Docs: Add local spellcheck file for spellcheck workflow

* Change AMDMIGraphX to use local-artifact-download for half 5.6

* Refactor dependencies-rocm & artifact-download, consolidate component variable lists

* Add mainline option to nightly

* Change all components to new dependencies-rocm usage

* rm aqlprofile checkoutRef

* simplify dependencies-rocm, add gpuTarget back to rocMLIR

* rm tag-builds from aqlprofile

* Make review changes

.azuredevops/README.md

@@ -26,5 +26,3 @@ ROCm-CI Azure DevOps Pipelines contains markup language files that orchestrate b
 ## Disclaimer
 
 The information presented in this document is for informational purposes only and may contain technical inaccuracies, omissions, and typographical errors. The information contained herein is subject to change and may be rendered inaccurate for many reasons, including but not limited to product and roadmap changes, component and motherboard versionchanges, new model and/or product releases, product differences between differing manufacturers, software changes, BIOS flashes, firmware upgrades, or the like. Any computer system has risks of security vulnerabilities that cannot be completely prevented or mitigated.AMD assumes no obligation to update or otherwise correct or revise this information. However, AMD reserves the right to revise this information and to make changes from time to time to the content hereof without obligation of AMD to notify any person of such revisions or changes.THIS INFORMATION IS PROVIDED ‘AS IS.” AMD MAKES NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE CONTENTS HEREOF AND ASSUMES NO RESPONSIBILITY FOR ANY INACCURACIES, ERRORS, OR OMISSIONS THAT MAY APPEAR IN THIS INFORMATION. AMD SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR ANY PARTICULAR PURPOSE. IN NO EVENT WILL AMD BE LIABLE TO ANY PERSON FOR ANY RELIANCE, DIRECT, INDIRECT, SPECIAL, OR OTHER CONSEQUENTIAL DAMAGES ARISING FROM THE USE OF ANY INFORMATION CONTAINED HEREIN, EVEN IF AMD IS EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. AMD, the AMD Arrow logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.
-
-© 2024 Advanced Micro Devices, Inc. All Rights Reserved.

.azuredevops/components/AMDMIGraphX.yml

@@ -94,23 +94,16 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
 # half version should be fixed to 5.6.0
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+    parameters:
+      buildType: specific
+      definitionId: ${{ variables.HALF560_PIPELINE_ID }}
+      buildId: ${{ variables.HALF560_BUILD_ID }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
-      dependencySource: fixed
-      fixedComponentName: half
-      fixedPipelineIdentifier: ${{ variables.HALF560_PIPELINE_ID }}
-      skipLibraryLinking: true
-      skipLlvmSymlink: true
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -155,29 +148,17 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # half version should be fixed to 5.6.0
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+    parameters:
+      buildType: specific
+      definitionId: ${{ variables.HALF560_PIPELINE_ID }}
+      buildId: ${{ variables.HALF560_BUILD_ID }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
-      dependencySource: fixed
-      fixedComponentName: half
-      fixedPipelineIdentifier: ${{ variables.HALF560_PIPELINE_ID }}
-      skipLibraryLinking: true
-      skipLlvmSymlink: true
-  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: CMake@1
     displayName: MIGraphXTest CMake Flags
     inputs:

.azuredevops/components/HIP.yml

@@ -62,13 +62,8 @@ jobs:
       checkoutRepo: hipother_repo
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependenciesAMD }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # compile clr
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
@@ -118,13 +113,8 @@ jobs:
       checkoutRepo: hipother_repo
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependenciesNvidia }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - script: 'ls -1R $(Agent.BuildDirectory)/rocm'
     displayName: 'Artifact listing'
 # compile clr

.azuredevops/components/MIOpen.yml

@@ -81,14 +81,9 @@ jobs:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Build and install other dependencies
     inputs:
@@ -120,7 +115,7 @@ jobs:
       gpuTarget: $(JOB_GPU_TARGET)
 
 - job: MIOpen_testing
-  timeoutInMinutes: 90
+  timeoutInMinutes: 180
   dependsOn: MIOpen
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:
@@ -144,22 +139,14 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/miopen-get-ck-build.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Build and install other dependencies
     inputs:

.azuredevops/components/MIVisionX.yml

@@ -88,14 +88,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -133,19 +128,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   # anything in /opt may be persistent across runs
   # so we need to remove the symlink if it already exists
   - script: |

.azuredevops/components/ROCR-Runtime.yml

@@ -43,13 +43,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -88,19 +83,11 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}

.azuredevops/components/ROCdbgapi.yml

@@ -37,13 +37,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-

.azuredevops/components/ROCgdb.yml

@@ -55,20 +55,10 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-autotools.yml
     parameters:
       configureFlags: >-

.azuredevops/components/ROCmValidationSuite.yml

@@ -10,6 +10,7 @@ parameters:
   default:
     - cmake
     - ninja-build
+    - libdrm-dev
     - libyaml-cpp-dev
     - libpci-dev
     - libpci3
@@ -76,14 +77,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -122,19 +118,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/Tensile.yml

@@ -50,13 +50,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
   - task: Bash@3
     displayName: Create wheel file
@@ -108,19 +103,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: pip install
     inputs:

.azuredevops/components/TransferBench.yml

@@ -0,0 +1,114 @@
+parameters:
+- name: checkoutRepo
+  type: string
+  default: 'self'
+- name: checkoutRef
+  type: string
+  default: ''
+- name: aptPackages
+  type: object
+  default:
+    - cmake
+    - libnuma-dev
+    - ninja-build
+    - python3-pip
+- name: rocmDependencies
+  type: object
+  default:
+    - clr
+    - llvm-project
+    - rocm-cmake
+    - rocminfo
+    - ROCR-Runtime
+- name: rocmTestDependencies
+  type: object
+  default:
+    - clr
+    - llvm-project
+    - rocm-cmake
+    - rocminfo
+    - rocprofiler-register
+    - ROCR-Runtime
+
+jobs:
+- job: TransferBench
+  variables:
+  - group: common
+  - template: /.azuredevops/variables-global.yml
+  pool: 
+    vmImage: ${{ variables.BASE_BUILD_POOL }}
+  workspace:
+    clean: all
+  strategy:
+    matrix:
+      gfx942:
+        JOB_GPU_TARGET: gfx942
+  steps:
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+    parameters:
+      aptPackages: ${{ parameters.aptPackages }}
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+    parameters:
+      checkoutRepo: ${{ parameters.checkoutRepo }}
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
+      dependencyList: ${{ parameters.rocmDependencies }}
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+    parameters:
+      extraBuildFlags: >-
+        -DCMAKE_CXX_COMPILER=$(Agent.BuildDirectory)/rocm/bin/hipcc
+        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
+        -DROCM_PATH=$(Agent.BuildDirectory)/rocm
+        -GNinja
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
+    parameters:
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
+    parameters:
+      gpuTarget: $(JOB_GPU_TARGET)
+
+- job: TransferBench_testing
+  dependsOn: TransferBench
+  condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
+  variables:
+  - group: common
+  - template: /.azuredevops/variables-global.yml
+  pool: $(JOB_TEST_POOL)
+  workspace:
+    clean: all
+  strategy:
+    matrix:
+      gfx942:
+        JOB_GPU_TARGET: gfx942
+        JOB_TEST_POOL: ${{ variables.GFX942_TEST_POOL }}
+  steps:
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+    parameters:
+      aptPackages: ${{ parameters.aptPackages }}
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
+    parameters:
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
+      dependencyList: ${{ parameters.rocmTestDependencies }}
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+    parameters:
+      componentName: TransferBench All-to-all
+      testDir: '$(Agent.BuildDirectory)'
+      testExecutable: './rocm/bin/TransferBench'
+      testParameters: 'a2a'
+      testPublishResults: false
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+    parameters:
+      componentName: TransferBench Peer-to-peer
+      testDir: '$(Agent.BuildDirectory)'
+      testExecutable: './rocm/bin/TransferBench'
+      testParameters: 'p2p'
+      testPublishResults: false

.azuredevops/components/aomp-extras.yml

@@ -37,13 +37,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       componentName: aomp-extras

.azuredevops/components/aomp.yml

@@ -97,13 +97,8 @@ jobs:
       checkoutRepo: llvm-project_repo
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # Because clang is not being rebuilt and to separate downloaded ROCm
 # dependencies from the new artifacts, we use temporary symbolic links
 # for the compilation and installation to go through.
@@ -464,11 +459,8 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: ROCm symbolic link
     inputs:

.azuredevops/components/composable_kernel.yml

@@ -58,14 +58,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - script: |
       mkdir -p $(CCACHE_DIR)
       echo "##vso[task.prependpath]/usr/lib/ccache"
@@ -101,6 +96,7 @@ jobs:
       gpuTarget: $(JOB_GPU_TARGET)
 
 - job: composable_kernel_testing
+  timeoutInMinutes: 90
   dependsOn: composable_kernel
   condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
   variables:
@@ -125,19 +121,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - task: Bash@3
     displayName: Iterate through test scripts

.azuredevops/components/half.yml

@@ -39,13 +39,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-

.azuredevops/components/hip-tests.yml

@@ -62,13 +62,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   # compile hip-tests
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
@@ -113,19 +108,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Symlink rocm_agent_enumerator
     inputs:

.azuredevops/components/hipBLAS-common.yml

@@ -41,18 +41,10 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
-# CI case: download latest default branch build
-  - ${{ if eq(parameters.checkoutRef, '') }}:
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-      parameters:
-        dependencyList: ${{ parameters.rocmDependencies }}
-        dependencySource: staging
-# manual build case: triggered by ROCm/ROCm repo
-  - ${{ if ne(parameters.checkoutRef, '') }}:
-    - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
-      parameters:
-        dependencyList: ${{ parameters.rocmDependencies }}
-        dependencySource: tag-builds
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
+      dependencyList: ${{ parameters.rocmDependencies }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-

.azuredevops/components/hipBLAS.yml

@@ -75,14 +75,9 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aocl.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -126,19 +121,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipBLASLt.yml

@@ -22,7 +22,8 @@ parameters:
   type: object
   default:
     - joblib
-    - packaging
+    - packaging>=22.0
+    - --upgrade
 - name: rocmDependencies
   type: object
   default:
@@ -87,14 +88,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - script: sudo ln -s $(Agent.BuildDirectory)/rocm /opt/rocm
     displayName: ROCm symbolic link
 # Build and install gtest, lapack, hipBLAS-common
@@ -137,7 +133,6 @@ jobs:
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DTensile_LOGIC=
         -DTensile_CPU_THREADS=
-        -DTensile_CODE_OBJECT_VERSION=default
         -DTensile_LIBRARY_FORMAT=msgpack
         -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
         -DBUILD_CLIENTS_TESTS=ON
@@ -174,19 +169,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipCUB.yml

@@ -53,14 +53,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -100,19 +95,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipFFT.yml

@@ -65,14 +65,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -118,19 +113,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipRAND.yml

@@ -55,14 +55,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -104,19 +99,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipSOLVER.yml

@@ -67,14 +67,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # build external gtest and lapack
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
@@ -125,19 +120,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipSPARSE.yml

@@ -62,14 +62,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -120,19 +115,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipSPARSELt.yml

@@ -31,6 +31,7 @@ parameters:
     - rocminfo
     - rocprofiler-register
     - ROCR-Runtime
+    - roctracer
 - name: rocmTestDependencies
   type: object
   default:
@@ -43,6 +44,7 @@ parameters:
     - rocminfo
     - rocprofiler-register
     - ROCR-Runtime
+    - roctracer
 
 jobs:
 - job: hipSPARSELt
@@ -78,14 +80,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # Build and install gtest and lapack
 # $(Pipeline.Workspace)/deps is a temporary folder for the build process
 # $(Pipeline.Workspace)/s/deps is part of the hipSPARSELt repo
@@ -111,7 +108,6 @@ jobs:
         -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
         -DTensile_LOGIC=
         -DTensile_CPU_THREADS=
-        -DTensile_CODE_OBJECT_VERSION=default
         -DTensile_LIBRARY_FORMAT=msgpack
         -DCMAKE_PREFIX_PATH="$(Agent.BuildDirectory)/rocm"
         -DROCM_PATH=$(Agent.BuildDirectory)/rocm
@@ -148,12 +144,9 @@ jobs:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipTensor.yml

