tokenization, vocabulary management, and text embeddings. torchtext supports
-preprocessing pipelines and integration with PyTorch models, simplifying the
-implementation of natural language processing (NLP) tasks.
-
-To leverage GPU acceleration in torchtext, you need to move tensors
-explicitly to the GPU using ``.to('cuda')``.
-
-* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
-
-* Only official release exists.
-
-torchtune
---------------------------------------------------------------------------------
-
-The `torchtune <https://pytorch.org/torchtune/stable/index.html>`_ library for
-authoring, fine-tuning and experimenting with LLMs.
-
-* Usage: It works out-of-the-box, enabling developers to fine-tune ROCm PyTorch solutions.
-
-* Only official release exists.
-
-torchserve
---------------------------------------------------------------------------------
-
-The `torchserve <https://pytorch.org/torchserve/>`_ is a PyTorch domain library
-for common sparsity and parallelism primitives needed for large-scale recommender
-systems.
-
-* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
-
-* Only official release exists.
-
-torchrec
---------------------------------------------------------------------------------
-
-The `torchrec <https://pytorch.org/torchrec/>`_ is a PyTorch domain library for
-common sparsity and parallelism primitives needed for large-scale recommender
-systems.
-
-* torchrec does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
-
-* Only official release exists.
-
-Unsupported PyTorch features
-----------------------------
-
-The following are GPU-accelerated PyTorch features not currently supported by ROCm.
-
-.. list-table::
-    :widths: 30, 60, 10
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since PyTorch
-    * - APEX batch norm
-      - Use APEX batch norm instead of PyTorch batch norm.
-      - 1.6.0
-    * - ``torch.backends.cuda`` / ``matmul.allow_tf32``
-      - A bool that controls whether TensorFloat-32 tensor cores may be used in
-        matrix multiplications.
-      - 1.7
-    * - ``torch.cuda`` / NVIDIA Tools Extension (NVTX)
-      - Integration with NVTX for profiling and debugging GPU performance using
-        NVIDIA's Nsight tools.
-      - 1.7.0
-    * - ``torch.cuda`` / Lazy loading NVRTC
-      - Delays JIT compilation with NVRTC until the code is explicitly needed.
-      - 1.8.0
-    * - ``torch-tensorrt``
-      - Integrate TensorRT library for optimizing and deploying PyTorch models.
-        ROCm does not have equialent library for TensorRT.
-      - 1.9.0
-    * - ``torch.backends`` / ``cudnn.allow_tf32``
-      - TensorFloat-32 tensor cores may be used in cuDNN convolutions.
-      - 1.10.0
-    * - ``torch.backends.cuda`` / ``matmul.allow_fp16_reduced_precision_reduction``
-      - Reduced precision reductions with fp16 accumulation type are
-        allowed with fp16 GEMMs.
-      - 2.0
-    * - ``torch.backends.cuda`` / ``matmul.allow_bf16_reduced_precision_reduction``
-      - Reduced precision reductions are allowed with bf16 GEMMs.
-      - 2.0
-    * - ``torch.nn.functional`` / ``scaled_dot_product_attention`` 
-      - Flash attention backend for SDPA to accelerate attention computation in
-        transformer-based models.
-      - 2.0
-    * - ``torch.backends.cuda`` / ``enable_cudnn_sdp``
-      - Globally enables cuDNN SDPA's kernels within SDPA.
-      - 2.0
-    * - ``torch.backends.cuda`` / ``enable_flash_sdp``
-      - Globally enables or disables FlashAttention for SDPA.
-      - 2.1
-    * - ``torch.backends.cuda`` / ``enable_mem_efficient_sdp``
-      - Globally enables or disables Memory-Efficient Attention for SDPA.
-      - 2.1
-    * - ``torch.backends.cuda`` / ``enable_math_sdp``
-      - Globally enables or disables the PyTorch C++ implementation within SDPA.
-      - 2.1
-    * - Dynamic parallelism
-      - PyTorch itself does not directly expose dynamic parallelism as a core
-        feature. Dynamic parallelism allow GPU threads to launch additional
-        threads which can be reached using custom operations via the
-        ``torch.utils.cpp_extension`` module.
-      - Not a core feature
-    * - Unified memory support in PyTorch
-      - Unified Memory is not directly exposed in PyTorch's core API, it can be
-        utilized effectively through custom CUDA extensions or advanced
-        workflows.
-      - Not a core feature
-
-Use cases and recommendations
-================================================================================
-
-* :doc:`Using ROCm for AI: training a model </how-to/rocm-for-ai/training/train-a-model>` provides
-  guidance on how to leverage the ROCm platform for training AI models. It covers the steps, tools, and best practices
-  for optimizing training workflows on AMD GPUs using PyTorch features.
-
-* :doc:`Single-GPU fine-tuning and inference </how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference>`
-  describes and demonstrates how to use the ROCm platform for the fine-tuning and inference of
-  machine learning models, particularly large language models (LLMs), on systems with a single AMD
-  Instinct MI300X accelerator. This page provides a detailed guide for setting up, optimizing, and
-  executing fine-tuning and inference workflows in such environments.
-
-* :doc:`Multi-GPU fine-tuning and inference optimization </how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference>`
-  describes and demonstrates the fine-tuning and inference of machine learning models on systems
-  with multi MI300X accelerators.
-
-* The :doc:`Instinct MI300X workload optimization guide </how-to/rocm-for-ai/inference-optimization/workload>` provides detailed
-  guidance on optimizing workloads for the AMD Instinct MI300X accelerator using ROCm. This guide is aimed at helping
-  users achieve optimal performance for deep learning and other high-performance computing tasks on the MI300X
-  accelerator.
-
-* The :doc:`Inception with PyTorch documentation </conceptual/ai-pytorch-inception>`
-  describes how PyTorch integrates with ROCm for AI workloads It outlines the use of PyTorch on the ROCm platform and
-  focuses on how to efficiently leverage AMD GPU hardware for training and inference tasks in AI applications.
-
-For more use cases and recommendations, see `ROCm PyTorch blog posts <https://rocm.blogs.amd.com/blog/tag/pytorch.html>`_.

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

@@ -1,489 +0,0 @@
-.. meta::
-    :description: TensorFlow compatibility
-    :keywords: GPU, TensorFlow compatibility
-
-*******************************************************************************
-TensorFlow compatibility
-*******************************************************************************
-
-`TensorFlow <https://www.tensorflow.org/>`_ is an open-source library for
-solving machine learning, deep learning, and AI problems. It can solve many
-problems across different sectors and industries but primarily focuses on
-neural network training and inference. It is one of the most popular and
-in-demand frameworks and is very active in open-source contribution and
-development.
-
-The `official TensorFlow repository <http://github.com/tensorflow/tensorflow>`_
-includes full ROCm support. AMD maintains a TensorFlow `ROCm repository
-<http://github.com/rocm/tensorflow-upstream>`_ in order to quickly add bug
-fixes, updates, and support for the latest ROCM versions.
-
-- ROCm TensorFlow release:
-
-  - Offers :ref:`Docker images <tensorflow-docker-compat>` with
-    ROCm and TensorFlow pre-installed.
-
-  - ROCm TensorFlow repository: `<https://github.com/ROCm/tensorflow-upstream>`_
-
-  - See the :doc:`ROCm TensorFlow installation guide <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
-    to get started.
-
-- Official TensorFlow release:
-
-  - Official TensorFlow repository: `<https://github.com/tensorflow/tensorflow>`_
-
-  - See the `TensorFlow API versions <https://www.tensorflow.org/versions>`_ list.
-
-  .. note::
-
-     The official TensorFlow documentation does not cover ROCm support. Use the
-     ROCm documentation for installation instructions for Tensorflow on ROCm.
-     See :doc:`rocm-install-on-linux:install/3rd-party/tensorflow-install`.
