Re-add submodule submodule-srcs/ROCK-Kernel-Driver at specific commit

Remove broken submodule submodule-srcs/ROCK-Kernel-Driver completely
support ROCm submodule sources
2026-01-09 22:58:17 -05:00 · 2025-04-30 10:52:41 +00:00 · 2025-04-30 10:30:34 +00:00 · 2025-04-24 15:10:29 +00:00 · 2025-04-24 09:52:27 -04:00 · 2025-04-23 17:35:52 -04:00
100 changed files with 1282 additions and 543 deletions
--- a/.azuredevops/components/AMDMIGraphX.yml
+++ b/.azuredevops/components/AMDMIGraphX.yml
@@ -32,12 +32,12 @@ parameters:
  type: object
  default:
    - https://github.com/RadeonOpenCompute/rbuild/archive/master.tar.gz
-    - onnx>=1.14.1
-    - numpy>=1.21.6
-    - typing>=3.7.4
-    - pytest>=6.0.1
-    - packaging>=23.0
-    - protobuf>=3.20.2
+    - "onnx>=1.14.1"
+    - "numpy>=1.21.6"
+    - "typing>=3.7.4"
+    - "pytest>=6.0.1"
+    - "packaging>=23.0"
+    - "protobuf>=3.20.2"
 - name: rocmDependencies
  type: object
  default:
--- a/.azuredevops/components/MIOpen.yml
+++ b/.azuredevops/components/MIOpen.yml
@@ -113,13 +113,13 @@ jobs:
          mkdir -p $(Agent.BuildDirectory)/miopen-deps
          export CXX=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
          export CC=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang
-          cmake -P install_deps.cmake --prefix $(Agent.BuildDirectory)/miopen-deps
+          cmake -P install_deps.cmake --prefix $(Agent.BuildDirectory)/miopen-deps --generator Ninja
    - 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 --generator Ninja
+          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/miopen-deps
          -DGPU_TARGETS=${{ job.target }}
          -DMIOPEN_ENABLE_AI_KERNEL_TUNING=OFF
          -DMIOPEN_ENABLE_AI_IMMED_MODE_FALLBACK=OFF
--- a/.azuredevops/components/hipBLAS.yml
+++ b/.azuredevops/components/hipBLAS.yml
@@ -133,8 +133,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/hipBLASLt.yml
+++ b/.azuredevops/components/hipBLASLt.yml
@@ -27,7 +27,7 @@ parameters:
  type: object
  default:
    - joblib
-    - packaging>=22.0
+    - "packaging>=22.0"
    - --upgrade
 - name: rocmDependencies
  type: object
@@ -193,8 +193,6 @@ jobs:
    - template: /.azuredevops/variables-global.yml
    - name: ROCM_PATH
      value: $(Agent.BuildDirectory)/rocm
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/hipSOLVER.yml
+++ b/.azuredevops/components/hipSOLVER.yml
@@ -134,8 +134,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/hipSPARSE.yml
+++ b/.azuredevops/components/hipSPARSE.yml
@@ -128,8 +128,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/hipTensor.yml
+++ b/.azuredevops/components/hipTensor.yml
@@ -107,8 +107,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocBLAS.yml
+++ b/.azuredevops/components/rocBLAS.yml
@@ -157,8 +157,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocSOLVER.yml
+++ b/.azuredevops/components/rocSOLVER.yml
@@ -143,8 +143,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocSPARSE.yml
+++ b/.azuredevops/components/rocSPARSE.yml
@@ -34,6 +34,7 @@ parameters:
    - rocminfo
    - rocPRIM
    - rocprofiler-register
+    - roctracer
 - name: rocmTestDependencies
  type: object
  default:
@@ -138,8 +139,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocWMMA.yml
+++ b/.azuredevops/components/rocWMMA.yml
@@ -125,8 +125,6 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
-    - name: AMD_COMGR_CACHE
-      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocprofiler-compute.yml
+++ b/.azuredevops/components/rocprofiler-compute.yml
@@ -14,6 +14,8 @@ parameters:
  type: object
  default:
    - cmake
+    - libdw-dev
+    - libtbb-dev
    - locales
    - ninja-build
    - python3-pip
@@ -22,10 +24,10 @@ parameters:
  default:
    - astunparse==1.6.2
    - colorlover
-    - dash>=1.12.0
+    - "dash>=1.12.0"
    - matplotlib
-    - numpy>=1.17.5
-    - pandas>=1.4.3
+    - "numpy>=1.17.5"
+    - "pandas>=1.4.3"
    - pymongo
    - pyyaml
    - tabulate
@@ -189,12 +191,9 @@ jobs:
      displayName: Add ROCm binaries to PATH
      inputs:
        targetType: inline
-        script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-    - task: Bash@3
-      displayName: Add ROCm compilers to PATH
-      inputs:
-        targetType: inline
-        script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
+        script: |
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
+          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
      parameters:
        extraBuildFlags: >-
@@ -213,18 +212,6 @@ jobs:
        componentName: rocprofiler-compute
        testDir: $(Build.BinariesDirectory)/libexec/rocprofiler-compute
        testExecutable: ROCM_PATH=$(Agent.BuildDirectory)/rocm 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;/$;;')"
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
      parameters:
        aptPackages: ${{ parameters.aptPackages }}
--- a/.azuredevops/components/rocprofiler-register.yml
+++ b/.azuredevops/components/rocprofiler-register.yml
@@ -37,20 +37,14 @@ jobs:
  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
    parameters:
      componentName: rocprofiler-register
-      extraBuildFlags: >-
-        -GNinja
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
-    parameters:
-      componentName: rocprofiler-register-tests
      extraBuildFlags: >-
        -DCMAKE_PREFIX_PATH=$(Build.BinariesDirectory)
+        -DROCPROFILER_REGISTER_BUILD_TESTS=ON
+        -DROCPROFILER_REGISTER_BUILD_SAMPLES=ON
        -GNinja
-      cmakeBuildDir: 'tests/build'
-      installEnabled: false
  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
    parameters:
      componentName: rocprofiler-register
-      testDir: 'tests/build'
  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
--- a/.azuredevops/components/rocprofiler-sdk.yml
+++ b/.azuredevops/components/rocprofiler-sdk.yml
@@ -36,7 +36,7 @@ parameters:
    - pandas
    - perfetto
    - pycobertura
-    - pytest>=6.2.5
+    - "pytest>=6.2.5"
    - pyyaml
 - name: rocmDependencies
  type: object
--- a/.azuredevops/components/rocprofiler-systems.yml
+++ b/.azuredevops/components/rocprofiler-systems.yml
@@ -21,6 +21,7 @@ parameters:
    - bzip2
    - clang
    - cmake
+    - chrpath
    - environment-modules
    - ffmpeg
    - g++-12
@@ -130,6 +131,7 @@ jobs:
          -DDYNINST_BUILD_BOOST=ON
          -DROCPROFSYS_USE_PAPI=ON
          -DROCPROFSYS_USE_MPI=ON
+          -DCMAKE_CXX_FLAGS=-I$(Agent.BuildDirectory)/rocm/include/rocjpeg
          -DGPU_TARGETS=${{ job.target }}
          -GNinja
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
@@ -204,6 +206,7 @@ jobs:
          -DDYNINST_BUILD_BOOST=ON
          -DROCPROFSYS_USE_PAPI=ON
          -DROCPROFSYS_USE_MPI=ON
+          -DCMAKE_CXX_FLAGS=-I$(Agent.BuildDirectory)/rocm/include/rocjpeg
          -DGPU_TARGETS=${{ job.target }}
          -GNinja
    - task: Bash@3
--- a/.azuredevops/nightly/pytorch.yml
+++ b/.azuredevops/nightly/pytorch.yml
@@ -68,7 +68,7 @@ parameters:
  default:
    - cmake
    - astunparse
-    - expecttest>=0.2.1
+    - "expecttest>=0.2.1"
    - hypothesis
    - numpy
    - psutil
@@ -76,8 +76,8 @@ parameters:
    - requests
    - setuptools==75.8.0
    - types-dataclasses
-    - typing-extensions>=4.8.0
-    - sympy>=1.13.0
+    - "typing-extensions>=4.8.0"
+    - "sympy>=1.13.0"
    - filelock
    - networkx
    - jinja2
@@ -85,8 +85,8 @@ parameters:
    - lintrunner
    - ninja
    - packaging
-    - optree>=0.13.0
-    - click>=8.0.3
+    - "optree>=0.13.0"
+    - "click>=8.0.3"
  # list for vision
    - auditwheel
    - future
--- a/.azuredevops/scripts/download-manifest-artifacts/download-manifest-artifacts.py
+++ b/.azuredevops/scripts/download-manifest-artifacts/download-manifest-artifacts.py
@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+
+import json
+import requests
+import argparse
+from pathlib import Path
+
+def get_builds(entries, gpu_target, output):
+    already_downloaded = {}
+    for entry in entries:
+        already_downloaded = _get_builds(entry, gpu_target, already_downloaded, output)
+
+def _get_builds(entry, gpu_target, already_downloaded, output):
+    print()
+    print(f"{entry['buildNumber']} - {entry['buildId']} - {entry['repoName']}")
+    if already_downloaded.get(entry['buildId']):
+        print('Skipping, already downloaded from build ' + entry['buildId'])
+        return already_downloaded
+
+    artifacts_url = f"https://dev.azure.com/ROCm-CI/ROCm-CI/_apis/build/builds/{entry['buildId']}/artifacts?api-version=7.1"
+    artifacts = requests.get(artifacts_url).json()
+    for artifact in artifacts['value']:
+        if 'gfx' in artifact['name'] and gpu_target not in artifact['name']:
+            continue
+
+        print('Artifact name: ' + artifact['name'])
+        print('File size: ~' +
+              str(round(int(artifact['resource']['properties']['artifactsize'])/1000000, 2)) + ' MB')
+        download_url = f"{artifact['resource']['downloadUrl']}"
+        download = requests.get(download_url)
+
+        zip_file = Path(output) / f"{artifact['name']}.zip"
+        with open(zip_file, 'wb') as f:
+            f.write(download.content)
+        already_downloaded[entry['buildId']] = True
+
+    return already_downloaded
+
+def main():
+    parser = argparse.ArgumentParser(description="Command line tool for downloading external ci artifacts")
+    parser.add_argument('--target', type=str, dest="target", choices=["gfx90a", "gfx942"], help="Target gfx")
+    parser.add_argument('--manifest', type=str, dest="manifest", help='JSON manifest url or path to local manifest')
+    parser.add_argument('--output_dir', type=str, dest="output", help='Path to download directory')
+    args = parser.parse_args()
+
+    manifest = args.manifest
+    gpu_target = args.target
+
+    if not gpu_target:
+        print("Enter the GPU target (gfx942, gfx90a)")
+        gpu_target = input()
+
+    if not manifest:
+        print("Enter the manifest file (URL or local path)")
+        manifest = input()
+
+    if 'http' in manifest:
+        data = requests.get(manifest).json()
+    else:
+        with open(manifest, 'r') as f:
+            data = json.load(f)
+
+    entries = [e for e in data['current']]
+    entries.extend([e for e in data['dependencies']])
+    get_builds(entries, gpu_target, args.output)
+
+if __name__ == "__main__":
+    main()
--- a/.azuredevops/scripts/download-manifest-artifacts/requirements.txt
+++ b/.azuredevops/scripts/download-manifest-artifacts/requirements.txt
@@ -0,0 +1 @@
+requests
--- a/.azuredevops/templates/steps/docker-container-commit.yml
+++ b/.azuredevops/templates/steps/docker-container-commit.yml
@@ -0,0 +1,82 @@
+# This template creates and uploads a Docker image from the current environment
+# It uses `docker commit` to do so, which can provide more accurate images than the standard template
+# It requires the following conditions:
+# - Job must be run inside a Docker container
+# - The container's external name must be the same as the container's internal hostname
+# - Docker must be installed inside said container and given sufficient permissions
+# Currently, it is only usable for test jobs run on our self-managed systems
+# Jobs run on Azure VMs will not be able to use this template (most if not all build jobs)
+
+parameters:
+- name: gpuTarget
+  type: string
+  default: ''
+- name: environment
+  type: string
+  default: build
+  values:
+    - build
+    - test
+    - combined
+    - amd
+    - nvidia
+- name: extraPaths
+  type: string
+  default: ''
+- name: extraEnvVars
+  type: object
+  default: []
+- name: forceDockerCreation
+  type: boolean
+  default: false
+
+steps:
+  - task: Bash@3
+    displayName: Commit container and initialize Dockerfile
+    condition: or(and(failed(), not(contains(variables['DOCKER_SKIP_GFX'], variables['JOB_GPU_TARGET']))), ${{ eq(parameters.forceDockerCreation, true) }})
+    inputs:
+      workingDirectory: $(Pipeline.Workspace)
+      targetType: inline
+      script: |
+        docker commit $(hostname) az-ci-temp-image:latest
+        echo "FROM az-ci-temp-image:latest" > Dockerfile
+        echo "RUN sudo groupmod -g $(getent group render | awk -F: '{print $3}') render" >> Dockerfile
+        echo "RUN sudo groupmod -g $(getent group docker | awk -F: '{print $3}') docker" >> Dockerfile
+        echo "ENV PATH='$PATH:${{ parameters.extraPaths }}'" >> Dockerfile
+        echo "ENTRYPOINT [\"/bin/bash\"]" >> Dockerfile
+  - ${{ each extraEnvVar in parameters.extraEnvVars }}:
+    - task: Bash@3
+      displayName: Add extra environment variables
+      condition: or(and(failed(), not(contains(variables['DOCKER_SKIP_GFX'], variables['JOB_GPU_TARGET']))), ${{ eq(parameters.forceDockerCreation, true) }})
