Remove old script

Signed-off-by: David Galiffi <David.Galiffi@amd.com>
Create submodules to the ROCm 6.4.0 components
2026-01-10 15:18:11 -05:00 · 2025-04-16 14:58:20 -04:00 · 2025-04-16 14:56:58 -04:00 · 2025-04-16 13:41:06 -04:00 · 2025-04-16 13:41:06 -04:00 · 2025-04-16 13:41:06 -04:00
110 changed files with 2405 additions and 1501 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 --generator Ninja
+          cmake -P install_deps.cmake --prefix $(Agent.BuildDirectory)/miopen-deps
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
      parameters:
        extraBuildFlags: >-
          -DMIOPEN_BACKEND=HIP
          -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/llvm/bin/amdclang++
-          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/miopen-deps
+          -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;$(Agent.BuildDirectory)/miopen-deps --generator Ninja
          -DGPU_TARGETS=${{ job.target }}
          -DMIOPEN_ENABLE_AI_KERNEL_TUNING=OFF
          -DMIOPEN_ENABLE_AI_IMMED_MODE_FALLBACK=OFF
@@ -214,7 +214,7 @@ jobs:
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
      parameters:
        componentName: MIOpen
-        testParameters: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex "test_rnn_seq_api|GPU_Conv2dTuningAsm_FP32"'
+        testParameters: '--output-on-failure --force-new-ctest-process --output-junit test_output.xml --exclude-regex test_rnn_seq_api'
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
      parameters:
        aptPackages: ${{ parameters.aptPackages }}
--- a/.azuredevops/components/hipBLAS.yml
+++ b/.azuredevops/components/hipBLAS.yml
@@ -133,6 +133,8 @@ 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
@@ -193,6 +193,8 @@ 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
@@ -134,6 +134,8 @@ 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
@@ -128,6 +128,8 @@ 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
@@ -107,6 +107,8 @@ 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
@@ -157,6 +157,8 @@ 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/rocJPEG.yml
+++ b/.azuredevops/components/rocJPEG.yml
@@ -89,8 +89,6 @@ jobs:
          -GNinja
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
-      parameters:
-        gpuTarget: ${{ job.target }}
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-links.yml
    # - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/docker-container.yml
    #   parameters:
@@ -124,8 +122,6 @@ jobs:
        registerROCmPackages: true
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
-      parameters:
-        gpuTarget: ${{ job.target }}
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
      parameters:
@@ -151,3 +147,4 @@ jobs:
        environment: test
        gpuTarget: ${{ job.target }}
        registerROCmPackages: true
+        optSymLink: true
--- a/.azuredevops/components/rocSOLVER.yml
+++ b/.azuredevops/components/rocSOLVER.yml
@@ -143,6 +143,8 @@ 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
@@ -34,7 +34,6 @@ parameters:
    - rocminfo
    - rocPRIM
    - rocprofiler-register
-    - roctracer
 - name: rocmTestDependencies
  type: object
  default:
@@ -139,6 +138,8 @@ 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
@@ -125,6 +125,8 @@ jobs:
    variables:
    - group: common
    - template: /.azuredevops/variables-global.yml
+    - name: AMD_COMGR_CACHE
+      value: 0
    pool: ${{ job.target }}_test_pool
    workspace:
      clean: all
--- a/.azuredevops/components/rocprofiler-compute.yml
+++ b/.azuredevops/components/rocprofiler-compute.yml
@@ -14,8 +14,6 @@ parameters:
  type: object
  default:
    - cmake
-    - libdw-dev
-    - libtbb-dev
    - locales
    - ninja-build
    - python3-pip
@@ -24,10 +22,10 @@ parameters:
  default:
    - astunparse==1.6.2
    - colorlover
-    - "dash>=1.12.0"
+    - dash>=1.12.0
    - matplotlib
-    - "numpy>=1.17.5"
-    - "pandas>=1.4.3"
+    - numpy>=1.17.5
+    - pandas>=1.4.3
    - pymongo
    - pyyaml
    - tabulate
@@ -191,9 +189,12 @@ jobs:
      displayName: Add ROCm binaries to PATH
      inputs:
        targetType: inline
-        script: |
-          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
-          echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
+        script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/bin"
+    - task: Bash@3
+      displayName: Add ROCm compilers to PATH
+      inputs:
+        targetType: inline
+        script: echo "##vso[task.prependpath]$(Agent.BuildDirectory)/rocm/llvm/bin"
    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
      parameters:
        extraBuildFlags: >-
@@ -212,6 +213,18 @@ 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: ${{ parameters.aptPackages }}
--- a/.azuredevops/components/rocprofiler-register.yml
+++ b/.azuredevops/components/rocprofiler-register.yml
@@ -38,13 +38,19 @@ jobs:
    parameters:
      componentName: rocprofiler-register
      extraBuildFlags: >-
-        -DCMAKE_PREFIX_PATH=$(Build.BinariesDirectory)
-        -DROCPROFILER_REGISTER_BUILD_TESTS=ON
-        -DROCPROFILER_REGISTER_BUILD_SAMPLES=ON
        -GNinja
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+    parameters:
+      componentName: rocprofiler-register-tests
+      extraBuildFlags: >-
+        -DCMAKE_PREFIX_PATH=$(Build.BinariesDirectory)
+        -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
@@ -21,7 +21,6 @@ parameters:
    - bzip2
    - clang
    - cmake
-    - chrpath
    - environment-modules
    - ffmpeg
    - g++-12
@@ -67,7 +66,6 @@ parameters:
    - rocprofiler-register
    - rocprofiler-sdk
    - ROCR-Runtime
-    - roctracer

 - name: jobMatrix
  type: object
@@ -132,7 +130,6 @@ 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: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
@@ -207,7 +204,6 @@ jobs:
          -DDYNINST_BUILD_BOOST=ON
          -DROCPROFSYS_USE_PAPI=ON
          -DROCPROFSYS_USE_MPI=ON
-          -DCMAKE_CXX_FLAGS=-I$(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
@@ -1,68 +0,0 @@
-#!/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
@@ -1 +0,0 @@
-requests
--- a/.azuredevops/templates/steps/docker-container-commit.yml
+++ b/.azuredevops/templates/steps/docker-container-commit.yml
@@ -1,82 +0,0 @@
-# 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/.gitmodules
+++ b/.gitmodules
@@ -0,0 +1,192 @@
+[submodule "libs/ROCK-Kernel-Driver"]
+	path = libs/ROCK-Kernel-Driver
+	url = ../ROCK-Kernel-Driver
+[submodule "libs/ROCR-Runtime"]
+	path = libs/ROCR-Runtime
+	url = ../ROCR-Runtime
+[submodule "libs/amdsmi"]
+	path = libs/amdsmi
+	url = ../amdsmi
+[submodule "libs/rocm_smi_lib"]
+	path = libs/rocm_smi_lib
+	url = ../rocm_smi_lib
+[submodule "libs/rocm-core"]
+	path = libs/rocm-core
+	url = ../rocm-core
+[submodule "libs/rocm-cmake"]
+	path = libs/rocm-cmake
+	url = ../rocm-cmake
+[submodule "libs/rocminfo"]
+	path = libs/rocminfo
+	url = ../rocminfo
+[submodule "libs/rocm_bandwidth_test"]
+	path = libs/rocm_bandwidth_test
+	url = ../rocm_bandwidth_test
+[submodule "libs/rocprofiler"]
+	path = libs/rocprofiler
+	url = ../rocprofiler
+[submodule "libs/roctracer"]
+	path = libs/roctracer
+	url = ../roctracer
+[submodule "libs/rdc"]
+	path = libs/rdc
+	url = ../rdc
+[submodule "libs/HIP"]
+	path = libs/HIP
+	url = ../HIP
+[submodule "libs/clr"]
+	path = libs/clr
+	url = ../clr
+[submodule "libs/hipother"]
+	path = libs/hipother
+	url = ../hipother
+[submodule "libs/HIPIFY"]
+	path = libs/HIPIFY
+	url = ../HIPIFY
+[submodule "libs/llvm-project"]
+	path = libs/llvm-project
+	url = ../llvm-project
+[submodule "libs/half"]
+	path = libs/half
+	url = ../half
+[submodule "libs/ROCgdb"]
+	path = libs/ROCgdb
+	url = ../ROCgdb
+[submodule "libs/ROCdbgapi"]
+	path = libs/ROCdbgapi
+	url = ../ROCdbgapi
+[submodule "libs/rocr_debug_agent"]
+	path = libs/rocr_debug_agent
+	url = ../rocr_debug_agent
+[submodule "libs/rocBLAS"]
+	path = libs/rocBLAS
+	url = ../rocBLAS
+[submodule "libs/Tensile"]
+	path = libs/Tensile
+	url = ../Tensile
+[submodule "libs/hipTensor"]
+	path = libs/hipTensor
+	url = ../hipTensor
+[submodule "libs/hipBLAS"]
+	path = libs/hipBLAS
+	url = ../hipBLAS
+[submodule "libs/hipBLASLt"]
+	path = libs/hipBLASLt
+	url = ../hipBLASLt
+[submodule "libs/rocFFT"]
+	path = libs/rocFFT
+	url = ../rocFFT
+[submodule "libs/hipFFT"]
+	path = libs/hipFFT
+	url = ../hipFFT
+[submodule "libs/rocRAND"]
+	path = libs/rocRAND
+	url = ../rocRAND
+[submodule "libs/hipRAND"]
+	path = libs/hipRAND
+	url = ../hipRAND
+[submodule "libs/rocSPARSE"]
+	path = libs/rocSPARSE
+	url = ../rocSPARSE
+[submodule "libs/hipSPARSELt"]
+	path = libs/hipSPARSELt
+	url = ../hipSPARSELt
+[submodule "libs/rocSOLVER"]
+	path = libs/rocSOLVER
+	url = ../rocSOLVER
+[submodule "libs/hipSOLVER"]
+	path = libs/hipSOLVER
+	url = ../hipSOLVER
+[submodule "libs/hipSPARSE"]
+	path = libs/hipSPARSE
+	url = ../hipSPARSE
+[submodule "libs/rocALUTION"]
+	path = libs/rocALUTION
+	url = ../rocALUTION
+[submodule "libs/rocThrust"]
+	path = libs/rocThrust
+	url = ../rocThrust
+[submodule "libs/hipCUB"]
+	path = libs/hipCUB
+	url = ../hipCUB
+[submodule "libs/rocPRIM"]
+	path = libs/rocPRIM
+	url = ../rocPRIM
+[submodule "libs/rocWMMA"]
+	path = libs/rocWMMA
+	url = ../rocWMMA
+[submodule "libs/rccl"]
+	path = libs/rccl
+	url = ../rccl
+[submodule "libs/MIOpen"]
+	path = libs/MIOpen
+	url = ../MIOpen
+[submodule "libs/composable_kernel"]
+	path = libs/composable_kernel
+	url = ../composable_kernel
+[submodule "libs/MIVisionX"]
+	path = libs/MIVisionX
+	url = ../MIVisionX
+[submodule "libs/rpp"]
+	path = libs/rpp
+	url = ../rpp
+[submodule "libs/hipfort"]
+	path = libs/hipfort
+	url = ../hipfort
+[submodule "libs/AMDMIGraphX"]
+	path = libs/AMDMIGraphX
+	url = ../AMDMIGraphX
+[submodule "libs/ROCmValidationSuite"]
+	path = libs/ROCmValidationSuite
+	url = ../ROCmValidationSuite
+[submodule "libs/openmp-extras/aomp"]
+	path = libs/openmp-extras/aomp
+	url = ../aomp
+[submodule "libs/openmp-extras/aomp-extras"]
+	path = libs/openmp-extras/aomp-extras
+	url = ../aomp-extras
+[submodule "libs/openmp-extras/flang"]
+	path = libs/openmp-extras/flang
+	url = ../flang
+[submodule "libs/rocDecode"]
+	path = libs/rocDecode
+	url = ../rocDecode
+[submodule "libs/rocprofiler-sdk"]
+	path = libs/rocprofiler-sdk
+	url = ../rocprofiler-sdk
+[submodule "libs/rocm-examples"]
+	path = libs/rocm-examples
+	url = ../rocm-examples
+[submodule "libs/rocPyDecode"]
+	path = libs/rocPyDecode
+	url = ../rocPyDecode
+[submodule "libs/rocAL"]
+	path = libs/rocAL
+	url = ../rocAL
+[submodule "libs/rocprofiler-register"]
+	path = libs/rocprofiler-register
+	url = ../rocprofiler-register
+[submodule "libs/rocprofiler-compute"]
+	path = libs/rocprofiler-compute
+	url = ../rocprofiler-compute
+[submodule "libs/rocprofiler-systems"]
+	path = libs/rocprofiler-systems
+	url = ../rocprofiler-systems
+[submodule "libs/hip-tests"]
+	path = libs/hip-tests
+	url = ../hip-tests
+[submodule "libs/rocJPEG"]
+	path = libs/rocJPEG
+	url = ../rocJPEG
+[submodule "libs/spirv-llvm-translator"]
+	path = libs/spirv-llvm-translator
+	url = ../spirv-llvm-translator
+[submodule "libs/hipBLAS-common"]
+	path = libs/hipBLAS-common
+	url = ../hipBLAS-common
+[submodule "libs/rocSHMEM"]
+	path = libs/rocSHMEM
+	url = ../rocSHMEM
+[submodule "libs/TransferBench"]
+	path = libs/TransferBench
+	url = ../TransferBench
--- a/.wordlist.txt
+++ b/.wordlist.txt
@@ -752,7 +752,6 @@ profilers
 protobuf
 pseudorandom
 py
-pytorch
 recommender
 recommenders
 quantile
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -4,117 +4,9 @@ This page is a historical overview of changes made to ROCm components. This
 consolidated changelog documents key modifications and improvements across
 different versions of the ROCm software stack and its components.