-
-.. _tensorflow-docker-compat:
-
-Docker image compatibility
-===============================================================================
-
-.. |docker-icon| raw:: html
-
-   <i class="fab fa-docker"></i>
-
-AMD validates and publishes ready-made `TensorFlow
-<https://hub.docker.com/r/rocm/tensorflow>`_ images with ROCm backends on
-Docker Hub. The following Docker image tags and associated inventories are
-validated for `ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. Click
-the |docker-icon| icon to view the image on Docker Hub.
-
-.. list-table:: TensorFlow Docker image components
-    :header-rows: 1
-
-    * - Docker image
-      - TensorFlow
-      - Dev
-      - Python
-      - TensorBoard 
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.12-tf2.17.0-dev/images/sha256-804121ee4985718277ba7dcec53c57bdade130a1ef42f544b6c48090ad379c17"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
-      - `tensorflow-rocm 2.17.0 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.17.0-cp312-cp312-manylinux_2_28_x86_64.whl>`_
-      - dev
-      - `Python 3.12 <https://www.python.org/downloads/release/python-3124/>`_
-      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.17.0-dev/images/sha256-776837ffa945913f6c466bfe477810a11453d21d5b6afb200be1c36e48fbc08e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
-      - `tensorflow-rocm 2.17.0 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.17.0-cp310-cp310-manylinux_2_28_x86_64.whl>`_
-      - dev
-      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
-      - `TensorBoard 2.17.0 <https://github.com/tensorflow/tensorboard/tree/2.17.0>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.12-tf2.16.2-dev/images/sha256-c793e1483e30809c3c28fc5d7805bedc033c73da224f839fff370717cb100944"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
-      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`_
-      - dev
-      - `Python 3.12 <https://www.python.org/downloads/release/python-3124/>`_
-      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.16.0-dev/images/sha256-263e78414ae85d7bcd52a025a94131d0a279872a45ed632b9165336dfdcd4443"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
-      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.16.2-cp310-cp310-manylinux_2_28_x86_64.whl>`_
-      - dev
-      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
-      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.15.0-dev/images/sha256-479046a8477ca701a9494a813ab17e8ab4f6baa54641e65dc8d07629f1e6a880"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
-      - `tensorflow-rocm 2.15.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.15.1-cp310-cp310-manylinux_2_28_x86_64.whl>`_
-      - dev
-      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
-      - `TensorBoard 2.15.2 <https://github.com/tensorflow/tensorboard/tree/2.15.2>`_
-
-Critical ROCm libraries for TensorFlow
-===============================================================================
-
-TensorFlow depends on multiple components and the supported features of those
-components can affect the TensorFlow ROCm supported feature set. The versions
-in the following table refer to the first TensorFlow version where the ROCm
-library was introduced as a dependency.
-
-.. list-table::
-    :widths: 25, 10, 35, 30
-    :header-rows: 1
-
-    * - ROCm library
-      - Version
-      - Purpose
-      - Used in
-    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
-      - 2.3.0
-      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
-        matrix and vector operations.
-      - Accelerates operations like ``tf.matmul``, ``tf.linalg.matmul``, and
-        other matrix multiplications commonly used in neural network layers.
-    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
-      - 0.10.0
-      - Extends hipBLAS with additional optimizations like fused kernels and
-        integer tensor cores.
-      - Optimizes matrix multiplications and linear algebra operations used in
-        layers like dense, convolutional, and RNNs in TensorFlow.
-    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms for reduction,
-        scan, sort and select.
-      - Supports operations like ``tf.reduce_sum``, ``tf.cumsum``, ``tf.sort``
-        and other tensor operations in TensorFlow, especially those involving
-        scanning, sorting, and filtering.
-    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
-      - 1.0.17
-      - Accelerates Fast Fourier Transforms (FFT) for signal processing tasks.
-      - Used for operations like signal processing, image filtering, and
-        certain types of neural networks requiring FFT-based transformations.
-    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
-      - 2.3.0
-      - Provides GPU-accelerated direct linear solvers for dense and sparse
-        systems.
-      - Optimizes linear algebra functions such as solving systems of linear
-        equations, often used in optimization and training tasks.
-    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
-      - 3.1.2
-      - Optimizes sparse matrix operations for efficient computations on sparse
-        data.
-      - Accelerates sparse matrix operations in models with sparse weight
-        matrices or activations, commonly used in neural networks.
-    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
-      - 3.3.0
-      - Provides optimized deep learning primitives such as convolutions,
-        pooling,
-        normalization, and activation functions.
-      - Speeds up convolutional neural networks (CNNs) and other layers. Used
-        in TensorFlow for layers like ``tf.nn.conv2d``, ``tf.nn.relu``, and
-        ``tf.nn.lstm_cell``.
-    * - `RCCL <https://github.com/ROCm/rccl>`_
-      - 2.21.5
-      - Optimizes for multi-GPU communication for operations like AllReduce and
-        Broadcast.
-      - Distributed data parallel training (``tf.distribute.MirroredStrategy``).
-        Handles communication in multi-GPU setups.
-    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
-      - 3.3.0
-      - Provides a C++ template library for parallel algorithms like sorting,
-        reduction, and scanning.
-      - Reduction operations like ``tf.reduce_sum``, ``tf.cumsum`` for computing
-        the cumulative sum of elements along a given axis or ``tf.unique`` to
-        finds unique elements in a tensor can use rocThrust.
-
-Supported and unsupported features
-===============================================================================
-
-The following section maps supported data types and GPU-accelerated TensorFlow
-features to their minimum supported ROCm and TensorFlow versions.
-
-Data types
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-The data type of a tensor is specified using the ``dtype`` attribute or
-argument, and TensorFlow supports a wide range of data types for different use
-cases.
-
-The basic, single data types of `tf.dtypes <https://www.tensorflow.org/api_docs/python/tf/dtypes>`_
-are as follows:
-
-.. list-table::
-    :header-rows: 1
-
-    * - Data type
-      - Description
-      - Since TensorFlow
-      - Since ROCm
-    * - ``bfloat16``
-      - 16-bit bfloat (brain floating point).
-      - 1.0.0
-      - 1.7
-    * - ``bool``
-      - Boolean.
-      - 1.0.0
-      - 1.7
-    * - ``complex128``
-      - 128-bit complex.
-      - 1.0.0
-      - 1.7
-    * - ``complex64``
-      - 64-bit complex.
-      - 1.0.0
-      - 1.7
-    * - ``double``
-      - 64-bit (double precision) floating-point.
-      - 1.0.0
-      - 1.7
-    * - ``float16``
-      - 16-bit (half precision) floating-point.
-      - 1.0.0
-      - 1.7
-    * - ``float32``
-      - 32-bit (single precision) floating-point.
-      - 1.0.0
-      - 1.7
-    * - ``float64``
-      - 64-bit (double precision) floating-point.
-      - 1.0.0
-      - 1.7
-    * - ``half``
-      - 16-bit (half precision) floating-point.
-      - 2.0.0
-      - 2.0
-    * - ``int16``
-      - Signed 16-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``int32``
-      - Signed 32-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``int64``
-      - Signed 64-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``int8``
-      - Signed 8-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``qint16``
-      - Signed quantized 16-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``qint32``
-      - Signed quantized 32-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``qint8``
-      - Signed quantized 8-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``quint16``
-      - Unsigned quantized 16-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``quint8``
-      - Unsigned quantized 8-bit integer.
-      - 1.0.0
-      - 1.7
-    * - ``resource``
-      - Handle to a mutable, dynamically allocated resource.
-      - 1.0.0
-      - 1.7
-    * - ``string``
-      - Variable-length string, represented as byte array.
-      - 1.0.0
-      - 1.7
-    * - ``uint16``
-      - Unsigned 16-bit (word) integer.
-      - 1.0.0
-      - 1.7
-    * - ``uint32``
-      - Unsigned 32-bit (dword) integer.