+      inputs:
+        workingDirectory: $(Pipeline.Workspace)
+        targetType: inline
+        script: echo "ENV ${{ split(extraEnvVar, ':::')[0] }}='${{ split(extraEnvVar, ':::')[1] }}'" >> Dockerfile
+  - task: Bash@3
+    displayName: Print Dockerfile
+    condition: or(and(failed(), not(contains(variables['DOCKER_SKIP_GFX'], variables['JOB_GPU_TARGET']))), ${{ eq(parameters.forceDockerCreation, true) }})
+    inputs:
+      workingDirectory: $(Pipeline.Workspace)
+      targetType: inline
+      script: cat Dockerfile
+  - task: Docker@2
+    displayName: Build and upload Docker image
+    condition: or(and(failed(), not(contains(variables['DOCKER_SKIP_GFX'], variables['JOB_GPU_TARGET']))), ${{ eq(parameters.forceDockerCreation, true) }})
+    inputs:
+      containerRegistry: 'ContainerService3'
+      ${{ if ne(parameters.gpuTarget, '') }}:
+        repository: '$(Build.DefinitionName)-${{ parameters.environment }}-${{ parameters.gpuTarget }}'
+      ${{ else }}:
+        repository: '$(Build.DefinitionName)-${{ parameters.environment }}'
+      Dockerfile: '$(Pipeline.Workspace)/Dockerfile'
+      buildContext: '$(Pipeline.Workspace)'
+  - task: Bash@3
+    condition: or(and(failed(), not(contains(variables['DOCKER_SKIP_GFX'], variables['JOB_GPU_TARGET']))), ${{ eq(parameters.forceDockerCreation, true) }})
+    displayName: "!! Docker Image URL !!"
+    inputs:
+      workingDirectory: $(Pipeline.Workspace)
+      targetType: inline
+      ${{ if ne(parameters.gpuTarget, '') }}:
+        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}-${{ parameters.gpuTarget }}:$(Build.BuildId)" | tr '[:upper:]' '[:lower:]'
+      ${{ else }}:
+        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}:$(Build.BuildId)" | tr '[:upper:]' '[:lower:]'
--- a/.azuredevops/templates/steps/docker-container.yml
+++ b/.azuredevops/templates/steps/docker-container.yml
@@ -334,7 +334,7 @@ steps:
  - task: Docker@2
    condition: or(and(failed(), ${{ not(containsValue(parameters.dockerSkipGfx, parameters.gpuTarget)) }}), ${{ eq(parameters.forceDockerCreation, true) }})
    inputs:
-      containerRegistry: 'ContainerService'
+      containerRegistry: 'ContainerService3'
      ${{ if ne(parameters.gpuTarget, '') }}:
        repository: '$(Build.DefinitionName)-${{ parameters.environment }}-${{ parameters.gpuTarget }}'
      ${{ else }}:
@@ -348,6 +348,6 @@ steps:
      workingDirectory: $(Pipeline.Workspace)
      targetType: inline
      ${{ if ne(parameters.gpuTarget, '') }}:
-        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}-${{ parameters.gpuTarget }}:$(Build.BuildId)"
+        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}-${{ parameters.gpuTarget }}:$(Build.BuildId)" | tr '[:upper:]' '[:lower:]'
      ${{ else }}:
-        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}:$(Build.BuildId)"
+        script: echo "rocmexternalcicd.azurecr.io/$(Build.DefinitionName)-${{ parameters.environment }}:$(Build.BuildId)" | tr '[:upper:]' '[:lower:]'
--- a/.gitmodules
+++ b/.gitmodules
@@ -0,0 +1,251 @@
+[submodule "submodule-srcs/ROCR-Runtime"]
+	path = submodule-srcs/ROCR-Runtime
+	url = https://github.com/rocm/ROCR-Runtime
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/amdsmi"]
+	path = submodule-srcs/amdsmi
+	url = https://github.com/rocm/amdsmi
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rdc"]
+	path = submodule-srcs/rdc
+	url = https://github.com/rocm/rdc
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocm_bandwidth_test"]
+	path = submodule-srcs/rocm_bandwidth_test
+	url = https://github.com/rocm/rocm_bandwidth_test
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocm_smi_lib"]
+	path = submodule-srcs/rocm_smi_lib
+	url = https://github.com/rocm/rocm_smi_lib
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocm-core"]
+	path = submodule-srcs/rocm-core
+	url = https://github.com/rocm/rocm-core
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocm-examples"]
+	path = submodule-srcs/rocm-examples
+	url = https://github.com/rocm/rocm-examples
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocminfo"]
+	path = submodule-srcs/rocminfo
+	url = https://github.com/rocm/rocminfo
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocprofiler"]
+	path = submodule-srcs/rocprofiler
+	url = https://github.com/rocm/rocprofiler
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocprofiler-register"]
+	path = submodule-srcs/rocprofiler-register
+	url = https://github.com/rocm/rocprofiler-register
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocprofiler-sdk"]
+	path = submodule-srcs/rocprofiler-sdk
+	url = https://github.com/rocm/rocprofiler-sdk
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocprofiler-compute"]
+	path = submodule-srcs/rocprofiler-compute
+	url = https://github.com/rocm/rocprofiler-compute
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocprofiler-systems"]
+	path = submodule-srcs/rocprofiler-systems
+	url = https://github.com/rocm/rocprofiler-systems
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/roctracer"]
+	path = submodule-srcs/roctracer
+	url = https://github.com/rocm/roctracer
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/HIP"]
+	path = submodule-srcs/HIP
+	url = https://github.com/rocm/HIP
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hip-tests"]
+	path = submodule-srcs/hip-tests
+	url = https://github.com/rocm/hip-tests
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/HIPIFY"]
+	path = submodule-srcs/HIPIFY
+	url = https://github.com/rocm/HIPIFY
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/clr"]
+	path = submodule-srcs/clr
+	url = https://github.com/rocm/clr
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipother"]
+	path = submodule-srcs/hipother
+	url = https://github.com/rocm/hipother
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/half"]
+	path = submodule-srcs/half
+	url = https://github.com/rocm/half
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/llvm-project"]
+	path = submodule-srcs/llvm-project
+	url = https://github.com/rocm/llvm-project
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/spirv-llvm-translator"]
+	path = submodule-srcs/spirv-llvm-translator
+	url = https://github.com/rocm/spirv-llvm-translator
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/ROCdbgapi"]
+	path = submodule-srcs/ROCdbgapi
+	url = https://github.com/rocm/ROCdbgapi
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/ROCgdb"]
+	path = submodule-srcs/ROCgdb
+	url = https://github.com/rocm/ROCgdb
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocr_debug_agent"]
+	path = submodule-srcs/rocr_debug_agent
+	url = https://github.com/rocm/rocr_debug_agent
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/AMDMIGraphX"]
+	path = submodule-srcs/AMDMIGraphX
+	url = https://github.com/rocm/AMDMIGraphX
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/MIOpen"]
+	path = submodule-srcs/MIOpen
+	url = https://github.com/rocm/MIOpen
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/MIVisionX"]
+	path = submodule-srcs/MIVisionX
+	url = https://github.com/rocm/MIVisionX
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/ROCmValidationSuite"]
+	path = submodule-srcs/ROCmValidationSuite
+	url = https://github.com/rocm/ROCmValidationSuite
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/Tensile"]
+	path = submodule-srcs/Tensile
+	url = https://github.com/rocm/Tensile
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/composable_kernel"]
+	path = submodule-srcs/composable_kernel
+	url = https://github.com/rocm/composable_kernel
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipBLAS-common"]
+	path = submodule-srcs/hipBLAS-common
+	url = https://github.com/rocm/hipBLAS-common
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipBLAS"]
+	path = submodule-srcs/hipBLAS
+	url = https://github.com/rocm/hipBLAS
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipBLASLt"]
+	path = submodule-srcs/hipBLASLt
+	url = https://github.com/rocm/hipBLASLt
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipCUB"]
+	path = submodule-srcs/hipCUB
+	url = https://github.com/rocm/hipCUB
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipFFT"]
+	path = submodule-srcs/hipFFT
+	url = https://github.com/rocm/hipFFT
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipRAND"]
+	path = submodule-srcs/hipRAND
+	url = https://github.com/rocm/hipRAND
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipSOLVER"]
+	path = submodule-srcs/hipSOLVER
+	url = https://github.com/rocm/hipSOLVER
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipSPARSE"]
+	path = submodule-srcs/hipSPARSE
+	url = https://github.com/rocm/hipSPARSE
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipSPARSELt"]
+	path = submodule-srcs/hipSPARSELt
+	url = https://github.com/rocm/hipSPARSELt
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipTensor"]
+	path = submodule-srcs/hipTensor
+	url = https://github.com/rocm/hipTensor
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/hipfort"]
+	path = submodule-srcs/hipfort
+	url = https://github.com/rocm/hipfort
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rccl"]
+	path = submodule-srcs/rccl
+	url = https://github.com/rocm/rccl
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocAL"]
+	path = submodule-srcs/rocAL
+	url = https://github.com/rocm/rocAL
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocALUTION"]
+	path = submodule-srcs/rocALUTION
+	url = https://github.com/rocm/rocALUTION
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocBLAS"]
+	path = submodule-srcs/rocBLAS
+	url = https://github.com/rocm/rocBLAS
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocDecode"]
+	path = submodule-srcs/rocDecode
+	url = https://github.com/rocm/rocDecode
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocJPEG"]
+	path = submodule-srcs/rocJPEG
+	url = https://github.com/rocm/rocJPEG
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocPyDecode"]
+	path = submodule-srcs/rocPyDecode
+	url = https://github.com/rocm/rocPyDecode
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocFFT"]
+	path = submodule-srcs/rocFFT
+	url = https://github.com/rocm/rocFFT
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocPRIM"]
+	path = submodule-srcs/rocPRIM
+	url = https://github.com/rocm/rocPRIM
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocRAND"]
+	path = submodule-srcs/rocRAND
+	url = https://github.com/rocm/rocRAND
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocSHMEM"]
+	path = submodule-srcs/rocSHMEM
+	url = https://github.com/rocm/rocSHMEM
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocSOLVER"]
+	path = submodule-srcs/rocSOLVER
+	url = https://github.com/rocm/rocSOLVER
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocSPARSE"]
+	path = submodule-srcs/rocSPARSE
+	url = https://github.com/rocm/rocSPARSE
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocThrust"]
+	path = submodule-srcs/rocThrust
+	url = https://github.com/rocm/rocThrust
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocWMMA"]
+	path = submodule-srcs/rocWMMA
+	url = https://github.com/rocm/rocWMMA
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rocm-cmake"]
+	path = submodule-srcs/rocm-cmake
+	url = https://github.com/rocm/rocm-cmake
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/rpp"]
+	path = submodule-srcs/rpp
+	url = https://github.com/rocm/rpp
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/TransferBench"]
+	path = submodule-srcs/TransferBench
+	url = https://github.com/rocm/TransferBench
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/openmp-extras/aomp"]
+	path = submodule-srcs/openmp-extras/aomp
+	url = https://github.com/rocm/aomp
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/openmp-extras/aomp-extras"]
+	path = submodule-srcs/openmp-extras/aomp-extras
+	url = https://github.com/rocm/aomp-extras
+	branch = release/rocm-rel-6.4
+[submodule "submodule-srcs/ROCK-Kernel-Driver"]
+	path = submodule-srcs/ROCK-Kernel-Driver
+	url = https://github.com/rocm/ROCK-Kernel-Driver
--- a/.wordlist.txt
+++ b/.wordlist.txt
@@ -76,6 +76,7 @@ Concretized
 Conda
 ConnectX
 CuPy
+da
 Dashboarding
 DBRX
 DDR
@@ -751,6 +752,7 @@ profilers
 protobuf
 pseudorandom
 py
+pytorch
 recommender
 recommenders
 quantile
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -125,8 +125,7 @@ Some workaround options are as follows:
 - The `pasid` field in struct `amdsmi_process_info_t` will be deprecated in a future ROCm release.

 ```{note}
-See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/rocm-6.4.x/CHANGELOG.md) for details, examples,
-and in-depth descriptions.
+See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
 ```