@@ -52,14 +52,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -101,19 +96,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/hipfort.yml

@@ -62,14 +62,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -116,19 +111,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}

.azuredevops/components/llvm-project.yml

@@ -42,14 +42,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       skipLlvmSymlink: true
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       componentName: rocm-llvm

.azuredevops/components/omnitrace.yml

@@ -75,14 +75,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: ROCm symbolic link
     inputs:

.azuredevops/components/rccl.yml

@@ -8,15 +8,16 @@ parameters:
 - name: aptPackages
   type: object
   default:
-    - python3-pip
     - cmake
-    - libboost-program-options-dev
-    - googletest
-    - libfftw3-dev
     - git
-    - ninja-build
-    - libstdc++-12-dev
+    - googletest
+    - libboost-program-options-dev
+    - libdrm-dev
+    - libfftw3-dev
     - libnuma-dev
+    - libstdc++-12-dev
+    - ninja-build
+    - python3-pip
 - name: rocmDependencies
   type: object
   default:
@@ -72,14 +73,9 @@ jobs:
       submoduleBehaviour: recursive
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - script: chmod +x $(Agent.BuildDirectory)/rocm/bin/hipify-perl
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
@@ -124,19 +120,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rdc.yml

@@ -37,6 +37,7 @@ parameters:
     - ROCmValidationSuite
     - rocprofiler
     - rocprofiler-register
+    - rocprofiler-sdk
     - ROCR-Runtime
 - name: rocmTestDependencies
   type: object
@@ -74,14 +75,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
 # Build grpc
   - task: Bash@3
     displayName: 'git clone grpc'
@@ -140,19 +136,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Setup test environment
     inputs:

.azuredevops/components/rocAL.yml

@@ -21,6 +21,8 @@ parameters:
     - libavcodec-dev
     - libavformat-dev
     - libavutil-dev
+    - libdlpack-dev
+    - libsndfile1-dev
     - libswscale-dev
     - libturbojpeg-dev
     - libjpeg-turbo-official=3.0.2-20240124
@@ -36,15 +38,15 @@ parameters:
 - name: rocmDependencies
   type: object
   default:
-    - rocm-cmake
-    - llvm-project
-    - ROCR-Runtime
-    - clr
-    - rocDecode
-    - half
-    - rpp
-    - MIVisionX
     - aomp
+    - clr
+    - half
+    - llvm-project
+    - MIVisionX
+    - rocDecode
+    - rocm-cmake
+    - ROCR-Runtime
+    - rpp
 - name: rocmTestDependencies
   type: object
   default:
@@ -53,6 +55,7 @@ parameters:
     - half
     - llvm-project
     - MIVisionX
+    - rocDecode
     - rocminfo
     - rocprofiler-register
     - ROCR-Runtime
@@ -134,14 +137,9 @@ jobs:
       workingDirectory: '$(Build.SourcesDirectory)/rapidjson/build'
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -149,6 +147,7 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm;/opt/libjpeg-turbo
         -DCMAKE_INSTALL_PREFIX_PYTHON=$Python3_STDARCH
         -DCMAKE_BUILD_TYPE=Release
+        -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
     parameters:
@@ -167,7 +166,9 @@ jobs:
     value: $(Agent.BuildDirectory)/rocm
   - name: CMAKE_INCLUDE_PATH
     value: $(Agent.BuildDirectory)/rocm/include/rocal
-  pool: $(JOB_TEST_POOL)
+  pool:
+    name: $(JOB_TEST_POOL)
+    demands: firstRenderDeviceAccess
   workspace:
     clean: all
   strategy:
@@ -194,19 +195,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Link libjpeg-turbo
     inputs:

.azuredevops/components/rocALUTION.yml

@@ -70,14 +70,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -120,19 +115,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocBLAS.yml

@@ -87,14 +87,9 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aocl.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -145,19 +140,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocDecode.yml

@@ -70,14 +70,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -123,19 +118,11 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   # anything in /opt may be persistent across runs
   # so we need to remove the symlink if it already exists
   - script: |

.azuredevops/components/rocFFT.yml

@@ -65,14 +65,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -117,19 +112,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocJPEG.yml

@@ -65,14 +65,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -118,19 +113,11 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, 'develop') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, 'develop') }}:
-        dependencySource: tag-builds
   # anything in /opt may be persistent across runs
   # so we need to remove the symlink if it already exists
   - script: |

.azuredevops/components/rocMLIR.yml

@@ -47,13 +47,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -91,21 +86,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: ROCm symbolic link
     inputs:

.azuredevops/components/rocPRIM.yml

@@ -52,14 +52,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -99,19 +94,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocPyDecode.yml

@@ -65,14 +65,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: 'ROCm symbolic link'
     inputs:
@@ -172,20 +167,12 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
       setupHIPLibrarySymlinks: true
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: pip install
     inputs:

.azuredevops/components/rocRAND.yml

@@ -55,14 +55,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -101,19 +96,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocSOLVER.yml

@@ -74,14 +74,9 @@ jobs:
       workingDirectory: '$(Build.SourcesDirectory)'
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       componentName: lapack
@@ -135,19 +130,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocSPARSE.yml

@@ -66,14 +66,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -130,19 +125,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocThrust.yml

@@ -57,14 +57,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -104,19 +99,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocWMMA.yml

@@ -12,6 +12,7 @@ parameters:
     - cmake
     - ninja-build
     - libboost-program-options-dev
+    - libdrm-dev
     - libgtest-dev
     - googletest
     - libfftw3-dev
@@ -66,14 +67,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -82,7 +78,7 @@ jobs:
         -DCMAKE_BUILD_TYPE=Release
         -DROCWMMA_BUILD_TESTS=ON
         -DROCWMMA_BUILD_SAMPLES=OFF
-        -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
+        -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
         -GNinja
 # gfx1030 not supported in documentation
@@ -117,19 +113,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocm-examples.yml

@@ -85,14 +85,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       # https://github.com/ROCm/HIP/issues/2203
@@ -142,19 +137,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       # https://github.com/ROCm/HIP/issues/2203

.azuredevops/components/rocm_bandwidth_test.yml

@@ -55,13 +55,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -95,12 +90,9 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rocm_smi_lib.yml

@@ -5,6 +5,10 @@ parameters:
 - name: checkoutRef
   type: string
   default: ''
+- name: aptPackages
+  type: object
+  default:
+    - libdrm-dev
 
 jobs:
 - job: rocm_smi_lib
@@ -16,6 +20,9 @@ jobs:
   workspace:
     clean: all
   steps:
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+    parameters:
+      aptPackages: ${{ parameters.aptPackages }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:

.azuredevops/components/rocminfo.yml

@@ -32,14 +32,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       skipLlvmSymlink: true
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -67,12 +62,9 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
     parameters:
       runRocminfo: false

.azuredevops/components/rocprofiler-compute.yml

@@ -70,21 +70,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
     parameters:
@@ -129,19 +119,11 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Add ROCm binaries to PATH
     inputs:

.azuredevops/components/rocprofiler-sdk.yml

@@ -8,11 +8,13 @@ parameters:
 - name: aptPackages
   type: object
   default:
-    - cmake
-    - python3-pip
+    - build-essential
+    - libdrm-amdgpu-dev
     - libdrm-dev
     - libdw-dev
     - libelf-dev
+    - pkg-config
+    - python3-pip
 - name: pipModules
   type: object
   default:
@@ -27,7 +29,7 @@ parameters:
     - pandas
     - perfetto
     - pycobertura
-    - pytest
+    - pytest>=6.2.5
     - pyyaml
 - name: rocmDependencies
   type: object
@@ -40,11 +42,9 @@ parameters:
     - rocminfo
     - ROCR-Runtime
     - rocprofiler-register
-    - roctracer
-    - aomp
 
 jobs:
-- job: rocprofilersdk
+- job: rocprofiler_sdk
   variables:
   - group: common
   - template: /.azuredevops/variables-global.yml
@@ -61,34 +61,75 @@ jobs:
     parameters:
       aptPackages: ${{ parameters.aptPackages }}
       pipModules: ${{ parameters.pipModules }}
+      registerRadeon: true
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DROCPROFILER_BUILD_TESTS=ON
-        -DROCPROFILER_BUILD_SAMPLES=OFF
-        -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
-      multithreadFlag: -- -j2
+        -DROCPROFILER_BUILD_SAMPLES=ON
+        -DROCPROFILER_BUILD_RELEASE=ON
+        -DGPU_TARGETS=$(JOB_GPU_TARGET)
+      multithreadFlag: -- -j4
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
+    parameters:
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/artifact-upload.yml
+    parameters:
+      gpuTarget: $(JOB_GPU_TARGET)
+
+- job: rocprofiler_sdk_testing
+  dependsOn: rocprofiler_sdk
+  condition: and(succeeded(), eq(variables.ENABLE_GFX942_TESTS, 'true'), not(containsValue(split(variables.DISABLED_GFX942_TESTS, ','), variables['Build.DefinitionName'])))
+  variables:
+  - group: common
+  - template: /.azuredevops/variables-global.yml
+  pool: $(JOB_TEST_POOL)
+  workspace:
+    clean: all
+  strategy:
+    matrix:
+      gfx942:
+        JOB_GPU_TARGET: gfx942
+        JOB_TEST_POOL: ${{ variables.GFX942_TEST_POOL }}
+  steps:
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-other.yml
+    parameters:
+      aptPackages: ${{ parameters.aptPackages }}
+      pipModules: ${{ parameters.pipModules }}
+      registerRadeon: true
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/checkout.yml
+    parameters:
+      checkoutRepo: ${{ parameters.checkoutRepo }}
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
+    parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
+      dependencyList: ${{ parameters.rocmDependencies }}
+      gpuTarget: $(JOB_GPU_TARGET)
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
+    parameters:
+      extraBuildFlags: >-
+        -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
+        -DROCPROFILER_BUILD_TESTS=ON
+        -DROCPROFILER_BUILD_SAMPLES=ON
+        -DROCPROFILER_BUILD_RELEASE=ON
+        -DGPU_TARGETS=$(JOB_GPU_TARGET)
+      multithreadFlag: -- -j16
+  - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
+    parameters:
+      componentName: rocprofiler-sdk
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)

.azuredevops/components/rocprofiler-systems.yml

@@ -75,21 +75,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: ROCm symbolic link
     inputs:

.azuredevops/components/rocprofiler.yml

@@ -67,21 +67,11 @@ jobs:
     parameters:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -122,19 +112,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - task: Bash@3
     displayName: Setup test environment
     inputs:

.azuredevops/components/rocr_debug_agent.yml

@@ -53,13 +53,8 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -92,19 +87,11 @@ jobs:
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/preamble.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/local-artifact-download.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       componentName: rocr_debug_agent-tests

.azuredevops/components/roctracer.yml

@@ -60,14 +60,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -108,19 +103,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/gpu-diagnostics.yml
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/test.yml
     parameters:

.azuredevops/components/rpp.yml

@@ -8,13 +8,13 @@ parameters:
 - name: aptPackages
   type: object
   default:
+    - clang
     - cmake
+    - imagemagick
     - libopencv-dev
     - libsndfile1-dev
     - libstdc++-12-dev
-    - imagemagick
     - ninja-build
-    - clang
 - name: pipModules
   type: object
   default:
@@ -66,14 +66,9 @@ jobs:
       checkoutRepo: ${{ parameters.checkoutRepo }}
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      # CI case: download latest default branch build
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      # manual build case: triggered by ROCm/ROCm repo
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/build-cmake.yml
     parameters:
       extraBuildFlags: >-
@@ -83,7 +78,7 @@ jobs:
         -DCMAKE_PREFIX_PATH=$(Agent.BuildDirectory)/rocm
         -DHALF_INCLUDE_DIRS=$(Agent.BuildDirectory)/rocm/include
         -DCMAKE_BUILD_TYPE=Release
-        -DAMDGPU_TARGETS=$(JOB_GPU_TARGET)
+        -DGPU_TARGETS=$(JOB_GPU_TARGET)
         -GNinja
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/manifest.yml
     parameters:
@@ -118,19 +113,11 @@ jobs:
     parameters:
       gpuTarget: $(JOB_GPU_TARGET)
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-aqlprofile.yml
-    parameters:
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      checkoutRef: ${{ parameters.checkoutRef }}
       dependencyList: ${{ parameters.rocmTestDependencies }}
       gpuTarget: $(JOB_GPU_TARGET)
-      ${{ if eq(parameters.checkoutRef, '') }}:
-        dependencySource: staging
-      ${{ elseif ne(parameters.checkoutRef, '') }}:
-        dependencySource: tag-builds
   # Dependencies from: https://github.com/ROCm/rpp/blob/develop/utilities/test_suite/README.md
   - task: Bash@3
     displayName: Build and install Turbo JPEG
@@ -156,7 +143,7 @@ jobs:
     inputs:
       targetType: 'inline'
       script: |
-        git clone https://github.com/NIFTI-Imaging/nifti_clib.git
+        git clone -b v3.0.1 https://github.com/NIFTI-Imaging/nifti_clib.git
         cd nifti_clib
         mkdir build
         cd build