-## ROCm 6.4.1
-
-See the [ROCm 6.4.1 release notes](https://rocm-stg.amd.com/en/latest/about/release-notes.html)
-for a complete overview of this release.
-
-### **AMD SMI** (25.4.2)
-
-#### Added
-
-* Dumping CPER entries from RAS tool `amdsmi_get_gpu_cper_entries()` to Python and C APIs.
-  - Dumping CPER entries consist of `amdsmi_cper_hdr_t`.
-  - Dumping CPER entries is also enabled in the CLI interface through `sudo amd-smi ras --cper`.
-
-#### Resolved
-
-* Fixed partition enumeration in `amd-smi list -e`, `amdsmi_get_gpu_enumeration_info()`, `amdsmi_enumeration_info_t`, `drm_card`, and `drm_render` fields.
-
-```{note}
-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.
-```
-
-### **HIP** (6.4.1)
-
-#### Added
-
-* New debug mask, to print precise code object information for logging.
-
-#### Changed
-
-* Calling the code object has changed. HIP runtime now uses device bitcode before SPIR-V.
-
-#### Optimized
-
-* Improved kernel logging using the demangling shader names.
-
-#### Resolved issues
-
-* Stale state during the graph capture. The return error was fixed, and HIP runtime now always uses the latest dependent nodes during `hipEventRecord` capture.
-* Issue of `hipEventRecords` failing to call the `hip::getStream` runtime function.
-
-### **hipBLASLt** (0.12.1)
-
-#### Resolved issues
-
-* Fixed an accuracy issue for some solutions using an `FP32` or `TF32` data type with a TT transpose.
-
-### **RCCL** (2.22.3)
-
-#### Changed
-
-* MSCCL++ is now disabled by default. To enable it, set `RCCL_MSCCLPP_ENABLE=1`.
-
-#### Resolved issues
-
-* Fixed an issue where early termination, in rare circumstances, could cause the application to stop responding by adding synchronization before destroying a proxy thread.
-* Fixed the accuracy issue for the MSCCLPP `allreduce7` kernel in graph mode.
-
-### **rocALUTION** (3.2.3)
-
-#### Added
-
-* The `-a` option has been added to the `rmake.py` build script. This option allows you to select specific architectures when building on Microsoft Windows.
-
-#### Resolved issues
-
-* Fixed an issue where the `HIP_PATH` environment variable was being ignored when compiling on Microsoft Windows.
-
-### **ROCm Data Center Tool** (0.3.0)
-
-#### Added
-
- Support for GPU partitions.
- `RDC_FI_GPU_BUSY_PERCENT` metric.
-
-#### Changed
-
- Updated `rdc_field` to align with `rdc_bootstrap` for current metrics.
-
-#### Resolved issues
-
- Fixed [ROCProfiler](https://rocm.docs.amd.com/projects/rocprofiler/en/docs-6.4.0/index.html) eval metrics and memory leaks.
-
-### **ROCm SMI** (7.5.0)
-
-#### Resolved issues
-
- Fixed partition enumeration. It now refers to the correct DRM Render and Card paths.
-
-```{note}
-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** (1.0.1)
-
-#### Added 
-
-* How-to document for [network performance profiling](https://rocm.docs.amd.com/projects/rocprofiler-systems/en/amd-staging/how-to/nic-profiling.html) for standard Network Interface Cards (NICs).
-
-#### Resolved issues
-
-* Fixed a build issue with Dyninst on GCC 13.
-
-### **ROCr Runtime** (1.15.0)
-
-#### Resolved issues
-
-* Fixed a rare occurrence issue on AMD Instinct MI25, MI50, and MI100 GPUs, where the `SDMA` copies might start before the dependent Kernel finishes and could cause memory corruption.
-
 ## ROCm 6.4.0

-See the [ROCm 6.4.0 release notes](https://rocm.docs.amd.com/en/docs-6.4.0/about/release-notes.html)
+See the [ROCm 6.4.0 release notes](https://rocm-stg.amd.com/en/latest/about/release-notes.html)
 for a complete overview of this release.

 ### **AMD SMI** (25.3.0)
@@ -233,7 +125,8 @@ 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/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
+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.
 ```

 ### **AMDMIGraphX** (2.12.0)
@@ -843,7 +736,8 @@ 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/release/rocm-rel-6.4/CHANGELOG.md) for details, examples, and in-depth descriptions.
+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.
 ```

 ### **ROCm Systems Profiler** (1.0.0)
@@ -3561,7 +3455,7 @@ 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/rocprofiler-compute/issues/347).
+  issue is fixed in a future release of Omniperf. See [#347](https://github.com/ROCm/omniperf/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
@@ -4438,7 +4332,7 @@ 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/docs-6.1.0/usermanual/solvers.html#unsmoothed-aggregation-amg).
+  [API documentation](https://rocm.docs.amd.com/projects/rocALUTION/en/latest/usermanual/solvers.html#unsmoothed-aggregation-amg).

 ### **rocDecode** (0.5.0)

--- a/Manifest6.4.0
+++ b/Manifest6.4.0
@@ -1,81 +0,0 @@
-This XML file does not appear to have any style information associated with it. The document tree is shown below.
-<manifest>
-<remote name="gerritgit" fetch="ssh://gerritgit/" review="gerrit-git.amd.com"/>
-<remote name="lightning-ghemu" fetch="ssh://github-emu/AMD-Lightning-Internal"/>
-<remote name="rocm" fetch="https://github.com/ROCm"/>
-<remote name="rocm-ghemu" fetch="ssh://github-emu/AMD-ROCm-Internal"/>
-<default remote="gerritgit" revision="release/rocm-rel-6.4" sync-j="4" sync-c="true"/>
-<project name="AMDMIGraphX" remote="rocm" revision="908b94a3f0822a4fee89d99c3cfc51cd9c93f2f6" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="MIOpen" remote="rocm" revision="f10c6ed8085cfabf8877294ab44301d8180999e8" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="MIVisionX" remote="rocm" revision="a2b69e5b30f2dbdf66055ec99a2b5559b572f7af" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="OpenCL-CLHPP" remote="rocm-ghemu" revision="6f7e82dee83aea7f277a4b874da309902ea51f6e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="OpenCL-Headers" remote="rocm-ghemu" revision="848d67b6fd471318816a81601d469b086487d18e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="ROCR-Runtime" remote="rocm-ghemu" revision="1d9f08cabd33bd6302add72d0be2bfe0e64eea3a" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="ROCdbgapi" remote="rocm-ghemu" revision="59be7ff0aaafe82feb78f30990c8fdf62838cc98" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="ROCgdb" remote="rocm-ghemu" revision="401bb21f2f3c72bbb90ccce12dc3ef481f9a1d8a" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="ROCmValidationSuite" remote="rocm" revision="5f1a9665f6241b0346c88cfd21a6073628da3593" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="Tensile" remote="rocm" revision="be49885fce2a61b600ae4593f1c2d00c8b4fa11e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="TransferBench" remote="rocm" revision="3ea2f226ec818158ba97e4ee0ec0b589f13f4641" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="amdsmi" remote="rocm-ghemu" revision="e6a209ef809f1b09a424572afd685ec754a9042b" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="aomp" path="openmp-extras/aomp" remote="lightning-ghemu" revision="24932c59c0759a57ee52d327d9a10a2e466e35a7" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="llvmdeps,stage1"/>
-<project name="aomp-extras" path="openmp-extras/aomp-extras" remote="lightning-ghemu" revision="6f8038ada9dec082ea091d30c98c0834669d12a1" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="llvmdeps,stage1"/>
-<project name="aqlprofile" remote="rocm-ghemu" revision="7fae75ec6bf7b1a631707ae859542d733f8a1f43" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="build-infra" path="ROCm" remote="rocm-ghemu" revision="811ec9cc6d1588bf66619365b9b4db96ac6acf68" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="infra"/>
-<project name="clr" remote="rocm-ghemu" revision="a1adcfdd44f4560c0268e36c8afeb94f760dc963" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="composable_kernel" remote="rocm" revision="a8c5bd9b9ad950c3e742877e01cb784da91664e3" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="compute/ec/hip-examples" path="HIP-Examples" revision="41b0cff8077a25390c2bbda827eb9f6f37ec1ef3" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="compute/ec/hip-examples-private" path="hip-examples-private" revision="dc69edb405804987753735a369478503d82ce9c2" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="compute/ec/jenkins-utils" path="jenkins-utils" revision="bb517b014ff055b62d3860addc23ddd06b0c3e6e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="infra,stage1"/>
-<project name="compute/ec/ml-framework-ci" path="ml-framework-ci" revision="83440e22ebf1e9443b6df737224c1e5e2b91e0c4" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="infra,framework"/>
-<project name="compute/ec/packaging/meta" path="meta" revision="c7cffa2e4199da1fd68b8b3568282dd59d49a4df" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="infra,stage1"/>
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-<project name="hipFFT" remote="rocm" revision="396169c84a2bb3c7ed7245caefe66002138e7c6c" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="hipRAND" remote="rocm" revision="d2516cc199690fd91abfdc5908ecfd88e3553067" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="hipSOLVER" remote="rocm" revision="ca0de3c9c95df4345b76cd8a56e72c84b7d5fc79" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
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-<project name="rocALUTION" remote="rocm" revision="cb256de3574a4fcbc6a52ed5986b787173cd6dc2" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
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-<project name="rocDecode" remote="rocm" revision="a2a7b63cad8f90a94e21232b44460a8fb2d52304" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocFFT" remote="rocm" revision="058ba87fdcfdae334dbc8dbe048955b248e9328a" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocJPEG" remote="rocm" revision="73d36d35d90137ffbfcec276bdf973823ef0c0b9" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocPRIM" remote="rocm" revision="d8771ec18ad45c4d697800c22fb21241f22a915f" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocPyDecode" remote="rocm" revision="848e49d29d4d6173fb4b57a9223ce68c049baa28" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocRAND" remote="rocm" revision="4d5d3a88d1898705dadf5c06e7b0400d51a13c36" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocSHMEM" remote="rocm" revision="7702b3c0f3f41baf6a80aa6b22fa90dec1a6801e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocSOLVER" remote="rocm" revision="db754e3f55daab54abb86f17cd6b4066c504e163" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocSPARSE" remote="rocm" revision="4953add0aee37ad26700e8bcd6defbfa6b3a4d08" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocThrust" remote="rocm" revision="6bf2777019827e1a2898547ced9a03bf5024ed7d" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocWMMA" remote="rocm" revision="1a5b6231663fcf3e00abf790aeae843278f16a65" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocm-cmake" remote="rocm" revision="ecc716b97c2239cff00422ed7a43cd52a0839a0e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="rocm-core" remote="rocm-ghemu" revision="73dae9c82ace4fb8e1e4028f86ff0365f21c9f51" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="infra,stage1"/>
-<project name="rocm-examples" remote="rocm" revision="3bbd2987a3b46cfd2c8348c2317042f3ad604e38" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocm_smi_lib" remote="rocm-ghemu" revision="1f242d314916336d6ce5c731f486edfaa8f0b987" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocminfo" remote="rocm-ghemu" revision="6ea2ba38c8e1ab2899acf66878148b1192fd0bee" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocprofiler" remote="rocm-ghemu" revision="40da7312a06f8052f5c148a4709cab64686f881d" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocprofiler-compute" remote="rocm" revision="7b25d958b4e030ea64a24ed0a62dcac1e48193ab" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocprofiler-register-internal" path="rocprofiler-register" remote="rocm-ghemu" revision="7c6cd44f637d400b50b803b0b351be302ad6827d" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocprofiler-sdk-internal" path="rocprofiler-sdk" remote="rocm-ghemu" revision="e8e49fe76971000a42a5a177d9a727d16dd0ebcf" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocprofiler-systems" remote="rocm" revision="2e945e4a08781e13a822f568814e2c434fd8858f" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rocr_debug_agent" remote="rocm-ghemu" revision="9eec1a52a36b5203bbac54a1b442fe9a45b6a43e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="roctracer" remote="rocm-ghemu" revision="f55a6943816641c081aa167c8a45904ddae2ba5e" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="stage1"/>
-<project name="rpp" remote="rocm" revision="5fb204ca7018b87889e061b720c5b06f6b9bce9b" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="mathlibs"/>
-<project name="spirv-llvm-translator" path="llvm-project/llvm/projects/SPIRV-LLVM-Translator" remote="lightning-ghemu" revision="ae12ddbec86765df369b18ac764e170082079819" upstream="release/rocm-rel-6.4" dest-branch="release/rocm-rel-6.4" groups="llvmdeps,stage1"/>
-</manifest>
--- a/README.md
+++ b/README.md
@@ -21,19 +21,7 @@ source software compilers, debuggers, and libraries. ROCm is fully integrated in

 ## 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. 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.
-
-### 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:
-
-```bash
-mkdir -p ~/bin/
-curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
-chmod a+x ~/bin/repo
-```
-
-**Note:** The ```~/bin/``` folder is used as an example. You can specify a different folder to install the repo tool into if you desire.
+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 submodules that point to the correct versions of each of the ROCm components. They can be found in the `/libs` directory of the ROCm repository.