 ### **AMDMIGraphX** (2.12.0)
@@ -678,7 +677,6 @@ The following lists the backward incompatible changes planned for upcoming major

 * Roofline support for Ubuntu 24.04.
 * Experimental support `rocprofv3` (not enabled as default).
-* Experimental feature: Spatial multiplexing.

 #### Resolved issues

@@ -737,8 +735,7 @@ The following lists the backward incompatible changes planned for upcoming major
 - Fixed `rsmi_dev_target_graphics_version_get`, `rocm-smi --showhw`, and `rocm-smi --showprod` not displaying graphics version correctly for Instinct MI200 series, MI100 series, and RDNA3-based GPUs. 

 ```{note}
-See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/rocm-6.4.x/CHANGELOG.md) for details, examples,
-and in-depth descriptions.
+See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
 ```

 ### **ROCm Systems Profiler** (1.0.0)
@@ -3456,7 +3453,7 @@ See [issue #3499](https://github.com/ROCm/ROCm/issues/3499) on GitHub.

 - Error when running Omniperf with an application with command line arguments. As a workaround, create an
  intermediary script to call the application with the necessary arguments, then call the script with Omniperf. This
-  issue is fixed in a future release of Omniperf. See [#347](https://github.com/ROCm/omniperf/issues/347).
+  issue is fixed in a future release of Omniperf. See [#347](https://github.com/ROCm/rocprofiler-compute/issues/347).

 - Omniperf might not work with AMD Instinct MI300 accelerators out of the box, resulting in the following error:
  "*ERROR gfx942 is not enabled rocprofv1. Available profilers include: ['rocprofv2']*". As a workaround, add the
@@ -4333,7 +4330,7 @@ for a complete overview of this release.
 * New multiple node and GPU support.
  Unsmoothed and smoothed aggregations and Ruge-Stueben AMG now work with multiple nodes
  and GPUs. For more information, refer to the 
-  [API documentation](https://rocm.docs.amd.com/projects/rocALUTION/en/latest/usermanual/solvers.html#unsmoothed-aggregation-amg).
+  [API documentation](https://rocm.docs.amd.com/projects/rocALUTION/en/docs-6.1.0/usermanual/solvers.html#unsmoothed-aggregation-amg).

 ### **rocDecode** (0.5.0)

--- a/README.md
+++ b/README.md
@@ -20,12 +20,17 @@ source software compilers, debuggers, and libraries. ROCm is fully integrated in
 (ML) frameworks, such as PyTorch and TensorFlow.

 ## Getting the ROCm Source Code
+AMD ROCm is built from open source software. It is, therefore, possible to modify the various components of ROCm by downloading the source code and rebuilding the components. AMD ROCm is built from open source software. It is, therefore, possible to modify the various components of ROCm by downloading the source code and rebuilding the components. The source code for ROCm components can be cloned from each of the GitHub repositories using git.

-AMD ROCm is built from open source software. It is, therefore, possible to modify the various components of ROCm by downloading the source code and rebuilding the components. The source code for ROCm components can be cloned from each of the GitHub repositories using git.  For easy access to download the correct versions of each of these tools, the ROCm repository contains a repo manifest file called [default.xml](./default.xml). You can use this manifest file to download the source code for ROCm software.
+There are two methods to clone/sync the ROCm sources. you can use either of the methods to sync the ROCm Sources
+
+## [Method 1]
+
+For easy access to download the correct versions of each of these tools, the ROCm repository contains a repo manifest file called [default.xml](./default.xml). You can use this manifest file to download the source code for ROCm software.

 ### Installing the repo tool

-The repo tool from Google allows you to manage multiple git repositories simultaneously. Run the following commands to install the repo tool:
+We need the repo tool to work with the manifest file. The repo tool from Google allows you to manage multiple git repositories simultaneously. Run the following commands to install the repo tool:

 ```bash
 mkdir -p ~/bin/
@@ -43,11 +48,12 @@ Some ROCm projects use the Git Large File Storage (LFS) format that may require
 sudo apt-get install git-lfs
 ```

-### Downloading the ROCm source code
-
 The following example shows how to use the repo tool to download the ROCm source code. If you choose a directory other than ~/bin/ to install the repo tool, you must use that chosen directory in the code as shown below:

 ```bash
+# --------------------------------------
+# Step1: clone source code
+# --------------------------------------
 mkdir -p ~/ROCm/
 cd ~/ROCm/
 export ROCM_VERSION=6.4.0
@@ -57,29 +63,35 @@ export ROCM_VERSION=6.4.0

 **Note:** Using this sample code will cause the repo tool to download the open source code associated with the specified ROCm release. Ensure that you have ssh-keys configured on your machine for your GitHub ID prior to the download as explained at [Connecting to GitHub with SSH](https://docs.github.com/en/authentication/connecting-to-github-with-ssh).

-## Building the ROCm source code
+
+## [Method 2]
+  
+This repository contains the source code for ROCm. Below you will find instructions for cloning the repository using submodules as an alternative to using the `repo` tool.  
+  
+## Cloning with Git Submodules  
+  
+As an alternative method, you can clone this repository and its submodules using Git's submodule functionality. This approach may be preferred if you are familiar with Git and wish to avoid using the `repo` tool.  
+  
+To clone the repository along with all its submodules, use the following command:  
+  
+```bash
+# --------------------------------------
+# Step1: clone source code
+# --------------------------------------
+git clone --recurse-submodules --remote-submodules  https://github.com/ROCm/ROCm.git
+cd ROCm/submodule-srcs
+```

 Each ROCm component repository contains directions for building that component, such as the rocSPARSE documentation [Installation and Building for Linux](https://rocm.docs.amd.com/projects/rocSPARSE/en/latest/install/Linux_Install_Guide.html). Refer to the specific component documentation for instructions on building the repository.

 Each release of the ROCm software supports specific hardware and software configurations. Refer to [System requirements (Linux)](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html) for the current supported hardware and OS.

-## Build ROCm from source
-
 The Build will use as many processors as it can find to build in parallel. Some of the compiles can consume as much as 10GB of RAM, so make sure you have plenty of Swap Space !

 By default the ROCm build will compile for all supported GPU architectures and will take approximately 500 CPU hours.
 The Build time will reduce significantly if we limit the GPU Architecture/s against which we need to build by using the environment variable GPU_ARCHS as mentioned below.

 ```bash
-# --------------------------------------
-# Step1: clone source code
-# --------------------------------------
-
-mkdir -p ~/WORKSPACE/      # Or any folder name other than WORKSPACE
-cd ~/WORKSPACE/
-export ROCM_VERSION=6.4.0
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
-~/bin/repo sync

 # --------------------------------------
 # Step 2: Prepare build environment
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -80,23 +80,23 @@ for the complete list of PyTorch versions tested for compatibility with ROCm. Se

 ### VP9 support added to rocDecode and rocPyDecode

-VP9 support is added to [rocDecode](https://github.com/ROCm/rocDecode) and [rocPyDecode](https://github.com/ROCm/rocPyDecode), allowing enhanced codec support with VP9 encoding.
+VP9 support is added to [rocDecode](https://rocm.docs.amd.com/projects/rocDecode/en/latest/index.html) and [rocPyDecode](https://rocm.docs.amd.com/projects/rocPyDecode/en/latest/index.html), allowing enhanced codec support with VP9 encoding.

 ### Bitstream reader support added to rocDecode

-The new bitstream reader feature has been added to [rocDecode](https://github.com/ROCm/rocDecode). It contains built-in stream file parsers, including an elementary stream file parser and an IVF container file parser. It enables decoding without the requirement for FFmpeg demuxer. The reader can parse AVC, HEVC, and AV1 elementary stream files, and AV1 IVF container files. See [Using the rocDecode bitstream reader APIs](https://rocm.docs.amd.com/projects/rocDecode/en/latest/how-to/using-rocDecode-bitstream.html) for more information.
+The new bitstream reader feature has been added to [rocDecode](https://rocm.docs.amd.com/projects/rocDecode/en/latest/index.html). It contains built-in stream file parsers, including an elementary stream file parser and an IVF container file parser. It enables decoding without the requirement for FFmpeg demuxer. The reader can parse AVC, HEVC, and AV1 elementary stream files, and AV1 IVF container files. See [Using the rocDecode bitstream reader APIs](https://rocm.docs.amd.com/projects/rocDecode/en/latest/how-to/using-rocDecode-bitstream.html) for more information.

 ### DLPack support added to rocAL

-[rocAL](https://github.com/ROCm/rocAL) now supports DLPack, allowing rocAL GPU tensor to be exchanged with PyTorch. This allows faster data processing by leveraging DLPack tensors. It also improves the GPU based workload performance. For more details, see [DLpack github reference documentation](https://dmlc.github.io/dlpack/latest/).
+[rocAL](https://rocm.docs.amd.com/projects/rocAL/en/latest/index.html) now supports DLPack, allowing rocAL GPU tensor to be exchanged with PyTorch. This allows faster data processing by leveraging DLPack tensors. It also improves the GPU based workload performance. For more details, see [DLpack github reference documentation](https://dmlc.github.io/dlpack/latest/).

 ### ROCm Compute Profiler updates

-* ROCm Compute Profiler now supports:
+ROCm Compute Profiler now supports:

-    * ROCprofiler-SDK (`rocprofv3`)
-    * Experimental multi-nodes profiling support.
-    * Roofline plot for 64-bit floating point (FP64) and 32-bit floating point (FP32) data types.
+* ROCprofiler-SDK (`rocprofv3`)
+* Experimental multi-nodes profiling support.
+* Roofline plot for 64-bit floating point (FP64) and 32-bit floating point (FP32) data types.

 ### ROCm Systems Profiler updates

@@ -629,8 +629,7 @@ Some workaround options are as follows:
 - The `pasid` field in struct `amdsmi_process_info_t` will be deprecated in a future ROCm release.

 ```{note}
-See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/rocm-6.4.x/CHANGELOG.md) for details, examples,
-and in-depth descriptions.
+See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
 ```

 ### **AMDMIGraphX** (2.12.0)
@@ -1182,7 +1181,6 @@ The following lists the backward incompatible changes planned for upcoming major

 * Roofline support for Ubuntu 24.04.
 * Experimental support `rocprofv3` (not enabled as default).
-* Experimental feature: Spatial multiplexing.

 #### Resolved issues

@@ -1241,8 +1239,7 @@ The following lists the backward incompatible changes planned for upcoming major
 - Fixed `rsmi_dev_target_graphics_version_get`, `rocm-smi --showhw`, and `rocm-smi --showprod` not displaying graphics version correctly for Instinct MI200 series, MI100 series, and RDNA3-based GPUs. 

 ```{note}
-See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/rocm-6.4.x/CHANGELOG.md) for details, examples,
-and in-depth descriptions.
+See the full [ROCm SMI changelog](https://github.com/ROCm/rocm_smi_lib/blob/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
 ```

 ### **ROCm Systems Profiler** (1.0.0)
@@ -1661,6 +1658,14 @@ When running the hipBLASLt library using the transpose configuration (TT) with F

 In RCCL library, you might receive incorrect results in All-Reduce collective API, when using Link Layer (LL) protocol in graph mode while MSCCL++ is enabled. This issue occurs when the protocal state information are updated in the host-side code instead of in a kernel, which is not supported in graph mode. As a workaround, you can disable MSCCL++ by setting the environment variable `RCCL_MSCCLPP_ENABLE=0`. However, consider that this might negatively impact the performance. The issue will be fixed in a future ROCm release. See [GitHub issue #4616](https://github.com/ROCm/ROCm/issues/4616).

+### ROCm installation might fail in some Linux distribution kernels
+
+ROCm 6.4.0 might encounter an installation issue on some Linux distribution kernels, including the [patch](https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=9011e49d54dcc7653ebb8a1e05b5badb5ecfa9f9) that adds more restrictions for symbol lookups. This change breaks the standard symbol lookup methods in the kernel.
+
+As a result, the AMD kernel driver Dynamic Kernel Mode Support (DKMS) package might fail to install when the symbols required to use the PeerDirect API with Mellanox NICs are not found. In the event of such a failure, the AMD DKMS package attempts to locate these symbols directly from the Mellanox installation. However, for non-standard Mellanox NIC installations, the AMD DKMS package might not be able to locate these symbols.
+
+This issue will be fixed in a future ROCm release. As a workaround, you can run the script that allows the DKMS package to locate Mellanox symbols from the Mellanox installation without you requiring to update the new DKMS package. For downloading the script and getting more details on the issue and workaround, see [GitHub issue #4671](https://github.com/ROCm/ROCm/issues/4671).
+
 ## ROCm resolved issues