.azuredevops/nightly/rocm-nightly.yml

@@ -1,5 +1,10 @@
 parameters:
-# currently excludes clr
+- name: dependencySource
+  type: string
+  default: staging
+  values: 
+    - staging
+    - mainline
 - name: rocmDependencies
   type: object
   default:
@@ -60,6 +65,7 @@ parameters:
     - roctracer
     - rocWMMA
     - rpp
+    - TransferBench
 
 trigger: none
 pr: none
@@ -99,11 +105,11 @@ jobs:
     displayName: System disk space before ROCm
   - template: ${{ variables.CI_TEMPLATE_PATH }}/steps/dependencies-rocm.yml
     parameters:
+      dependencySource: ${{ parameters.dependencySource }}
       dependencyList: ${{ parameters.rocmDependencies }}
-      dependencySource: staging
+      gpuTarget: $(JOB_GPU_TARGET)
       skipLibraryLinking: true
       skipLlvmSymlink: true
-      gpuTarget: $(JOB_GPU_TARGET)
   - script: df -h
     displayName: System disk space after ROCm
   - script: du -sh $(Agent.BuildDirectory)/rocm

.azuredevops/tag-builds/TransferBench.yml

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

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

@@ -6,152 +6,12 @@ parameters:
 - name: pipelineId
   type: string
   default: ''
-- name: useDefaultBranch
-  type: boolean
-  default: true
-# useMainlineBranch only processed if useDefaultBranch is false
-- name: useMainlineBranch
-  type: boolean
-  default: false
-- name: latestFromBranch
-  type: boolean
-  default: true
-- name: extractToMnt
-  type: boolean
-  default: false
-- name: fileFilter
-  type: string
-  default: ''
-- name: defaultBranchList
-  type: object
-  default:
-    AMDMIGraphX: develop
-    amdsmi: amd-staging
-    aomp-extras: aomp-dev
-    aomp: aomp-dev
-    clr: amd-staging
-    composable_kernel: develop
-    half: rocm
-    HIP: amd-staging
-    hip-tests: amd-staging
-    hipBLAS: develop
-    hipBLASLt: develop
-    hipBLAS-common: develop
-    hipCUB: develop
-    hipFFT: develop
-    hipfort: develop
-    HIPIFY: amd-staging
-    hipRAND: develop
-    hipSOLVER: develop
-    hipSPARSE: develop
-    hipSPARSELt: develop
-    hipTensor: develop
-    llvm-project: amd-staging
-    MIOpen: develop
-    MIVisionX: develop
-    omniperf: amd-staging
-    omnitrace: amd-staging
-    rccl: develop
-    rdc: amd-staging
-    rocAL: develop
-    rocALUTION: develop
-    rocBLAS: develop
-    ROCdbgapi : amd-staging
-    rocDecode: develop
-    rocFFT: develop
-    ROCgdb: amd-staging
-    rocJPEG: develop
-    rocm-cmake: develop
-    rocm-core: master
-    rocm-examples: develop
-    rocminfo: amd-staging
-    rocMLIR: develop
-    ROCmValidationSuite: master
-    rocm_bandwidth_test: master
-    rocm_smi_lib: amd-staging
-    rocPRIM: develop
-    rocprofiler: amd-staging
-    rocprofiler-compute: amd-staging
-    rocprofiler-register: amd-staging
-    rocprofiler-sdk: amd-staging
-    rocprofiler-systems: amd-staging
-    rocPyDecode: develop
-    ROCR-Runtime: amd-staging
-    rocRAND: develop
-    rocr_debug_agent: amd-staging
-    rocSOLVER: develop
-    rocSPARSE: develop
-    rocThrust: develop
-    roctracer: amd-staging
-    rocWMMA: develop
-    rpp: develop
-- name: mainlineBranchList
-  type: object
-  default:
-    AMDMIGraphX: mainline
-    amdsmi: amd-mainline
-    aomp-extras: amd-mainline-open
-    aomp: amd-mainline-open
-    clr: amd-mainline
-    composable_kernel: mainline
-    half: rocm
-    HIP: amd-mainline
-    hip-tests: amd-mainline
-    hipBLAS: mainline
-    hipBLASLt: mainline
-    hipBLAS-common: mainline
-    hipCUB: mainline
-    hipFFT: mainline
-    hipfort: mainline
-    HIPIFY: amd-mainline
-    hipRAND: mainline
-    hipSOLVER: mainline
-    hipSPARSE: mainline
-    hipSPARSELt: mainline
-    hipTensor: mainline
-    llvm-project: amd-mainline-open
-    MIOpen: mainline
-    MIVisionX: mainline
-    omniperf: amd-mainline
-    omnitrace: amd-mainline
-    rccl: mainline
-    rdc: amd-mainline
-    rocAL: master # needs the yaml file
-    rocALUTION: mainline
-    rocBLAS: mainline
-    ROCdbgapi : amd-mainline
-    rocDecode: mainline
-    rocFFT: mainline
-    ROCgdb: amd-mainline-rocgdb-15
-    rocJPEG: mainline
-    rocm-cmake: mainline
-    rocm-core: amd-master
-    rocm-examples: develop # no mainline
-    rocminfo: amd-master
-    rocMLIR: mainline # needs the yaml file
-    ROCmValidationSuite: mainline
-    rocm_bandwidth_test: master
-    rocm_smi_lib: amd-mainline
-    rocPRIM: mainline
-    rocprofiler: amd-master
-    rocprofiler-compute: amd-mainline
-    rocprofiler-register: amd-mainline
-    rocprofiler-sdk: amd-mainline
-    rocprofiler-systems: amd-mainline
-    rocPyDecode: mainline
-    ROCR-Runtime: amd-master
-    rocRAND: mainline
-    rocr_debug_agent: amd-mainline
-    rocSOLVER: mainline
-    rocSPARSE: mainline
-    rocThrust: mainline
-    roctracer: amd-master
-    rocWMMA: mainline
-    rpp: mainline
-# BELOW REQUIRED IF useDefaultBranch false
 - name: branchName
   type: string
   default: '$(Build.SourceBranchName)' # for tagged builds
+- name: fileFilter
+  type: string
+  default: ''
 
 steps:
 - task: Bash@3
@@ -172,25 +32,16 @@ steps:
     definition: ${{ parameters.pipelineId }}
     specificBuildWithTriggering: true
     itemPattern: '**/*${{ parameters.fileFilter }}*'
-    ${{ if eq(parameters.latestFromBranch, true) }}:
-      ${{ if notIn(parameters.componentName, 'aomp') }}: # remove this once these pipelines are functional + up-to-date
-        buildVersionToDownload: latestFromBranch # default is 'latest'
-    ${{ if eq(parameters.useDefaultBranch, true) }}:
-      branchName: refs/heads/${{ parameters.defaultBranchList[parameters.componentName] }}
-    ${{ elseif eq(parameters.useMainlineBranch, true) }}:
-      branchName: refs/heads/${{ parameters.mainlineBranchList[parameters.componentName] }}
-    ${{ else }}:
-      branchName: ${{ parameters.branchName }}
+    ${{ if notIn(parameters.componentName, 'aomp') }}: # remove this once these pipelines are functional + up-to-date
+      buildVersionToDownload: latestFromBranch # default is 'latest'
+    branchName: refs/heads/${{ parameters.branchName }}
     allowPartiallySucceededBuilds: $(allowPartiallySucceededBuilds)
     targetPath: '$(Pipeline.Workspace)/d'
 - task: ExtractFiles@1
   displayName: Extract ${{ parameters.componentName }}
   inputs:
     archiveFilePatterns: '$(Pipeline.Workspace)/d/**/*.tar.gz'
-    ${{ if parameters.extractToMnt }}:
-      destinationFolder: '/mnt/rocm'
-    ${{ else }}:
-      destinationFolder: '$(Agent.BuildDirectory)/rocm'
+    destinationFolder: '$(Agent.BuildDirectory)/rocm'
     cleanDestinationFolder: false
     overwriteExistingFiles: true
 - task: DeleteFiles@1

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

@@ -1,29 +1,16 @@
-parameters:
-- name: dependencySource
-  type: string
-  default: staging
-  values:
-    - staging
-    - tag-builds
-- name: repositoryUrl
-  type: object
-  default: 
-    staging: https://repo.radeon.com/rocm/apt/latest/pool/main/h/hsa-amd-aqlprofile/ # end slash is important for curl!
-    tag-builds: https://repo.radeon.com/rocm/apt/$(TAGGED_RELEASE)/pool/main/h/hsa-amd-aqlprofile/
-
 steps:
 - task: Bash@3
   displayName: Get aqlprofile package name
   inputs:
     targetType: inline
     script: |
-      export packageName=$(curl -s ${{ parameters.repositoryUrl[parameters.dependencySource] }} | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb")
+      export packageName=$(curl -s https://repo.radeon.com/rocm/apt/latest/pool/main/h/hsa-amd-aqlprofile/ | grep -oP "href=\"\K[^\"]*$(lsb_release -rs)[^\"]*\.deb")
       echo "##vso[task.setvariable variable=packageName;isreadonly=true]$packageName"
 - task: Bash@3
   displayName: 'Download aqlprofile'
   inputs:
     targetType: inline
-    script: wget -nv ${{ parameters.repositoryUrl[parameters.dependencySource] }}$(packageName)
+    script: wget -nv https://repo.radeon.com/rocm/apt/latest/pool/main/h/hsa-amd-aqlprofile/$(packageName)
     workingDirectory: '$(Pipeline.Workspace)'
 - task: Bash@3
   displayName: 'Extract aqlprofile'

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

@@ -6,10 +6,26 @@ parameters:
 - name: pipModules
   type: object
   default: []
+- name: registerRadeon
+  type: boolean
+  default: false
 
 steps:
+- ${{ if eq(parameters.registerRadeon, true) }}:
+  - task: Bash@3
+    displayName: 'Register repo.radeon packages'
+    inputs:
+      targetType: inline
+      script: |
+        sudo mkdir --parents --mode=0755 /etc/apt/keyrings
+        wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
+        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amdgpu/latest/ubuntu jammy main" | sudo tee /etc/apt/sources.list.d/amdgpu.list
+        echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/latest jammy main" | sudo tee --append /etc/apt/sources.list.d/rocm.list
+        echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
+        sudo apt update
 # firefox takes time to upgrade and is not needed for CI workloads, hold version
 - task: Bash@3
+  continueOnError: true
   displayName: 'sudo apt-mark hold firefox'
   inputs:
     targetType: inline