-      - 1.5.0
-      - 1.7
-    * - ``uint64``
-      - Unsigned 64-bit (qword) integer.
-      - 1.5.0
-      - 1.7
-    * - ``uint8``
-      - Unsigned 8-bit (byte) integer.
-      - 1.0.0
-      - 1.7
-    * - ``variant``
-      - Data of arbitrary type (known at runtime).
-      - 1.4.0
-      - 1.7
-
-Features
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-This table provides an overview of key features in TensorFlow and their
-availability in ROCm.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Module
-      - Description
-      - Since TensorFlow
-      - Since ROCm
-    * - ``tf.linalg`` (Linear Algebra)
-      - Operations for matrix and tensor computations, such as
-        ``tf.linalg.matmul`` (matrix multiplication), ``tf.linalg.inv``
-        (matrix inversion) and ``tf.linalg.cholesky`` (Cholesky decomposition).
-        These leverage GPUs for high-performance linear algebra operations.
-      - 1.4
-      - 1.8.2
-    * - ``tf.nn`` (Neural Network Operations)
-      - GPU-accelerated building blocks for deep learning models, such as 2D
-        convolutions with ``tf.nn.conv2d``, max pooling operations with
-        ``tf.nn.max_pool``, activation functions like ``tf.nn.relu`` or softmax
-        for output layers with ``tf.nn.softmax``.
-      - 1.0
-      - 1.8.2
-    * - ``tf.image`` (Image Processing)
-      - GPU-accelerated functions for image preprocessing and augmentations,
-        such as resize images with ``tf.image.resize``, flip images horizontally
-        with ``tf.image.flip_left_right`` and adjust image brightness randomly
-        with ``tf.image.random_brightness``.
-      - 1.1
-      - 1.8.2
-    * - ``tf.keras`` (High-Level API)
-      - GPU acceleration for Keras layers and models, including dense layers
-        (``tf.keras.layers.Dense``), convolutional layers
-        (``tf.keras.layers.Conv2D``) and recurrent layers
-        (``tf.keras.layers.LSTM``).
-      - 1.4
-      - 1.8.2
-    * - ``tf.math`` (Mathematical Operations)
-      - GPU-accelerated mathematical operations, such as sum across dimensions
-        with ``tf.math.reduce_sum``, elementwise exponentiation with
-        ``tf.math.exp`` and sigmoid activation (``tf.math.sigmoid``).
-      - 1.5
-      - 1.8.2
-    * - ``tf.signal`` (Signal Processing)
-      - Functions for spectral analysis and signal transformations.
-      - 1.13
-      - 2.1
-    * - ``tf.data`` (Data Input Pipeline)
-      - GPU-accelerated data preprocessing for efficient input pipelines, 
-        Prefetching with ``tf.data.experimental.AUTOTUNE``. GPU-enabled
-        transformations like map and batch. 
-      - 1.4
-      - 1.8.2
-    * - ``tf.distribute`` (Distributed Training)
-      - Enabling to scale computations across multiple devices on a single
-        machine or across multiple machines.
-      - 1.13
-      - 2.1
-    * - ``tf.random`` (Random Number Generation)
-      - GPU-accelerated random number generation
-      - 1.12
-      - 1.9.2
-    * - ``tf.TensorArray`` (Dynamic Array Operations)
-      - Enables dynamic tensor manipulation on GPUs.
-      - 1.0
-      - 1.8.2
-    * - ``tf.sparse`` (Sparse Tensor Operations)
-      - GPU-accelerated sparse matrix manipulations.
-      - 1.9
-      - 1.9.0
-    * - ``tf.experimental.numpy``
-      - GPU-accelerated NumPy-like API for numerical computations.
-      - 2.4
-      - 4.1.1
-    * - ``tf.RaggedTensor``
-      - Handling of variable-length sequences and ragged tensors with GPU
-        support.
-      - 1.13
-      - 2.1
-    * - ``tf.function`` with XLA (Accelerated Linear Algebra)
-      - Enable GPU-accelerated functions in optimization.
-      - 1.14
-      - 2.4
-    * - ``tf.quantization``
-      - Quantized operations for inference, accelerated on GPUs.
-      - 1.12 
-      - 1.9.2
-
-Distributed library features
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Enables developers to scale computations across multiple devices on a single machine or
-across multiple machines.
-
-.. list-table::
-   :header-rows: 1
-
-   * - Feature
-     - Description
-     - Since TensorFlow
-     - Since ROCm
-   * - ``MultiWorkerMirroredStrategy``
-     - Synchronous training across multiple workers using mirrored variables.
-     - 2.0
-     - 3.0
-   * - ``MirroredStrategy``
-     - Synchronous training across multiple GPUs on one machine.
-     - 1.5
-     - 2.5
-   * - ``TPUStrategy``
-     - Efficiently trains models on Google TPUs.
-     - 1.9
-     - ❌
-   * - ``ParameterServerStrategy``
-     - Asynchronous training using parameter servers for variable management.
-     - 2.1
-     - 4.0
-   * - ``CentralStorageStrategy``
-     - Keeps variables on a single device and performs computation on multiple
-       devices.
-     - 2.3
-     - 4.1
-   * - ``CollectiveAllReduceStrategy``
-     - Synchronous training across multiple devices and hosts.
-     - 1.14
-     - 3.5
-   * - Distribution Strategies API
-     - High-level API to simplify distributed training configuration and
-       execution.
-     - 1.10
-     - 3.0
-
-Unsupported TensorFlow features
-===============================================================================
-
-The following are GPU-accelerated TensorFlow features not currently supported by
-ROCm.
-
-.. list-table::
-    :header-rows: 1
-
-    * - Feature
-      - Description
-      - Since TensorFlow
-    * - Mixed Precision with TF32
-      - Mixed precision with TF32 is used for matrix multiplications,
-        convolutions, and other linear algebra operations, particularly in
-        deep learning workloads like CNNs and transformers.
-      - 2.4
-    * - ``tf.distribute.TPUStrategy``
-      - Efficiently trains models on Google TPUs.
-      - 1.9
-
-Use cases and recommendations
-===============================================================================
-
-* The `Training a Neural Collaborative Filtering (NCF) Recommender on an AMD
-  GPU <https://rocm.blogs.amd.com/artificial-intelligence/ncf/README.html>`_
-  blog post discusses training an NCF recommender system using TensorFlow. It
-  explains how NCF improves traditional collaborative filtering methods by
-  leveraging neural networks to model non-linear user-item interactions. The
-  post outlines the implementation using the recommenders library, focusing on
-  the use of implicit data (for example, user interactions like viewing or
-  purchasing) and how it addresses challenges like the lack of negative values.
-
-* The `Creating a PyTorch/TensorFlow code environment on AMD GPUs
-  <https://rocm.blogs.amd.com/software-tools-optimization/pytorch-tensorflow-env/README.html>`_
-  blog post provides instructions for creating a machine learning environment
-  for PyTorch and TensorFlow on AMD GPUs using ROCm. It covers steps like
-  installing the libraries, cloning code repositories, installing dependencies,
-  and troubleshooting potential issues with CUDA-based code. Additionally, it
-  explains how to HIPify code (port CUDA code to HIP) and manage Docker images
-  for a better experience on AMD GPUs. This guide aims to help data scientists
-  and ML practitioners adapt their code for AMD GPUs.
-
-For more use cases and recommendations, see the `ROCm Tensorflow blog posts <https://rocm.blogs.amd.com/blog/tag/tensorflow.html>`_.

docs/conceptual/More-about-how-ROCm-uses-PCIe-Atomics.rst

@@ -0,0 +1,156 @@
+.. meta::
+   :description: How ROCm uses PCIe atomics
+   :keywords: PCIe, PCIe atomics, atomics, BAR memory, AMD, ROCm
+
+*****************************************************************************
+How ROCm uses PCIe atomics
+*****************************************************************************
+
+ROCm PCIe feature and overview of BAR memory
+================================================================
+
+ROCm is an extension of HSA platform architecture, so it shares the queuing model, memory model,
+signaling and synchronization protocols. Platform atomics are integral to perform queuing and
+signaling memory operations where there may be multiple-writers across CPU and GPU agents.