 The following are previously known issues resolved in this release. For resolved issues related to
--- a/docs/compatibility/compatibility-matrix-historical-6.0.csv
+++ b/docs/compatibility/compatibility-matrix-historical-6.0.csv
@@ -1,121 +1,121 @@
-ROCm Version,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
-      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
-      ,,,,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
-      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
-      ,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
-      ,SLES 15 SP6,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
-      ,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
-      ,"Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
-,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
-,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,,,,,,,,,,,,
-      ,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
-      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
-      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
-      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
-      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
-      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
-      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
-      ,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
-      ,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
-      ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
-,,,,,,,,,,,,,,,
-      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
-      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
-      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
-,,,,,,,,,,,,,,,
-      ,,,,,,,,,,,,,,,
-      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
-      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
-      ,,,,,,,,,,,,,,,
-      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      Thrust,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-      CUB,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-,,,,,,,,,,,,,,,
-      KMD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      KMD versions,"6.4.x, 6.3.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
-      ,,,,,,,,,,,,,,,
-      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
-      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
-      :doc:`MIOpen <miopen:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
-      :doc:`rocAL <rocal:index>`,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
-      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`RPP <rpp:index>`,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
-      ,,,,,,,,,,,,,,,
-      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`RCCL <rccl:index>`,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
-      ,,,,,,,,,,,,,,,
-      MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
-      :doc:`hipBLASLt <hipblaslt:index>`,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
-      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
-      :doc:`hipfort <hipfort:index>`,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
-      :doc:`hipRAND <hiprand:index>`,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
-      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
-      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
-      :doc:`rocALUTION <rocalution:index>`,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
-      :doc:`rocBLAS <rocblas:index>`,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
-      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
-      :doc:`rocRAND <rocrand:index>`,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
-      :doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
-      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
-      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
-      :doc:`Tensile <tensile:src/index>`,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
-      ,,,,,,,,,,,,,,,
-      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`hipCUB <hipcub:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
-      :doc:`rocPRIM <rocprim:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      ,,,,,,,,,,,,,,,
-      SUPPORT LIBS,,,,,,,,,,,,,,,
-      `hipother <https://github.com/ROCm/hipother>`_,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.2,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
-      ,,,,,,,,,,,,,,,
-      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`AMD SMI <amdsmi:index>`,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
-      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
-      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60102,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
-      ,,,,,,,,,,,,,,,
-      PERFORMANCE TOOLS,,,,,,,,,,,,,,,
-      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60102,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCTracer <roctracer:index>`,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60102,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
-      ,,,,,,,,,,,,,,,
-      DEVELOPMENT TOOLS,,,,,,,,,,,,,,,
-      :doc:`HIPIFY <hipify:index>`,19.0.0.25104,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
-      ,,,,,,,,,,,,,,,
-      COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
-      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`llvm-project <llvm-project:index>`,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-,,,,,,,,,,,,,,,
-      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      :doc:`HIP <hip:index>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
-      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0
+ROCm Version,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
+      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4","Ubuntu 22.04.5, 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3","Ubuntu 22.04.4, 22.04.3, 22.04.2","Ubuntu 22.04.4, 22.04.3, 22.04.2"
+      ,,,,,,,,,,"Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5","Ubuntu 20.04.6, 20.04.5"
+      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
+      ,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.10, 8.9","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8","RHEL 8.9, 8.8"
+      ,SLES 15 SP6,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
+      ,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
+      ,"Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
+,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
+,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,,,,,,,,,,,,
+      ,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
+      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
+      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
+      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
+      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
+      ,.. _gpu-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100,gfx1100
+      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
+      ,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
+      ,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
+      ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
+,,,,,,,,,,,,,,,
+      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
+      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
+      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
+      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
+,,,,,,,,,,,,,,,
+      ,,,,,,,,,,,,,,,
+      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
+      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
+      ,,,,,,,,,,,,,,,
+      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      Thrust,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+      CUB,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
+,,,,,,,,,,,,,,,
+      KMD & USER SPACE [#kfd_support-past-60]_,.. _kfd-userspace-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      KMD versions,"6.4.x, 6.3.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
+      ,,,,,,,,,,,,,,,
+      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
+      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
+      :doc:`MIOpen <miopen:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
+      :doc:`rocAL <rocal:index>`,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
+      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`RPP <rpp:index>`,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
+      ,,,,,,,,,,,,,,,
+      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`RCCL <rccl:index>`,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
+      ,,,,,,,,,,,,,,,
+      MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
+      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
+      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
+      :doc:`hipfort <hipfort:index>`,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
+      :doc:`hipRAND <hiprand:index>`,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
+      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
+      :doc:`rocALUTION <rocalution:index>`,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
+      :doc:`rocBLAS <rocblas:index>`,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
+      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
+      :doc:`rocRAND <rocrand:index>`,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
+      :doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
+      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
+      :doc:`Tensile <tensile:src/index>`,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
+      ,,,,,,,,,,,,,,,
+      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`hipCUB <hipcub:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
+      :doc:`rocPRIM <rocprim:index>`,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
+      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
+      ,,,,,,,,,,,,,,,
+      SUPPORT LIBS,,,,,,,,,,,,,,,
+      `hipother <https://github.com/ROCm/hipother>`_,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
+      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,20240607.5.7,20240607.5.7,20240607.4.05,20240607.1.4246,20240125.5.08,20240125.5.08,20240125.5.08,20240125.3.30,20231016.2.245,20231016.2.245
+      ,,,,,,,,,,,,,,,
+      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`AMD SMI <amdsmi:index>`,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
+      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
+      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
+      ,,,,,,,,,,,,,,,
+      PERFORMANCE TOOLS,,,,,,,,,,,,,,,
+      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
+      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
+      :doc:`ROCTracer <roctracer:index>`,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
+      ,,,,,,,,,,,,,,,
+      DEVELOPMENT TOOLS,,,,,,,,,,,,,,,
+      :doc:`HIPIFY <hipify:index>`,19.0.0.25104,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
+      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
+      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
+      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
+      ,,,,,,,,,,,,,,,
+      COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
+      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
+      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      :doc:`llvm-project <llvm-project:index>`,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
+,,,,,,,,,,,,,,,
+      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      :doc:`HIP <hip:index>`,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
+      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
+      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0
--- a/docs/compatibility/ml-compatibility/jax-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/jax-compatibility.rst
@@ -58,7 +58,7 @@ Docker image compatibility
 AMD validates and publishes ready-made `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
 with ROCm backends on Docker Hub. The following Docker image tags and
 associated inventories are validated for
-`ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. Click the |docker-icon|
+`ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click the |docker-icon|
 icon to view the image on Docker Hub.

 .. list-table:: JAX Docker image components
@@ -68,24 +68,26 @@ icon to view the image on Docker Hub.
      - 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>
+           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.4-jax0.4.35-py3.12/images/sha256-4069398229078f3311128b6d276c6af377c7e97d3363d020b0bf7154fae619ca"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>

-      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
      - Ubuntu 24.04
      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
+
    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.3.1-jax0.4.31-py3.10/images/sha256-f88eddad8f47856d8640b694da4da347ffc1750d7363175ab7dc872e82b43324"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
+           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.4-jax0.4.35-py3.10/images/sha256-a137f901f91ce6c13b424c40a6cf535248d4d20fd36d5daf5eee0570190a4a11"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>

-      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
      - Ubuntu 22.04
      - `3.10.14 <https://www.python.org/downloads/release/python-31014/>`_

 AMD publishes `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
 with ROCm backends on Docker Hub. The following Docker image tags and
-associated inventories are tested for `ROCm 6.2.4 <https://repo.radeon.com/rocm/apt/6.2.4/>`_.
+associated inventories are tested for `ROCm 6.3.2 <https://repo.radeon.com/rocm/apt/6.3.2/>`_.

 .. list-table:: JAX community Docker image components
    :header-rows: 1
@@ -94,27 +96,30 @@ associated inventories are tested for `ROCm 6.2.4 <https://repo.radeon.com/rocm/
      - 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>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.12.8/images/sha256-25dfaa0183e274bd0a3554a309af3249c6f16a1793226cb5373f418e39d3146a"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
      - Ubuntu 22.04
-      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
+      - `3.12.8 <https://www.python.org/downloads/release/python-3128/>`_
+
    * - .. 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>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.11.11/images/sha256-ff9baeca9067d13e6c279c911e5a9e5beed0817d24fafd424367cc3d5bd381d7"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
      - Ubuntu 22.04
-      - `3.11.10 <https://www.python.org/downloads/release/python-31110/>`_
+      - `3.11.11 <https://www.python.org/downloads/release/python-31111/>`_
+
    * - .. 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>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.10.16/images/sha256-8bab484be1713655f74da51a191ed824bb9d03db1104fd63530a1ac3c37cf7b1"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

-      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
      - Ubuntu 22.04
-      - `3.10.15 <https://www.python.org/downloads/release/python-31015/>`_
+      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_

 Critical ROCm libraries for JAX
 ================================================================================
--- a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
@@ -58,7 +58,7 @@ Docker image compatibility

 AMD validates and publishes ready-made `PyTorch images <https://hub.docker.com/r/rocm/pytorch>`_
 with ROCm backends on Docker Hub. The following Docker image tags and
-associated inventories are validated for `ROCm 6.3.3 <https://repo.radeon.com/rocm/apt/6.3.3/>`_.
+associated inventories are validated for `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_.
 Click the |docker-icon| icon to view the image on Docker Hub.

 .. list-table:: PyTorch Docker image components
@@ -79,9 +79,84 @@ Click the |docker-icon| icon to view the image on Docker Hub.

    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3.3_ubuntu24.04_py3.12_pytorch_release_2.4.0/images/sha256-6c798857b2c9526b44ba535710b93a1737546acea79b53a93c646195c272f1d5"><i class="fab fa-docker fa-lg"></i></a>
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.6.0/images/sha256-ab1d350b818b90123cfda31363019d11c0d41a8f12a19e3cb2cb40cf0261137d"><i class="fab fa-docker fa-lg"></i></a>

-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`_
+      - 24.04
+      - `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
+      - `1.6.0 <https://github.com/ROCm/apex/tree/release/1.6.0>`_
+      - `0.21.0 <https://github.com/pytorch/vision/tree/v0.21.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `master <https://bitbucket.org/icl/magma/src/master/>`_
+      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
+      - `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.6.0/images/sha256-130536fdfceb374626a7bcb8d00b9d796ddfc3115677d51229e5b852d96b5ef4"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.6.0 <https://github.com/ROCm/pytorch/tree/release/2.6>`_
+      - 22.04
+      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.6.0 <https://github.com/ROCm/apex/tree/release/1.6.0>`_
+      - `0.21.0 <https://github.com/pytorch/vision/tree/v0.21.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `master <https://bitbucket.org/icl/magma/src/master/>`_
+      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
+      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.5.1/images/sha256-20a2e24b4738dc1f1a44a04f23827918b56c99f7e697e6fccb90e9c4fae8ca9b"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
+      - 24.04
+      - `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
+      - `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
+      - `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `master <https://bitbucket.org/icl/magma/src/master/>`_
+      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
+      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.11_pytorch_release_2.5.1/images/sha256-f09cb8ca39cc39222fb554060711f5c19130f7b4047aaf41fad4ba3ec470ca03"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
+      - 22.04
+      - `3.11.9 <https://www.python.org/downloads/release/python-3119/>`_
+      - `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
+      - `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `master <https://bitbucket.org/icl/magma/src/master/>`_
+      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
+      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.5.1/images/sha256-a91c100d1fe608dae3eb7f60a751630363d4027ac3d077d428e92945204c338e"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.5.1 <https://github.com/ROCm/pytorch/tree/release/2.5>`_
+      - 22.04
+      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.5.0 <https://github.com/ROCm/apex/tree/release/1.5.0>`_
+      - `0.20.1 <https://github.com/pytorch/vision/tree/v0.20.1>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `master <https://bitbucket.org/icl/magma/src/master/>`_
+      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
+      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.4.1/images/sha256-66a89ce6485bb887af74bb9bd76bb613ab9834a6b1374649ea7ae379883454a4"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
      - 24.04
      - `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
@@ -94,74 +169,29 @@ Click the |docker-icon| icon to view the image on Docker Hub.

    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3.3_ubuntu22.04_py3.10_pytorch_release_2.4.0/images/sha256-a09b21248133876fc8912a5ff4e6ee2c8d62b14120313e426b3dadda5702713d"><i class="fab fa-docker fa-lg"></i></a>
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.4.1/images/sha256-c716cf167e6e49893f11de03606ed37044153aca089e74ca615065c06877f86b"><i class="fab fa-docker fa-lg"></i></a>

-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
      - 22.04
      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.7 <https://github.com/open-mpi/ompi/tree/v4.0.7>`_
+      - `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/rocm6.3.3_ubuntu22.04_py3.9_pytorch_release_2.4.0/images/sha256-963187534467f0f9da77996762fc1d112a6faa5372277c348a505533e7876ec8"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
-      - 22.04
-      - `3.9.21 <https://www.python.org/downloads/release/python-3921/>`_
-      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
-      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
-      - `4.0.7 <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/rocm6.3.3_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-952f2621bd2bf3078bef19061e05b209105a82a7908e7e6cdf85014938a4d93a"><i class="fab fa-docker fa-lg"></i></a>
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-0434cbc9b07b2c26e39480d7447f676f9057a1054dcff00e0050c25a6eddbd3c"><i class="fab fa-docker fa-lg"></i></a>

      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
-      - 22.04
-      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
+      - 24.04
+      - `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
      - `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
      - `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
-      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
-      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3.3_ubuntu22.04_py3.10_pytorch_release_2.2.1/images/sha256-a2fe20e170feb9e05da3e5728bb98e40d08567e137be8e6ba797962ed2852608"><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/2.13.0>`_
-      - `master <https://bitbucket.org/icl/magma/src/master/>`_
-      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
-      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
-      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
-
-    * - .. raw:: html
-
-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3.3_ubuntu20.04_py3.9_pytorch_release_2.2.1/images/sha256-7f231937c897cca5f89e360be33c70a2017d60f62d1fbe81292be48c15fe345b"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `2.2.1 <https://github.com/ROCm/pytorch/tree/release/2.2>`_
-      - 20.04
-      - `3.9.21 <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>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
      - `master <https://bitbucket.org/icl/magma/src/master/>`_
      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
      - `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
@@ -169,29 +199,14 @@ Click the |docker-icon| icon to view the image on Docker Hub.