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

@@ -1,160 +1,22 @@
 # download and install rocm dependencies through pipeline builds in the project
-# REQUIRED
 parameters:
+- name: checkoutRef
+  type: string
+  default: ''
+- name: dependencySource # optional, overrides checkoutRef
+  type: string
+  default: null
+  values:
+    - null # empty strings aren't allowed as values, use null instead
+    - staging
+    - mainline
 - name: dependencyList
   type: object
   default: []
-- name: dependencySource
-  type: string
-  default: staging
-  values:
-    - staging
-    - mainline
-    - tag-builds
-    - fixed
-- name: extractToMnt
-  type: boolean
-  default: false
-# required values for fixed selection
-- name: fixedPipelineIdentifier
-  type: string
-  default: 0
-- name: fixedComponentName
+- name: gpuTarget
   type: string
   default: ''
-- name: latestFromBranch
-  type: boolean
-  default: true
-# match case of the repo in this object for the left side of the maps
-# should not need to replace these parameters
-- name: stagingPipelineIdentifiers
-  type: object
-  default:
-    AMDMIGraphX: $(AMDMIGRAPHX_PIPELINE_ID)
-    amdsmi: $(AMDSMI_PIPELINE_ID)
-    aomp-extras: $(AOMP_EXTRAS_PIPELINE_ID)
-    aomp: $(AOMP_PIPELINE_ID)
-    clr: $(CLR_PIPELINE_ID)
-    composable_kernel: $(COMPOSABLE_KERNEL_PIPELINE_ID)
-    half: $(HALF_PIPELINE_ID)
-    HIP: $(HIP_PIPELINE_ID)
-    hip-tests: $(HIP_TESTS_PIPELINE_ID)
-    hipBLAS: $(HIPBLAS_PIPELINE_ID)
-    hipBLAS-common: $(HIPBLAS_COMMON_PIPELINE_ID)
-    hipBLASLt: $(HIPBLASLT_PIPELINE_ID)
-    hipCUB: $(HIPCUB_PIPELINE_ID)
-    hipFFT: $(HIPFFT_PIPELINE_ID)
-    hipfort: $(HIPFORT_PIPELINE_ID)
-    HIPIFY: $(HIPIFY_PIPELINE_ID)
-    hipRAND: $(HIPRAND_PIPELINE_ID)
-    hipSOLVER: $(HIPSOLVER_PIPELINE_ID)
-    hipSPARSE: $(HIPSPARSE_PIPELINE_ID)
-    hipSPARSELt: $(HIPSPARSELT_PIPELINE_ID)
-    hipTensor: $(HIPTENSOR_PIPELINE_ID)
-    llvm-project: $(LLVM_PROJECT_PIPELINE_ID)
-    MIOpen: $(MIOpen_PIPELINE_ID)
-    MIVisionX: $(MIVISIONX_PIPELINE_ID)
-    omniperf: $(OMNIPERF_PIPELINE_ID)
-    omnitrace: $(OMNITRACE_PIPELINE_ID)
-    rccl: $(RCCL_PIPELINE_ID)
-    rdc: $(RDC_PIPELINE_ID)
-    rocAL: $(ROCAL_PIPELINE_ID)
-    rocALUTION: $(ROCALUTION_PIPELINE_ID)
-    rocBLAS: $(ROCBLAS_PIPELINE_ID)
-    ROCdbgapi: $(ROCDBGAPI_PIPELINE_ID)
-    rocDecode: $(ROCDECODE_PIPELINE_ID)
-    rocFFT: $(ROCFFT_PIPELINE_ID)
-    ROCgdb: $(ROCGDB_PIPELINE_ID)
-    rocJPEG: $(ROCJPEG_PIPELINE_ID)
-    rocm-cmake: $(ROCM_CMAKE_PIPELINE_ID)
-    rocm-core: $(ROCM_CORE_PIPELINE_ID)
-    rocm-examples: $(ROCM_EXAMPLES_PIPELINE_ID)
-    rocminfo: $(ROCMINFO_PIPELINE_ID)
-    rocMLIR: $(ROCMLIR_PIPELINE_ID)
-    ROCmValidationSuite: $(ROCMVALIDATIONSUITE_PIPELINE_ID)
-    rocm_bandwidth_test: $(ROCM_BANDWIDTH_TEST_PIPELINE_ID)
-    rocm_smi_lib: $(ROCM_SMI_LIB_PIPELINE_ID)
-    rocPRIM: $(ROCPRIM_PIPELINE_ID)
-    rocprofiler-compute: $(ROCPROFILER_COMPUTE_PIPELINE_ID)
-    rocprofiler-register: $(ROCPROFILER_REGISTER_PIPELINE_ID)
-    rocprofiler-sdk: $(ROCPROFILER_SDK_PIPELINE_ID)
-    rocprofiler-systems: $(ROCPROFILER_SYSTEMS_PIPELINE_ID)
-    rocprofiler: $(ROCPROFILER_PIPELINE_ID)
-    rocPyDecode: $(ROCPYDECODE_PIPELINE_ID)
-    ROCR-Runtime: $(ROCR_RUNTIME_PIPELINE_ID)
-    rocRAND: $(ROCRAND_PIPELINE_ID)
-    rocr_debug_agent: $(ROCR_DEBUG_AGENT_PIPELINE_ID)
-    rocSOLVER: $(ROCSOLVER_PIPELINE_ID)
-    rocSPARSE: $(ROCSPARSE_PIPELINE_ID)
-    ROCT-Thunk-Interface: $(ROCT_THUNK_INTERFACE_PIPELINE_ID)
-    rocThrust: $(ROCTHRUST_PIPELINE_ID)
-    roctracer: $(ROCTRACER_PIPELINE_ID)
-    rocWMMA: $(ROCWMMA_PIPELINE_ID)
-    rpp: $(RPP_PIPELINE_ID)
-- name: taggedPipelineIdentifiers
-  type: object
-  default:
-    AMDMIGraphX: $(AMDMIGRAPHX_TAGGED_PIPELINE_ID)
-    amdsmi: $(AMDSMI_TAGGED_PIPELINE_ID)
-    aomp-extras: $(AOMP_EXTRAS_TAGGED_PIPELINE_ID)
-    aomp: $(AOMP_TAGGED_PIPELINE_ID)
-    clr: $(CLR_TAGGED_PIPELINE_ID)
-    composable_kernel: $(COMPOSABLE_KERNEL_TAGGED_PIPELINE_ID)
-    half: $(HALF_TAGGED_PIPELINE_ID)
-    HIP: $(HIP_TAGGED_PIPELINE_ID)
-    hip-tests: $(HIP_TESTS_TAGGED_PIPELINE_ID)
-    hipBLAS: $(HIPBLAS_TAGGED_PIPELINE_ID)
-    hipBLAS-common: $(HIPBLAS_COMMON_TAGGED_PIPELINE_ID)
-    hipBLASLt: $(HIPBLASLT_TAGGED_PIPELINE_ID)
-    hipCUB: $(HIPCUB_TAGGED_PIPELINE_ID)
-    hipFFT: $(HIPFFT_TAGGED_PIPELINE_ID)
-    hipfort: $(HIPFORT_TAGGED_PIPELINE_ID)
-    HIPIFY: $(HIPIFY_TAGGED_PIPELINE_ID)
-    hipRAND: $(HIPRAND_TAGGED_PIPELINE_ID)
-    hipSOLVER: $(HIPSOLVER_TAGGED_PIPELINE_ID)
-    hipSPARSE: $(HIPSPARSE_TAGGED_PIPELINE_ID)
-    hipSPARSELt: $(HIPSPARSELT_TAGGED_PIPELINE_ID)
-    hipTensor: $(HIPTENSOR_TAGGED_PIPELINE_ID)
-    llvm-project: $(LLVM_PROJECT_TAGGED_PIPELINE_ID)
-    MIOpen: $(MIOpen_TAGGED_PIPELINE_ID)
-    MIVisionX: $(MIVISIONX_TAGGED_PIPELINE_ID)
-    omniperf: $(OMNIPERF_TAGGED_PIPELINE_ID)
-    omnitrace: $(OMNITRACE_TAGGED_PIPELINE_ID)
-    rccl: $(RCCL_TAGGED_PIPELINE_ID)
-    rdc: $(RDC_TAGGED_PIPELINE_ID)
-    rocAL: $(ROCAL_TAGGED_PIPELINE_ID)
-    rocALUTION: $(ROCALUTION_TAGGED_PIPELINE_ID)
-    rocBLAS: $(ROCBLAS_TAGGED_PIPELINE_ID)
-    ROCdbgapi: $(ROCDBGAPI_TAGGED_PIPELINE_ID)
-    rocDecode: $(ROCDECODE_TAGGED_PIPELINE_ID)
-    rocFFT: $(ROCFFT_TAGGED_PIPELINE_ID)
-    ROCgdb: $(ROCGDB_TAGGED_PIPELINE_ID)
-    rocJPEG: $(ROCJPEG_TAGGED_PIPELINE_ID)
-    rocm-cmake: $(ROCM_CMAKE_TAGGED_PIPELINE_ID)
-    rocm-core: $(ROCM_CORE_TAGGED_PIPELINE_ID)
-    rocm-examples: $(ROCM_EXAMPLES_TAGGED_PIPELINE_ID)
-    rocminfo: $(ROCMINFO_TAGGED_PIPELINE_ID)
-    rocMLIR: $(ROCMLIR_TAGGED_PIPELINE_ID)
-    ROCmValidationSuite: $(ROCMVALIDATIONSUITE_TAGGED_PIPELINE_ID)
-    rocm_bandwidth_test: $(ROCM_BANDWIDTH_TEST_TAGGED_PIPELINE_ID)
-    rocm_smi_lib: $(ROCM_SMI_LIB_TAGGED_PIPELINE_ID)
-    rocPRIM: $(ROCPRIM_TAGGED_PIPELINE_ID)
-    rocprofiler-compute: $(ROCPROFILER_COMPUTE_TAGGED_PIPELINE_ID)
-    rocprofiler-register: $(ROCPROFILER_REGISTER_TAGGED_PIPELINE_ID)
-    rocprofiler-sdk: $(ROCPROFILER_SDK_TAGGED_PIPELINE_ID)
-    rocprofiler-systems: $(ROCPROFILER_SYSTEMS_PIPELINE_ID)
-    rocprofiler: $(ROCPROFILER_TAGGED_PIPELINE_ID)
-    rocPyDecode: $(ROCPYDECODE_TAGGED_PIPELINE_ID)
-    ROCR-Runtime: $(ROCR_RUNTIME_TAGGED_PIPELINE_ID)
-    rocRAND: $(ROCRAND_TAGGED_PIPELINE_ID)
-    rocr_debug_agent: $(ROCR_DEBUG_AGENT_TAGGED_PIPELINE_ID)
-    rocSOLVER: $(ROCSOLVER_TAGGED_PIPELINE_ID)
-    rocSPARSE: $(ROCSPARSE_TAGGED_PIPELINE_ID)
-    ROCT-Thunk-Interface: $(ROCT_THUNK_INTERFACE_TAGGED_PIPELINE_ID)
-    rocThrust: $(ROCTHRUST_TAGGED_PIPELINE_ID)
-    roctracer: $(ROCTRACER_TAGGED_PIPELINE_ID)
-    rocWMMA: $(ROCWMMA_TAGGED_PIPELINE_ID)
-    rpp: $(RPP_TAGGED_PIPELINE_ID)
+
 # set to true if you're calling this template file multiple files in same pipeline
 # only leave last call false to optimize sequence
 - name: skipLibraryLinking
@@ -170,52 +32,315 @@ parameters:
 - name: setupHIPLibrarySymlinks
   type: boolean
   default: false
-# some ROCm components can specify GPU target and this will affect downloads
-- name: gpuTarget
-  type: string
-  default: ''
-# array of ROCm components that can specify GPU target or have dependency of such a component
-# these components would have parallel build jobs per GPU target so they produce multiple artifacts
-# only download artifact tied to the GPU target
-- name: componentsWithGPUTarget
+
+- name: componentVarList
   type: object
   default:
-    - AMDMIGraphX
-    - composable_kernel
-    - hipBLASLt
-    - hipCUB
-    - hipFFT
-    - hipRAND
-    - hipSPARSELt
-    - hipTensor
-    - omnitrace
-    - rccl
-    - rocALUTION
-    - rocBLAS
-    - rocFFT
-    - rocm-examples
-    - rocPRIM
-    - rocprofiler-compute
-    - rocprofiler-sdk
-    - rocprofiler-systems
-    - rocprofiler
-    - rocPyDecode
-    - rocRAND
-    - rocSOLVER
-    - rocSPARSE
-    - rocThrust
-    - roctracer
-    - rocWMMA
-    - rpp
-# list below do not have flag for gpu target but have dependencies of components that do, so build separately per gpu target
-    - hipBLAS
-    - hipSOLVER
-    - hipSPARSE
-    - MIOpen
-    - MIVision
-    - omniperf
-    - rocAL
-    - ROCmValidationSuite
+    AMDMIGraphX:
+      pipelineId: $(AMDMIGRAPHX_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    amdsmi:
+      pipelineId: $(AMDSMI_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    aomp-extras:
+      pipelineId: $(AOMP_EXTRAS_PIPELINE_ID)
+      stagingBranch: aomp-dev
+      mainlineBranch: aomp-dev
+      hasGpuTarget: false
+    aomp:
+      pipelineId: $(AOMP_PIPELINE_ID)
+      stagingBranch: aomp-dev
+      mainlineBranch: amd-mainline-open
+      hasGpuTarget: false
+    clr:
+      pipelineId: $(CLR_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    composable_kernel:
+      pipelineId: $(COMPOSABLE_KERNEL_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    half:
+      pipelineId: $(HALF_PIPELINE_ID)
+      stagingBranch: rocm
+      mainlineBranch: rocm
+      hasGpuTarget: false
+    HIP:
+      pipelineId: $(HIP_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    hip-tests:
+      pipelineId: $(HIP_TESTS_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    hipBLAS:
+      pipelineId: $(HIPBLAS_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipBLASLt:
+      pipelineId: $(HIPBLASLT_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipBLAS-common:
+      pipelineId: $(HIPBLAS_COMMON_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    hipCUB:
+      pipelineId: $(HIPCUB_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipFFT:
+      pipelineId: $(HIPFFT_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipfort:
+      pipelineId: $(HIPFORT_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    HIPIFY:
+      pipelineId: $(HIPIFY_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    hipRAND:
+      pipelineId: $(HIPRAND_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipSOLVER:
+      pipelineId: $(HIPSOLVER_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipSPARSE:
+      pipelineId: $(HIPSPARSE_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipSPARSELt:
+      pipelineId: $(HIPSPARSELT_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    hipTensor:
+      pipelineId: $(HIPTENSOR_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    llvm-project:
+      pipelineId: $(LLVM_PROJECT_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline-open
+      hasGpuTarget: false
+    MIOpen:
+      pipelineId: $(MIOpen_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    MIVisionX:
+      pipelineId: $(MIVISIONX_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    omnitrace: # deprecated
+      pipelineId: $(OMNITRACE_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: true
+    rccl:
+      pipelineId: $(RCCL_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rdc:
+      pipelineId: $(RDC_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    rocAL:
+      pipelineId: $(ROCAL_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: master
+      hasGpuTarget: true
+    rocALUTION:
+      pipelineId: $(ROCALUTION_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rocBLAS:
+      pipelineId: $(ROCBLAS_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    ROCdbgapi:
+      pipelineId: $(ROCDBGAPI_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    rocDecode:
+      pipelineId: $(ROCDECODE_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    rocFFT:
+      pipelineId: $(ROCFFT_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    ROCgdb:
+      pipelineId: $(ROCGDB_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline-rocgdb-15
+      hasGpuTarget: false
+    rocJPEG:
+      pipelineId: $(ROCJPEG_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    rocm-cmake:
+      pipelineId: $(ROCM_CMAKE_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    rocm-core:
+      pipelineId: $(ROCM_CORE_PIPELINE_ID)
+      stagingBranch: master
+      mainlineBranch: amd-master
+      hasGpuTarget: false
+    rocm-examples:
+      pipelineId: $(ROCM_EXAMPLES_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: develop
+      hasGpuTarget: true
+    rocminfo:
+      pipelineId: $(ROCMINFO_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-master
+      hasGpuTarget: false
+    rocMLIR:
+      pipelineId: $(ROCMLIR_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: false
+    ROCmValidationSuite:
+      pipelineId: $(ROCMVALIDATIONSUITE_PIPELINE_ID)
+      stagingBranch: master
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rocm_bandwidth_test:
+      pipelineId: $(ROCM_BANDWIDTH_TEST_PIPELINE_ID)
+      stagingBranch: master
+      mainlineBranch: master
+      hasGpuTarget: false
+    rocm_smi_lib:
+      pipelineId: $(ROCM_SMI_LIB_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    rocPRIM:
+      pipelineId: $(ROCPRIM_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rocprofiler:
+      pipelineId: $(ROCPROFILER_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-master
+      hasGpuTarget: true
+    rocprofiler-compute:
+      pipelineId: $(ROCPROFILER_COMPUTE_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: true
+    rocprofiler-register:
+      pipelineId: $(ROCPROFILER_REGISTER_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    rocprofiler-sdk:
+      pipelineId: $(ROCPROFILER_SDK_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: true
+    rocprofiler-systems:
+      pipelineId: $(ROCPROFILER_SYSTEMS_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: true
+    rocPyDecode:
+      pipelineId: $(ROCPYDECODE_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    ROCR-Runtime:
+      pipelineId: $(ROCR_RUNTIME_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-master
+      hasGpuTarget: false
+    rocRAND:
+      pipelineId: $(ROCRAND_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rocr_debug_agent:
+      pipelineId: $(ROCR_DEBUG_AGENT_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-mainline
+      hasGpuTarget: false
+    rocSOLVER:
+      pipelineId: $(ROCSOLVER_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rocSPARSE:
+      pipelineId: $(ROCSPARSE_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    ROCT-Thunk-Interface: # deprecated
+      pipelineId: $(ROCT_THUNK_INTERFACE_PIPELINE_ID)
+      stagingBranch: master
+      mainlineBranch: master
+      hasGpuTarget: false
+    rocThrust:
+      pipelineId: $(ROCTHRUST_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    roctracer:
+      pipelineId: $(ROCTRACER_PIPELINE_ID)
+      stagingBranch: amd-staging
+      mainlineBranch: amd-master
+      hasGpuTarget: true
+    rocWMMA:
+      pipelineId: $(ROCWMMA_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    rpp:
+      pipelineId: $(RPP_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
+    TransferBench:
+      pipelineId: $(TRANSFERBENCH_PIPELINE_ID)
+      stagingBranch: develop
+      mainlineBranch: mainline
+      hasGpuTarget: true
 