+
+The full list of HSA system architecture platform requirements are here:
+`HSA Sys Arch Features <http://hsafoundation.com/wp-content/uploads/2021/02/HSA-SysArch-1.2.pdf>`_.
+
+AMD ROCm Software uses the new PCI Express 3.0 (Peripheral Component Interconnect Express [PCIe]
+3.0) features for atomic read-modify-write transactions which extends inter-processor synchronization
+mechanisms to IO to support the defined set of HSA capabilities needed for queuing and signaling
+memory operations.
+
+The new PCIe atomic operations operate as completers for ``CAS`` (Compare and Swap), ``FetchADD``,
+``SWAP`` atomics. The atomic operations are initiated by the I/O device which support 32-bit, 64-bit and
+128-bit operand which target address have to be naturally aligned to operation sizes.
+
+For ROCm the Platform atomics are used in ROCm in the following ways:
+
+  * Update HSA queue's read_dispatch_id: 64 bit atomic add used by the command processor on the
+    GPU agent to update the packet ID it processed.
+  * Update HSA queue's write_dispatch_id: 64 bit atomic add used by the CPU and GPU agent to
+    support multi-writer queue insertions.
+  * Update HSA Signals -- 64bit atomic ops are used for CPU & GPU synchronization.
+
+The PCIe 3.0 atomic operations feature allows atomic transactions to be requested by, routed through
+and completed by PCIe components. Routing and completion does not require software support.
+Component support for each is detectable via the Device Capabilities 2 (DevCap2) register. Upstream
+bridges need to have atomic operations routing enabled or the atomic operations will fail even though
+PCIe endpoint and PCIe I/O devices has the capability to atomic operations.
+
+To do atomic operations routing capability between two or more Root Ports, each associated Root Port
+must indicate that capability via the atomic operations routing supported bit in the DevCap2 register.
+
+If your system has a PCIe Express Switch it needs to support atomic operations routing. Atomic
+operations requests are permitted only if a component's ``DEVCTL2.ATOMICOP_REQUESTER_ENABLE``
+field is set. These requests can only be serviced if the upstream components support atomic operation
+completion and/or routing to a component which does. Atomic operations routing support=1, routing
+is supported; atomic operations routing support=0, routing is not supported.
+
+An atomic operation is a non-posted transaction supporting 32-bit and 64-bit address formats, there
+must be a response for Completion containing the result of the operation. Errors associated with the
+operation (uncorrectable error accessing the target location or carrying out the atomic operation) are
+signaled to the requester by setting the Completion Status field in the completion descriptor, they are
+set to to Completer Abort (CA) or Unsupported Request (UR).
+
+To understand more about how PCIe atomic operations work, see
+`PCIe atomics <https://pcisig.com/specifications/pciexpress/specifications/ECN_Atomic_Ops_080417.pdf>`_
+
+`Linux Kernel Patch to pci_enable_atomic_request <https://patchwork.kernel.org/project/linux-pci/patch/1443110390-4080-1-git-send-email-jay@jcornwall.me/>`_
+
+There are also a number of papers which talk about these new capabilities:
+
+  * `Atomic Read Modify Write Primitives by Intel <https://www.intel.es/content/dam/doc/white-paper/atomic-read-modify-write-primitives-i-o-devices-paper.pdf>`_
+  * `PCI express 3 Accelerator White paper by Intel <https://www.intel.sg/content/dam/doc/white-paper/pci-express3-accelerator-white-paper.pdf>`_
+  * `PCIe Generation 4 Base Specification includes atomic operations <https://astralvx.com/storage/2020/11/PCI_Express_Base_4.0_Rev0.3_February19-2014.pdf>`_
+  * `Xilinx PCIe Ultrascale White paper <https://docs.xilinx.com/v/u/8OZSA2V1b1LLU2rRCDVGQw>`_
+
+Other I/O devices with PCIe atomics support:
+
+  * Mellanox ConnectX-5 InfiniBand Card
+  * Cray Aries Interconnect
+  * Xilinx 7 Series Devices
+
+Future bus technology with richer I/O atomics operation Support
+
+  * GenZ
+
+New PCIe Endpoints with support beyond AMD Ryzen and EPYC CPU; Intel Haswell or newer CPUs
+with PCIe Generation 3.0 support.
+
+  * Mellanox Bluefield SOC
+  * Cavium Thunder X2
+
+In ROCm, we also take advantage of PCIe ID based ordering technology for P2P when the GPU
+originates two writes to two different targets:
+
+* Write to another GPU memory
+* Write to system memory to indicate transfer complete
+
+They are routed off to different ends of the computer but we want to make sure the write to system
+memory to indicate transfer complete occurs AFTER P2P write to GPU has complete.
+
+BAR memory overview
+----------------------------------------------------------------------------------------------------
+On a Xeon E5 based system in the BIOS we can turn on above 4GB PCIe addressing, if so he need to set
+memory-mapped input/output (MMIO) base address (MMIOH base) and range (MMIO high size) in the BIOS.
+
+In the Supermicro system in the system bios you need to see the following
+
+  * Advanced->PCIe/PCI/PnP configuration-\> Above 4G Decoding = Enabled
+  * Advanced->PCIe/PCI/PnP Configuration-\>MMIOH Base = 512G
+  * Advanced->PCIe/PCI/PnP Configuration-\>MMIO High Size = 256G
+
+When we support Large Bar Capability there is a Large Bar VBIOS which also disable the IO bar.
+
+For GFX9 and Vega10 which have Physical Address up 44 bit and 48 bit Virtual address.
+
+  * BAR0-1 registers: 64bit, prefetchable, GPU memory. 8GB or 16GB depending on Vega10 SKU. Must
+    be placed < 2^44 to support P2P  	access from other Vega10.
+  * BAR2-3 registers: 64bit, prefetchable, Doorbell. Must be placed \< 2^44 to support P2P access from
+    other Vega10.
+  * BAR4 register: Optional, not a boot device.
+  * BAR5 register: 32bit, non-prefetchable, MMIO. Must be placed \< 4GB.
+
+Here is how our base address register (BAR) works on GFX 8 GPUs with 40 bit Physical Address Limit ::
+
+  11:00.0 Display controller: Advanced Micro Devices, Inc. [AMD/ATI] Fiji [Radeon R9 FURY / NANO
+  Series] (rev c1)
+
+  Subsystem: Advanced Micro Devices, Inc. [AMD/ATI] Device 0b35
+
+  Flags: bus master, fast devsel, latency 0, IRQ 119
+
+  Memory at bf40000000 (64-bit, prefetchable) [size=256M]
+
+  Memory at bf50000000 (64-bit, prefetchable) [size=2M]
+
+  I/O ports at 3000 [size=256]
+
+  Memory at c7400000 (32-bit, non-prefetchable) [size=256K]
+
+  Expansion ROM at c7440000 [disabled] [size=128K]
+
+Legend:
+
+1 : GPU Frame Buffer BAR -- In this example it happens to be 256M, but typically this will be size of the
+GPU memory (typically 4GB+). This BAR has to be placed \< 2^40 to allow peer-to-peer access from
+other GFX8 AMD GPUs. For GFX9 (Vega GPU) the BAR has to be placed \< 2^44 to allow peer-to-peer
+access from other GFX9 AMD GPUs.
+
+2 : Doorbell BAR -- The size of the BAR is typically will be \< 10MB (currently fixed at 2MB) for this
+generation GPUs. This BAR has to be placed \< 2^40 to allow peer-to-peer access from other current
+generation AMD GPUs.
+
+3 : IO BAR -- This is for legacy VGA and boot device support, but since this the GPUs in this project are
+not VGA devices (headless), this is not a concern even if the SBIOS does not setup.