    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3.3_ubuntu22.04_py3.9_pytorch_release_1.13.1/images/sha256-616a47758004f91951e2da6c1fe291f903de65a7b2318d4b18359b48fe3032f4"><i class="fab fa-docker fa-lg"></i></a>
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-688b1c0073092615fb98778d78b16191e506097ee116a2d3d2628b264d5d367b"><i class="fab fa-docker fa-lg"></i></a>

-      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
+      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
      - 22.04
-      - `3.9.21 <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>`_
-      - `2.19.0 <https://github.com/tensorflow/tensorboard/tree/2.19>`_
-      - `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/rocm6.3.3_ubuntu20.04_py3.9_pytorch_release_1.13.1/images/sha256-a2cfb365aea58b84595e241ffdb0d5ef3e6566e98c10b5499f4aa29983a74ea2"><i class="fab fa-docker fa-lg"></i></a>
-
-      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
-      - 20.04
-      - `3.9.21 <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>`_
+      - `3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
+      - `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13>`_
      - `master <https://bitbucket.org/icl/magma/src/master/>`_
      - `1.10.0 <https://github.com/openucx/ucx/tree/v1.10.0>`_
      - `4.0.3 <https://github.com/open-mpi/ompi/tree/v4.0.3>`_
--- a/docs/compatibility/ml-compatibility/tensorflow-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/tensorflow-compatibility.rst
@@ -56,7 +56,7 @@ Docker image compatibility
 AMD validates and publishes ready-made `TensorFlow images
 <https://hub.docker.com/r/rocm/tensorflow>`_ with ROCm backends on
 Docker Hub. The following Docker image tags and associated inventories are
-validated for `ROCm 6.3.3 <https://repo.radeon.com/rocm/apt/6.3.3/>`_. Click
+validated for `ROCm 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click
 the |docker-icon| icon to view the image on Docker Hub.

 .. list-table:: TensorFlow Docker image components
@@ -64,57 +64,91 @@ the |docker-icon| icon to view the image on Docker Hub.

    * - Docker image
      - TensorFlow
+      - Ubuntu
      - Dev
      - Python
      - TensorBoard

    * - .. raw:: html

-      - `rocm/tensorflow`__
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-dev/images/sha256-fa9cf5fa6c6079a7118727531ccd0056c6e3224a42c3d6e78a49e7781daafff4"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
      - `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
      - dev
+      - 24.04
      - `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
      - `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_

    * - .. raw:: html

-      - `rocm/tensorflow`__
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-runtime/images/sha256-14addca4b92a47c806b83ebaeed593fc6672cd99f0017ed8dad759fe72ed0309"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
+      - runtime
+      - 24.04
+      - `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
+      - `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.18-dev/images/sha256-f5e151060df04ff5fb59f5604b49cd371931bbe75b06aec9fe7781397c4be0ce"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
      - `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
      - dev
+      - 22.04
      - `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
      - `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_

    * - .. raw:: html

-      - `rocm/tensorflow`__
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.18-runtime/images/sha256-5cd4c03fdb1036570c0d4929da60a65c4466998dc80f1dc8a5a0b173eae017fb"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
+      - runtime
+      - 22.04
+      - `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
+      - `TensorBoard 2.18.0 <https://github.com/tensorflow/tensorboard/tree/2.18.0>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.17-dev/images/sha256-b3add80e374a2db2d1088d746e740afa89d439aca02cacba959ad298f5cd2b3f"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
      - `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
      - dev
+      - 24.04
      - `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_

    * - .. raw:: html

-      - `rocm/tensorflow`__
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.17-runtime/images/sha256-3a244f026c32177eff7958ffbad390de85b438b2b48b455cc39f15d70fa1270d"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.18.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp312-cp312-manylinux_2_28_x86_64.whl>`__
+      - runtime
+      - 24.04
+      - `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
+      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.17-dev/images/sha256-e0cecdfacb59169335049983cdab6da578c209bb9f4d08aad97e184ae59171a6"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
      - `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
      - dev
+      - 22.04
      - `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_

    * - .. raw:: html

-      - `rocm/tensorflow`__
-      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
-      - dev
-      - `Python 3.12.4 <https://www.python.org/downloads/release/python-3124/>`_
-      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.10-tf2.17-runtime/images/sha256-6f43de12f7eb202791b698ac51d28b72098de90034dbcd48486629b0125f7707"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>

-    * - .. raw:: html
-
-      - `rocm/tensorflow`__
-      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.16.2-cp310-cp310-manylinux_2_28_x86_64.whl>`__
-      - dev
+      - `tensorflow-rocm 2.17.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.17.1-cp310-cp310-manylinux_2_28_x86_64.whl>`__
+      - runtime
+      - 22.04
      - `Python 3.10.16 <https://www.python.org/downloads/release/python-31016/>`_
-      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
+      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
+

 Critical ROCm libraries for TensorFlow
 ===============================================================================
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -70,6 +70,7 @@ article_pages = [
    {"file": "how-to/rocm-for-ai/inference/hugging-face-models", "os": ["linux"]},
    {"file": "how-to/rocm-for-ai/inference/llm-inference-frameworks", "os": ["linux"]},
    {"file": "how-to/rocm-for-ai/inference/vllm-benchmark", "os": ["linux"]},
+    {"file": "how-to/rocm-for-ai/inference/pytorch-inference-benchmark", "os": ["linux"]},
    {"file": "how-to/rocm-for-ai/inference/deploy-your-model", "os": ["linux"]},

    {"file": "how-to/rocm-for-ai/inference-optimization/index", "os": ["linux"]},
--- a/docs/data/how-to/rocm-for-ai/inference/pytorch-inference-benchmark-models.yaml
+++ b/docs/data/how-to/rocm-for-ai/inference/pytorch-inference-benchmark-models.yaml
@@ -0,0 +1,25 @@
+pytorch_inference_benchmark:
+  unified_docker:
+    latest: &rocm-pytorch-docker-latest
+      pull_tag: rocm/pytorch:latest
+      docker_hub_url:
+      rocm_version:
+      pytorch_version:
+      hipblaslt_version:
+  model_groups:
+    - group: CLIP
+      tag: clip
+      models:
+      - model: CLIP
+        mad_tag: pyt_clip_inference
+        model_repo: laion/CLIP-ViT-B-32-laion2B-s34B-b79K
+        url: https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K
+        precision: float16
+    - group: Chai-1
+      tag: chai
+      models:
+      - model: Chai-1
+        mad_tag: pyt_chai1_inference
+        model_repo: meta-llama/Llama-3.1-8B-Instruct
+        url: https://huggingface.co/chaidiscovery/chai-1
+        precision: float16
--- a/docs/how-to/rocm-for-ai/inference/deploy-your-model.rst
+++ b/docs/how-to/rocm-for-ai/inference/deploy-your-model.rst
@@ -16,8 +16,7 @@ ROCm supports vLLM and Hugging Face TGI as major LLM-serving frameworks.
 Serving using vLLM
 ==================

-vLLM is a fast and easy-to-use library for LLM inference and serving. vLLM officially supports ROCm versions 5.7 and
-6.0. AMD is actively working with the vLLM team to improve performance and support later ROCm versions.
+vLLM is a fast and easy-to-use library for LLM inference and serving. AMD is actively working with the vLLM team to improve performance and support the latest ROCm versions.

 See the `GitHub repository <https://github.com/vllm-project/vllm>`_ and `official vLLM documentation
 <https://docs.vllm.ai/>`_ for more information.
@@ -31,9 +30,9 @@ vLLM installation
 vLLM supports two ROCm-capable installation methods. Refer to the official documentation use the following links.

 -  `Build from source with Docker
-   <https://docs.vllm.ai/en/latest/getting_started/amd-installation.html#build-from-source-docker-rocm>`_ (recommended)
+   <https://docs.vllm.ai/en/latest/getting_started/installation/gpu.html?device=rocm#build-image-from-source>`_ (recommended)

-  `Build from source <https://docs.vllm.ai/en/latest/getting_started/amd-installation.html#build-from-source-rocm>`_
+-  `Build from source <https://docs.vllm.ai/en/latest/getting_started/installation/gpu.html?device=rocm#build-wheel-from-source>`_

 vLLM walkthrough
 ----------------
--- a/docs/how-to/rocm-for-ai/inference/llm-inference-frameworks.rst
+++ b/docs/how-to/rocm-for-ai/inference/llm-inference-frameworks.rst
@@ -36,7 +36,7 @@ Installing vLLM

      git clone https://github.com/vllm-project/vllm.git
      cd vllm
-      docker build -f Dockerfile.rocm -t vllm-rocm .
+      docker build -f docker/Dockerfile.rocm -t vllm-rocm .

 .. tab-set::

--- a/docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
+++ b/docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
@@ -0,0 +1,163 @@
+.. meta::
+   :description: Learn how to validate LLM inference performance on MI300X accelerators using AMD MAD and the
+                 ROCm PyTorch Docker image.
+   :keywords: model, MAD, automation, dashboarding, validate, pytorch
+
+*************************************
+PyTorch inference performance testing
+*************************************
+
+.. _pytorch-inference-benchmark-docker:
+
+.. datatemplate:yaml:: /data/how-to/rocm-for-ai/inference/pytorch-inference-benchmark-models.yaml
+
+   {% set unified_docker = data.pytorch_inference_benchmark.unified_docker.latest %}
+   {% set model_groups = data.pytorch_inference_benchmark.model_groups %}
+
+   The `ROCm PyTorch Docker <https://hub.docker.com/r/rocm/pytorch/tags>`_ image offers a prebuilt,
+   optimized environment for testing model inference performance on AMD Instinct™ MI300X series
+   accelerators. This guide demonstrates how to use the AMD Model Automation and Dashboarding (MAD)
+   tool with the ROCm PyTorch container to test inference performance on various models efficiently.
+
+   .. _pytorch-inference-benchmark-available-models:
+
+   Supported models
+   ================
+
+   .. raw:: html
+
+      <div id="vllm-benchmark-ud-params-picker" class="container-fluid">
+        <div class="row">
+          <div class="col-2 me-2 model-param-head">Model</div>
+          <div class="row col-10">
+   {% for model_group in model_groups %}
+            <div class="col-6 model-param" data-param-k="model-group" data-param-v="{{ model_group.tag }}" tabindex="0">{{ model_group.group }}</div>
+   {% endfor %}
+          </div>
+        </div>
+
+        <div class="row mt-1" style="display: none;">
+          <div class="col-2 me-2 model-param-head">Model variant</div>
+          <div class="row col-10">
+   {% for model_group in model_groups %}
+      {% set models = model_group.models %}
+      {% for model in models %}
+            <div class="col-12 model-param" data-param-k="model" data-param-v="{{ model.mad_tag }}" data-param-group="{{ model_group.tag }}" tabindex="0">{{ model.model }}</div>
+      {% endfor %}
+   {% endfor %}
+          </div>
+        </div>
+      </div>
+
+   {% for model_group in model_groups %}
+      {% for model in model_group.models %}
+
+   .. container:: model-doc {{model.mad_tag}}
+
+      .. note::
+
+         See the `{{ model.model }} model card on Hugging Face <{{ model.url }}>`_ to learn more about your selected model.
+         Some models require access authorization before use via an external license agreement through a third party.
+
+      {% endfor %}
+   {% endfor %}
+
+   Getting started
+   ===============
+
+   Use the following procedures to reproduce the benchmark results on an
+   MI300X series accelerator with the prebuilt PyTorch Docker image.
+
+   .. _pytorch-benchmark-get-started:
+
+   1. Disable NUMA auto-balancing.
+
+      To optimize performance, disable automatic NUMA balancing. Otherwise, the GPU
+      might hang until the periodic balancing is finalized. For more information,
+      see :ref:`AMD Instinct MI300X system optimization <mi300x-disable-numa>`.
+
+      .. code-block:: shell
+
+         # disable automatic NUMA balancing
+         sh -c 'echo 0 > /proc/sys/kernel/numa_balancing'
+         # check if NUMA balancing is disabled (returns 0 if disabled)
+         cat /proc/sys/kernel/numa_balancing
+         0
+
+   .. container:: model-doc pyt_chai1_inference
+
+      2. Use the following command to pull the `ROCm PyTorch Docker image <https://hub.docker.com/layers/rocm/pytorch/latest/images/sha256-05b55983e5154f46e7441897d0908d79877370adca4d1fff4899d9539d6c4969>`_ from Docker Hub.
+
+         .. code-block:: shell
+
+            docker pull rocm/pytorch:rocm6.2.3_ubuntu22.04_py3.10_pytorch_release_2.3.0_triton_llvm_reg_issue
+
+   .. container:: model-doc pyt_clip_inference
+
+      2. Use the following command to pull the `ROCm PyTorch Docker image <https://hub.docker.com/layers/rocm/pytorch/rocm6.2.3_ubuntu22.04_py3.10_pytorch_release_2.3.0_triton_llvm_reg_issue/images/sha256-b736a4239ab38a9d0e448af6d4adca83b117debed00bfbe33846f99c4540f79b>`_ from Docker Hub.
+
+         .. code-block:: shell
+
+            docker pull rocm/pytorch:latest
+
+   Benchmarking
+   ============
+
+   .. _pytorch-inference-benchmark-mad:
+
+   {% for model_group in model_groups %}
+      {% for model in model_group.models %}
+
+   .. container:: model-doc {{model.mad_tag}}
+
+      To simplify performance testing, the ROCm Model Automation and Dashboarding
+      (`<https://github.com/ROCm/MAD>`__) project provides ready-to-use scripts and configuration.
+      To start, clone the  MAD repository to a local directory and install the required packages on the
+      host machine.
+
+      .. code-block:: shell
+
+         git clone https://github.com/ROCm/MAD
+         cd MAD
+         pip install -r requirements.txt
+
+      Use this command to run the performance benchmark test on the `{{model.model}} <{{ model.url }}>`_ model
+      using one GPU with the ``{{model.precision}}`` data type on the host machine.
+
+      .. code-block:: shell
+
+         export MAD_SECRETS_HFTOKEN="your personal Hugging Face token to access gated models"
+         python3 tools/run_models.py --tags {{model.mad_tag}} --keep-model-dir --live-output --timeout 28800
+
+      MAD launches a Docker container with the name
+      ``container_ci-{{model.mad_tag}}``. The latency and throughput reports of the
+      model are collected in ``perf.csv``.
+
+      .. note::
+
+         For improved performance, consider enabling TunableOp. By default,
+         ``{{model.mad_tag}}`` runs with TunableOp disabled (see
+         `<https://github.com/ROCm/MAD/blob/develop/models.json>`__). To enable
+         it, edit the default run behavior in the ``tools/run_models.py``-- update the model's
+         run ``args`` by changing ``--tunableop off`` to ``--tunableop on``.
+
+         Enabling TunableOp triggers a two-pass run -- a warm-up followed by the performance-collection run.
+         Although this might increase the initial training time, it can result in a performance gain.
+
+      {% endfor %}
+   {% endfor %}
+
+Further reading
+===============
+
+- To learn more about system settings and management practices to configure your system for
+  MI300X accelerators, see `AMD Instinct MI300X system optimization <https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/system-optimization/mi300x.html>`_.
+
+- To learn how to run LLM models from Hugging Face or your model, see
+  :doc:`Running models from Hugging Face <hugging-face-models>`.
+
+- To learn how to optimize inference on LLMs, see
+  :doc:`Inference optimization <../inference-optimization/index>`.
+
+- To learn how to fine-tune LLMs, see
+  :doc:`Fine-tuning LLMs <../fine-tuning/index>`.
--- a/docs/how-to/rocm-for-ai/inference/vllm-benchmark.rst
+++ b/docs/how-to/rocm-for-ai/inference/vllm-benchmark.rst
@@ -3,9 +3,9 @@
                 ROCm vLLM Docker image.
   :keywords: model, MAD, automation, dashboarding, validate