 steps:
 # assuming artifact-download.yml template file in same directory
@@ -229,47 +354,59 @@ steps:
     - template: artifact-download.yml
       parameters:
         componentName: ${{ split(dependency, ':')[0] }}
-        extractToMnt: ${{ parameters.extractToMnt }}
-        ${{ if eq(parameters.dependencySource, 'staging') }}:
-          pipelineId: ${{ parameters.stagingPipelineIdentifiers[ split(dependency, ':')[0] ] }}
-          latestFromBranch: ${{ parameters.latestFromBranch }}
-        ${{ elseif eq(parameters.dependencySource, 'mainline') }}:
-          pipelineId: ${{ parameters.stagingPipelineIdentifiers[ split(dependency, ':')[0] ] }}
-          useMainlineBranch: true
-          latestFromBranch: ${{ parameters.latestFromBranch }}
-        ${{ elseif eq(parameters.dependencySource, 'tag-builds') }}:
-          pipelineId: ${{ parameters.taggedPipelineIdentifiers[ split(dependency, ':')[0] ] }}
-          latestFromBranch: false
-        ${{ if containsValue( parameters.componentsWithGPUTarget, split(dependency, ':')[0] ) }}:
+        pipelineId: ${{ parameters.componentVarList[split(dependency, ':')[0]].pipelineId }}
+        ${{ if parameters.componentVarList[split(dependency, ':')[0]].hasGpuTarget }}:
           fileFilter: "${{ split(dependency, ':')[1] }}*${{ parameters.gpuTarget }}"
+        # dependencySource = staging
+        ${{ if eq(parameters.dependencySource, 'staging')}}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
+        # dependencySource = mainline
+        ${{ elseif eq(parameters.dependencySource, 'mainline')}}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].mainlineBranch }}
+        # checkoutRef = staging
+        ${{ elseif eq(parameters.checkoutRef, parameters.componentVarList[variables['Build.DefinitionName']].stagingBranch) }}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
+        # checkoutRef = mainline
+        ${{ elseif eq(parameters.checkoutRef, parameters.componentVarList[variables['Build.DefinitionName']].mainlineBranch) }}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].mainlineBranch }}
+        # SourceBranchName = staging
+        ${{ elseif eq(variables['Build.SourceBranchName'], parameters.componentVarlist[variables['Build.DefinitionName']].stagingBranch) }}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
+        # SourceBranchName = mainline
+        ${{ elseif eq(variables['Build.SourceBranchName'], parameters.componentVarlist[variables['Build.DefinitionName']].mainlineBranch) }}:
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].mainlineBranch }}
+        # default = staging
         ${{ else }}:
-          fileFilter: ${{ split(dependency, ':')[1] }}
+          branchName: ${{ parameters.componentVarList[split(dependency, ':')[0]].stagingBranch }}
 # no colon (:) found in this item in the list
   - ${{ else }}:
     - template: artifact-download.yml
       parameters:
         componentName: ${{ dependency }}
-        extractToMnt: ${{ parameters.extractToMnt }}
-        ${{ if eq(parameters.dependencySource, 'staging') }}:
-          pipelineId: ${{ parameters.stagingPipelineIdentifiers[dependency] }}
-          latestFromBranch: ${{ parameters.latestFromBranch }}
-        ${{ elseif eq(parameters.dependencySource, 'mainline') }}:
-          pipelineId: ${{ parameters.stagingPipelineIdentifiers[dependency] }}
-          useMainlineBranch: true
-          latestFromBranch: ${{ parameters.latestFromBranch }}
-        ${{ elseif eq(parameters.dependencySource, 'tag-builds') }}:
-          pipelineId: ${{ parameters.taggedPipelineIdentifiers[dependency] }}
-          latestFromBranch: false
-        ${{ if containsValue( parameters.componentsWithGPUTarget, dependency ) }}:
+        pipelineId: ${{ parameters.componentVarList[dependency].pipelineId }}
+        ${{ if parameters.componentVarList[dependency].hasGpuTarget }}:
           fileFilter: ${{ parameters.gpuTarget }}
-# fixed case only accepts one component at a time, so no array input
-- ${{ if eq(parameters.dependencySource, 'fixed') }}:
-  - template: artifact-download.yml
-    parameters:
-      componentName: ${{ parameters.fixedComponentName }}
-      pipelineId: ${{ parameters.fixedPipelineIdentifier }}
-      latestFromBranch: false
-      extractToMnt: ${{ parameters.extractToMnt }}
+        # dependencySource = staging
+        ${{ if eq(parameters.dependencySource, 'staging')}}:
+          branchName: ${{ parameters.componentVarList[dependency].stagingBranch }}
+        # dependencySource = mainline
+        ${{ elseif eq(parameters.dependencySource, 'mainline')}}:
+          branchName: ${{ parameters.componentVarList[dependency].mainlineBranch }}
+        # checkoutRef = staging
+        ${{ elseif eq(parameters.checkoutRef, parameters.componentVarList[variables['Build.DefinitionName']].stagingBranch) }}:
+          branchName: ${{ parameters.componentVarList[dependency].stagingBranch }}
+        # checkoutRef = mainline
+        ${{ elseif eq(parameters.checkoutRef, parameters.componentVarList[variables['Build.DefinitionName']].mainlineBranch) }}:
+          branchName: ${{ parameters.componentVarList[dependency].mainlineBranch }}
+        # SourceBranchName = staging
+        ${{ elseif eq(variables['Build.SourceBranchName'], parameters.componentVarlist[variables['Build.DefinitionName']].stagingBranch) }}:
+          branchName: ${{ parameters.componentVarList[dependency].stagingBranch }}
+        # SourceBranchName = mainline
+        ${{ elseif eq(variables['Build.SourceBranchName'], parameters.componentVarlist[variables['Build.DefinitionName']].mainlineBranch) }}:
+          branchName: ${{ parameters.componentVarList[dependency].mainlineBranch }}
+        # default = staging
+        ${{ else }}:
+          branchName: ${{ parameters.componentVarList[dependency].stagingBranch }}
 # Set link to redirect llvm folder
 - ${{ if eq(parameters.skipLlvmSymlink, false) }}:
   - task: Bash@3
@@ -320,27 +457,16 @@ steps:
   displayName: 'List downloaded ROCm files'
   inputs:
     targetType: inline
-    ${{ if eq(parameters.extractToMnt, true) }}:
-      script: ls -1R /mnt/rocm
-    ${{ else }}:
-      script: ls -1R $(Agent.BuildDirectory)/rocm
+    script: ls -1R $(Agent.BuildDirectory)/rocm
 - ${{ if eq(parameters.skipLibraryLinking, false) }}:
   - task: Bash@3
     displayName: 'Link ROCm shared libraries'
     inputs:
       targetType: inline
 # OS ignores if the ROCm lib folder shows up more than once
-      ${{ if eq(parameters.extractToMnt, true) }}:
-        script: |
-          echo /mnt/rocm/lib | sudo tee /etc/ld.so.conf.d/rocm-ci.conf
-          echo /mnt/rocm/llvm/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
-          sudo cat /etc/ld.so.conf.d/rocm-ci.conf
-          sudo ldconfig -v
-          ldconfig -p
-      ${{ else }}:
-        script: |
-          echo $(Agent.BuildDirectory)/rocm/lib | sudo tee /etc/ld.so.conf.d/rocm-ci.conf
-          echo $(Agent.BuildDirectory)/rocm/llvm/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
-          sudo cat /etc/ld.so.conf.d/rocm-ci.conf
-          sudo ldconfig -v
-          ldconfig -p
+      script: |
+        echo $(Agent.BuildDirectory)/rocm/lib | sudo tee /etc/ld.so.conf.d/rocm-ci.conf
+        echo $(Agent.BuildDirectory)/rocm/llvm/lib | sudo tee -a /etc/ld.so.conf.d/rocm-ci.conf
+        sudo cat /etc/ld.so.conf.d/rocm-ci.conf
+        sudo ldconfig -v
+        ldconfig -p