+
+4 : MMIO BAR -- This is required for the AMD Driver SW to access the configuration registers. Since the
+reminder of the BAR available is only 1 DWORD (32bit), this is placed \< 4GB. This is fixed at 256KB.
+
+5 : Expansion ROM -- This is required for the AMD Driver SW to access the GPU video-bios. This is
+currently fixed at 128KB.
+
+For more information, you can review
+`Overview of Changes to PCI Express 3.0 <https://www.mindshare.com/files/resources/PCIe%203-0.pdf>`_.

docs/conceptual/gpu-arch/mi300-mi200-performance-counters.rst

@@ -615,6 +615,7 @@ The following table shows the hardware counters *by* all texture addressing unit
   "``TA_FLAT_READ_WAVEFRONTS_sum``", "Sum of flat opcode reads processed"
   "``TA_FLAT_WRITE_WAVEFRONTS_sum``", "Sum of flat opcode writes processed"
   "``TA_FLAT_WAVEFRONTS_sum``", "Total number of flat opcode wavefronts processed"
+  "``TA_FLAT_READ_WAVEFRONTS_sum``", "Total number of flat opcode read wavefronts processed"
   "``TA_FLAT_ATOMIC_WAVEFRONTS_sum``", "Total number of flat opcode atomic wavefronts processed"
   "``TA_TOTAL_WAVEFRONTS_sum``", "Total number of wavefronts processed"
 

docs/conceptual/gpu-isolation.md

@@ -42,7 +42,7 @@ export ROCR_VISIBLE_DEVICES="0,GPU-DEADBEEFDEADBEEF"
 Devices indices exposed to OpenCL and HIP applications.
 
 Runtime
-: ROCm Compute Language Runtime (`ROCclr`). Applies to applications and runtimes
+: ROCm Common Language Runtime (`ROCclr`). Applies to applications and runtimes
   using the `ROCclr` abstraction layer including HIP and OpenCL applications.
 
 ```{code-block} shell

docs/conceptual/gpu-memory.md

@@ -0,0 +1,241 @@
+<head>
+  <meta charset="UTF-8">
+  <meta name="description" content="GPU memory">
+  <meta name="keywords" content="GPU memory, VRAM, video random access memory, pageable
+  memory, pinned memory, managed memory, AMD, ROCm">
+</head>
+
+# GPU memory
+
+For the HIP reference documentation, see:
+
+* {doc}`hip:doxygen/html/group___memory`
+* {doc}`hip:doxygen/html/group___memory_m`
+
+Host memory exists on the host (e.g. CPU) of the machine in random access memory (RAM).
+
+Device memory exists on the device (e.g. GPU) of the machine in video random access memory (VRAM).
+Recent architectures use graphics double data rate (GDDR) synchronous dynamic random-access memory (SDRAM)such as GDDR6, or high-bandwidth memory (HBM) such as HBM2e.
+
+## Memory allocation
+
+Memory can be allocated in two ways: pageable memory, and pinned memory.
+The following API calls with result in these allocations:
+
+| API                | Data location | Allocation |
+|--------------------|---------------|------------|
+| System allocated   | Host          | Pageable   |
+| `hipMallocManaged` | Host          | Managed    |
+| `hipHostMalloc`    | Host          | Pinned     |
+| `hipMalloc`        | Device        | Pinned     |
+
+:::{tip}
+`hipMalloc` and `hipFree` are blocking calls, however, HIP recently added non-blocking versions `hipMallocAsync` and `hipFreeAsync` which take in a stream as an additional argument.
+:::
+
+### Pageable memory
+
+Pageable memory is usually gotten when calling `malloc` or `new` in a C++ application.
+It is unique in that it exists on "pages" (blocks of memory), which can be migrated to other memory storage.
+For example, migrating memory between CPU sockets on a motherboard, or a system that runs out of space in RAM and starts dumping pages of RAM into the swap partition of your hard drive.
+
+### Pinned memory
+
+Pinned memory (or page-locked memory, or non-pageable memory) is host memory that is mapped into the address space of all GPUs, meaning that the pointer can be used on both host and device.
+Accessing host-resident pinned memory in device kernels is generally not recommended for performance, as it can force the data to traverse the host-device interconnect (e.g. PCIe), which is much slower than the on-device bandwidth (>40x on MI200).
+
+Pinned host memory can be allocated with one of two types of coherence support:
+
+:::{note}
+In HIP, pinned memory allocations are coherent by default (`hipHostMallocDefault`).
+There are additional pinned memory flags (e.g. `hipHostMallocMapped` and `hipHostMallocPortable`).
+On MI200 these options do not impact performance.
+<!-- TODO: link to programming_manual#memory-allocation-flags -->
+For more information, see the section *memory allocation flags* in the HIP Programming Guide: {doc}`hip:how-to/programming_manual`.
+:::
+
+Much like how a process can be locked to a CPU core by setting affinity, a pinned memory allocator does this with the memory storage system.
+On multi-socket systems it is important to ensure that pinned memory is located on the same socket as the owning process, or else each cache line will be moved through the CPU-CPU interconnect, thereby increasing latency and potentially decreasing bandwidth.
+
+In practice, pinned memory is used to improve transfer times between host and device.
+For transfer operations, such as `hipMemcpy` or `hipMemcpyAsync`, using pinned memory instead of pageable memory on host can lead to a ~3x improvement in bandwidth.
+
+:::{tip}
+If the application needs to move data back and forth between device and host (separate allocations), use pinned memory on the host side.
+:::
+
+### Managed memory
+
+Managed memory refers to universally addressable, or unified memory available on the MI200 series of GPUs.
+Much like pinned memory, managed memory shares a pointer between host and device and (by default) supports fine-grained coherence, however, managed memory can also automatically migrate pages between host and device.
+The allocation will be managed by AMD GPU driver using the Linux HMM (Heterogeneous Memory Management) mechanism.
+
+If heterogenous memory management (HMM) is not available, then `hipMallocManaged` will default back to using system memory and will act like pinned host memory.
+Other managed memory API calls will have undefined behavior.
+It is therefore recommended to check for managed memory capability with: `hipDeviceGetAttribute` and `hipDeviceAttributeManagedMemory`.
+
+HIP supports additional calls that work with page migration:
+
+* `hipMemAdvise`
+* `hipMemPrefetchAsync`
+
+:::{tip}
+If the application needs to use data on both host and device regularly, does not want to deal with separate allocations, and is not worried about maxing out the VRAM on MI200 GPUs (64 GB per GCD), use managed memory.
+:::
+
+:::{tip}
+If managed memory performance is poor, check to see if managed memory is supported on your system and if page migration (XNACK) is enabled.
+:::
+
+## Access behavior
+
+Memory allocations for GPUs behave as follow:
+
+| API                | Data location | Host access  | Device access        |
+|--------------------|---------------|--------------|----------------------|
+| System allocated   | Host          | Local access | Unhandled page fault |
+| `hipMallocManaged` | Host          | Local access | Zero-copy            |
+| `hipHostMalloc`    | Host          | Local access | Zero-copy*           |
+| `hipMalloc`        | Device        | Zero-copy    | Local access         |
+
+Zero-copy accesses happen over the Infinity Fabric interconnect or PCI-E lanes on discrete GPUs.
+
+:::{note}
+While `hipHostMalloc` allocated memory is accessible by a device, the host pointer must be converted to a device pointer with `hipHostGetDevicePointer`.
+
+Memory allocated through standard system allocators such as `malloc`, can be accessed a device by registering the memory via `hipHostRegister`.
+The device pointer to be used in kernels can be retrieved with `hipHostGetDevicePointer`.
+Registered memory is treated like `hipHostMalloc` and will have similar performance.
+
+On devices that support and have [](#xnack) enabled, such as the MI250X, `hipHostRegister` is not required as memory accesses are handled via automatic page migration.