 ### Installing git-lfs

@@ -45,18 +33,12 @@ 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:
+The following example shows how to download the ROCm source from this repository.

 ```bash
-mkdir -p ~/ROCm/
-cd ~/ROCm/
-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
+git clone https://github.com/ROCm/ROCm -b submodules-6-4-0 --recurse-submodules
 ```

-**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

 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.
@@ -77,9 +59,8 @@ The Build time will reduce significantly if we limit the GPU Architecture/s agai

 mkdir -p ~/WORKSPACE/      # Or any folder name other than WORKSPACE
 cd ~/WORKSPACE/
-export ROCM_VERSION=6.4.0
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.4.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
-~/bin/repo sync
+export ROCM_VERSION=6.4.0   # or 6.3.0, 6.2.0. 6.1.0
+git clone https://github.com/ROCm/ROCm -b submodules-${ROCM_VERSION} --recurse-submodules

 # --------------------------------------
 # Step 2: Prepare build environment
@@ -158,12 +139,6 @@ Note: [Overview for ROCm.mk](tools/rocm-build/README.md)

 ## ROCm documentation

-This repository contains the [manifest file](https://gerrit.googlesource.com/git-repo/+/HEAD/docs/manifest-format.md)
-for ROCm releases, changelogs, and release information.
-
-The `default.xml` file contains information for all repositories and the associated commit used to build
-the current ROCm release; `default.xml` uses the [Manifest Format repository](https://gerrit.googlesource.com/git-repo/).
-
 Source code for our documentation is located in the `/docs` folder of most ROCm repositories. The
 `develop` branch of our repositories contains content for the next ROCm release.

--- a/RELEASE.md
+++ b/RELEASE.md
--- a/docs/about/license.md
+++ b/docs/about/license.md
@@ -81,7 +81,6 @@ additional licenses. Please review individual repositories for more information.
 | [rocRAND](https://github.com/ROCm/rocRAND/) | [MIT](https://github.com/ROCm/rocRAND/blob/develop/LICENSE.txt) |
 | [ROCr Debug Agent](https://github.com/ROCm/rocr_debug_agent/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocr_debug_agent/blob/amd-staging/LICENSE.txt) |
 | [ROCR-Runtime](https://github.com/ROCm/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/ROCm/ROCR-Runtime/blob/amd-staging/LICENSE.txt) |
-| [rocSHMEM](https://github.com/ROCm/rocSHMEM/) | [MIT](https://github.com/ROCm/rocSHMEM/blob/develop/LICENSE.md) |
 | [rocSOLVER](https://github.com/ROCm/rocSOLVER/) | [BSD-2-Clause](https://github.com/ROCm/rocSOLVER/blob/develop/LICENSE.md) |
 | [rocSPARSE](https://github.com/ROCm/rocSPARSE/) | [MIT](https://github.com/ROCm/rocSPARSE/blob/develop/LICENSE.md) |
 | [rocThrust](https://github.com/ROCm/rocThrust/) | [Apache 2.0](https://github.com/ROCm/rocThrust/blob/develop/LICENSE) |
--- a/docs/compatibility/compatibility-matrix-historical-6.0.csv
+++ b/docs/compatibility/compatibility-matrix-historical-6.0.csv
@@ -1,122 +1,121 @@
-ROCm Version,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.5, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.0.0
-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2,"Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04","Ubuntu 24.04.1, 24.04",Ubuntu 24.04,,,,,,
-      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 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 9.5, 9.4","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.4, 9.3, 9.2","RHEL 9.3, 9.2","RHEL 9.3, 9.2"
-      ,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 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,"SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP6, SP5","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4","SLES 15 SP5, SP4"
-      ,,,,,,,,,,,,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9,CentOS 7.9
-      ,"Oracle Linux 9, 8 [#mi300x-past-60]_","Oracle Linux 9, 8 [#mi300x-past-60]_",Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.10 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,Oracle Linux 8.9 [#mi300x-past-60]_,,,
-,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,Debian 12 [#single-node-past-60]_,,,,,,,,,,,
-,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,Azure Linux 3.0 [#mi300x-past-60]_,,,,,,,,,,,,
-      ,.. _architecture-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`Architecture <rocm-install-on-linux:reference/system-requirements>`,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3,CDNA3
-      ,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2,CDNA2
-      ,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA,CDNA
-      ,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3,RDNA3
-      ,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2,RDNA2
-      ,.. _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,gfx1100
-      ,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030,gfx1030
-      ,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942,gfx942 [#mi300_624-past-60]_,gfx942 [#mi300_622-past-60]_,gfx942 [#mi300_621-past-60]_,gfx942 [#mi300_620-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_612-past-60]_, gfx942 [#mi300_611-past-60]_, gfx942 [#mi300_610-past-60]_, gfx942 [#mi300_602-past-60]_, gfx942 [#mi300_600-past-60]_
-      ,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a,gfx90a
-      ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
-,,,,,,,,,,,,,,,,
-      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
-      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
-      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.35,0.4.31,0.4.31,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.2,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
-,,,,,,,,,,,,,,,,
-      ,,,,,,,,,,,,,,,,
-      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.3.0,>=1.2.0,>=1.2.0
-      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.15.0,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1,>=1.14.1
-      ,,,,,,,,,,,,,,,,
-      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      Thrust,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-      CUB,2.5.0,2.5.0,2.3.2,2.3.2,2.3.2,2.3.2,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.1,2.0.1
-,,,,,,,,,,,,,,,,
-      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","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.4.x, 6.3.x, 6.2.x, 6.1.x, 6.0.x, 5.7.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x","6.2.x, 6.1.x, 6.0.x, 5.7.x, 5.6.x"
-      ,,,,,,,,,,,,,,,,
-      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0
-      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.12.0,2.11.0,2.11.0,2.11.0,2.11.0,2.10.0,2.10.0,2.10.0,2.10.0,2.9.0,2.9.0,2.9.0,2.9.0,2.8.0,2.8.0
-      :doc:`MIOpen <miopen:index>`,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0,2.5.0
-      :doc:`rocAL <rocal:index>`,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0,2.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.6.0,0.5.0,0.5.0,N/A,N/A
-      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.8.0,0.6.0,0.6.0,0.6.0,0.6.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.3.1,0.2.0,0.2.0,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`RPP <rpp:index>`,1.9.10,1.9.10,1.9.1,1.9.1,1.9.1,1.9.1,1.8.0,1.8.0,1.8.0,1.8.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0
-      ,,,,,,,,,,,,,,,,
-      COMMUNICATION,.. _commlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`RCCL <rccl:index>`,2.22.3,2.22.3,2.21.5,2.21.5,2.21.5,2.21.5,2.20.5,2.20.5,2.20.5,2.20.5,2.18.6,2.18.6,2.18.6,2.18.6,2.18.3,2.18.3
-      `rocSHMEM <https://github.com/ROCm/rocSHMEM>`_ ,2.0.0,2.0.0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A
-      ,,,,,,,,,,,,,,,,
-      MATH LIBS,.. _mathlibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.0,2.1.0,2.1.0,2.1.0,2.0.0,2.0.0
-      :doc:`hipBLASLt <hipblaslt:index>`,0.12.1,0.12.0,0.10.0,0.10.0,0.10.0,0.10.0,0.8.0,0.8.0,0.8.0,0.8.0,0.7.0,0.7.0,0.7.0,0.7.0,0.6.0,0.6.0
-      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.18,1.0.17,1.0.17,1.0.17,1.0.17,1.0.16,1.0.15,1.0.15,1.0.14,1.0.14,1.0.14,1.0.14,1.0.14,1.0.13,1.0.13
-      :doc:`hipfort <hipfort:index>`,0.6.0,0.6.0,0.5.1,0.5.1,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0
-      :doc:`hipRAND <hiprand:index>`,2.12.0,2.12.0,2.11.1,2.11.1,2.11.1,2.11.0,2.11.1,2.11.0,2.11.0,2.11.0,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16,2.10.16
-      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.4.0,2.3.0,2.3.0,2.3.0,2.3.0,2.2.0,2.2.0,2.2.0,2.2.0,2.1.1,2.1.1,2.1.1,2.1.0,2.0.0,2.0.0
-      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.1.1,3.1.1,3.1.1,3.1.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.3,0.2.2,0.2.2,0.2.2,0.2.2,0.2.1,0.2.1,0.2.1,0.2.1,0.2.0,0.2.0,0.1.0,0.1.0,0.1.0,0.1.0
-      :doc:`rocALUTION <rocalution:index>`,3.2.3,3.2.2,3.2.1,3.2.1,3.2.1,3.2.1,3.2.1,3.2.0,3.2.0,3.2.0,3.1.1,3.1.1,3.1.1,3.1.1,3.0.3,3.0.3
-      :doc:`rocBLAS <rocblas:index>`,4.4.0,4.4.0,4.3.0,4.3.0,4.3.0,4.3.0,4.2.4,4.2.1,4.2.1,4.2.0,4.1.2,4.1.2,4.1.0,4.1.0,4.0.0,4.0.0
-      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.32,1.0.31,1.0.31,1.0.31,1.0.31,1.0.30,1.0.29,1.0.29,1.0.28,1.0.27,1.0.27,1.0.27,1.0.26,1.0.25,1.0.23
-      :doc:`rocRAND <rocrand:index>`,3.3.0,3.3.0,3.2.0,3.2.0,3.2.0,3.2.0,3.1.1,3.1.0,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,2.10.17
-      :doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.28.0,3.27.0,3.27.0,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
-      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
-      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.7.0,1.6.0,1.6.0,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
-      :doc:`Tensile <tensile:src/index>`,4.43.0,4.43.0,4.42.0,4.42.0,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
-      ,,,,,,,,,,,,,,,,
-      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`hipCUB <hipcub:index>`,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0,1.3.0,1.3.0,1.2.0,1.2.0,1.2.0,1.2.0,1.1.0,1.1.0
-      :doc:`rocPRIM <rocprim:index>`,3.4.0,3.4.0,3.3.0,3.3.0,3.3.0,3.3.0,3.2.2,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0
-      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.3.0,3.1.1,3.1.0,3.1.0,3.0.1,3.0.1,3.0.1,3.0.1,3.0.1,3.0.0,3.0.0
-      ,,,,,,,,,,,,,,,,
-      SUPPORT LIBS,,,,,,,,,,,,,,,,
-      `hipother <https://github.com/ROCm/hipother>`_,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.1,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0,6.1.5,6.1.2,6.1.1,6.1.0,6.0.2,6.0.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,N/A [#ROCT-rocr-past-60]_,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>`,25.4.2,25.3.0,24.7.1,24.7.1,24.7.1,24.7.1,24.6.3,24.6.3,24.6.3,24.6.2,24.5.1,24.5.1,24.5.1,24.4.1,23.4.2,23.4.2
-      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0,0.3.0
-      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.5.0,7.4.0,7.4.0,7.4.0,7.4.0,7.3.0,7.3.0,7.3.0,7.3.0,7.2.0,7.2.0,7.0.0,7.0.0,6.0.2,6.0.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.1.0,1.0.60204,1.0.60202,1.0.60201,1.0.60200,1.0.60105,1.0.60102,1.0.60101,1.0.60100,1.0.60002,1.0.60000
-      ,,,,,,,,,,,,,,,,
-      PERFORMANCE TOOLS,,,,,,,,,,,,,,,,
-      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.1.0,3.0.0,3.0.0,3.0.0,3.0.0,2.0.1,2.0.1,2.0.1,2.0.1,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.1,1.0.0,0.1.2,0.1.1,0.1.0,0.1.0,1.11.2,1.11.2,1.11.2,1.11.2,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60401,2.0.60400,2.0.60303,2.0.60302,2.0.60301,2.0.60300,2.0.60204,2.0.60202,2.0.60201,2.0.60200,2.0.60105,2.0.60102,2.0.60101,2.0.60100,2.0.60002,2.0.60000
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.6.0,0.5.0,0.5.0,0.5.0,0.5.0,0.4.0,0.4.0,0.4.0,0.4.0,N/A,N/A,N/A,N/A,N/A,N/A
-      :doc:`ROCTracer <roctracer:index>`,4.1.60401,4.1.60400,4.1.60303,4.1.60302,4.1.60301,4.1.60300,4.1.60204,4.1.60202,4.1.60201,4.1.60200,4.1.60105,4.1.60102,4.1.60101,4.1.60100,4.1.60002,4.1.60000
-      ,,,,,,,,,,,,,,,,
-      DEVELOPMENT TOOLS,,,,,,,,,,,,,,,,
-      :doc:`HIPIFY <hipify:index>`,19.0.0,19.0.0,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.14.0,0.13.0,0.13.0,0.13.0,0.13.0,0.12.0,0.12.0,0.12.0,0.12.0,0.11.0,0.11.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.2,0.77.0,0.77.0,0.77.0,0.77.0,0.76.0,0.76.0,0.76.0,0.76.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0,0.71.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,15.2.0,14.2.0,14.2.0,14.2.0,14.2.0,14.1.0,14.1.0,14.1.0,14.1.0,13.2.0,13.2.0
-      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.4.0,0.3.0,0.3.0,0.3.0,0.3.0,N/A,N/A
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.4,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3,2.0.3
-      ,,,,,,,,,,,,,,,,
-      COMPILERS,.. _compilers-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0,0.5.0
-      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.1.1,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0,1.0.0
-      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25172,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24455,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      :doc:`llvm-project <llvm-project:index>`,19.0.0.25172,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25172,19.0.0.25133,18.0.0.25012,18.0.0.25012,18.0.0.24491,18.0.0.24491,18.0.0.24392,18.0.0.24355,18.0.0.24355,18.0.0.24232,17.0.0.24193,17.0.0.24193,17.0.0.24154,17.0.0.24103,17.0.0.24012,17.0.0.23483
-,,,,,,,,,,,,,,,,
-      RUNTIMES,.. _runtime-support-compatibility-matrix-past-60:,,,,,,,,,,,,,,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      :doc:`HIP <hip:index>`,6.4.43483,6.4.43482,6.3.42134,6.3.42134,6.3.42133,6.3.42131,6.2.41134,6.2.41134,6.2.41134,6.2.41133,6.1.40093,6.1.40093,6.1.40092,6.1.40091,6.1.32831,6.1.32830
-      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0,2.0.0
-      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.15.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.14.0,1.13.0,1.13.0,1.13.0,1.13.0,1.13.0,1.12.0,1.12.0
+ROCm Version,6.4.0,6.3.3,6.3.2,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 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
--- a/docs/compatibility/compatibility-matrix.rst
+++ b/docs/compatibility/compatibility-matrix.rst
@@ -23,15 +23,15 @@ compatibility and system requirements.
 .. container:: format-big-table