-********************************************************
-LLM inference performance testing on AMD Instinct MI300X
-********************************************************
+**********************************
+vLLM inference performance testing
+**********************************

 .. _vllm-benchmark-unified-docker:

@@ -16,7 +16,7 @@ LLM inference performance testing on AMD Instinct MI300X

   The `ROCm vLLM Docker <{{ unified_docker.docker_hub_url }}>`_ image offers
   a prebuilt, optimized environment for validating large language model (LLM)
-   inference performance on AMD Instinct™ MI300X series accelerator. This ROCm vLLM
+   inference performance on AMD Instinct™ MI300X series accelerators. This ROCm vLLM
   Docker image integrates vLLM and PyTorch tailored specifically for MI300X series
   accelerators and includes the following components:

--- a/docs/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.rst
+++ b/docs/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.rst
@@ -9,7 +9,8 @@ Training a model with PyTorch for ROCm
 PyTorch is an open-source machine learning framework that is widely used for
 model training with GPU-optimized components for transformer-based models.

-The PyTorch for ROCm training Docker (``rocm/pytorch-training:v25.4``) image
+The `PyTorch for ROCm training Docker <https://hub.docker.com/layers/rocm/pytorch-training/v25.5/images/sha256-d47850a9b25b4a7151f796a8d24d55ea17bba545573f0d50d54d3852f96ecde5>`_
+(``rocm/pytorch-training:v25.5``) image
 provides a prebuilt optimized environment for fine-tuning and pretraining a
 model on AMD Instinct MI325X and MI300X accelerators. It includes the following
 software components to accelerate training workloads:
@@ -17,19 +18,19 @@ software components to accelerate training workloads:
 +--------------------------+--------------------------------+
 | Software component       | Version                        |
 +==========================+================================+
-| ROCm                     | 6.3.0                          |
+| ROCm                     | 6.3.4                          |
 +--------------------------+--------------------------------+
 | PyTorch                  | 2.7.0a0+git637433              |
 +--------------------------+--------------------------------+
 | Python                   | 3.10                           |
 +--------------------------+--------------------------------+
-| Transformer Engine       | 1.11                           |
+| Transformer Engine       | 1.12.0.dev0+25a33da            |
 +--------------------------+--------------------------------+
 | Flash Attention          | 3.0.0                          |
 +--------------------------+--------------------------------+
-| hipBLASLt                | git258a2162                    |
+| hipBLASLt                | git53b53bf                     |
 +--------------------------+--------------------------------+
-| Triton                   | 3.1                            |
+| Triton                   | 3.2.0                          |
 +--------------------------+--------------------------------+

 .. _amd-pytorch-training-model-support:
@@ -39,6 +40,8 @@ Supported models

 The following models are pre-optimized for performance on the AMD Instinct MI325X and MI300X accelerators.

+* Llama 3.3 70B
+
 * Llama 3.1 8B

 * Llama 3.1 70B
@@ -79,309 +82,346 @@ auto-balancing, skip this step. Otherwise, complete the :ref:`system validation
 and optimization steps <train-a-model-system-validation>` to set up your system
 before starting training.

-Environment setup
-=================
-
 This Docker image is optimized for specific model configurations outlined
 below. Performance can vary for other training workloads, as AMD 
 doesn’t validate configurations and run conditions outside those described.

-Download the Docker image
-------------------------
+Benchmarking
+============

-1. Use the following command to pull the Docker image from Docker Hub.
+Once the setup is complete, choose between two options to start benchmarking:

-   .. code-block:: shell
+.. tab-set::

-      docker pull rocm/pytorch-training:v25.4
+   .. tab-item:: MAD-integrated benchmarking

-2. Run the Docker container.
+      Clone the ROCm Model Automation and Dashboarding (`<https://github.com/ROCm/MAD>`__) repository to a local
+      directory and install the required packages on the host machine.

-   .. code-block:: shell
+      .. code-block:: shell

-      docker run -it --device /dev/dri --device /dev/kfd --network host --ipc host --group-add video --cap-add SYS_PTRACE --security-opt seccomp=unconfined --privileged -v $HOME:$HOME -v  $HOME/.ssh:/root/.ssh --shm-size 64G --name training_env rocm/pytorch-training:v25.4
+         git clone https://github.com/ROCm/MAD
+         cd MAD
+         pip install -r requirements.txt

-3. Use these commands if you exit the ``training_env`` container and need to return to it.
+      For example, use this command to run the performance benchmark test on the Llama 3.1 8B model
+      using one GPU with the float16 data type on the host machine.

-   .. code-block:: shell
+      .. code-block:: shell

-      docker start training_env
-      docker exec -it training_env bash
+         export MAD_SECRETS_HFTOKEN="your personal Hugging Face token to access gated models"
+         python3 tools/run_models.py --tags pyt_train_llama-3.1-8b --keep-model-dir --live-output --timeout 28800

-4. In the Docker container, clone the `<https://github.com/ROCm/MAD>`__
-   repository and navigate to the benchmark scripts directory
-   ``/workspace/MAD/scripts/pytorch_train``.
+      The available models for MAD-integrated benchmarking are:

-   .. code-block:: shell
+      * ``pyt_train_llama-3.3-70b``

-      git clone https://github.com/ROCm/MAD
-      cd MAD/scripts/pytorch_train
+      * ``pyt_train_llama-3.1-8b``

-Prepare training datasets and dependencies
------------------------------------------
+      * ``pyt_train_llama-3.1-70b``

-The following benchmarking examples require downloading models and datasets
-from Hugging Face. To ensure successful access to gated repos, set your
-``HF_TOKEN``.
+      * ``pyt_train_flux``

-.. code-block:: shell
+      MAD launches a Docker container with the name
+      ``container_ci-pyt_train_llama-3.1-8b``, for example. The latency and throughput reports of the
+      model are collected in the following path: ``~/MAD/perf.csv``.

-   export HF_TOKEN=$your_personal_hugging_face_access_token
+   .. tab-item:: Standalone benchmarking

-Run the setup script to install libraries and datasets needed for benchmarking.
+      .. rubric:: Download the Docker image and required packages

-.. code-block:: shell
+      Use the following command to pull the Docker image from Docker Hub.

-   ./pytorch_benchmark_setup.sh
+      .. code-block:: shell

-``pytorch_benchmark_setup.sh`` installs the following libraries:
+         docker pull rocm/pytorch-training:v25.5

-.. list-table::
-   :header-rows: 1
+      Run the Docker container.

-   * - Library
-     - Benchmark model
-     - Reference
+      .. code-block:: shell

-   * - ``accelerate``
-     - Llama 3.1 8B, FLUX
-     - `Hugging Face Accelerate <https://huggingface.co/docs/accelerate/en/index>`_
+         docker run -it --device /dev/dri --device /dev/kfd --network host --ipc host --group-add video --cap-add SYS_PTRACE --security-opt seccomp=unconfined --privileged -v $HOME:$HOME -v  $HOME/.ssh:/root/.ssh --shm-size 64G --name training_env rocm/pytorch-training:v25.5

-   * - ``datasets``
-     - Llama 3.1 8B, 70B, FLUX
-     - `Hugging Face Datasets <https://huggingface.co/docs/datasets/v3.2.0/en/index>`_ 3.2.0
+      Use these commands if you exit the ``training_env`` container and need to return to it.

-   * - ``torchdata``
-     - Llama 3.1 70B
-     - `TorchData <https://pytorch.org/data/beta/index.html>`_
+      .. code-block:: shell

-   * - ``tomli``
-     - Llama 3.1 70B
-     - `Tomli <https://pypi.org/project/tomli/>`_
+         docker start training_env
+         docker exec -it training_env bash

-   * - ``tiktoken``
-     - Llama 3.1 70B
-     - `tiktoken <https://github.com/openai/tiktoken>`_
+      In the Docker container, clone the `<https://github.com/ROCm/MAD>`__
+      repository and navigate to the benchmark scripts directory
+      ``/workspace/MAD/scripts/pytorch_train``.

-   * - ``blobfile``
-     - Llama 3.1 70B
-     - `blobfile <https://pypi.org/project/blobfile/>`_
+      .. code-block:: shell

-   * - ``tabulate``
-     - Llama 3.1 70B
-     - `tabulate <https://pypi.org/project/tabulate/>`_
+         git clone https://github.com/ROCm/MAD
+         cd MAD/scripts/pytorch_train

-   * - ``wandb``
-     - Llama 3.1 70B
-     - `Weights & Biases <https://github.com/wandb/wandb>`_
+      .. rubric:: Prepare training datasets and dependencies

-   * - ``sentencepiece``
-     - Llama 3.1 70B, FLUX
-     - `SentencePiece <https://github.com/google/sentencepiece>`_ 0.2.0
+      The following benchmarking examples require downloading models and datasets
+      from Hugging Face. To ensure successful access to gated repos, set your
+      ``HF_TOKEN``.

-   * - ``tensorboard``
-     - Llama 3.1 70 B, FLUX
-     - `TensorBoard <https://www.tensorflow.org/tensorboard>`_ 2.18.0
+      .. code-block:: shell

-   * - ``csvkit``
-     - FLUX
-     - `csvkit <https://csvkit.readthedocs.io/en/latest/>`_ 2.0.1
+         export HF_TOKEN=$your_personal_hugging_face_access_token

-   * - ``deepspeed``
-     - FLUX
-     - `DeepSpeed <https://github.com/deepspeedai/DeepSpeed>`_ 0.16.2
+      Run the setup script to install libraries and datasets needed for benchmarking.