+:::
+
+### XNACK
+
+Normally, host and device memory are separate and data has to be transferred manually via `hipMemcpy`.
+
+On a subset of GPUs, such as the MI200, there is an option to automatically migrate pages of memory between host and device.
+This is important for managed memory, where the locality of the data is important for performance.
+Depending on the system, page migration may be disabled by default in which case managed memory will act like pinned host memory and suffer degraded performance.
+
+*XNACK* describes the GPUs ability to retry memory accesses that failed due a page fault (which normally would lead to a memory access error), and instead retrieve the missing page.
+
+This also affects memory allocated by the system as indicated by the following table:
+
+| API                | Data location | Host after device access | Device after host access |
+|--------------------|---------------|--------------------------|--------------------------|
+| System allocated   | Host          | Migrate page to host     | Migrate page to device   |
+| `hipMallocManaged` | Host          | Migrate page to host     | Migrate page to device   |
+| `hipHostMalloc`    | Host          | Local access             | Zero-copy                |
+| `hipMalloc`        | Device        | Zero-copy                | Local access             |
+
+To check if page migration is available on a platform, use `rocminfo`:
+
+```sh
+$ rocminfo | grep xnack
+      Name:                    amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack-
+```
+
+Here, `xnack-` means that XNACK is available but is disabled by default.
+Turning on XNACK by setting the environment variable `HSA_XNACK=1` and gives the expected result, `xnack+`:
+
+```sh
+$ HSA_XNACK=1 rocminfo | grep xnack
+Name:                    amdgcn-amd-amdhsa--gfx90a:sramecc+:xnack+
+```
+
+`hipcc`by default will generate code that runs correctly with both XNACK enabled or disabled.
+Setting the `--offload-arch=`-option with `xnack+` or `xnack-` forces code to be only run with XNACK enabled or disabled respectively.
+
+```sh
+# Compiled kernels will run regardless if XNACK is enabled or is disabled. 
+hipcc --offload-arch=gfx90a
+
+# Compiled kernels will only be run if XNACK is enabled with XNACK=1.
+hipcc --offload-arch=gfx90a:xnack+
+
+# Compiled kernels will only be run if XNACK is disabled with XNACK=0.
+hipcc --offload-arch=gfx90a:xnack-
+```
+
+:::{tip}
+If you want to make use of page migration, use managed memory. While pageable memory will migrate correctly, it is not a portable solution and can have performance issues if the accessed data isn't page aligned.
+:::
+
+### Coherence
+
+* *Coarse-grained coherence* means that memory is only considered up to date at kernel boundaries, which can be enforced through `hipDeviceSynchronize`, `hipStreamSynchronize`, or any blocking operation that acts on the null stream (e.g. `hipMemcpy`).
+For example, cacheable memory is a type of coarse-grained memory where an up-to-date copy of the data can be stored elsewhere (e.g. in an L2 cache).
+* *Fine-grained coherence* means the coherence is supported while a CPU/GPU kernel is running.
+This can be useful if both host and device are operating on the same dataspace using system-scope atomic operations (e.g. updating an error code or flag to a buffer).
+Fine-grained memory implies that up-to-date data may be made visible to others regardless of kernel boundaries as discussed above.
+
+| API                     | Flag                         | Coherence      |
+|-------------------------|------------------------------|----------------|
+| `hipHostMalloc`         | `hipHostMallocDefault`       | Fine-grained   |
+| `hipHostMalloc`         | `hipHostMallocNonCoherent`   | Coarse-grained |
+
+| API                     | Flag                         | Coherence      |
+|-------------------------|------------------------------|----------------|
+| `hipExtMallocWithFlags` | `hipDeviceMallocDefault`     | Coarse-grained |
+| `hipExtMallocWithFlags` | `hipDeviceMallocFinegrained` | Fine-grained   |
+
+| API                     | `hipMemAdvise` argument      | Coherence      |
+|-------------------------|------------------------------|----------------|
+| `hipMallocManaged`      |                              | Fine-grained   |
+| `hipMallocManaged`      | `hipMemAdviseSetCoarseGrain` | Coarse-grained |
+| `malloc`                |                              | Fine-grained   |
+| `malloc`                | `hipMemAdviseSetCoarseGrain` | Coarse-grained |
+
+:::{tip}
+Try to design your algorithms to avoid host-device memory coherence (e.g. system scope atomics). While it can be a useful feature in very specific cases, it is not supported on all systems, and can negatively impact performance by introducing the host-device interconnect bottleneck.
+:::
+
+The availability of fine- and coarse-grained memory pools can be checked with `rocminfo`:
+
+```sh
+$ rocminfo
+...
+*******
+Agent 1
+*******
+Name:                    AMD EPYC 7742 64-Core Processor
+...
+Pool Info:
+Pool 1
+Segment:                 GLOBAL; FLAGS: FINE GRAINED
+...
+Pool 3
+Segment:                 GLOBAL; FLAGS: COARSE GRAINED
+...
+*******
+Agent 9
+*******
+Name:                    gfx90a
+...
+Pool Info:
+Pool 1
+Segment:                 GLOBAL; FLAGS: COARSE GRAINED
+...
+```
+
+## System direct memory access
+
+In most cases, the default behavior for HIP in transferring data from a pinned host allocation to device will run at the limit of the interconnect.
+However, there are certain cases where the interconnect is not the bottleneck.
+
+The primary way to transfer data onto and off of a GPU, such as the MI200, is to use the onboard System Direct Memory Access engine, which is used to feed blocks of memory to the off-device interconnect (either GPU-CPU or GPU-GPU).
+Each GCD has a separate SDMA engine for host-to-device and device-to-host memory transfers.
+Importantly, SDMA engines are separate from the computing infrastructure, meaning that memory transfers to and from a device will not impact kernel compute performance, though they do impact memory bandwidth to a limited extent.
+The SDMA engines are mainly tuned for PCIe-4.0 x16, which means they are designed to operate at bandwidths up to 32 GB/s.
+
+:::{note}
+An important feature of the MI250X platform is the Infinity Fabric™ interconnect between host and device.
+The Infinity Fabric interconnect supports improved performance over standard PCIe-4.0 (usually ~50% more bandwidth); however, since the SDMA engine does not run at this speed, it will not max out the bandwidth of the faster interconnect.
+:::
+
+The bandwidth limitation can be countered by bypassing the SDMA engine and replacing it with a type of copy kernel known as a "blit" kernel.
+Blit kernels will use the compute units on the GPU, thereby consuming compute resources, which may not always be beneficial.
+The easiest way to enable blit kernels is to set an environment variable `HSA_ENABLE_SDMA=0`, which will disable the SDMA engine.
+On systems where the GPU uses a PCIe interconnect instead of an Infinity Fabric interconnect, blit kernels will not impact bandwidth, but will still consume compute resources.
+The use of SDMA vs blit kernels also applies to MPI data transfers and GPU-GPU transfers.

docs/conceptual/iommu.rst

@@ -1,63 +0,0 @@
-.. meta::
-   :description: Input-Output Memory Management Unit (IOMMU)
-   :keywords: IOMMU, DMA, PCIe, xGMI, AMD, ROCm
-
-****************************************************************
-Input-Output Memory Management Unit (IOMMU)
-****************************************************************
-
-The I/O Memory Management Unit (IOMMU) provides memory remapping services for I/O devices. It adds support for address translation and system memory access protection on direct memory access (DMA) transfers from peripheral devices. 
-
-The IOMMU's memory remapping services:
-
-* provide private I/O space for devices used in a guest virtual machine.
-* prevent unauthorized DMA requests to system memory and to memory-mapped I/O (MMIO).
-* help in debugging memory access issues.
-* facilitate peer-to-peer DMA.
-
-The IOMMU also provides interrupt remapping, which is used by devices that support multiple interrupts and for interrupt delivery on hardware platforms with a large number of cores.