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

@@ -36,7 +36,7 @@ steps:
 
       if [ -z "$CK_BUILD_ID" ]; then
         echo "Did not find specific CK build ID"
-        LATEST_BUILD_URL="$AZ_API/build/builds?definitions=$(COMPOSABLE_KERNEL_PIPELINE_ID)&status=completed&result=succeeded&\$top=1&api-version=7.1"
+        LATEST_BUILD_URL="$AZ_API/build/builds?definitions=$(COMPOSABLE_KERNEL_PIPELINE_ID)&statusFilter=completed&resultFilter=succeeded&\$top=1&api-version=7.1"
         CK_BUILD_ID=$(curl -s $LATEST_BUILD_URL | jq '.value[0].id')
         echo "Found latest CK build ID: $CK_BUILD_ID"
         EXIT_CODE=1

.azuredevops/templates/steps/test.yml

@@ -35,6 +35,7 @@ parameters:
     - MIVisionX
     - rocm-cmake
     - rocm_smi_lib
+    - rocprofiler-sdk
     - roctracer
 
 steps:

.azuredevops/variables-global.yml

@@ -74,9 +74,9 @@ variables:
 - name: HALF_TAGGED_PIPELINE_ID
   value: 11
 - name: HALF560_PIPELINE_ID
-  value: 66
-- name: HALF560_TAGGED_PIPELINE_ID
-  value: 66
+  value: 68
+- name: HALF560_BUILD_ID
+  value: 621
 - name: HIP_PIPELINE_ID
   value: 93
 - name: HIP_TAGGED_PIPELINE_ID
@@ -343,5 +343,9 @@ variables:
   value: 78
 - name: RPP_TAGGED_PIPELINE_ID
   value: 39
+- name: TRANSFERBENCH_PIPELINE_ID
+  value: 265
+- name: TRANSFERBENCH_TAGGED_PIPELINE_ID
+  value: 266
 - name: BOOST_DEPENDENCY_PIPELINE_ID
   value: 250

.github/workflows/linting.yml

@@ -2,13 +2,13 @@ name: Linting
 
 on:
   push:
-    branches: 
+    branches:
     - develop
     - main
     - 'docs/*'
     - 'roc**'
   pull_request:
-    branches: 
+    branches:
     - develop
     - main
     - 'docs/*'

.spellcheck.local.yaml

@@ -0,0 +1,10 @@
+matrix:
+- name: Markdown
+  sources:
+  - ['tools/autotag/templates/**/*.md', '!tools/autotag/templates/**/5*.md', '!tools/autotag/templates/**/6.0*.md', '!tools/autotag/templates/**/6.1*.md']
+- name: reST
+  sources:
+  - []
+- name: Cpp
+  sources:
+  - []

.wordlist.txt

@@ -26,6 +26,7 @@ ASm
 ATI
 AddressSanitizer
 AlexNet
+Andrej
 Arb
 Autocast
 BARs
@@ -107,6 +108,7 @@ FFT
 FFTs
 FFmpeg
 FHS
+FIXME
 FMA
 FP
 FX
@@ -131,6 +133,7 @@ GiB
 GIM
 GL
 GLXT
+Gloo
 GMI
 GPG
 GPR
@@ -149,6 +152,8 @@ HGX
 HIPCC
 HIPExtension
 HIPIFY
+HIPification
+HIPify
 HPC
 HPCG
 HPE
@@ -184,15 +189,17 @@ Interop
 Intersphinx
 Intra
 Ioffe
+JAX's
 Jinja
 JSON
 Jupyter
 KFD
 KFDTest
-KiB
 KMD
 KV
 KVM
+Karpathy's
+KiB
 Keras
 Khronos
 LAPACK
@@ -243,6 +250,8 @@ MyEnvironment
 MyST
 NBIO
 NBIOs
+NCCL
+NCF
 NIC
 NICs
 NLI
@@ -284,6 +293,7 @@ OpenVX
 OpenXLA
 Oversubscription
 PagedAttention
+Pallas
 PCC
 PCI
 PCIe
@@ -401,9 +411,14 @@ TensorFlow
 TensorParallel
 ToC
 TorchAudio
+torchaudio
+TorchElastic
 TorchMIGraphX
+torchrec
 TorchScript
 TorchServe
+torchserve
+torchtext
 TorchVision
 TransferBench
 TrapStatus
@@ -510,6 +525,9 @@ copyable
 cpp
 csn
 cuBLAS
+cuda
+cuDNN
+cudnn
 cuFFT
 cuLIB
 cuRAND
@@ -623,6 +641,7 @@ jax
 kdb
 kfd
 kv
+lang
 latencies
 len
 libfabric
@@ -650,6 +669,7 @@ mutex
 mvffr
 namespace
 namespaces
+nanoGPT
 num
 numref
 ocl
@@ -661,7 +681,9 @@ optimizers
 os
 oversubscription
 pageable
+pallas
 parallelization
+parallelizing
 parameterization
 passthrough
 perfcounter
@@ -674,6 +696,7 @@ prebuilt
 precompiled
 preconditioner
 preconfigured
+preemptible
 prefetch
 prefetchable
 prefill
@@ -690,6 +713,8 @@ profilers
 protobuf
 pseudorandom
 py
+recommender
+recommenders
 quantile
 quantizer
 quasirandom
@@ -747,6 +772,7 @@ runtimes
 sL
 scalability
 scalable
+scipy
 seealso
 sendmsg
 seqs
@@ -771,6 +797,7 @@ submodules
 supercomputing
 symlink
 symlinks
+sys
 td
 tensorfloat
 th

LICENSE

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

README.md

@@ -50,7 +50,8 @@ The following example shows how to use the repo tool to download the ROCm source
 ```bash
 mkdir -p ~/ROCm/
 cd ~/ROCm/
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.3.x
+export ROCM_VERSION=6.3.1
+~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.3.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
 ~/bin/repo sync
 ```
 
@@ -77,7 +78,7 @@ The Build time will reduce significantly if we limit the GPU Architecture/s agai
 mkdir -p ~/WORKSPACE/      # Or any folder name other than WORKSPACE
 cd ~/WORKSPACE/
 export ROCM_VERSION=6.3.1
-~/bin/repo init -u http://github.com/ROCm/ROCm.git -b roc-6.3.x -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
+~/bin/repo init -u http://github.com/ROCm/ROCm.git -b develop -m tools/rocm-build/rocm-${ROCM_VERSION}.xml
 ~/bin/repo sync
 
 # --------------------------------------
@@ -87,11 +88,11 @@ export ROCM_VERSION=6.3.1
 # Option 1: Start a docker container
 # Pulling required base docker images:
 # Ubuntu20.04 built from ROCm/tools/rocm-build/docker/ubuntu20/Dockerfile
-docker pull rocm/rocm-build-ubuntu-20.04:6.2
+docker pull rocm/rocm-build-ubuntu-20.04:6.3
 # Ubuntu22.04 built from ROCm/tools/rocm-build/docker/ubuntu22/Dockerfile
-docker pull rocm/rocm-build-ubuntu-22.04:6.2
+docker pull rocm/rocm-build-ubuntu-22.04:6.3
 # Ubuntu24.04 built from ROCm/tools/rocm-build/docker/ubuntu24/Dockerfile
-docker pull rocm/rocm-build-ubuntu-24.04:6.2
+docker pull rocm/rocm-build-ubuntu-24.04:6.3
 
 # Start docker container and mount the source code folder:
 docker run -ti \

RELEASE.md

@@ -275,7 +275,7 @@ Click {fab}`github` to go to the component's source code on GitHub.
                 <th rowspan="7">System management</th>
                 <td><a href="https://rocm.docs.amd.com/projects/amdsmi/en/docs-6.3.1/index.html">AMD SMI</a></td>
                 <td>24.7.1&nbsp;&Rightarrow;&nbsp;<a href="#amd-smi-24-7-1">24.7.1</a></td>
-                <td><a href="https://github.com/ROCm/rocm-cmake"><i class="fab fa-github fa-lg"></i></a></td>
+                <td><a href="https://github.com/ROCm/amdsmi"><i class="fab fa-github fa-lg"></i></a></td>
             </tr>
             <tr>
                 <td><a href="https://rocm.docs.amd.com/projects/rdc/en/docs-6.3.1/index.html">ROCm Data Center Tool</a></td>
@@ -328,7 +328,7 @@ Click {fab}`github` to go to the component's source code on GitHub.
             </tr>
             <tr>
                 <td><a href="https://rocm.docs.amd.com/projects/rocprofiler-sdk/en/docs-6.3.1/index.html">ROCprofiler-SDK</a></td>
-                <td>0.5.0</td>
+                <td>0.5.0&nbsp;&Rightarrow;&nbsp;<a href="#rocprofiler-sdk-0-5-0">0.5.0</a></td>
                 <td><a href="https://github.com/ROCm/rocprofiler-sdk/"><i
                             class="fab fa-github fa-lg"></i></a></td>
             </tr>
@@ -505,6 +505,13 @@ See the full [AMD SMI changelog](https://github.com/ROCm/amdsmi/blob/6.3.x/CHANG
 * Fixed a minor issue for users upgrading to ROCm 6.3 from 6.2 post-rename from `omnitrace`.
   See [ROCm Compute Profiler and ROCm Systems Profiler post-upgrade issues](#rocm-compute-profiler-and-rocm-systems-profiler-post-upgrade-issues).
 