-   * - ``diffusers``
-     - FLUX
-     - `Hugging Face Diffusers <https://huggingface.co/docs/diffusers/en/index>`_ 0.31.0
+      .. code-block:: shell

-   * - ``GitPython``
-     - FLUX
-     - `GitPython <https://github.com/gitpython-developers/GitPython>`_ 3.1.44
+         ./pytorch_benchmark_setup.sh

-   * - ``opencv-python-headless``
-     - FLUX
-     - `opencv-python-headless <https://pypi.org/project/opencv-python-headless/>`_ 4.10.0.84
+      ``pytorch_benchmark_setup.sh`` installs the following libraries:

-   * - ``peft``
-     - FLUX
-     - `PEFT <https://huggingface.co/docs/peft/en/index>`_ 0.14.0
+      .. list-table::
+         :header-rows: 1

-   * - ``protobuf``
-     - FLUX
-     - `Protocol Buffers <https://github.com/protocolbuffers/protobuf>`_ 5.29.2
+         * - Library
+           - Benchmark model
+           - Reference

-   * - ``pytest``
-     - FLUX
-     - `PyTest <https://docs.pytest.org/en/stable/>`_ 8.3.4
+         * - ``accelerate``
+           - Llama 3.1 8B, FLUX
+           - `Hugging Face Accelerate <https://huggingface.co/docs/accelerate/en/index>`_

-   * - ``python-dotenv``
-     - FLUX
-     - `python-dotenv <https://pypi.org/project/python-dotenv/>`_ 1.0.1
+         * - ``datasets``
+           - Llama 3.1 8B, 70B, FLUX
+           - `Hugging Face Datasets <https://huggingface.co/docs/datasets/v3.2.0/en/index>`_ 3.2.0

-   * - ``seaborn``
-     - FLUX
-     - `Seaborn <https://seaborn.pydata.org/>`_ 0.13.2
+         * - ``torchdata``
+           - Llama 3.1 70B
+           - `TorchData <https://pytorch.org/data/beta/index.html>`_

-   * - ``transformers``
-     - FLUX
-     - `Transformers <https://huggingface.co/docs/transformers/en/index>`_ 4.47.0
+         * - ``tomli``
+           - Llama 3.1 70B
+           - `Tomli <https://pypi.org/project/tomli/>`_

-``pytorch_benchmark_setup.sh`` downloads the following models from Hugging Face:
+         * - ``tiktoken``
+           - Llama 3.1 70B
+           - `tiktoken <https://github.com/openai/tiktoken>`_

-* `meta-llama/Llama-3.1-70B-Instruct <https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct>`_
+         * - ``blobfile``
+           - Llama 3.1 70B
+           - `blobfile <https://pypi.org/project/blobfile/>`_

-* `black-forest-labs/FLUX.1-dev <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_
+         * - ``tabulate``
+           - Llama 3.1 70B
+           - `tabulate <https://pypi.org/project/tabulate/>`_

-Along with the following datasets:
+         * - ``wandb``
+           - Llama 3.1 70B
+           - `Weights & Biases <https://github.com/wandb/wandb>`_

-* `WikiText <https://huggingface.co/datasets/Salesforce/wikitext>`_
+         * - ``sentencepiece``
+           - Llama 3.1 70B, FLUX
+           - `SentencePiece <https://github.com/google/sentencepiece>`_ 0.2.0

-* `UltraChat 200k <https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k>`_
+         * - ``tensorboard``
+           - Llama 3.1 70 B, FLUX
+           - `TensorBoard <https://www.tensorflow.org/tensorboard>`_ 2.18.0

-* `bghira/pseudo-camera-10k <https://huggingface.co/datasets/bghira/pseudo-camera-10k>`_
+         * - ``csvkit``
+           - FLUX
+           - `csvkit <https://csvkit.readthedocs.io/en/latest/>`_ 2.0.1

-Getting started
-===============
+         * - ``deepspeed``
+           - FLUX
+           - `DeepSpeed <https://github.com/deepspeedai/DeepSpeed>`_ 0.16.2

-The prebuilt PyTorch with ROCm training environment allows users to quickly validate
-system performance, conduct training benchmarks, and achieve superior
-performance for models like Llama 3.1 and Llama 2. This container should not be
-expected to provide generalized performance across all training workloads. You
-can expect the container to perform in the model configurations described in
-the following section, but other configurations are not validated by AMD.
+         * - ``diffusers``
+           - FLUX
+           - `Hugging Face Diffusers <https://huggingface.co/docs/diffusers/en/index>`_ 0.31.0

-Use the following instructions to set up the environment, configure the script
-to train models, and reproduce the benchmark results on MI325X and MI300X
-accelerators with the AMD PyTorch training Docker image.
+         * - ``GitPython``
+           - FLUX
+           - `GitPython <https://github.com/gitpython-developers/GitPython>`_ 3.1.44

-Once your environment is set up, use the following commands and examples to start benchmarking.
+         * - ``opencv-python-headless``
+           - FLUX
+           - `opencv-python-headless <https://pypi.org/project/opencv-python-headless/>`_ 4.10.0.84

-Pretraining
-----------
+         * - ``peft``
+           - FLUX
+           - `PEFT <https://huggingface.co/docs/peft/en/index>`_ 0.14.0

-To start the pretraining benchmark, use the following command with the
-appropriate options. See the following list of options and their descriptions.
+         * - ``protobuf``
+           - FLUX
+           - `Protocol Buffers <https://github.com/protocolbuffers/protobuf>`_ 5.29.2

-.. code-block:: shell
+         * - ``pytest``
+           - FLUX
+           - `PyTest <https://docs.pytest.org/en/stable/>`_ 8.3.4

-   ./pytorch_benchmark_report.sh -t $training_mode -m $model_repo -p $datatype -s $sequence_length
+         * - ``python-dotenv``
+           - FLUX
+           - `python-dotenv <https://pypi.org/project/python-dotenv/>`_ 1.0.1

-Options and available models
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+         * - ``seaborn``
+           - FLUX
+           - `Seaborn <https://seaborn.pydata.org/>`_ 0.13.2

-.. list-table::
-   :header-rows: 1
+         * - ``transformers``
+           - FLUX
+           - `Transformers <https://huggingface.co/docs/transformers/en/index>`_ 4.47.0

-   * - Name
-     - Options
-     - Description
+      ``pytorch_benchmark_setup.sh`` downloads the following models from Hugging Face:

-   * - ``$training_mode``
-     - ``pretrain``
-     - Benchmark pretraining
+      * `meta-llama/Llama-3.1-70B-Instruct <https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct>`_

-   * -
-     - ``finetune_fw``
-     - Benchmark full weight fine-tuning (Llama 3.1 70B with BF16)
+      * `black-forest-labs/FLUX.1-dev <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_

-   * -
-     - ``finetune_lora``
-     - Benchmark LoRA fine-tuning (Llama 3.1 70B with BF16)
+      Along with the following datasets:

-   * -
-     - ``HF_finetune_lora``
-     - Benchmark LoRA fine-tuning with Hugging Face PEFT (Llama 2 70B with BF16)
+      * `WikiText <https://huggingface.co/datasets/Salesforce/wikitext>`_

-   * - ``$datatype``
-     - ``FP8`` or ``BF16``
-     - Only Llama 3.1 8B supports FP8 precision.
+      * `UltraChat 200k <https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k>`_

-   * - ``$model_repo``
-     - ``Llama-3.1-8B``
-     - `Llama 3.1 8B <https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct>`_
+      * `bghira/pseudo-camera-10k <https://huggingface.co/datasets/bghira/pseudo-camera-10k>`_

-   * - 
-     - ``Llama-3.1-70B``
-     - `Llama 3.1 70B <https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct>`_
+      .. rubric:: Pretraining

-   * - 
-     - ``Llama-2-70B``
-     - `Llama 2 70B <https://huggingface.co/meta-llama/Llama-2-70B>`_
+      To start the pretraining benchmark, use the following command with the
+      appropriate options. See the following list of options and their descriptions.

-   * - 
-     - ``Flux``
-     - `FLUX.1 [dev] <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_
+      .. code-block:: shell

-   * - ``$sequence_length``
-     - Sequence length for the language model.
-     - Between 2048 and 8192. 8192 by default.
+         ./pytorch_benchmark_report.sh -t $training_mode -m $model_repo -p $datatype -s $sequence_length

-.. note::
+      .. list-table::
+         :header-rows: 1

-   Occasionally, downloading the Flux dataset might fail. In the event of this
-   error, manually download it from Hugging Face at
-   `black-forest-labs/FLUX.1-dev <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_
-   and save it to `/workspace/FluxBenchmark`. This ensures that the test script can access
-   the required dataset.
+         * - Name
+           - Options
+           - Description

-Fine-tuning
-----------
+         * - ``$training_mode``
+           - ``pretrain``
+           - Benchmark pretraining

-To start the fine-tuning benchmark, use the following command. It will run the benchmarking example of Llama 3.1 70B
-with the WikiText dataset using the AMD fork of `torchtune <https://github.com/AMD-AIG-AIMA/torchtune>`_.
+         * -
+           - ``finetune_fw``
+           - Benchmark full weight fine-tuning (Llama 3.1 70B with BF16)

-.. code-block:: shell
+         * -
+           - ``finetune_lora``
+           - Benchmark LoRA fine-tuning (Llama 3.1 70B with BF16)

-   ./pytorch_benchmark_report.sh -t {finetune_fw, finetune_lora} -p BF16 -m Llama-3.1-70B
+         * -
+           - ``HF_finetune_lora``
+           - Benchmark LoRA fine-tuning with Hugging Face PEFT (Llama 2 70B with BF16)

-Use the following command to run the benchmarking example of Llama 2 70B with the UltraChat 200k dataset using
-`Hugging Face PEFT <https://huggingface.co/docs/peft/en/index>`_.
+         * - ``$datatype``
+           - ``FP8`` or ``BF16``
+           - Only Llama 3.1 8B supports FP8 precision.

-.. code-block:: shell
+         * - ``$model_repo``
+           - ``Llama-3.3-70B``
+           - `Llama 3.3 70B <https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct>`_

-   ./pytorch_benchmark_report.sh -t HF_finetune_lora -p BF16 -m Llama-2-70B
+         * - 
+           - ``Llama-3.1-8B``
+           - `Llama 3.1 8B <https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct>`_

-Benchmarking examples
---------------------
+         * - 
+           - ``Llama-3.1-70B``
+           - `Llama 3.1 70B <https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct>`_

-Here are some examples of how to use the command.
+         * - 
+           - ``Llama-2-70B``
+           - `Llama 2 70B <https://huggingface.co/meta-llama/Llama-2-70B>`_

-* Example 1: Llama 3.1 70B with BF16 precision with `torchtitan <https://github.com/ROCm/torchtitan>`_.
+         * - 
+           - ``Flux``
+           - `FLUX.1 [dev] <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_

-  .. code-block:: shell
+         * - ``$sequence_length``
+           - Sequence length for the language model.
+           - Between 2048 and 8192. 8192 by default.

-     ./pytorch_benchmark_report.sh -t pretrain -p BF16 -m Llama-3.1-70B -s 8192
+      .. note::

-* Example 2: Llama 3.1 8B with FP8 precision using Transformer Engine (TE) and Hugging Face Accelerator.
+         Occasionally, downloading the Flux dataset might fail. In the event of this
+         error, manually download it from Hugging Face at
+         `black-forest-labs/FLUX.1-dev <https://huggingface.co/black-forest-labs/FLUX.1-dev>`_
+         and save it to `/workspace/FluxBenchmark`. This ensures that the test script can access
+         the required dataset.

-  .. code-block:: shell
+      .. rubric:: Fine-tuning

-     ./pytorch_benchmark_report.sh -t pretrain -p FP8 -m Llama-3.1-70B -s 8192
+      To start the fine-tuning benchmark, use the following command. It will run the benchmarking example of Llama 3.1 70B
+      with the WikiText dataset using the AMD fork of `torchtune <https://github.com/AMD-AIG-AIMA/torchtune>`_.

-* Example 3: FLUX.1-dev with BF16 precision with FluxBenchmark.
+      .. code-block:: shell

-  .. code-block:: shell
+         ./pytorch_benchmark_report.sh -t {finetune_fw, finetune_lora} -p BF16 -m Llama-3.1-70B

-     ./pytorch_benchmark_report.sh -t pretrain -p BF16 -m Flux
+      Use the following command to run the benchmarking example of Llama 2 70B with the UltraChat 200k dataset using
+      `Hugging Face PEFT <https://huggingface.co/docs/peft/en/index>`_.

-* Example 4: Torchtune full weight fine-tuning with Llama 3.1 70B
+      .. code-block:: shell

-  .. code-block:: shell
+         ./pytorch_benchmark_report.sh -t HF_finetune_lora -p BF16 -m Llama-2-70B

-     ./pytorch_benchmark_report.sh -t finetune_fw -p BF16 -m Llama-3.1-70B
+      .. rubric:: Benchmarking examples

-* Example 5: Torchtune LoRA fine-tuning with Llama 3.1 70B
+      Here are some example commands to get started pretraining and fine-tuning with various model configurations.

-  .. code-block:: shell
+      * Example 1: Llama 3.1 70B with BF16 precision with `torchtitan <https://github.com/ROCm/torchtitan>`_.

-     ./pytorch_benchmark_report.sh -t finetune_lora -p BF16 -m Llama-3.1-70B
+        .. code-block:: shell

-* Example 6: Hugging Face PEFT LoRA fine-tuning with Llama 2 70B
+           ./pytorch_benchmark_report.sh -t pretrain -p BF16 -m Llama-3.1-70B -s 8192

-  .. code-block:: shell
+      * Example 2: Llama 3.1 8B with FP8 precision using Transformer Engine (TE) and Hugging Face Accelerator.