-
-.. note::
-
-  AMD Instinct accelerators are connected via XGMI links and don't use PCI/PCIe for peer-to-peer DMA. Because PCI/PCIe is not used for peer-to-peer DMA, there are no device physical addressing limitations or platform root port limitations. However, because non-GPU devices such as RDMA NICs use PCIe for peer-to-peer DMA, there might still be physical addressing and platform root port limitations when these non-GPU devices interact with other devices, including GPUs.
-
-Linux supports IOMMU in both virtualized environments and bare metal. 
-
-The IOMMU is enabled by default but can be disabled or put into passthrough mode through the Linux kernel command line:
-
-.. list-table:: 
-  :widths: 15 15 70
-  :header-rows: 1
-
-  * - IOMMU Mode
-    - Kernel command
-    - Description
-  * - Enabled
-    - Default setting
-    - Recommended for AMD Radeon GPUs that need peer-to-peer DMA.
-    
-      The IOMMU is enabled in remapping mode. Each device gets its own I/O virtual address space. All devices on Linux register their DMA addressing capabilities, and the kernel will ensure that any address space mapped for DMA is mapped within the device's DMA addressing limits. Only address space explicitly mapped by the devices will be mapped into virtual address space. Attempts to access an unmapped page will generate an IOMMU page fault. 
-  * - Passthrough
-    - ``iommu=pt``
-    - Recommended for AMD Instinct Accelerators and for AMD Radeon GPUs that don't need peer-to-peer DMA.
-
-      Interrupt remapping is enabled but I/O remapping is disabled. The entire platform shares a common platform address space for system memory and MMIO spaces, ensuring compatibility with drivers from external vendors, while still supporting CPUs with a large number of cores. 
-  * - Disabled
-    - ``iommu=off``
-    - Not recommended.
-      
-      The IOMMU is disabled and the entire platform shares a common platform address space for system memory and MMIO spaces.
-      
-      This mode should only be used with older Linux distributions with kernels that are not configured to support peer-to-peer DMA with an IOMMU. In these cases, the IOMMU needs to be disabled to use peer-to-peer DMA. 
-    
-The IOMMU also provides virtualized access to the MMIO portions of the platform address space for peer-to-peer DMA.
-
-Because peer-to-peer DMA is not officially part of the PCI/PCIe specification, the behavior of peer-to-peer DMA varies between hardware platforms. 
-
-AMD CPUs earlier than AMD Zen only supported peer-to-peer DMA for writes. On CPUs from AMD Zen and later, peer-to-peer DMA is fully supported. 
-
-To use peer-to-peer DMA on Linux, enable the following options in your Linux kernel configuration:
-
-* ``CONFIG_PCI_P2PDMA``
-* ``CONFIG_DMABUF_MOVE_NOTIFY`` 
-* ``CONFIG_HSA_AMD_P2P``

docs/conceptual/pcie-atomics.rst

@@ -1,57 +0,0 @@
-.. meta::
-   :description: How ROCm uses PCIe atomics
-   :keywords: PCIe, PCIe atomics, atomics, Atomic operations, AMD, ROCm
-
-*****************************************************************************
-How ROCm uses PCIe atomics
-*****************************************************************************
-AMD ROCm is an extension of the Heterogeneous System Architecture (HSA). To meet the requirements of an HSA-compliant system, ROCm supports queuing models, memory models, and signaling and synchronization protocols. ROCm can perform atomic Read-Modify-Write (RMW) transactions that extend inter-processor synchronization mechanisms to Input/Output (I/O) devices starting from Peripheral Component Interconnect Express 3.0 (PCIe™ 3.0). It supports the defined HSA capabilities for queuing and signaling memory operations. To learn more about the requirements of an HSA-compliant system, see the 
-`HSA Platform System Architecture Specification <http://hsafoundation.com/wp-content/uploads/2021/02/HSA-SysArch-1.2.pdf>`_.
-
-ROCm uses platform atomics to perform memory operations like queuing, signaling, and synchronization across multiple CPU, GPU agents, and I/O devices. Platform atomics ensure that atomic operations run synchronously, without interruptions or conflicts, across multiple shared resources.
-
-Platform atomics in ROCm
-==============================
-Platform atomics enable the set of atomic operations that perform RMW actions across multiple processors, devices, and memory locations so that they run synchronously without interruption. An atomic operation is a sequence of computing instructions run as a single, indivisible unit. These instructions are completed in their entirety without any interruptions. If the instructions can't be completed as a unit without interruption, none of the instructions are run. These operations support 32-bit and 64-bit address formats.
-
-Some of the operations for which ROCm uses platform atomics are:
-
-* Update the HSA queue's ``read_dispatch_id``. The command processor on the GPU agent uses a 64-bit atomic add operation. It updates the packet ID it processed.
-* Update the HSA queue's ``write_dispatch_id``. The CPU and GPU agents use a 64-bit atomic add operation. It supports multi-writer queue insertions.
-* Update HSA Signals. A 64-bit atomic operation is used for CPU & GPU synchronization.
-
-
-PCIe for atomic operations
-----------------------------
-ROCm requires CPUs that support PCIe atomics. Similarly, all connected I/O devices should also support PCIe atomics for optimum compatibility. PCIe supports the ``CAS`` (Compare and Swap), ``FetchADD``, and ``SWAP`` atomic operations across multiple resources. These atomic operations are initiated by the I/O devices that support 32-bit, 64-bit, and 128-bit operands. Likewise, the target memory address where these atomic operations are performed should also be aligned to the size of the operand. This alignment ensures that the operations are performed efficiently and correctly without failure. 
-
-When an atomic operation is successful, the requester receives a response of completion along with the operation result. However, any errors associated with the operation are signaled to the requester by updating the Completion Status field. Issues accessing the target location or running the atomic operation are common errors. Depending upon the error, the Completion Status field is updated to Completer Abort (CA) or Unsupported Request (UR). The field is present in the Completion Descriptor.
-
-To learn more about the industry standards and specifications of PCIe, see `PCI-SIG Specification <https://pcisig.com/specifications>`_.
-
-To learn more about PCIe and its capabilities, consult the following white papers:
-
-* `Atomic Read Modify Write Primitives by Intel <https://www.intel.es/content/dam/doc/white-paper/atomic-read-modify-write-primitives-i-o-devices-paper.pdf>`_
-* `PCI Express 3 Accelerator White paper by Intel <https://www.intel.sg/content/dam/doc/white-paper/pci-express3-accelerator-white-paper.pdf>`_
-* `PCIe Generation 4 Base Specification includes atomic operations <https://astralvx.com/storage/2020/11/PCI_Express_Base_4.0_Rev0.3_February19-2014.pdf>`_
-* `Xilinx PCIe Ultrascale White paper <https://docs.xilinx.com/v/u/8OZSA2V1b1LLU2rRCDVGQw>`_
-
-Working with PCIe 3.0 in ROCm
--------------------------------
-Starting with PCIe 3.0, atomic operations can be requested, routed through, and completed by PCIe components. Routing and completion do not require software support. Component support for each can be identified by the Device Capabilities 2 (DevCap2) register. Upstream
-bridges need to have atomic operations routing enabled. If not enabled, the atomic operations will fail even if the 
-PCIe endpoint and PCIe I/O devices can perform atomic operations. 
-
-If your system uses PCIe switches to connect and enable communication between multiple PCIe components, the switches must also support atomic operations routing.
-
-To enable atomic operations routing between multiple root ports, each root port must support atomic operation routing. This capability can be identified from the atomic operations routing support bit in the DevCap2 register. If the bit has value of 1, routing is supported. Atomic operation requests are permitted only if a component's ``DEVCTL2.ATOMICOP_REQUESTER_ENABLE``
-field is set. These requests can only be serviced if the upstream components also support atomic operation completion or if the requests can be routed to a component that supports atomic operation completion.