  .. csv-table::
-      :header: "ROCm Version", "6.4.1", "6.4.0", "6.3.0"
+      :header: "ROCm Version", "6.4.0", "6.3.3", "6.2.0"
      :stub-columns: 1

-      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04.2
-      ,Ubuntu 22.04.5,Ubuntu 22.04.5,Ubuntu 22.04.5
-      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.5, 9.4"
-      ,RHEL 8.10,RHEL 8.10,RHEL 8.10
-      ,SLES 15 SP6,SLES 15 SP6,"SLES 15 SP6, SP5"
-      ,"Oracle Linux 9, 8 [#mi300x]_","Oracle Linux 9, 8 [#mi300x]_",Oracle Linux 8.10 [#mi300x]_
+      :ref:`Operating systems & kernels <OS-kernel-versions>`,Ubuntu 24.04.2,Ubuntu 24.04.2,Ubuntu 24.04
+      ,Ubuntu 22.04.5,Ubuntu 22.04.5,"Ubuntu 22.04.5, 22.04.4"
+      ,"RHEL 9.5, 9.4","RHEL 9.5, 9.4","RHEL 9.4, 9.3"
+      ,RHEL 8.10,RHEL 8.10,"RHEL 8.10, 8.9"
+      ,"SLES 15 SP6","SLES 15 SP6, SP5","SLES 15 SP6, SP5"
+      ,"Oracle Linux 9, 8 [#mi300x]_",Oracle Linux 8.10 [#mi300x]_,Oracle Linux 8.9 [#mi300x]_
      ,Debian 12 [#single-node]_,Debian 12 [#single-node]_,
      ,Azure Linux 3.0 [#mi300x]_,Azure Linux 3.0 [#mi300x]_,
      ,.. _architecture-support-compatibility-matrix:,,
@@ -43,107 +43,106 @@ compatibility and system requirements.
      ,.. _gpu-support-compatibility-matrix:,,
      :doc:`GPU / LLVM target <rocm-install-on-linux:reference/system-requirements>`,gfx1100,gfx1100,gfx1100
      ,gfx1030,gfx1030,gfx1030
-      ,gfx942,gfx942,gfx942
+      ,gfx942,gfx942,gfx942 [#mi300_620]_
      ,gfx90a,gfx90a,gfx90a
      ,gfx908,gfx908,gfx908
      ,,,
      FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
-      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 2.1, 2.0, 1.13"
-      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1"
-      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.35,0.4.31
-      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.2,1.2,1.17.3
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.6, 2.5, 2.4, 2.3","2.4, 2.3, 2.2, 1.13","2.3, 2.2, 2.1, 2.0, 1.13"
+      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.18.1, 2.17.1, 2.16.2","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1"
+      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.35,0.4.31,0.4.26
+      `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.20,1.17.3,1.17.3
      ,,,
      THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix:,,
      `UCC <https://github.com/ROCm/ucc>`_,>=1.3.0,>=1.3.0,>=1.3.0
      `UCX <https://github.com/ROCm/ucx>`_,>=1.15.0,>=1.15.0,>=1.15.0
      ,,,
      THIRD PARTY ALGORITHM,.. _thirdpartyalgorithm-support-compatibility-matrix:,,
-      Thrust,2.5.0,2.5.0,2.3.2
-      CUB,2.5.0,2.5.0,2.3.2
+      Thrust,2.5.0,2.3.2,2.2.0
+      CUB,2.5.0,2.3.2,2.2.0
      ,,,
      KMD & USER SPACE [#kfd_support]_,.. _kfd-userspace-support-compatibility-matrix:,,
-      KMD versions,"6.4.x, 6.3.x","6.4.x, 6.3.x","6.4.x, 6.3.x, 6.2.x, 6.1.x"
+      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, 6.0.x"
      ,,,
      ML & COMPUTER VISION,.. _mllibs-support-compatibility-matrix:,,
      :doc:`Composable Kernel <composable_kernel:index>`,1.1.0,1.1.0,1.1.0
-      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.12.0,2.11.0
-      :doc:`MIOpen <miopen:index>`,3.4.0,3.4.0,3.3.0
-      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.2.0,3.1.0
-      :doc:`rocAL <rocal:index>`,2.2.0,2.2.0,2.1.0
-      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.10.0,0.8.0
-      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.8.0,0.6.0
-      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.3.1,0.2.0
-      :doc:`RPP <rpp:index>`,1.9.10,1.9.10,1.9.1
+      :doc:`MIGraphX <amdmigraphx:index>`,2.12.0,2.11.0,2.10.0
+      :doc:`MIOpen <miopen:index>`,3.4.0,3.3.0,3.2.0
+      :doc:`MIVisionX <mivisionx:index>`,3.2.0,3.1.0,3.0.0
+      :doc:`rocAL <rocal:index>`,2.2.0,2.1.0,1.0.0
+      :doc:`rocDecode <rocdecode:index>`,0.10.0,0.8.0,0.6.0
+      :doc:`rocJPEG <rocjpeg:index>`,0.8.0,0.6.0,N/A
+      :doc:`rocPyDecode <rocpydecode:index>`,0.3.1,0.2.0,0.1.0
+      :doc:`RPP <rpp:index>`,1.9.10,1.9.1,1.8.0
      ,,,
      COMMUNICATION,.. _commlibs-support-compatibility-matrix:,,
-      :doc:`RCCL <rccl:index>`,2.22.3,2.22.3,2.21.5
-      `rocSHMEM <https://github.com/ROCm/rocSHMEM>`_ ,2.0.0,2.0.0,N/A
+      :doc:`RCCL <rccl:index>`,2.22.3,2.21.5,2.20.5
      ,,,
      MATH LIBS,.. _mathlibs-support-compatibility-matrix:,,
      `half <https://github.com/ROCm/half>`_ ,1.12.0,1.12.0,1.12.0
-      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.4.0,2.3.0
-      :doc:`hipBLASLt <hipblaslt:index>`,0.12.1,0.12.0,0.10.0
-      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.18,1.0.17
-      :doc:`hipfort <hipfort:index>`,0.6.0,0.6.0,0.5.0
-      :doc:`hipRAND <hiprand:index>`,2.12.0,2.12.0,2.11.0
-      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.4.0,2.3.0
-      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.2.0,3.1.2
-      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.3,0.2.2
-      :doc:`rocALUTION <rocalution:index>`,3.2.3,3.2.2,3.2.1
-      :doc:`rocBLAS <rocblas:index>`,4.4.0,4.4.0,4.3.0
-      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.32,1.0.31
-      :doc:`rocRAND <rocrand:index>`,3.3.0,3.3.0,3.2.0
-      :doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.28.0,3.27.0
-      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.4.0,3.3.0
-      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.7.0,1.6.0
-      :doc:`Tensile <tensile:src/index>`,4.43.0,4.43.0,4.42.0
+      :doc:`hipBLAS <hipblas:index>`,2.4.0,2.3.0,2.2.0
+      :doc:`hipBLASLt <hipblaslt:index>`,0.12.0,0.10.0,0.8.0
+      :doc:`hipFFT <hipfft:index>`,1.0.18,1.0.17,1.0.14
+      :doc:`hipfort <hipfort:index>`,0.6.0,0.5.1,0.4.0
+      :doc:`hipRAND <hiprand:index>`,2.12.0,2.11.1,2.11.0
+      :doc:`hipSOLVER <hipsolver:index>`,2.4.0,2.3.0,2.2.0
+      :doc:`hipSPARSE <hipsparse:index>`,3.2.0,3.1.2,3.1.1
+      :doc:`hipSPARSELt <hipsparselt:index>`,0.2.3,0.2.2,0.2.1
+      :doc:`rocALUTION <rocalution:index>`,3.2.2,3.2.1,3.2.0
+      :doc:`rocBLAS <rocblas:index>`,4.4.0,4.3.0,4.2.0
+      :doc:`rocFFT <rocfft:index>`,1.0.32,1.0.31,1.0.28
+      :doc:`rocRAND <rocrand:index>`,3.3.0,3.2.0,3.1.0
+      :doc:`rocSOLVER <rocsolver:index>`,3.28.0,3.27.0,3.26.0
+      :doc:`rocSPARSE <rocsparse:index>`,3.4.0,3.3.0,3.2.0
+      :doc:`rocWMMA <rocwmma:index>`,1.7.0,1.6.0,1.5.0
+      :doc:`Tensile <tensile:src/index>`,4.43.0,4.42.0,4.41.0
      ,,,
      PRIMITIVES,.. _primitivelibs-support-compatibility-matrix:,,
-      :doc:`hipCUB <hipcub:index>`,3.4.0,3.4.0,3.3.0
-      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.5.0,1.4.0
-      :doc:`rocPRIM <rocprim:index>`,3.4.0,3.4.0,3.3.0
-      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.3.0
+      :doc:`hipCUB <hipcub:index>`,3.4.0,3.3.0,3.2.0
+      :doc:`hipTensor <hiptensor:index>`,1.5.0,1.4.0,1.3.0
+      :doc:`rocPRIM <rocprim:index>`,3.4.0,3.3.0,3.2.0
+      :doc:`rocThrust <rocthrust:index>`,3.3.0,3.3.0,3.0.1
      ,,,
      SUPPORT LIBS,,,
-      `hipother <https://github.com/ROCm/hipother>`_,6.4.43483,6.4.43482,6.3.42131
-      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.1,6.4.0,6.3.0
-      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_
+      `hipother <https://github.com/ROCm/hipother>`_,6.4.43482,6.3.42134,6.2.41133
+      `rocm-core <https://github.com/ROCm/rocm-core>`_,6.4.0,6.3.3,6.2.0
+      `ROCT-Thunk-Interface <https://github.com/ROCm/ROCT-Thunk-Interface>`_,N/A [#ROCT-rocr]_,N/A [#ROCT-rocr]_,20240607.1.4246
      ,,,
      SYSTEM MGMT TOOLS,.. _tools-support-compatibility-matrix:,,
-      :doc:`AMD SMI <amdsmi:index>`,25.4.2,25.3.0,24.7.1
+      :doc:`AMD SMI <amdsmi:index>`,25.3.0,24.7.1,24.6.2
      :doc:`ROCm Data Center Tool <rdc:index>`,0.3.0,0.3.0,0.3.0
      :doc:`rocminfo <rocminfo:index>`,1.0.0,1.0.0,1.0.0
-      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.5.0,7.4.0
-      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.1.0
+      :doc:`ROCm SMI <rocm_smi_lib:index>`,7.5.0,7.4.0,7.3.0
+      :doc:`ROCm Validation Suite <rocmvalidationsuite:index>`,1.1.0,1.1.0,1.0.60200
      ,,,
      PERFORMANCE TOOLS,,,
      :doc:`ROCm Bandwidth Test <rocm_bandwidth_test:index>`,1.4.0,1.4.0,1.4.0
-      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.1.0,3.0.0
-      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.1,1.0.0,0.1.0
-      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60401,2.0.60400,2.0.60300
-      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.6.0,0.5.0
-      :doc:`ROCTracer <roctracer:index>`,4.1.60401,4.1.60400,4.1.60300
+      :doc:`ROCm Compute Profiler <rocprofiler-compute:index>`,3.1.0,3.0.0,2.0.1
+      :doc:`ROCm Systems Profiler <rocprofiler-systems:index>`,1.0.0,0.1.2,1.11.2
+      :doc:`ROCProfiler <rocprofiler:index>`,2.0.60400,2.0.60303,2.0.60200
+      :doc:`ROCprofiler-SDK <rocprofiler-sdk:index>`,0.6.0,0.5.0,0.4.0
+      :doc:`ROCTracer <roctracer:index>`,4.1.60400,4.1.60303,4.1.60200
      ,,,
      DEVELOPMENT TOOLS,,,
-      :doc:`HIPIFY <hipify:index>`,19.0.0,19.0.0,18.0.0.24455
-      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.14.0
-      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.2,0.77.0
-      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,15.2.0
+      :doc:`HIPIFY <hipify:index>`,19.0.0.25133,18.0.0.25012,18.0.0.24232
+      :doc:`ROCm CMake <rocmcmakebuildtools:index>`,0.14.0,0.14.0,0.13.0
+      :doc:`ROCdbgapi <rocdbgapi:index>`,0.77.2,0.77.0,0.76.0
+      :doc:`ROCm Debugger (ROCgdb) <rocgdb:index>`,15.2.0,15.2.0,14.2.0
      `rocprofiler-register <https://github.com/ROCm/rocprofiler-register>`_,0.4.0,0.4.0,0.4.0
-      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.4,2.0.3
+      :doc:`ROCr Debug Agent <rocr_debug_agent:index>`,2.0.4,2.0.3,2.0.3
      ,,,
      COMPILERS,.. _compilers-support-compatibility-matrix:,,
      `clang-ocl <https://github.com/ROCm/clang-ocl>`_,N/A,N/A,N/A
      :doc:`hipCC <hipcc:index>`,1.1.1,1.1.1,1.1.1
-      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25172,19.0.0.25133,18.0.0.24455
-      :doc:`llvm-project <llvm-project:index>`,19.0.0.25172,19.0.0.25133,18.0.0.24491
-      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25172,19.0.0.25133,18.0.0.24491
+      `Flang <https://github.com/ROCm/flang>`_,19.0.0.25133,18.0.0.25012,18.0.0.24232
+      :doc:`llvm-project <llvm-project:index>`,19.0.0.25133,18.0.0.25012,18.0.0.24232
+      `OpenMP <https://github.com/ROCm/llvm-project/tree/amd-staging/openmp>`_,19.0.0.25133,18.0.0.25012,18.0.0.24232
      ,,,
      RUNTIMES,.. _runtime-support-compatibility-matrix:,,
-      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43483,6.4.43482,6.3.42131
-      :doc:`HIP <hip:index>`,6.4.43483,6.4.43482,6.3.42131
+      :doc:`AMD CLR <hip:understand/amd_clr>`,6.4.43482,6.3.42134,6.2.41133
+      :doc:`HIP <hip:index>`,6.4.43482,6.3.42134,6.2.41133
      `OpenCL Runtime <https://github.com/ROCm/clr/tree/develop/opencl>`_,2.0.0,2.0.0,2.0.0
-      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.15.0,1.14.0
+      :doc:`ROCr Runtime <rocr-runtime:index>`,1.15.0,1.14.0,1.13.0


 .. rubric:: Footnotes
--- 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 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click the |docker-icon|
+`ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. Click the |docker-icon|
 icon to view the image on Docker Hub.