+### **ROCprofiler-SDK** (0.5.0)
+
+#### Added
+
+* SIMD_UTILIZATION metric.
+* New <a href="https://rocm.docs.amd.com/projects/rdc/en/docs-6.3.1/index.html">ROCm Data Center (RDC)</a> ops metrics.
+
 ## ROCm known issues
 
 ROCm known issues are noted on {fab}`github` [GitHub](https://github.com/ROCm/ROCm/labels/Verified%20Issue). For known

docs/about/license.md

@@ -25,15 +25,15 @@ additional licenses. Please review individual repositories for more information.
 <!-- spellcheck-disable -->
 | Component | License |
 |:---------------------|:-------------------------|
-| [AMD Compute Language Runtime (CLR)](https://github.com/ROCm/clr) | [MIT](https://github.com/ROCm/clr/blob/develop/LICENCE) |
-| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/develop/LICENSE) |
+| [AMD Compute Language Runtime (CLR)](https://github.com/ROCm/clr) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/LICENCE) |
+| [AMD SMI](https://github.com/ROCm/amdsmi) | [MIT](https://github.com/ROCm/amdsmi/blob/amd-staging/LICENSE) |
 | [aomp](https://github.com/ROCm/aomp/) | [Apache 2.0](https://github.com/ROCm/aomp/blob/aomp-dev/LICENSE) |
 | [aomp-extras](https://github.com/ROCm/aomp-extras/) | [MIT](https://github.com/ROCm/aomp-extras/blob/aomp-dev/LICENSE) |
 | [Code Object Manager (Comgr)](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/comgr) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/comgr/LICENSE.txt) |
 | [Composable Kernel](https://github.com/ROCm/composable_kernel) | [MIT](https://github.com/ROCm/composable_kernel/blob/develop/LICENSE) |
 | [half](https://github.com/ROCm/half/) | [MIT](https://github.com/ROCm/half/blob/rocm/LICENSE.txt) |
-| [HIP](https://github.com/ROCm/HIP/) | [MIT](https://github.com/ROCm/HIP/blob/develop/LICENSE.txt) |
-| [hipamd](https://github.com/ROCm/clr/tree/develop/hipamd) | [MIT](https://github.com/ROCm/clr/blob/develop/hipamd/LICENSE.txt) |
+| [HIP](https://github.com/ROCm/HIP/) | [MIT](https://github.com/ROCm/HIP/blob/amd-staging/LICENSE.txt) |
+| [hipamd](https://github.com/ROCm/clr/tree/amd-staging/hipamd) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/hipamd/LICENSE.txt) |
 | [hipBLAS](https://github.com/ROCm/hipBLAS/) | [MIT](https://github.com/ROCm/hipBLAS/blob/develop/LICENSE.md) |
 | [hipBLASLt](https://github.com/ROCm/hipBLASLt/) | [MIT](https://github.com/ROCm/hipBLASLt/blob/develop/LICENSE.md) |
 | [HIPCC](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/hipcc) | [MIT](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/hipcc/LICENSE.txt) |
@@ -58,7 +58,7 @@ additional licenses. Please review individual repositories for more information.
 | [ROCdbgapi](https://github.com/ROCm/ROCdbgapi/) | [MIT](https://github.com/ROCm/ROCdbgapi/blob/amd-staging/LICENSE.txt) |
 | [rocDecode](https://github.com/ROCm/rocDecode) | [MIT](https://github.com/ROCm/rocDecode/blob/develop/LICENSE) |
 | [rocFFT](https://github.com/ROCm/rocFFT/) | [MIT](https://github.com/ROCm/rocFFT/blob/develop/LICENSE.md) |
-| [ROCgdb](https://github.com/ROCm/ROCgdb/) | [GNU General Public License v3.0](https://github.com/ROCm/ROCgdb/blob/amd-master/COPYING3) |
+| [ROCgdb](https://github.com/ROCm/ROCgdb/) | [GNU General Public License v3.0](https://github.com/ROCm/ROCgdb/blob/amd-staging/COPYING3) |
 | [rocJPEG](https://github.com/ROCm/rocJPEG/) | [MIT](https://github.com/ROCm/rocJPEG/blob/develop/LICENSE) |
 | [ROCK-Kernel-Driver](https://github.com/ROCm/ROCK-Kernel-Driver/) | [GPL 2.0 WITH Linux-syscall-note](https://github.com/ROCm/ROCK-Kernel-Driver/blob/master/COPYING) |
 | [rocminfo](https://github.com/ROCm/rocminfo/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocminfo/blob/amd-staging/License.txt) |
@@ -67,20 +67,20 @@ additional licenses. Please review individual repositories for more information.
 | [ROCm Communication Collectives Library (RCCL)](https://github.com/ROCm/rccl/) | [Custom](https://github.com/ROCm/rccl/blob/develop/LICENSE.txt) |
 | [ROCm-Core](https://github.com/ROCm/rocm-core) | [MIT](https://github.com/ROCm/rocm-core/blob/master/copyright) |
 | [ROCm Compute Profiler](https://github.com/ROCm/rocprofiler-compute) | [MIT](https://github.com/ROCm/rocprofiler-compute/blob/amd-staging/LICENSE) |
-| [ROCm Data Center (RDC)](https://github.com/ROCm/rdc/) | [MIT](https://github.com/ROCm/rdc/blob/develop/LICENSE) |
+| [ROCm Data Center (RDC)](https://github.com/ROCm/rdc/) | [MIT](https://github.com/ROCm/rdc/blob/amd-staging/LICENSE) |
 | [ROCm-Device-Libs](https://github.com/ROCm/llvm-project/tree/amd-staging/amd/device-libs) | [The University of Illinois/NCSA](https://github.com/ROCm/llvm-project/blob/amd-staging/amd/device-libs/LICENSE.TXT) |
-| [ROCm-OpenCL-Runtime](https://github.com/ROCm/clr/tree/develop/opencl) | [MIT](https://github.com/ROCm/clr/blob/develop/opencl/LICENSE.txt) |
+| [ROCm-OpenCL-Runtime](https://github.com/ROCm/clr/tree/amd-staging/opencl) | [MIT](https://github.com/ROCm/clr/blob/amd-staging/opencl/LICENSE.txt) |
 | [ROCm Performance Primitives (RPP)](https://github.com/ROCm/rpp) | [MIT](https://github.com/ROCm/rpp/blob/develop/LICENSE) |
-| [ROCm SMI Lib](https://github.com/ROCm/rocm_smi_lib/) | [MIT](https://github.com/ROCm/rocm_smi_lib/blob/develop/License.txt) |
+| [ROCm SMI Lib](https://github.com/ROCm/rocm_smi_lib/) | [MIT](https://github.com/ROCm/rocm_smi_lib/blob/amd-staging/License.txt) |
 | [ROCm Systems Profiler](https://github.com/ROCm/rocprofiler-systems) | [MIT](https://github.com/ROCm/rocprofiler-systems/blob/amd-staging/LICENSE) |
 | [ROCm Validation Suite](https://github.com/ROCm/ROCmValidationSuite/) | [MIT](https://github.com/ROCm/ROCmValidationSuite/blob/master/LICENSE) |
 | [rocPRIM](https://github.com/ROCm/rocPRIM/) | [MIT](https://github.com/ROCm/rocPRIM/blob/develop/LICENSE.txt) |
-| [ROCProfiler](https://github.com/ROCm/rocprofiler/) | [MIT](https://github.com/ROCm/rocprofiler/blob/amd-master/LICENSE) |
+| [ROCProfiler](https://github.com/ROCm/rocprofiler/) | [MIT](https://github.com/ROCm/rocprofiler/blob/amd-staging/LICENSE) |
 | [ROCprofiler-SDK](https://github.com/ROCm/rocprofiler-sdk) | [MIT](https://github.com/ROCm/rocprofiler-sdk/blob/amd-mainline/LICENSE) |
 | [rocPyDecode](https://github.com/ROCm/rocPyDecode) | [MIT](https://github.com/ROCm/rocPyDecode/blob/develop/LICENSE) |
 | [rocRAND](https://github.com/ROCm/rocRAND/) | [MIT](https://github.com/ROCm/rocRAND/blob/develop/LICENSE.txt) |
 | [ROCr Debug Agent](https://github.com/ROCm/rocr_debug_agent/) | [The University of Illinois/NCSA](https://github.com/ROCm/rocr_debug_agent/blob/amd-staging/LICENSE.txt) |
-| [ROCR-Runtime](https://github.com/ROCm/ROCR-Runtime/) | [The University of Illinois/NCSA](https://github.com/ROCm/ROCR-Runtime/blob/master/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) |
 | [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) |
@@ -99,7 +99,7 @@ repositories to distinguish from open sourced packages.
 The following additional terms and conditions apply to your use of ROCm technical documentation.
 ```
 
-©2023 - 2024 Advanced Micro Devices, Inc. All rights reserved.
+©2023 - 2025 Advanced Micro Devices, Inc. All rights reserved.
 
 The information presented in this document is for informational purposes only
 and may contain technical inaccuracies, omissions, and typographical errors. The

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

@@ -22,9 +22,9 @@ ROCm Version,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.
       ,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908,gfx908
       ,,,,,,,,,,,
       FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix-past-60:,,,,,,,,,,
-      :doc:`PyTorch <rocm-install-on-linux:install/3rd-party/pytorch-install>`,"2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
-      :doc:`TensorFlow <rocm-install-on-linux:install/3rd-party/tensorflow-install>`,"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","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
-      :doc:`JAX <rocm-install-on-linux:install/3rd-party/jax-install>`,0.4.35,0.4.35,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13","2.1, 2.0, 1.13"
+      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.16.1, 2.15.1, 2.14.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.15.0, 2.14.0, 2.13.1","2.14.0, 2.13.1, 2.12.1","2.14.0, 2.13.1, 2.12.1"
+      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.31,0.4.31,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26,0.4.26
       `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.17.3,1.14.1,1.14.1
       ,,,,,,,,,,,
       THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix-past-60:,,,,,,,,,,
@@ -71,7 +71,7 @@ ROCm Version,6.3.1,6.3.0,6.2.4,6.2.2,6.2.1,6.2.0, 6.1.2, 6.1.1, 6.1.0, 6.0.2, 6.
       :doc:`rocSOLVER <rocsolver:index>`,3.27.0,3.27.0,3.26.2,3.26.0,3.26.0,3.26.0,3.25.0,3.25.0,3.25.0,3.24.0,3.24.0
       :doc:`rocSPARSE <rocsparse:index>`,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.2,3.1.2,3.1.2,3.0.2,3.0.2
       :doc:`rocWMMA <rocwmma:index>`,1.6.0,1.6.0,1.5.0,1.5.0,1.5.0,1.5.0,1.4.0,1.4.0,1.4.0,1.3.0,1.3.0
-      :doc:`Tensile <tensile:index>`,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
+      :doc:`Tensile <tensile:src/index>`,4.42.0,4.42.0,4.41.0,4.41.0,4.41.0,4.41.0,4.40.0,4.40.0,4.40.0,4.39.0,4.39.0
       ,,,,,,,,,,,
       PRIMITIVES,.. _primitivelibs-support-compatibility-matrix-past-60:,,,,,,,,,,
       :doc:`hipCUB <hipcub:index>`,3.3.0,3.3.0,3.2.1,3.2.0,3.2.0,3.2.0,3.1.0,3.1.0,3.1.0,3.0.0,3.0.0

docs/compatibility/compatibility-matrix.rst

@@ -47,9 +47,9 @@ compatibility and system requirements.
       ,gfx908,gfx908,gfx908
       ,,,
       FRAMEWORK SUPPORT,.. _framework-support-compatibility-matrix:,,
-      :doc:`PyTorch <rocm-install-on-linux:install/3rd-party/pytorch-install>`,"2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13"
-      :doc:`TensorFlow <rocm-install-on-linux:install/3rd-party/tensorflow-install>`,"2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1"
-      :doc:`JAX <rocm-install-on-linux:install/3rd-party/jax-install>`,0.4.35,0.4.35,0.4.26
+      :doc:`PyTorch <../compatibility/ml-compatibility/pytorch-compatibility>`,"2.4, 2.3, 2.2, 1.13","2.4, 2.3, 2.2, 2.1, 2.0, 1.13","2.3, 2.2, 2.1, 2.0, 1.13"
+      :doc:`TensorFlow <../compatibility/ml-compatibility/tensorflow-compatibility>`,"2.17.0, 2.16.2, 2.15.1","2.17.0, 2.16.2, 2.15.1","2.16.1, 2.15.1, 2.14.1"
+      :doc:`JAX <../compatibility/ml-compatibility/jax-compatibility>`,0.4.31,0.4.31,0.4.26
       `ONNX Runtime <https://onnxruntime.ai/docs/build/eps.html#amd-migraphx>`_,1.17.3,1.17.3,1.17.3
       ,,,
       THIRD PARTY COMMS,.. _thirdpartycomms-support-compatibility-matrix:,,
@@ -94,7 +94,7 @@ compatibility and system requirements.
       :doc:`rocSOLVER <rocsolver:index>`,3.27.0,3.27.0,3.26.0
       :doc:`rocSPARSE <rocsparse:index>`,3.3.0,3.3.0,3.2.0
       :doc:`rocWMMA <rocwmma:index>`,1.6.0,1.6.0,1.5.0
-      :doc:`Tensile <tensile:index>`,4.42.0,4.42.0,4.41.0
+      :doc:`Tensile <tensile:src/index>`,4.42.0,4.42.0,4.41.0
       ,,,
       PRIMITIVES,.. _primitivelibs-support-compatibility-matrix:,,
       :doc:`hipCUB <hipcub:index>`,3.3.0,3.3.0,3.2.0
@@ -158,7 +158,7 @@ Operating systems and kernel versions
 
 Use this lookup table to confirm which operating system and kernel versions are supported with ROCm.
 
-.. csv-table:: 
+.. csv-table::
    :header: "OS", "Version", "Kernel"
    :widths: 40, 20, 40
    :stub-columns: 1
@@ -169,11 +169,11 @@ Use this lookup table to confirm which operating system and kernel versions are
    `Ubuntu <https://ubuntu.com/about/release-cycle#ubuntu-kernel-release-cycle>`_, 22.04.5, "5.15 GA, 6.8 HWE"
    , 22.04.4, "5.15 GA, 6.5 HWE"
    ,,
-   `Red Hat Enterprise Linux (RHEL) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.5, 5.14.0
+   `Red Hat Enterprise Linux (RHEL 9) <https://access.redhat.com/articles/3078#RHEL9>`_, 9.5, 5.14.0