-     ./pytorch_benchmark_report.sh -t HF_finetune_lora -p BF16 -m Llama-2-70B
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t pretrain -p FP8 -m Llama-3.1-70B -s 8192
+
+      * Example 3: FLUX.1-dev with BF16 precision with FluxBenchmark.
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t pretrain -p BF16 -m Flux
+
+      * Example 4: Torchtune full weight fine-tuning with Llama 3.1 70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t finetune_fw -p BF16 -m Llama-3.1-70B
+
+      * Example 5: Torchtune LoRA fine-tuning with Llama 3.1 70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t finetune_lora -p BF16 -m Llama-3.1-70B
+
+      * Example 6: Torchtune full weight fine-tuning with Llama-3.3-70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t finetune_fw -p BF16 -m Llama-3.3-70B
+
+      * Example 7: Torchtune LoRA fine-tuning with Llama-3.3-70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t finetune_lora -p BF16 -m Llama-3.3-70B
+
+      * Example 8: Torchtune QLoRA fine-tuning with Llama-3.3-70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t finetune_qlora -p BF16 -m Llama-3.3-70B
+
+      * Example 9: Hugging Face PEFT LoRA fine-tuning with Llama 2 70B
+
+        .. code-block:: shell
+
+           ./pytorch_benchmark_report.sh -t HF_finetune_lora -p BF16 -m Llama-2-70B

 Previous versions
 =================
@@ -399,6 +439,13 @@ benchmarking, see the version-specific documentation.
     - PyTorch version
     - Resources

+   * - v25.4
+     - 6.3.0
+     - 2.7.0a0+git637433
+     - 
+       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.4/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.html>`_
+       * `Docker Hub <https://hub.docker.com/layers/rocm/pytorch-training/v25.4/images/sha256-fa98a9aa69968e654466c06f05aaa12730db79b48b113c1ab4f7a5fe6920a20b>`_
+
   * - v25.3
     - 6.3.0
     - 2.7.0a0+git637433
--- a/docs/sphinx/_toc.yml.in
+++ b/docs/sphinx/_toc.yml.in
@@ -75,7 +75,9 @@ subtrees:
          - file: how-to/rocm-for-ai/inference/llm-inference-frameworks.rst
            title: LLM inference frameworks
          - file: how-to/rocm-for-ai/inference/vllm-benchmark.rst
-            title: Performance testing
+            title: vLLM inference performance testing
+          - file: how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
+            title: PyTorch inference performance testing
          - file: how-to/rocm-for-ai/inference/deploy-your-model.rst
            title: Deploy your model

--- a/submodule-srcs/AMDMIGraphX
+++ b/submodule-srcs/AMDMIGraphX
--- a/submodule-srcs/HIP
+++ b/submodule-srcs/HIP
--- a/submodule-srcs/HIPIFY
+++ b/submodule-srcs/HIPIFY
--- a/submodule-srcs/MIOpen
+++ b/submodule-srcs/MIOpen
--- a/submodule-srcs/MIVisionX
+++ b/submodule-srcs/MIVisionX
--- a/submodule-srcs/ROCK-Kernel-Driver
+++ b/submodule-srcs/ROCK-Kernel-Driver
--- a/submodule-srcs/ROCR-Runtime
+++ b/submodule-srcs/ROCR-Runtime
--- a/submodule-srcs/ROCdbgapi
+++ b/submodule-srcs/ROCdbgapi
--- a/submodule-srcs/ROCgdb
+++ b/submodule-srcs/ROCgdb
--- a/submodule-srcs/ROCmValidationSuite
+++ b/submodule-srcs/ROCmValidationSuite
--- a/submodule-srcs/Tensile
+++ b/submodule-srcs/Tensile
--- a/submodule-srcs/TransferBench
+++ b/submodule-srcs/TransferBench
--- a/submodule-srcs/amdsmi
+++ b/submodule-srcs/amdsmi
--- a/submodule-srcs/clr
+++ b/submodule-srcs/clr
--- a/submodule-srcs/composable_kernel
+++ b/submodule-srcs/composable_kernel
--- a/submodule-srcs/half
+++ b/submodule-srcs/half
--- a/submodule-srcs/hip-tests
+++ b/submodule-srcs/hip-tests
--- a/submodule-srcs/hipBLAS
+++ b/submodule-srcs/hipBLAS
--- a/submodule-srcs/hipBLAS-common
+++ b/submodule-srcs/hipBLAS-common
--- a/submodule-srcs/hipBLASLt
+++ b/submodule-srcs/hipBLASLt
--- a/submodule-srcs/hipCUB
+++ b/submodule-srcs/hipCUB
--- a/submodule-srcs/hipFFT
+++ b/submodule-srcs/hipFFT
--- a/submodule-srcs/hipRAND
+++ b/submodule-srcs/hipRAND
--- a/submodule-srcs/hipSOLVER
+++ b/submodule-srcs/hipSOLVER
--- a/submodule-srcs/hipSPARSE
+++ b/submodule-srcs/hipSPARSE
--- a/submodule-srcs/hipSPARSELt
+++ b/submodule-srcs/hipSPARSELt
--- a/submodule-srcs/hipTensor
+++ b/submodule-srcs/hipTensor
--- a/submodule-srcs/hipfort
+++ b/submodule-srcs/hipfort
--- a/submodule-srcs/hipother
+++ b/submodule-srcs/hipother
--- a/submodule-srcs/llvm-project
+++ b/submodule-srcs/llvm-project
--- a/submodule-srcs/openmp-extras/aomp
+++ b/submodule-srcs/openmp-extras/aomp
--- a/submodule-srcs/openmp-extras/aomp-extras
+++ b/submodule-srcs/openmp-extras/aomp-extras
--- a/submodule-srcs/rccl
+++ b/submodule-srcs/rccl
--- a/submodule-srcs/rdc
+++ b/submodule-srcs/rdc
--- a/submodule-srcs/rocAL
+++ b/submodule-srcs/rocAL
--- a/submodule-srcs/rocALUTION
+++ b/submodule-srcs/rocALUTION
--- a/submodule-srcs/rocBLAS
+++ b/submodule-srcs/rocBLAS
--- a/submodule-srcs/rocDecode
+++ b/submodule-srcs/rocDecode
--- a/submodule-srcs/rocFFT
+++ b/submodule-srcs/rocFFT
--- a/submodule-srcs/rocJPEG
+++ b/submodule-srcs/rocJPEG
--- a/submodule-srcs/rocPRIM
+++ b/submodule-srcs/rocPRIM
--- a/submodule-srcs/rocPyDecode
+++ b/submodule-srcs/rocPyDecode
--- a/submodule-srcs/rocRAND
+++ b/submodule-srcs/rocRAND
--- a/submodule-srcs/rocSHMEM
+++ b/submodule-srcs/rocSHMEM
--- a/submodule-srcs/rocSOLVER
+++ b/submodule-srcs/rocSOLVER
--- a/submodule-srcs/rocSPARSE
+++ b/submodule-srcs/rocSPARSE
--- a/submodule-srcs/rocThrust
+++ b/submodule-srcs/rocThrust
--- a/submodule-srcs/rocWMMA
+++ b/submodule-srcs/rocWMMA
--- a/submodule-srcs/rocm-cmake
+++ b/submodule-srcs/rocm-cmake
--- a/submodule-srcs/rocm-core
+++ b/submodule-srcs/rocm-core
--- a/submodule-srcs/rocm-examples
+++ b/submodule-srcs/rocm-examples
--- a/submodule-srcs/rocm_bandwidth_test
+++ b/submodule-srcs/rocm_bandwidth_test
--- a/submodule-srcs/rocm_smi_lib
+++ b/submodule-srcs/rocm_smi_lib
--- a/submodule-srcs/rocminfo
+++ b/submodule-srcs/rocminfo
--- a/submodule-srcs/rocprofiler
+++ b/submodule-srcs/rocprofiler
--- a/submodule-srcs/rocprofiler-compute
+++ b/submodule-srcs/rocprofiler-compute
--- a/submodule-srcs/rocprofiler-register
+++ b/submodule-srcs/rocprofiler-register
--- a/submodule-srcs/rocprofiler-sdk
+++ b/submodule-srcs/rocprofiler-sdk
--- a/submodule-srcs/rocprofiler-systems
+++ b/submodule-srcs/rocprofiler-systems
--- a/submodule-srcs/rocr_debug_agent
+++ b/submodule-srcs/rocr_debug_agent
--- a/submodule-srcs/roctracer
+++ b/submodule-srcs/roctracer
--- a/submodule-srcs/rpp
+++ b/submodule-srcs/rpp
--- a/submodule-srcs/spirv-llvm-translator
+++ b/submodule-srcs/spirv-llvm-translator
Author	SHA1	Message	Date
Jenkins	602cc00fd6	Re-add submodule submodule-srcs/ROCK-Kernel-Driver at specific commit	2025-04-30 10:52:41 +00:00
Jenkins	222963b85c	Remove broken submodule submodule-srcs/ROCK-Kernel-Driver completely	2025-04-30 10:30:34 +00:00
Jenkins	96ccfcb026	support ROCm submodule sources	2025-04-24 15:10:29 +00:00
Daniel Su	588752ade4	Ex CI: fix rocprofiler-register tests (#4676 )	2025-04-24 09:52:27 -04:00
Peter Park	c3faa9670b	Add PyTorch inference benchmark Docker guide (+ CLIP and Chai-1) (#4654 ) * update vLLM links in deploy-your-model.rst * add pytorch inference benchmark doc * update toc and vLLM title * remove previous versions * update * wording * fix link and "applies to" * add pytorch to wordlist * add tunableop note to clip * make tunableop note appear to all models * Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com> * Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com> * Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com> * Update docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com> * fix incorrect links * wording * fix wrong docker pull tag --------- Co-authored-by: Leo Paoletti <164940351+lpaoletti@users.noreply.github.com>	2025-04-23 17:35:52 -04:00
Pratik Basyal	7246a673ce	Broken link fixed (#4673 )	2025-04-23 13:34:39 -04:00
Pratik Basyal	3f1c07afd7	Known issue for installation failure in 6.4.0 added (#4666 ) * Known issue for installation failure added * Github issue No. added * Typo fixed * Feedback from Anush updated * Minor change * Feedback from Fai added * Public Issue No. updated * Minor change	2025-04-23 12:26:11 -04:00
Peter Park	b29b3592bd	Update ML framework Docker compatibility docs for 6.4.0 (#4667 ) * update pytorch-compatibility.rst * update tensorflow compat fix * update jax and jax-community docker versions	2025-04-22 16:16:16 -04:00
Daniel Su	2b2732fe6f	Ex CI: add missing packages to rocprof-comp, clean up test job steps (#4669 )	2025-04-22 15:50:47 -04:00
Daniel Su	396b6375ba	Ex CI: add script to download artifacts from a provided manifest file (#4662 ) * add files * Allow command line args for download script * Move script into separate folder * Add newline to end of script --------- Co-authored-by: David Dixon <david.dixon@amd.com>	2025-04-22 10:48:41 -04:00
Daniel Su	37a56b4ab6	Ex CI: add double quotes to pip packages with min versions (#4661 )	2025-04-21 12:03:38 -04:00
Pratik Basyal	fc162d11e0	6.1.5 column added to historical compatibility develop branch (#4648 ) * 6.1.5 column added to historical compatibility	2025-04-17 11:55:32 -04:00
Daniel Su	34288b5af2	Ex CI: add template to create Docker images with `docker commit` (#4649 )	2025-04-17 11:01:17 -04:00
Joseph Macaranas	460e4be71d	External CI: rocprofiler-systems CMake flags to find rocjpeg headers (#4656 ) - Also add chrpath dependency	2025-04-17 10:57:41 -04:00
Joseph Macaranas	25ca422954	External CI: MIOpen build fix from aggregate pipeline rebase (#4651 ) Merge conflict resolution dumped the new parameters to the wrong line.	2025-04-17 10:07:33 -04:00
Daniel Su	27edda496d	Ex CI: reenable comgr cache for affected mathlibs (#4642 )	2025-04-16 15:03:14 -04:00
Peter Park	9ff3c2c885	Update PyTorch training Docker doc for 25.5 (#4638 ) * update pytorch-training to 25.5 * remove llama 2 * Revert "remove llama 2" This reverts commit dab672fa7bcbd8bff730382c14177df4301a537d. * add previous version * fix run cmd * add link to docker hub * fix linting issue * add Llama 3.3 70B * update	2025-04-15 18:16:22 -04:00
Daniel Su	0d28491d16	Ex CI: make Docker image URLs lowercase (#4634 )	2025-04-15 16:01:09 -04:00
Peter Park	7f708c8d87	fix links to amdsmi and rocmsmi changelogs (#4592 ) (cherry picked from commit `bdcfea9dbd`)	2025-04-15 15:12:00 -04:00
Daniel Su	2ab35b3732	Ex CI: change Docker containerRegistry to `ContainerService3` (#4631 )	2025-04-15 11:50:34 -04:00
Peter Park	d057d49af1	Fix vllm Dockerfile.rocm path (#4628 )	2025-04-15 11:26:54 -04:00
Pratik Basyal	15ec4cf910	GitHub link to component in highlights changed to documentation reference in develop (#4626 ) * GitHub link to component in highlights changed to documentation * Removed entry from ROCm Compute Profiler * Jeff's feedback added Co-authored-by: Jeffrey Novotny <jnovotny@amd.com> * List updated --------- Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>	2025-04-15 10:14:58 -04:00