 .. list-table:: JAX Docker image components
@@ -68,26 +68,24 @@ icon to view the image on Docker Hub.
      - JAX
      - Linux
      - Python
-
    * - .. raw:: html

-           <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>
+           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.3.1-jax0.4.31-py3.12/images/sha256-085a0cd5207110922f1fca684933a9359c66d42db6c5aba4760ed5214fdabde0"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>

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

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

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

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

 .. list-table:: JAX community Docker image components
    :header-rows: 1
@@ -96,30 +94,27 @@ associated inventories are tested for `ROCm 6.3.2 <https://repo.radeon.com/rocm/
      - JAX
      - Linux
      - Python
-
    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.12.8/images/sha256-25dfaa0183e274bd0a3554a309af3249c6f16a1793226cb5373f418e39d3146a"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.12.7/images/sha256-a6032d89c07573b84c44e42c637bf9752b1b7cd2a222d39344e603d8f4c63beb?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

-      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
      - Ubuntu 22.04
-      - `3.12.8 <https://www.python.org/downloads/release/python-3128/>`_
-
+      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.11.11/images/sha256-ff9baeca9067d13e6c279c911e5a9e5beed0817d24fafd424367cc3d5bd381d7"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.11.10/images/sha256-d462f7e445545fba2f3b92234a21beaa52fe6c5f550faabcfdcd1bf53486d991?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

-      - `0.5.0 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.5.0>`_
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
      - Ubuntu 22.04
-      - `3.11.11 <https://www.python.org/downloads/release/python-31111/>`_
-
+      - `3.11.10 <https://www.python.org/downloads/release/python-31110/>`_
    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.3.2-jax0.5.0-py3.10.16/images/sha256-8bab484be1713655f74da51a191ed824bb9d03db1104fd63530a1ac3c37cf7b1"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.10.15/images/sha256-6f2d4d0f529378d9572f0e8cfdcbc101d1e1d335bd626bb3336fff87814e9d60?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>

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

 Critical ROCm libraries for JAX
 ================================================================================
--- a/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
+++ b/docs/compatibility/ml-compatibility/pytorch-compatibility.rst
@@ -21,68 +21,31 @@ release cycles for PyTorch on ROCm:

 - ROCm PyTorch release:

-  - Provides the latest version of ROCm but might not necessarily support the
-    latest stable PyTorch version.
+  - Provides the latest version of ROCm but doesn't immediately support the latest stable PyTorch
+    version.

  - Offers :ref:`Docker images <pytorch-docker-compat>` with ROCm and PyTorch
-    preinstalled.
+    pre-installed.

  - ROCm PyTorch repository: `<https://github.com/ROCm/pytorch>`_

-  - See the :doc:`ROCm PyTorch installation guide <rocm-install-on-linux:install/3rd-party/pytorch-install>`
-    to get started.
+  - See the :doc:`ROCm PyTorch installation guide <rocm-install-on-linux:install/3rd-party/pytorch-install>` to get started.

 - Official PyTorch release:

-  - Provides the latest stable version of PyTorch  but might not necessarily
-    support the latest ROCm version.
+  - Provides the latest stable version of PyTorch but doesn't immediately support the latest ROCm version.

  - Official PyTorch repository: `<https://github.com/pytorch/pytorch>`_

  - See the `Nightly and latest stable version installation guide <https://pytorch.org/get-started/locally/>`_
-    or `Previous versions <https://pytorch.org/get-started/previous-versions/>`_
-    to get started.
+    or `Previous versions <https://pytorch.org/get-started/previous-versions/>`_ to get started.

-PyTorch includes tooling that generates HIP source code from the CUDA backend.
-This approach allows PyTorch to support ROCm without requiring manual code
-modifications. For more information, see :doc:`HIPIFY <hipify:index>`.
+The upstream PyTorch includes an automatic HIPification solution that automatically generates HIP
+source code from the CUDA backend. This approach allows PyTorch to support ROCm without requiring
+manual code modifications.

-ROCm development is aligned with the stable release of PyTorch, while upstream
-PyTorch testing uses the stable release of ROCm to maintain consistency.
-
-.. _pytorch-recommendations:
-
-Use cases and recommendations
-================================================================================
-
-* :doc:`Using ROCm for AI: training a model </how-to/rocm-for-ai/training/benchmark-docker/pytorch-training>`
-  guides how to leverage the ROCm platform for training AI models. It covers the
-  steps, tools, and best practices for optimizing training workflows on AMD GPUs
-  using PyTorch features.
-
-* :doc:`Single-GPU fine-tuning and inference </how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference>`
-  describes and demonstrates how to use the ROCm platform for the fine-tuning
-  and inference of machine learning models, particularly large language models
-  (LLMs), on systems with a single GPU. This topic provides a detailed guide for
-  setting up, optimizing, and executing fine-tuning and inference workflows in
-  such environments.
-
-* :doc:`Multi-GPU fine-tuning and inference optimization </how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference>`
-  describes and demonstrates the fine-tuning and inference of machine learning
-  models on systems with multiple GPUs.
-
-* The :doc:`Instinct MI300X workload optimization guide </how-to/rocm-for-ai/inference-optimization/workload>`
-  provides detailed guidance on optimizing workloads for the AMD Instinct MI300X
-  accelerator using ROCm. This guide helps users achieve optimal performance for
-  deep learning and other high-performance computing tasks on the MI300X
-  accelerator.
-
-* The :doc:`Inception with PyTorch documentation </conceptual/ai-pytorch-inception>`
-  describes how PyTorch integrates with ROCm for AI workloads It outlines the
-  use of PyTorch on the ROCm platform and focuses on efficiently leveraging AMD
-  GPU hardware for training and inference tasks in AI applications.
-
-For more use cases and recommendations, see `ROCm PyTorch blog posts <https://rocm.blogs.amd.com/blog/tag/pytorch.html>`_.
+Development of ROCm is aligned with the stable release of PyTorch while upstream PyTorch testing uses
+the stable release of ROCm to maintain consistency.

 .. _pytorch-docker-compat:

@@ -93,10 +56,10 @@ Docker image compatibility

   <i class="fab fa-docker"></i>

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

 .. list-table:: PyTorch Docker image components
    :header-rows: 1
@@ -116,84 +79,9 @@ Click |docker-icon| to view the image on Docker Hub.

    * - .. raw:: html

-           <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>
+           <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>

-      - `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>`_
+      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
      - 24.04
      - `3.12.9 <https://www.python.org/downloads/release/python-3129/>`_
      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
@@ -206,29 +94,74 @@ Click |docker-icon| to view the image on Docker Hub.

    * - .. raw:: html

-           <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>
+           <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>

-      - `2.4.1 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - `2.4.0 <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>`_
+      - `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>
+
+      - `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/>`_
+      - `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/rocm6.4_ubuntu24.04_py3.12_pytorch_release_2.3.0/images/sha256-0434cbc9b07b2c26e39480d7447f676f9057a1054dcff00e0050c25a6eddbd3c"><i class="fab fa-docker fa-lg"></i></a>
+           <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>

-      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
-      - 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>`_
+      - `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>`_
      - `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>`_
@@ -236,25 +169,41 @@ Click |docker-icon| to view the image on Docker Hub.

    * - .. raw:: html

-           <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>
+           <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>

-      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
+      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
      - 22.04
-      - `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>`_
+      - `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>`_
      - `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>`_

-Key ROCm libraries for PyTorch
+Critical ROCm libraries for PyTorch
 ================================================================================

-PyTorch functionality on ROCm is determined by its underlying library
-dependencies. These ROCm components affect the capabilities, performance, and
-feature set available to developers.
+The functionality of PyTorch with ROCm is determined by its underlying library
+dependencies. These critical ROCm components affect the capabilities,
+performance, and feature set available to developers. The versions described
+are available in ROCm :version:`rocm_version`.

 .. list-table::
    :header-rows: 1
@@ -274,23 +223,24 @@ feature set available to developers.
      - :version-ref:`hipBLAS rocm_version`
      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
        matrix and vector operations.
-      - Supports operations such as matrix multiplication, matrix-vector
-        products, and tensor contractions. Utilized in both dense and batched
-        linear algebra operations.
+      - Supports operations like matrix multiplication, matrix-vector products,
+        and tensor contractions. Utilized in both dense and batched linear
+        algebra operations.
    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
      - :version-ref:`hipBLASLt rocm_version`
      - hipBLASLt is an extension of the hipBLAS library, providing additional
        features like epilogues fused into the matrix multiplication kernel or
        use of integer tensor cores.
-      - Accelerates operations such as ``torch.matmul``, ``torch.mm``, and the
+      - It accelerates operations like ``torch.matmul``, ``torch.mm``, and the
        matrix multiplications used in convolutional and linear layers.
    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
      - :version-ref:`hipCUB rocm_version`
      - Provides a C++ template library for parallel algorithms for reduction,
        scan, sort and select.
-      - Supports operations such as ``torch.sum``, ``torch.cumsum``,
-        ``torch.sort`` irregular shapes often involve scanning, sorting, and
-        filtering, which hipCUB handles efficiently.
+      - Supports operations like ``torch.sum``, ``torch.cumsum``, ``torch.sort``
+        and ``torch.topk``. Operations on sparse tensors or tensors with
+        irregular shapes often involve scanning, sorting, and filtering, which
+        hipCUB handles efficiently.
    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
      - :version-ref:`hipFFT rocm_version`
      - Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
@@ -298,8 +248,8 @@ feature set available to developers.
    * - `hipRAND <https://github.com/ROCm/hipRAND>`_
      - :version-ref:`hipRAND rocm_version`
      - Provides fast random number generation for GPUs.
-      - The ``torch.rand``, ``torch.randn``, and stochastic layers like
-        ``torch.nn.Dropout`` rely on hipRAND.
+      - The ``torch.rand``, ``torch.randn`` and stochastic layers like
+        ``torch.nn.Dropout``.
    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
      - :version-ref:`hipSOLVER rocm_version`
      - Provides GPU-accelerated solvers for linear systems, eigenvalues, and
@@ -370,7 +320,7 @@ feature set available to developers.
      - :version-ref:`RPP rocm_version`
      - Speeds up data augmentation, transformation, and other preprocessing steps.
      - Easy to integrate into PyTorch's ``torch.utils.data`` and
-        ``torchvision`` data load workloads to speed up data processing.
+        ``torchvision`` data load workloads.
    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
      - :version-ref:`rocThrust rocm_version`
      - Provides a C++ template library for parallel algorithms like sorting,
@@ -387,11 +337,11 @@ feature set available to developers.
        involve matrix products, such as ``torch.matmul``, ``torch.bmm``, and
        more.

-Supported features
+Supported and unsupported features
 ================================================================================

-This section maps GPU-accelerated PyTorch features to their supported ROCm and
-PyTorch versions.
+The following section maps GPU-accelerated PyTorch features to their supported
+ROCm and PyTorch versions.

 torch
 --------------------------------------------------------------------------------
@@ -399,24 +349,23 @@ torch
 `torch <https://pytorch.org/docs/stable/index.html>`_ is the central module of
 PyTorch, providing data structures for multi-dimensional tensors and
 implementing mathematical operations on them. It also includes utilities for
-efficient serialization of tensors and arbitrary data types and other tools.
+efficient serialization of tensors and arbitrary data types, along with various
+other tools.

 Tensor data types
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

-The tensor data type is specified using the ``dtype`` attribute or argument. 
-PyTorch supports many data types for different use cases.
+The data type of a tensor is specified using the ``dtype`` attribute or argument, and PyTorch supports a wide range of data types for different use cases.

-The following table lists `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_
-single data types:
+The following table lists `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_'s single data types:

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

    * - Data type
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - ``torch.float8_e4m3fn``
      - 8-bit floating point, e4m3
      - 2.3
@@ -508,11 +457,11 @@ single data types:

 .. note::

-  Unsigned types except ``uint8`` have limited support in eager mode. They
-  primarily exist to assist usage with ``torch.compile``.
+  Unsigned types aside from ``uint8`` are currently only have limited support in
+  eager mode (they primarily exist to assist usage with ``torch.compile``).

-  See :doc:`ROCm precision support <rocm:reference/precision-support>` for the
-  native hardware support of data types.
+  The :doc:`ROCm precision support page <rocm:reference/precision-support>`
+  collected the native HW support of different data types.

 torch.cuda
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -527,8 +476,8 @@ leveraging ROCm and CUDA as the underlying frameworks.

    * - Feature
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - Device management
      - Utilities for managing and interacting with GPUs.
      - 0.4.0
@@ -602,8 +551,8 @@ PyTorch interacts with the ROCm or CUDA environment.