-
-ROCm uses the PCIe-ID-based ordering technology for peer-to-peer (P2P) data transmission. PCIe-ID-based ordering technology is used when the GPU initiates multiple write operations to different memory locations.
-
-For more information on changes implemented in PCIe 3.0, see `Overview of Changes to PCI Express 3.0 <https://www.mindshare.com/files/resources/PCIe%203-0.pdf>`_.
-
-
-
-
-

docs/conf.py

@@ -29,48 +29,59 @@ if os.environ.get("READTHEDOCS", "") == "True":
 # configurations for PDF output by Read the Docs
 project = "ROCm Documentation"
 author = "Advanced Micro Devices, Inc."
-copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
-version = "6.3.1"
-release = "6.3.1"
+copyright = "Copyright (c) 2024 Advanced Micro Devices, Inc. All rights reserved."
+version = "6.2.4"
+release = "6.2.4"
 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", "windows"], "date": "2024-12-20"},
-    {"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
-    {"file": "compatibility/ml-compatibility/tensorflow-compatibility", "os": ["linux"]},
-    {"file": "compatibility/ml-compatibility/jax-compatibility", "os": ["linux"]},
+    {"file": "about/release-notes", "os": ["linux", "windows"], "date": "2024-11-06"},
     {"file": "how-to/deep-learning-rocm", "os": ["linux"]},
-
     {"file": "how-to/rocm-for-ai/index", "os": ["linux"]},
-
-    {"file": "how-to/rocm-for-ai/training/index", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/train-a-model", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/training/scale-model-training", "os": ["linux"]},
-
-    {"file": "how-to/rocm-for-ai/fine-tuning/index", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/fine-tuning/overview", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/fine-tuning/fine-tuning-and-inference", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference", "os": ["linux"]},
-
-    {"file": "how-to/rocm-for-ai/inference/index", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/install", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/hugging-face-models", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/llm-inference-frameworks", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/vllm-benchmark", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference/deploy-your-model", "os": ["linux"]},
-    
-    {"file": "how-to/rocm-for-ai/inference-optimization/index", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/model-quantization", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/model-acceleration-libraries", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/optimizing-with-composable-kernel", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/optimizing-triton-kernel", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/profiling-and-debugging", "os": ["linux"]},
-    {"file": "how-to/rocm-for-ai/inference-optimization/workload", "os": ["linux"]},
-
+    {"file": "how-to/rocm-for-ai/install", "os": ["linux"]},
+    {"file": "how-to/rocm-for-ai/train-a-model", "os": ["linux"]},
+    {"file": "how-to/rocm-for-ai/deploy-your-model", "os": ["linux"]},
+    {"file": "how-to/rocm-for-ai/hugging-face-models", "os": ["linux"]},
+    {"file": "how-to/rocm-for-hpc/index", "os": ["linux"]},
+    {"file": "how-to/llm-fine-tuning-optimization/index", "os": ["linux"]},
+    {"file": "how-to/llm-fine-tuning-optimization/overview", "os": ["linux"]},
+    {
+        "file": "how-to/llm-fine-tuning-optimization/fine-tuning-and-inference",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/single-gpu-fine-tuning-and-inference",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/multi-gpu-fine-tuning-and-inference",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/llm-inference-frameworks",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/model-acceleration-libraries",
+        "os": ["linux"],
+    },
+    {"file": "how-to/llm-fine-tuning-optimization/model-quantization", "os": ["linux"]},
+    {
+        "file": "how-to/llm-fine-tuning-optimization/optimizing-with-composable-kernel",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/optimizing-triton-kernel",
+        "os": ["linux"],
+    },
+    {
+        "file": "how-to/llm-fine-tuning-optimization/profiling-and-debugging",
+        "os": ["linux"],
+    },
+    {"file": "how-to/performance-validation/mi300x/vllm-benchmark", "os": ["linux"]},
     {"file": "how-to/system-optimization/index", "os": ["linux"]},
     {"file": "how-to/system-optimization/mi300x", "os": ["linux"]},
     {"file": "how-to/system-optimization/mi200", "os": ["linux"]},
@@ -85,14 +96,11 @@ article_pages = [
 
 external_toc_path = "./sphinx/_toc.yml"
 
-extensions = ["rocm_docs", "sphinx_reredirects", "sphinx_sitemap"]
+extensions = ["rocm_docs", "sphinx_reredirects"]
 
 external_projects_current_project = "rocm"
 
-# Uncomment if facing rate limit exceed issue with local build 
-# external_projects_remote_repository = ""
-
-html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "https://rocm-stg.amd.com/")
+html_baseurl = os.environ.get("READTHEDOCS_CANONICAL_URL", "rocm-stg.amd.com")
 html_context = {}
 if os.environ.get("READTHEDOCS", "") == "True":
     html_context["READTHEDOCS"] = True

docs/contribute/contributing.md

@@ -34,9 +34,7 @@ The sub-folders within the `docs` folders across ROCm are typically structured a
 
 ## Editing and adding to the documentation
 
-ROCm documentation follows the [Google developer documentation style guide](https://developers.google.com/style/highlights).
-
-Most topics in the ROCm documentation are written in [reStructuredText (rst)](https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html), with some topics written in Markdown. Only use reStructuredText when adding new topics. Only use Markdown if the topic you are editing is already in Markdown.
+The ROCm documentation is written in [reStructuredText (rst)](https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html) and [Github-flavoured Markdown](https://github.github.com/gfm/), and follows the [Google developer documentation style guide](https://developers.google.com/style/highlights). reStructuredText is preferred when adding content to the documentation.
 
 To edit or add to the documentation:
 
@@ -59,14 +57,10 @@ To edit or add to the documentation:
 
     The documentation is built as part of the checks on pull request, along with spell checking and linting. Scroll to the bottom of your pull request to view all the checks.
 
-    Verify that the linting and spell checking have passed, and that the documentation was built successfully. New words or acronyms can be added to the [wordlist file](https://github.com/ROCm/rocm-docs-core/blob/develop/.wordlist.txt). The wordlist is subject to approval by the ROCm documentation team.
+    Verify that the linking and spell checking have passed, and that the documentation was built successfully. New words or acronyms can be added to the [wordlist file](https://github.com/ROCm/rocm-docs-core/blob/develop/.wordlist.txt) as needed.
 
     The Read The Docs build of your pull request can be accessed by clicking on the Details link next to the Read The Docs build check. Verify that your changes are in the build and look as expected.
 
-    ![The GitHub checks are collapsed by default and can be accessed by clicking on "Show All Checks".](../data/contribute/GitHubCheck-Highlight.png)
-  
-    ![The Read The Docs Build is accessed from the Details link in the Read The Docs check.](../data/contribute/GitHub-ReadThe-Docs-Highlight.png)
-
     Your pull request will be reviewed by a member of the ROCm documentation team.
 
 See the [GitHub documentation](https://docs.github.com/en) for information on how to fork and clone a repository, and how to create and push a local branch.

docs/contribute/toolchain.md

@@ -41,6 +41,12 @@ based on a YAML file (`_toc.yml.in`) that contains the table of contents.
 
 [Breathe](https://www.breathe-doc.org/) is a Sphinx plugin for integrating Doxygen content.
 
+## MyST
+
+[Markedly Structured Text (MyST)](https://myst-tools.org/docs/spec) is an extended flavor of Markdown ([CommonMark](https://commonmark.org/)) influenced by reStructuredText (rst) and Sphinx. It is integrated into the ROCm documentation with the [`myst-parser`](https://myst-parser.readthedocs.io/en/latest/) Sphinx extension.
+
+See the [MyST syntax cheat sheet](https://jupyterbook.org/en/stable/reference/cheatsheet.html) at the Jupyter Book site.
+
 ## Read the Docs
 
 [Read the Docs](https://docs.readthedocs.io/en/stable/) is the service that builds and hosts the HTML version of the ROCm documentation.