    * - Feature
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - ``cufft_plan_cache``
      - Manages caching of GPU FFT plans to optimize repeated FFT computations.
      - 1.7.0
@@ -651,8 +600,8 @@ Supported ``torch`` options include:

    * - Option
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - ``allow_tf32``
      - TensorFloat-32 tensor cores may be used in cuDNN convolutions on NVIDIA
        Ampere or newer GPUs.
@@ -667,28 +616,28 @@ Supported ``torch`` options include:
 Automatic mixed precision: torch.amp
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

-PyTorch automates the process of using both 16-bit (half-precision, float16) and
-32-bit (single-precision, float32) floating-point types in model training and
-inference.
+PyTorch that automates the process of using both 16-bit (half-precision,
+float16) and 32-bit (single-precision, float32) floating-point types in model
+training and inference.

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

    * - Feature
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - Autocasting
-      - Autocast instances serve as context managers or decorators that allow
+      - Instances of autocast serve as context managers or decorators that allow
        regions of your script to run in mixed precision.
      - 1.9
      - 2.5
    * - Gradient scaling
      - To prevent underflow, “gradient scaling” multiplies the network’s
-        loss by a scale factor and invokes a backward pass on the scaled
-        loss. The same factor then scales gradients flowing backward through
-        the network. In other words, gradient values have a larger magnitude so
-        that they don’t flush to zero.
+        loss(es) by a scale factor and invokes a backward pass on the scaled
+        loss(es). Gradients flowing backward through the network are then
+        scaled by the same factor. In other words, gradient values have a
+        larger magnitude, so they don’t flush to zero.
      - 1.9
      - 2.5
    * - CUDA op-specific behavior
@@ -702,7 +651,7 @@ inference.
 Distributed library features
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

-PyTorch distributed library includes a collective of parallelism modules, a
+The PyTorch distributed library includes a collective of parallelism modules, a
 communications layer, and infrastructure for launching and debugging large
 training jobs. See :ref:`rocm-for-ai-pytorch-distributed` for more information.

@@ -716,13 +665,13 @@ of computational resources and scalability for large-scale tasks.

    * - Feature
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - TensorPipe
      - A point-to-point communication library integrated into
-        PyTorch for distributed training. It handles tensor data transfers
-        efficiently between different processes or devices, including those on
-        separate machines.
+        PyTorch for distributed training. It is designed to handle tensor data
+        transfers efficiently between different processes or devices, including
+        those on separate machines.
      - 1.8
      - 5.4
    * - Gloo
@@ -741,8 +690,8 @@ torch.compiler

    * - Feature
      - Description
-      - As of PyTorch
-      - As of ROCm
+      - Since PyTorch
+      - Since ROCm
    * - ``torch.compiler`` (AOT Autograd)
      - Autograd captures not only the user-level code, but also backpropagation,
        which results in capturing the backwards pass “ahead-of-time”. This
@@ -765,8 +714,8 @@ The `torchaudio <https://pytorch.org/audio/stable/index.html>`_ library provides
 utilities for processing audio data in PyTorch, such as audio loading,
 transformations, and feature extraction.

-To ensure GPU-acceleration with ``torchaudio.transforms``, you need to
-explicitly move audio data (waveform tensor) to GPU using ``.to('cuda')``.
+To ensure GPU-acceleration with ``torchaudio.transforms``, you need to move audio
+data (waveform tensor) explicitly to GPU using ``.to('cuda')``.

 The following ``torchaudio`` features are GPU-accelerated.

@@ -775,10 +724,10 @@ The following ``torchaudio`` features are GPU-accelerated.

    * - Feature
      - Description
-      - As of torchaudio version
-      - As of ROCm
+      - Since torchaudio version
+      - Since ROCm
    * - ``torchaudio.transforms.Spectrogram``
-      - Generate a spectrogram of an input waveform using STFT.
+      - Generates spectrogram of an input waveform using STFT.
      - 0.6.0
      - 4.5
    * - ``torchaudio.transforms.MelSpectrogram``
@@ -798,7 +747,7 @@ torchvision
 --------------------------------------------------------------------------------

 The `torchvision <https://pytorch.org/vision/stable/index.html>`_ library
-provides datasets, model architectures, and common image transformations for
+provide datasets, model architectures, and common image transformations for
 computer vision.

 The following ``torchvision`` features are GPU-accelerated.
@@ -808,8 +757,8 @@ The following ``torchvision`` features are GPU-accelerated.

    * - Feature
      - Description
-      - As of torchvision version
-      - As of ROCm
+      - Since torchvision version
+      - Since ROCm
    * - ``torchvision.transforms.functional``
      - Provides GPU-compatible transformations for image preprocessing like
        resize, normalize, rotate and crop.
@@ -855,7 +804,7 @@ torchtune
 The `torchtune <https://pytorch.org/torchtune/stable/index.html>`_ library for
 authoring, fine-tuning and experimenting with LLMs.

-* Usage: Enabling developers to fine-tune ROCm PyTorch solutions.
+* Usage: It works out-of-the-box, enabling developers to fine-tune ROCm PyTorch solutions.

 * Only official release exists.

@@ -866,8 +815,7 @@ The `torchserve <https://pytorch.org/serve/>`_ is a PyTorch domain library
 for common sparsity and parallelism primitives needed for large-scale recommender
 systems.

-* torchtext does not implement its own kernels. ROCm support is enabled by
-  linking against ROCm libraries.
+* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.

 * Only official release exists.

@@ -878,16 +826,14 @@ The `torchrec <https://pytorch.org/torchrec/>`_ is a PyTorch domain library for
 common sparsity and parallelism primitives needed for large-scale recommender
 systems.

-* torchrec does not implement its own kernels. ROCm support is enabled by
-  linking against ROCm libraries.
+* torchrec does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.

 * Only official release exists.

 Unsupported PyTorch features
-================================================================================
+----------------------------

-The following GPU-accelerated PyTorch features are not supported by ROCm for
-the listed supported PyTorch versions.
+The following are GPU-accelerated PyTorch features not currently supported by ROCm.

 .. list-table::
    :widths: 30, 60, 10
@@ -895,7 +841,7 @@ the listed supported PyTorch versions.

    * - Feature
      - Description
-      - As of PyTorch
+      - Since PyTorch
    * - APEX batch norm
      - Use APEX batch norm instead of PyTorch batch norm.
      - 1.6.0
@@ -951,3 +897,31 @@ the listed supported PyTorch versions.
        utilized effectively through custom CUDA extensions or advanced
        workflows.
      - Not a core feature
+
+Use cases and recommendations
+================================================================================
+
+* :doc:`Using ROCm for AI: training a model </how-to/rocm-for-ai/training/train-a-model>` provides
+  guidance on how to leverage the ROCm platform for training AI models. It covers the steps, tools, and best practices
+  for optimizing training workflows on AMD GPUs using PyTorch features.
+
+* :doc:`Single-GPU fine-tuning and inference </how-to/rocm-for-ai/fine-tuning/single-gpu-fine-tuning-and-inference>`
+  describes and demonstrates how to use the ROCm platform for the fine-tuning and inference of
+  machine learning models, particularly large language models (LLMs), on systems with a single AMD
+  Instinct MI300X accelerator. This page provides a detailed guide for setting up, optimizing, and
+  executing fine-tuning and inference workflows in such environments.
+
+* :doc:`Multi-GPU fine-tuning and inference optimization </how-to/rocm-for-ai/fine-tuning/multi-gpu-fine-tuning-and-inference>`
+  describes and demonstrates the fine-tuning and inference of machine learning models on systems
+  with multi MI300X accelerators.
+
+* The :doc:`Instinct MI300X workload optimization guide </how-to/rocm-for-ai/inference-optimization/workload>` provides detailed
+  guidance on optimizing workloads for the AMD Instinct MI300X accelerator using ROCm. This guide is aimed at helping
+  users achieve optimal performance for deep learning and other high-performance computing tasks on the MI300X
+  accelerator.
+
+* The :doc:`Inception with PyTorch documentation </conceptual/ai-pytorch-inception>`
+  describes how PyTorch integrates with ROCm for AI workloads It outlines the use of PyTorch on the ROCm platform and
+  focuses on how to efficiently leverage AMD GPU hardware for training and inference tasks in AI applications.
+
+For more use cases and recommendations, see `ROCm PyTorch blog posts <https://rocm.blogs.amd.com/blog/tag/pytorch.html>`_.
--- 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 6.4.0 <https://repo.radeon.com/rocm/apt/6.4/>`_. Click
+validated for `ROCm 6.3.3 <https://repo.radeon.com/rocm/apt/6.3.3/>`_. Click
 the |docker-icon| icon to view the image on Docker Hub.

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

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

    * - .. raw:: html

-           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.4-py3.12-tf2.18-dev/images/sha256-fa9cf5fa6c6079a7118727531ccd0056c6e3224a42c3d6e78a49e7781daafff4"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
-
+      - `rocm/tensorflow`__
      - `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

-           <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>
-
+      - `rocm/tensorflow`__
      - `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

-           <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>
-
+      - `rocm/tensorflow`__
      - `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

-           <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>
-
+      - `rocm/tensorflow`__
      - `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

-           <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>
+      - `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>`_

-      - `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
+    * - .. 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
      - `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>`_
-
+      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_

 Critical ROCm libraries for TensorFlow
 ===============================================================================
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -34,15 +34,15 @@ project = "ROCm Documentation"
 project_path = os.path.abspath(".").replace("\\", "/")
 author = "Advanced Micro Devices, Inc."
 copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
-version = "6.4.1"
-release = "6.4.1"
+version = "6.4.0"
+release = "6.4.0"
 setting_all_article_info = True
 all_article_info_os = ["linux", "windows"]
 all_article_info_author = ""

 # pages with specific settings
 article_pages = [
-    {"file": "about/release-notes", "os": ["linux"], "date": "2025-05-07"},
+    {"file": "about/release-notes", "os": ["linux"], "date": "2025-04-11"},
    {"file": "release/changelog", "os": ["linux"],},
    {"file": "compatibility/compatibility-matrix", "os": ["linux"]},
    {"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
@@ -70,7 +70,6 @@ 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
@@ -1,25 +0,0 @@
-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/data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
+++ b/docs/data/how-to/rocm-for-ai/inference/vllm-benchmark-models.yaml
@@ -1,10 +1,10 @@
 vllm_benchmark:
  unified_docker:
    latest:
-      pull_tag: rocm/vllm:rocm6.3.1_instinct_vllm0.8.3_20250415
-      docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.8.3_20250415/images/sha256-ad9062dea3483d59dedb17c67f7c49f30eebd6eb37c3fac0a171fb19696cc845
+      pull_tag: rocm/vllm:instinct_main
+      docker_hub_url: https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.7.3_20250311/images/sha256-de0a2649b735f45b7ecab8813eb7b19778ae1f40591ca1196b07bc29c42ed4a3
      rocm_version: 6.3.1
-      vllm_version: 0.8.3
+      vllm_version: 0.7.3
      pytorch_version: 2.7.0 (dev nightly)
      hipblaslt_version: 0.13
  model_groups:
@@ -102,12 +102,19 @@ vllm_benchmark:
        model_repo: Qwen/Qwen2-72B-Instruct
        url: https://huggingface.co/Qwen/Qwen2-72B-Instruct
        precision: float16
-      - model: QwQ-32B
-        mad_tag: pyt_vllm_qwq-32b
-        model_repo: Qwen/QwQ-32B
-        url: https://huggingface.co/Qwen/QwQ-32B
+    - group: JAIS
+      tag: jais
+      models:
+      - model: JAIS 13B
+        mad_tag: pyt_vllm_jais-13b
+        model_repo: core42/jais-13b-chat
+        url: https://huggingface.co/core42/jais-13b-chat
+        precision: float16
+      - model: JAIS 30B
+        mad_tag: pyt_vllm_jais-30b
+        model_repo: core42/jais-30b-chat-v3
+        url: https://huggingface.co/core42/jais-30b-chat-v3
        precision: float16
-        tunableop: true
    - group: DBRX
      tag: dbrx
      models:
@@ -150,11 +157,3 @@ vllm_benchmark:
        model_repo: deepseek-ai/deepseek-moe-16b-chat
        url: https://huggingface.co/deepseek-ai/deepseek-moe-16b-chat
        precision: float16
-    - group: TII Falcon
-      tag: falcon
-      models:
-      - model: Falcon 180B
-        mad_tag: pyt_vllm_falcon-180b
-        model_repo: tiiuae/falcon-180B
-        url: https://huggingface.co/tiiuae/falcon-180B
-        precision: float16
--- a/docs/data/rocm-software-stack-6_4_0.jpg
+++ b/docs/data/rocm-software-stack-6_4_0.jpg
--- a/docs/how-to/rocm-for-ai/inference-optimization/model-quantization.rst
+++ b/docs/how-to/rocm-for-ai/inference-optimization/model-quantization.rst
@@ -1,178 +1,15 @@
 .. meta::
   :description: How to use model quantization techniques to speed up inference.
-   :keywords: ROCm, LLM, fine-tuning, usage, tutorial, quantization, Quark, GPTQ, transformers, bitsandbytes
+   :keywords: ROCm, LLM, fine-tuning, usage, tutorial, quantization, GPTQ, transformers, bitsandbytes

 *****************************
 Model quantization techniques
 *****************************

 Quantization reduces the model size compared to its native full-precision version, making it easier to fit large models
-onto accelerators or GPUs with limited memory usage. This section explains how to perform LLM quantization using AMD Quark, GPTQ
+onto accelerators or GPUs with limited memory usage. This section explains how to perform LLM quantization using GPTQ
 and bitsandbytes on AMD Instinct hardware.

-.. _quantize-llms-quark:
-
-AMD Quark
-=========
-
-`AMD Quark <https://quark.docs.amd.com/latest/>`_ offers the leading efficient and scalable quantization solution tailored to AMD Instinct GPUs. It supports ``FP8`` and ``INT8`` quantization for activations, weights, and KV cache, 
-including ``FP8`` attention. For very large models, it employs a two-level ``INT4-FP8`` scheme—storing weights in ``INT4`` while computing with ``FP8``—for nearly 4× compression without sacrificing accuracy. 
-Quark scales efficiently across multiple GPUs, efficiently handling ultra-large models like Llama-3.1-405B. Quantized ``FP8`` models like Llama, Mixtral, and Grok-1 are available under the `AMD organization on Hugging Face <https://huggingface.co/collections/amd/quark-quantized-ocp-fp8-models-66db7936d18fcbaf95d4405c>`_, and can be deployed directly via `vLLM <https://github.com/vllm-project/vllm/tree/main/vllm>`_.
-
-Installing Quark
-------------------
-
-The latest release of Quark can be installed with pip
-
-.. code-block:: shell
-
-    pip install amd-quark
-
-For detailed installation instructions, refer to the `Quark documentation <https://quark.docs.amd.com/latest/install.html>`_.
-
-
-Using Quark for quantization
-----------------------------
-
-#. First, load the pre-trained model and its corresponding tokenizer using the Hugging Face ``transformers`` library.
-
-   .. code-block:: python
-
-      from transformers import AutoTokenizer, AutoModelForCausalLM
-
-      MODEL_ID = "meta-llama/Llama-2-70b-chat-hf"
-      MAX_SEQ_LEN = 512
-
-      model = AutoModelForCausalLM.from_pretrained(
-          MODEL_ID, device_map="auto", torch_dtype="auto",
-      )
-      model.eval()
-
-      tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, model_max_length=MAX_SEQ_LEN)
-      tokenizer.pad_token = tokenizer.eos_token
-
-#. Prepare the calibration DataLoader (static quantization requires calibration data).
-
-   .. code-block:: python
-
-      from datasets import load_dataset
-      from torch.utils.data import DataLoader
-
-      BATCH_SIZE = 1
-      NUM_CALIBRATION_DATA = 512
-
-      dataset = load_dataset("mit-han-lab/pile-val-backup", split="validation")
-      text_data = dataset["text"][:NUM_CALIBRATION_DATA]
-
-      tokenized_outputs = tokenizer(
-      text_data, return_tensors="pt", padding=True, truncation=True, max_length=MAX_SEQ_LEN
-      )
-      calib_dataloader = DataLoader(
-      tokenized_outputs['input_ids'], batch_size=BATCH_SIZE, drop_last=True
-      )
-
-#. Define the quantization configuration. See the comments in the following code snippet for descriptions of each configuration option.
-
-   .. code-block:: python
-
-      from quark.torch.quantization import (Config, QuantizationConfig,
-                                           FP8E4M3PerTensorSpec)
-
-      # Define fp8/per-tensor/static spec.
-      FP8_PER_TENSOR_SPEC = FP8E4M3PerTensorSpec(observer_method="min_max",
-          is_dynamic=False).to_quantization_spec()
-
-      # Define global quantization config, input tensors and weight apply FP8_PER_TENSOR_SPEC.
-      global_quant_config = QuantizationConfig(input_tensors=FP8_PER_TENSOR_SPEC,
-          weight=FP8_PER_TENSOR_SPEC)
-
-      # Define quantization config for kv-cache layers, output tensors apply FP8_PER_TENSOR_SPEC.
-      KV_CACHE_SPEC = FP8_PER_TENSOR_SPEC
-      kv_cache_layer_names_for_llama = ["*k_proj", "*v_proj"]
-      kv_cache_quant_config = {name :
-          QuantizationConfig(input_tensors=global_quant_config.input_tensors,
-                             weight=global_quant_config.weight,
-                             output_tensors=KV_CACHE_SPEC)
-          for name in kv_cache_layer_names_for_llama}
-      layer_quant_config = kv_cache_quant_config.copy()
-
-      EXCLUDE_LAYERS = ["lm_head"]
-      quant_config = Config(
-          global_quant_config=global_quant_config,
-          layer_quant_config=layer_quant_config,
-          kv_cache_quant_config=kv_cache_quant_config,
-          exclude=EXCLUDE_LAYERS)
-
-#. Quantize the model and export
-
-   .. code-block:: python
-
-      import torch
-      from quark.torch import ModelQuantizer, ModelExporter
-      from quark.torch.export import ExporterConfig, JsonExporterConfig
-
-      # Apply quantization.
-      quantizer = ModelQuantizer(quant_config)
-      quant_model = quantizer.quantize_model(model, calib_dataloader)
-
-      # Freeze quantized model to export.
-      freezed_model = quantizer.freeze(model)
-
-      # Define export config.
-      LLAMA_KV_CACHE_GROUP = ["*k_proj", "*v_proj"]
-      export_config = ExporterConfig(json_export_config=JsonExporterConfig())
-      export_config.json_export_config.kv_cache_group = LLAMA_KV_CACHE_GROUP
-
-      EXPORT_DIR = MODEL_ID.split("/")[1] + "-w-fp8-a-fp8-kvcache-fp8-pertensor"
-      exporter = ModelExporter(config=export_config, export_dir=EXPORT_DIR)
-      with torch.no_grad():
-          exporter.export_safetensors_model(freezed_model,
-              quant_config=quant_config, tokenizer=tokenizer)
-
-Evaluating the quantized model with vLLM
----------------------------------------
-
-The exported Quark-quantized model can be loaded directly by vLLM for inference. You need to specify the model path and inform vLLM about the quantization method (``quantization='quark'``) and the KV cache data type (``kv_cache_dtype='fp8'``).
-Use the ``LLM`` interface to load the model:
-
-.. code-block:: python
-
-   from vllm import LLM, SamplingParamsinterface
-
-   # Sample prompts.
-   prompts = [
-       "Hello, my name is",
-       "The president of the United States is",
-       "The capital of France is",
-       "The future of AI is",
-   ]
-   # Create a sampling params object.
-   sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
-
-   # Create an LLM.
-   llm = LLM(model="Llama-2-70b-chat-hf-w-fp8-a-fp8-kvcache-fp8-pertensor",
-             kv_cache_dtype='fp8',quantization='quark')
-   # Generate texts from the prompts. The output is a list of RequestOutput objects
-   # that contain the prompt, generated text, and other information.
-   outputs = llm.generate(prompts, sampling_params)
-   # Print the outputs.
-   print("\nGenerated Outputs:\n" + "-" * 60)
-   for output in outputs:
-       prompt = output.prompt
-       generated_text = output.outputs[0].text
-       print(f"Prompt:    {prompt!r}")
-       print(f"Output:    {generated_text!r}")
-       print("-" * 60)
-
-You can also evaluate the quantized model's accuracy on standard benchmarks using the `lm-evaluation-harness <https://github.com/EleutherAI/lm-evaluation-harness>`_. Pass the necessary vLLM arguments to ``lm_eval`` via ``--model_args``.
-
-.. code-block:: shell
-
-   lm_eval --model vllm \
-     --model_args pretrained=Llama-2-70b-chat-hf-w-fp8-a-fp8-kvcache-fp8-pertensor,kv_cache_dtype='fp8',quantization='quark' \
-     --tasks gsm8k
-
-This provides a standardized way to measure the performance impact of quantization.
 .. _fine-tune-llms-gptq:

 GPTQ
@@ -196,7 +33,7 @@ The AutoGPTQ library implements the GPTQ algorithm.
   .. code-block:: shell

      # This will install pre-built wheel for a specific ROCm version.
-
+      
      pip install auto-gptq --no-build-isolation --extra-index-url https://huggingface.github.io/autogptq-index/whl/rocm573/

   Or, install AutoGPTQ from source for the appropriate ROCm version (for example, ROCm 6.1).
@@ -206,10 +43,10 @@ The AutoGPTQ library implements the GPTQ algorithm.
      # Clone the source code.
      git clone https://github.com/AutoGPTQ/AutoGPTQ.git
      cd AutoGPTQ
-
+      
      # Speed up the compilation by specifying PYTORCH_ROCM_ARCH to target device.
      PYTORCH_ROCM_ARCH=gfx942 ROCM_VERSION=6.1 pip install .
-
+      
      # Show the package after the installation 

 #. Run ``pip show auto-gptq`` to print information for the installed ``auto-gptq`` package. Its output should look like
@@ -275,7 +112,7 @@ Using GPTQ with Hugging Face Transformers
   .. code-block:: python

      from transformers import AutoModelForCausalLM, AutoTokenizer, GPTQConfig
-
+      
      base_model_name = " NousResearch/Llama-2-7b-hf"
      tokenizer = AutoTokenizer.from_pretrained(base_model_name)
      gptq_config = GPTQConfig(bits=4, dataset="c4", tokenizer=tokenizer)
@@ -375,10 +212,10 @@ To get started with bitsandbytes primitives, use the following code as reference
 .. code-block:: python

   import bitsandbytes as bnb
-
+   
   # Use Int8 Matrix Multiplication
   bnb.matmul(..., threshold=6.0)
-
+   
   # Use bitsandbytes 8-bit Optimizers
   adam = bnb.optim.Adam8bit(model.parameters(), lr=0.001, betas=(0.9, 0.995))

@@ -390,14 +227,14 @@ To load a Transformers model in 4-bit, set ``load_in_4bit=true`` in ``BitsAndByt
 .. code-block:: python

   from transformers import AutoModelForCausalLM, BitsAndBytesConfig
-
+   
   base_model_name = "NousResearch/Llama-2-7b-hf"
   quantization_config = BitsAndBytesConfig(load_in_4bit=True)
   bnb_model_4bit = AutoModelForCausalLM.from_pretrained(
           base_model_name, 
           device_map="auto", 
           quantization_config=quantization_config)
-
+   
   # Check the memory footprint with get_memory_footprint method
   print(bnb_model_4bit.get_memory_footprint())

@@ -406,9 +243,9 @@ To load a model in 8-bit for inference, use the ``load_in_8bit`` option.
 .. code-block:: python

   from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
-
+   
   base_model_name = "NousResearch/Llama-2-7b-hf"
-
+   
   tokenizer = AutoTokenizer.from_pretrained(base_model_name)
   quantization_config = BitsAndBytesConfig(load_in_8bit=True)
   tokenizer = AutoTokenizer.from_pretrained(base_model_name)
@@ -416,7 +253,7 @@ To load a model in 8-bit for inference, use the ``load_in_8bit`` option.
           base_model_name, 
           device_map="auto", 
           quantization_config=quantization_config)
-
+   
   prompt = "What is a large language model?"
   inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
   generated_ids = model.generate(**inputs)
--- a/docs/how-to/rocm-for-ai/inference/deploy-your-model.rst
+++ b/docs/how-to/rocm-for-ai/inference/deploy-your-model.rst
@@ -16,7 +16,8 @@ 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. AMD is actively working with the vLLM team to improve performance and support the latest ROCm versions.
+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.

 See the `GitHub repository <https://github.com/vllm-project/vllm>`_ and `official vLLM documentation
 <https://docs.vllm.ai/>`_ for more information.
@@ -30,9 +31,9 @@ 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/installation/gpu.html?device=rocm#build-image-from-source>`_ (recommended)
+   <https://docs.vllm.ai/en/latest/getting_started/amd-installation.html#build-from-source-docker-rocm>`_ (recommended)

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

 vLLM walkthrough
 ----------------
--- a/docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
+++ b/docs/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
@@ -1,167 +0,0 @@
-.. 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
-
-         .. note::
-
-            The Chai-1 benchmark uses a specifically selected Docker image using ROCm 6.2.3 and PyTorch 2.3.0 to address an accuracy 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

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

 .. _vllm-benchmark-unified-docker:

@@ -16,7 +16,7 @@ vLLM inference performance testing

   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 accelerators. This ROCm vLLM
+   inference performance on AMD Instinct™ MI300X series accelerator. This ROCm vLLM
   Docker image integrates vLLM and PyTorch tailored specifically for MI300X series
   accelerators and includes the following components:

@@ -34,7 +34,7 @@ vLLM inference performance testing

   .. _vllm-benchmark-available-models:

-   Supported models
+   Available models
   ================

   .. raw:: html
@@ -183,25 +183,6 @@ vLLM inference performance testing
            to collect latency and throughput performance data, you can also change the benchmarking
            parameters. See the standalone benchmarking tab for more information.

-            {% if model.tunableop %}
-
-            .. note::
-
-               For improved performance, consider enabling :ref:`PyTorch TunableOp <mi300x-tunableop>`.
-               TunableOp automatically explores different implementations and configurations of certain PyTorch
-               operators to find the fastest one for your hardware.
-
-               By default, ``{{model.mad_tag}}`` runs with TunableOp disabled
-               (see
-               `<https://github.com/ROCm/MAD/blob/develop/models.json>`__). To
-               enable it, edit the default run behavior in the ``models.json``
-               configuration before running inference -- 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.
-
-            {% endif %}
-
         .. tab-item:: Standalone benchmarking

            Run the vLLM benchmark tool independently by starting the
@@ -350,18 +331,11 @@ for benchmarking, see the version-specific documentation.
     - PyTorch version
     - Resources

-   * - 6.3.1
-     - 0.7.3
-     - 2.7.0
-     - 
-       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.3/how-to/rocm-for-ai/inference/vllm-benchmark.html>`_
-       * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_instinct_vllm0.7.3_20250325/images/sha256-25245924f61750b19be6dcd8e787e46088a496c1fe17ee9b9e397f3d84d35640>`_
-
   * - 6.3.1
     - 0.6.6
     - 2.7.0
     - 
-       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.2/how-to/rocm-for-ai/inference/vllm-benchmark.html>`_
+       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.2/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.html>`_
       * `Docker Hub <https://hub.docker.com/layers/rocm/vllm/rocm6.3.1_mi300_ubuntu22.04_py3.12_vllm_0.6.6/images/sha256-9a12ef62bbbeb5a4c30a01f702c8e025061f575aa129f291a49fbd02d6b4d6c9>`_

   * - 6.2.1
--- a/docs/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.rst
+++ b/docs/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.rst
@@ -12,7 +12,7 @@ ROCm is an optimized fork of the upstream
 `<https://github.com/AI-Hypercomputer/maxtext>`__ enabling efficient AI workloads
 on AMD MI300X series accelerators.

-The MaxText for ROCm training Docker (``rocm/jax-training:maxtext-v25.5``) image
+The MaxText for ROCm training Docker (``rocm/jax-training:maxtext-v25.4``) image
 provides a prebuilt environment for training on AMD Instinct MI300X and MI325X accelerators,
 including essential components like JAX, XLA, ROCm libraries, and MaxText utilities.
 It includes the following software components:
@@ -20,15 +20,15 @@ It includes the following software components:
 +--------------------------+--------------------------------+
 | Software component       | Version                        |
 +==========================+================================+
-| ROCm                     | 6.3.4                          |
+| ROCm                     | 6.3.0                          |
 +--------------------------+--------------------------------+
-| JAX                      | 0.4.35                         |
+| JAX                      | 0.4.31                         |
 +--------------------------+--------------------------------+
-| Python                   | 3.10.12                        |
+| Python                   | 3.10                           |
 +--------------------------+--------------------------------+
-| Transformer Engine       | 1.12.0.dev0+b8b92dc            |
+| Transformer Engine       | 1.12.0.dev0+f81a3eb            |
 +--------------------------+--------------------------------+
-| hipBLASLt                | 0.13.0-ae9c477a                |
+| hipBLASLt                | git78ec8622                    |
 +--------------------------+--------------------------------+

 Supported features and models
@@ -48,8 +48,6 @@ MaxText provides the following key features to train large language models effic

 The following models are pre-optimized for performance on AMD Instinct MI300X series accelerators.

-* Llama 3.3 70B
-
 * Llama 3.1 8B

 * Llama 3.1 70B
@@ -117,7 +115,7 @@ with RDMA, skip ahead to :ref:`amd-maxtext-download-docker`.

   a. Master address

-      Change ``localhost`` to the master node's resolvable hostname or IP address:
+      Change `localhost` to the master node's resolvable hostname or IP address:

      .. code-block:: bash

@@ -182,15 +180,13 @@ Download the Docker image

   .. code-block:: shell

-      docker pull rocm/jax-training:maxtext-v25.5
+      docker pull rocm/jax-training:maxtext-v25.4

-2. Use the following command to launch the Docker container. Note that the benchmarking scripts
-   used in the :ref:`following section <amd-maxtext-get-started>` automatically launch the Docker container
-   and execute the benchmark.
+2. Run the Docker container.

   .. 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/.ssh:/root/.ssh --shm-size 128G --name maxtext_training rocm/jax-training:maxtext-v25.5
+      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/.ssh:/root/.ssh --shm-size 128G --name maxtext_training rocm/jax-training:maxtext-v25.4

 .. _amd-maxtext-get-started:

@@ -223,9 +219,7 @@ Single node training benchmarking examples

  Run the single node training benchmark:

-  .. code-block:: shell
-
-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./llama2_7b.sh
+  IMAGE="rocm/jax-training:maxtext-v25.4" bash ./llama2_7b.sh

 * Example 2: Single node training with Llama 2 70B

@@ -239,7 +233,7 @@ Single node training benchmarking examples

  .. code-block:: shell

-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./llama2_70b.sh
+     IMAGE="rocm/jax-training:maxtext-v25.4" bash ./llama2_70b.sh

 * Example 3: Single node training with Llama 3 8B

@@ -253,7 +247,7 @@ Single node training benchmarking examples

  .. code-block:: shell

-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./llama3_8b.sh
+     IMAGE="rocm/jax-training:maxtext-v25.4" bash ./llama3_8b.sh

 * Example 4: Single node training with Llama 3 70B

@@ -267,23 +261,9 @@ Single node training benchmarking examples

  .. code-block:: shell

-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./llama3_70b.sh
+     IMAGE="rocm/jax-training:maxtext-v25.4" bash ./llama3_70b.sh

-* Example 5: Single node training with Llama 3.3 70B
-
-  Download the benchmarking script:
-
-  .. code-block:: shell
-
-     wget https://raw.githubusercontent.com/ROCm/maxtext/refs/heads/main/benchmarks/gpu-rocm/llama3.3_70b.sh
-
-  Run the single node training benchmark:
-
-  .. code-block:: shell
-
-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./llama3.3_70b.sh
-
-* Example 6: Single node training with DeepSeek V2 16B
+* Example 5: Single node training with DeepSeek V2 16B

  Download the benchmarking script:

@@ -295,7 +275,7 @@ Single node training benchmarking examples

  .. code-block:: shell

-     IMAGE="rocm/jax-training:maxtext-v25.5" bash ./deepseek_v2_16b.sh
+     IMAGE="rocm/jax-training:maxtext-v25.4" bash ./deepseek_v2_16b.sh

  .. note::

@@ -363,26 +343,3 @@ own cluster setup.
  .. code-block:: shell

     sbatch -N <num_nodes> llama3_70b_multinode.sh
-
-Previous versions
-=================
-
-This table lists previous versions of the ROCm JAX MaxText Docker image for training
-performance testing. For detailed information about available models for
-benchmarking, see the version-specific documentation.
-
-.. list-table::
-   :header-rows: 1
-   :stub-columns: 1
-
-   * - Image version
-     - ROCm version
-     - JAX version
-     - Resources
-
-   * - 25.4
-     - 6.3.0
-     - 0.4.31
-     - 
-       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.3/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.html>`_
-       * `Docker Hub <https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.4/images/sha256-fb3eb71cd74298a7b3044b7130cf84113f14d518ff05a2cd625c11ea5f6a7b01>`_
--- 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
@@ -443,7 +443,7 @@ benchmarking, see the version-specific documentation.
     - 6.3.0
     - 2.7.0a0+git637433
     - 
-       * `Documentation <https://rocm.docs.amd.com/en/docs-6.3.3/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.html>`_
+       * `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
--- a/docs/reference/api-libraries.md
+++ b/docs/reference/api-libraries.md
@@ -45,7 +45,6 @@
 (communication-libraries)=

 * {doc}`RCCL <rccl:index>`
-* [rocSHMEM](https://github.com/ROCm/rocSHMEM)
 :::

 :::{grid-item-card} Math
--- a/docs/sphinx/_toc.yml.in
+++ b/docs/sphinx/_toc.yml.in
@@ -12,14 +12,14 @@ subtrees:
  - file: compatibility/compatibility-matrix.rst
    title: Compatibility matrix
    entries:
-    - url: https://rocm.docs.amd.com/projects/install-on-linux-internal/en/latest/reference/system-requirements.html
+    - url: https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html
      title: Linux system requirements
    - url: https://rocm.docs.amd.com/projects/install-on-windows/en/${branch}/reference/system-requirements.html
      title: Windows system requirements

 - caption: Install
  entries:
-  - url: https://rocm.docs.amd.com/projects/install-on-linux-internal/en/latest/
+  - url: https://rocm.docs.amd.com/projects/install-on-linux/en/latest/
    title: ROCm on Linux
  - url: https://rocm.docs.amd.com/projects/install-on-windows/en/${branch}/
    title: HIP SDK on Windows
@@ -75,9 +75,7 @@ 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: vLLM inference performance testing
-          - file: how-to/rocm-for-ai/inference/pytorch-inference-benchmark.rst
-            title: PyTorch inference performance testing
+            title: Performance testing
          - file: how-to/rocm-for-ai/inference/deploy-your-model.rst
            title: Deploy your model

--- a/docs/what-is-rocm.rst
+++ b/docs/what-is-rocm.rst
@@ -10,7 +10,7 @@ ROCm is a software stack, composed primarily of open-source software, that
 provides the tools for programming AMD Graphics Processing Units (GPUs), from
 low-level kernels to high-level end-user applications.

-.. image:: data/rocm-software-stack-6_4_0.jpg
+.. image:: data/rocm-software-stack-6_3_2.jpg
  :width: 800
  :alt: AMD's ROCm software stack and enabling technologies.
  :align: center
@@ -52,7 +52,6 @@ Communication
  :header: "Component", "Description"

  ":doc:`RCCL <rccl:index>`", "Standalone library that provides multi-GPU and multi-node collective communication primitives"
-  "`rocSHMEM <https://github.com/ROCm/rocSHMEM>`_", "Runtime that provides GPU-centric networking through an OpenSHMEM-like interface. This intra-kernel networking library simplifies application code complexity and enables more fine-grained communication/computation overlap than traditional host-driven networking."

 Math
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
--- a/libs/AMDMIGraphX
+++ b/libs/AMDMIGraphX
--- a/libs/HIP
+++ b/libs/HIP
--- a/libs/HIPIFY
+++ b/libs/HIPIFY
--- a/libs/MIOpen
+++ b/libs/MIOpen
--- a/libs/MIVisionX
+++ b/libs/MIVisionX
--- a/libs/ROCK-Kernel-Driver
+++ b/libs/ROCK-Kernel-Driver
--- a/libs/ROCR-Runtime
+++ b/libs/ROCR-Runtime
--- a/libs/ROCdbgapi
+++ b/libs/ROCdbgapi
--- a/libs/ROCgdb
+++ b/libs/ROCgdb
--- a/libs/ROCmValidationSuite
+++ b/libs/ROCmValidationSuite
--- a/libs/Tensile
+++ b/libs/Tensile
--- a/libs/TransferBench
+++ b/libs/TransferBench
--- a/libs/amdsmi
+++ b/libs/amdsmi
--- a/libs/clr
+++ b/libs/clr
--- a/libs/composable_kernel
+++ b/libs/composable_kernel
--- a/libs/half
+++ b/libs/half
--- a/libs/hip-tests
+++ b/libs/hip-tests
--- a/libs/hipBLAS
+++ b/libs/hipBLAS
--- a/libs/hipBLAS-common
+++ b/libs/hipBLAS-common
--- a/libs/hipBLASLt
+++ b/libs/hipBLASLt
--- a/libs/hipCUB
+++ b/libs/hipCUB
--- a/libs/hipFFT
+++ b/libs/hipFFT
--- a/libs/hipRAND
+++ b/libs/hipRAND
--- a/libs/hipSOLVER
+++ b/libs/hipSOLVER
--- a/libs/hipSPARSE
+++ b/libs/hipSPARSE
--- a/libs/hipSPARSELt
+++ b/libs/hipSPARSELt
--- a/libs/hipTensor
+++ b/libs/hipTensor
--- a/libs/hipfort
+++ b/libs/hipfort
--- a/libs/hipother
+++ b/libs/hipother
--- a/libs/llvm-project
+++ b/libs/llvm-project
--- a/libs/openmp-extras/aomp
+++ b/libs/openmp-extras/aomp
--- a/libs/openmp-extras/aomp-extras
+++ b/libs/openmp-extras/aomp-extras
--- a/libs/openmp-extras/flang
+++ b/libs/openmp-extras/flang
--- a/libs/rccl
+++ b/libs/rccl
--- a/libs/rdc
+++ b/libs/rdc
--- a/libs/rocAL
+++ b/libs/rocAL
--- a/libs/rocALUTION
+++ b/libs/rocALUTION
--- a/libs/rocBLAS
+++ b/libs/rocBLAS
--- a/libs/rocDecode
+++ b/libs/rocDecode
--- a/libs/rocFFT
+++ b/libs/rocFFT
--- a/libs/rocJPEG
+++ b/libs/rocJPEG
--- a/libs/rocPRIM
+++ b/libs/rocPRIM
--- a/libs/rocPyDecode
+++ b/libs/rocPyDecode
--- a/libs/rocRAND
+++ b/libs/rocRAND
--- a/libs/rocSHMEM
+++ b/libs/rocSHMEM
--- a/libs/rocSOLVER
+++ b/libs/rocSOLVER
--- a/libs/rocSPARSE
+++ b/libs/rocSPARSE
--- a/libs/rocThrust
+++ b/libs/rocThrust
--- a/libs/rocWMMA
+++ b/libs/rocWMMA
--- a/libs/rocm-cmake
+++ b/libs/rocm-cmake
--- a/libs/rocm-core
+++ b/libs/rocm-core
--- a/libs/rocm-examples
+++ b/libs/rocm-examples
--- a/libs/rocm_bandwidth_test
+++ b/libs/rocm_bandwidth_test
--- a/libs/rocm_smi_lib
+++ b/libs/rocm_smi_lib
--- a/libs/rocminfo
+++ b/libs/rocminfo
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
David Galiffi	6187669862	Remove old script Signed-off-by: David Galiffi <David.Galiffi@amd.com>	2025-04-16 14:58:20 -04:00
David Galiffi	650b78c417	Create submodules to the ROCm 6.4.0 components Signed-off-by: David Galiffi <David.Galiffi@amd.com>	2025-04-16 14:56:58 -04:00
David Galiffi	598c7cd1c8	Add script to set up git submodules from a manifest file	2025-04-16 13:41:06 -04:00
David Galiffi	4e94ac6399	Create submodules to the ROCm 6.3.0 components Signed-off-by: David Galiffi <David.Galiffi@amd.com>	2025-04-16 13:41:06 -04:00
David Galiffi	64565b791f	Remove old compiler projects	2025-04-16 13:41:06 -04:00
David Galiffi	79ec8fb9fd	Create submodules to the ROCm 6.2.0 components. - Synced to rocm-6.2.0 - Saved to the ./libs folder - Add a script to help update submodules when the next version of ROCm is released. Saved in ./tools/submodules - Update README to remove `repo` instructions and add `git submodule` instructions. Signed-off-by: David Galiffi <David.Galiffi@amd.com>	2025-04-16 13:41:06 -04:00