    ,9.4, 5.14.0
    ,9.3, 5.14.0
    ,,
-   `Red Hat Enterprise Linux (RHEL) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0
+   `Red Hat Enterprise Linux (RHEL 8) <https://access.redhat.com/articles/3078#RHEL8>`_, 8.10, 4.18.0
    ,8.9, 4.18.0
    ,,
    `SUSE Linux Enterprise Server (SLES) <https://www.suse.com/support/kb/doc/?id=000019587#SLE15SP4>`_, 15 SP6, 6.4.0
@@ -185,9 +185,9 @@ Use this lookup table to confirm which operating system and kernel versions are
    `Debian <https://www.debian.org/download>`_,12, 6.1
 
 ..
-   Footnotes and ref anchors in below historical tables should be appended with "-past-60", to differentiate from the 
+   Footnotes and ref anchors in below historical tables should be appended with "-past-60", to differentiate from the
    footnote references in the above, latest, compatibility matrix.  It also allows to easily find & replace.
-   An easy way to work is to download the historical.CSV file, and update open it in excel. Then when content is ready, 
+   An easy way to work is to download the historical.CSV file, and update open it in excel. Then when content is ready,
    delete the columns you don't need, to build the current compatibility matrix to use in above table.  Find & replace all
    instances of "-past-60" to make it ready for above table.
 

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

@@ -0,0 +1,665 @@
+:orphan:
+
+.. meta::
+   :description: JAX compatibility
+   :keywords: GPU, JAX compatibility
+
+*******************************************************************************
+JAX compatibility
+*******************************************************************************
+
+JAX provides a NumPy-like API, which combines automatic differentiation and the
+Accelerated Linear Algebra (XLA) compiler to achieve high-performance machine
+learning at scale.
+
+JAX uses composable transformations of Python and NumPy through just-in-time (JIT) compilation,
+automatic vectorization, and parallelization. To learn about JAX, including profiling and
+optimizations, see the official `JAX documentation
+<https://jax.readthedocs.io/en/latest/notebooks/quickstart.html>`_.
+
+ROCm support for JAX is upstreamed and users can build the official source code with ROCm
+support:
+
+- ROCm JAX release:
+
+  - Offers AMD-validated and community :ref:`Docker images <jax-docker-compat>` with ROCm and JAX pre-installed.
+
+  - ROCm JAX repository: `ROCm/jax <https://github.com/ROCm/jax>`_
+
+  - See the :doc:`ROCm JAX installation guide <rocm-install-on-linux:install/3rd-party/jax-install>`
+    to get started.
+
+- Official JAX release:
+
+  - Official JAX repository: `jax-ml/jax <https://github.com/jax-ml/jax>`_
+
+  - See the `AMD GPU (Linux) installation section
+    <https://jax.readthedocs.io/en/latest/installation.html#amd-gpu-linux>`_ in the JAX
+    documentation.
+
+.. note::
+
+   AMD releases official `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
+   quarterly alongside new ROCm releases. These images undergo full AMD testing.
+   `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
+   follow upstream JAX releases and use the latest available ROCm version.
+
+.. _jax-docker-compat:
+
+Docker image compatibility
+================================================================================
+
+.. |docker-icon| raw:: html
+
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes ready-made `ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax>`_
+with ROCm backends on Docker Hub. The following Docker image tags and
+associated inventories are validated for
+`ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. Click the |docker-icon|
+icon to view the image on Docker Hub.
+
+.. list-table:: JAX Docker image components
+    :header-rows: 1
+
+    * - Docker image
+      - JAX
+      - Linux
+      - Python
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.3.1-jax0.4.31-py3.12/images/sha256-085a0cd5207110922f1fca684933a9359c66d42db6c5aba4760ed5214fdabde0"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
+
+      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
+      - Ubuntu 24.04
+      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax/rocm6.3.1-jax0.4.31-py3.10/images/sha256-f88eddad8f47856d8640b694da4da347ffc1750d7363175ab7dc872e82b43324"><i class="fab fa-docker fa-lg"></i> rocm/jax</a>
+
+      - `0.4.31 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.31>`_
+      - Ubuntu 22.04
+      - `3.10.14 <https://www.python.org/downloads/release/python-31014/>`_
+
+AMD publishes `Community ROCm JAX Docker images <https://hub.docker.com/r/rocm/jax-community>`_
+with ROCm backends on Docker Hub. The following Docker image tags and
+associated inventories are tested for `ROCm 6.2.4 <https://repo.radeon.com/rocm/apt/6.2.4/>`_.
+
+.. list-table:: JAX community Docker image components
+    :header-rows: 1
+
+    * - Docker image
+      - JAX
+      - Linux
+      - Python
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.12.7/images/sha256-a6032d89c07573b84c44e42c637bf9752b1b7cd2a222d39344e603d8f4c63beb?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - Ubuntu 22.04
+      - `3.12.7 <https://www.python.org/downloads/release/python-3127/>`_
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.11.10/images/sha256-d462f7e445545fba2f3b92234a21beaa52fe6c5f550faabcfdcd1bf53486d991?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - Ubuntu 22.04
+      - `3.11.10 <https://www.python.org/downloads/release/python-31110/>`_
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/jax-community/rocm6.2.4-jax0.4.35-py3.10.15/images/sha256-6f2d4d0f529378d9572f0e8cfdcbc101d1e1d335bd626bb3336fff87814e9d60?context=explore"><i class="fab fa-docker fa-lg"></i> rocm/jax-community</a>
+
+      - `0.4.35 <https://github.com/ROCm/jax/releases/tag/rocm-jax-v0.4.35>`_
+      - Ubuntu 22.04
+      - `3.10.15 <https://www.python.org/downloads/release/python-31015/>`_
+
+Critical ROCm libraries for JAX
+================================================================================
+
+The functionality of JAX with ROCm is determined by its underlying library
+dependencies. These critical ROCm components affect the capabilities,
+performance, and feature set available to developers.
+
+.. list-table::
+    :header-rows: 1
+
+    * - ROCm library
+      - Version
+      - Purpose
+      - Used in
+    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
+      - 2.3.0
+      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
+        matrix and vector operations.
+      - Matrix multiplication in ``jax.numpy.matmul``, ``jax.lax.dot`` and
+        ``jax.lax.dot_general``, operations like ``jax.numpy.dot``, which
+        involve vector and matrix computations and batch matrix multiplications
+        ``jax.numpy.einsum`` with matrix-multiplication patterns algebra
+        operations.
+    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
+      - 0.10.0
+      - hipBLASLt is an extension of hipBLAS, providing additional
+        features like epilogues fused into the matrix multiplication kernel or
+        use of integer tensor cores.
+      - Matrix multiplication in ``jax.numpy.matmul`` or ``jax.lax.dot``, and
+        the XLA (Accelerated Linear Algebra) use hipBLASLt for optimized matrix
+        operations, mixed-precision support, and hardware-specific
+        optimizations.
+    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms for reduction,
+        scan, sort and select.
+      - Reduction functions (``jax.numpy.sum``, ``jax.numpy.mean``,
+        ``jax.numpy.prod``, ``jax.numpy.max`` and ``jax.numpy.min``), prefix sum
+        (``jax.numpy.cumsum``, ``jax.numpy.cumprod``) and sorting
+        (``jax.numpy.sort``, ``jax.numpy.argsort``).
+    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
+      - 1.0.17
+      - Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
+      - Used in functions like ``jax.numpy.fft``.
+    * - `hipRAND <https://github.com/ROCm/hipRAND>`_
+      - 2.11.0
+      - Provides fast random number generation for GPUs.
+      - The ``jax.random.uniform``, ``jax.random.normal``,
+        ``jax.random.randint`` and ``jax.random.split``.
+    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
+      - 2.3.0
+      - Provides GPU-accelerated solvers for linear systems, eigenvalues, and
+        singular value decompositions (SVD).
+      - Solving linear systems (``jax.numpy.linalg.solve``), matrix
+        factorizations, SVD (``jax.numpy.linalg.svd``) and eigenvalue problems
+        (``jax.numpy.linalg.eig``).
+    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
+      - 3.1.2
+      - Accelerates operations on sparse matrices, such as sparse matrix-vector
+        or matrix-matrix products.
+      - Sparse matrix multiplication (``jax.numpy.matmul``), sparse
+        matrix-vector and matrix-matrix products
+        (``jax.experimental.sparse.dot``), sparse linear system solvers and
+        sparse data handling.
+    * - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
+      - 0.2.2
+      - Accelerates operations on sparse matrices, such as sparse matrix-vector
+        or matrix-matrix products.
+      - Sparse matrix multiplication (``jax.numpy.matmul``), sparse
+        matrix-vector and matrix-matrix products
+        (``jax.experimental.sparse.dot``) and sparse linear system solvers.
+    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
+      - 3.3.0
+      - Optimized for deep learning primitives such as convolutions, pooling,
+        normalization, and activation functions.
+      - Speeds up convolutional neural networks (CNNs), recurrent neural
+        networks (RNNs), and other layers. Used in operations like
+        ``jax.nn.conv``, ``jax.nn.relu``, and ``jax.nn.batch_norm``.
+    * - `RCCL <https://github.com/ROCm/rccl>`_
+      - 2.21.5
+      - Optimized for multi-GPU communication for operations like  all-reduce,
+        broadcast, and scatter.
+      - Distribute computations across multiple GPU with ``pmap`` and
+        ``jax.distributed``. XLA automatically uses rccl when executing
+        operations across multiple GPUs on AMD hardware.
+    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms like sorting,
+        reduction, and scanning.
+      - Reduction operations like ``jax.numpy.sum``, ``jax.pmap`` for
+        distributed training, which involves parallel reductions or
+        operations like ``jax.numpy.cumsum`` can use rocThrust.
+
+Supported and unsupported features
+===============================================================================
+
+The following table maps GPU-accelerated JAX modules to their supported
+ROCm and JAX versions.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Description
+      - Since JAX
+      - Since ROCm
+    * - ``jax.numpy``
+      - Implements the NumPy API, using the primitives in ``jax.lax``.
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy``
+      - Provides GPU-accelerated and differentiable implementations of many
+        functions from the SciPy library, leveraging JAX's transformations
+        (e.g., ``grad``, ``jit``, ``vmap``).
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.lax``
+      - A library of primitives operations that underpins libraries such as
+        ``jax.numpy.`` Transformation rules, such as Jacobian-vector product
+        (JVP) and batching rules, are typically defined as transformations on
+        ``jax.lax`` primitives.
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.random``
+      - Provides a number of routines for deterministic generation of sequences
+        of pseudorandom numbers.
+      - 0.1.58
+      - 5.0.0
+    * - ``jax.sharding``
+      - Allows to define partitioning and distributing arrays across multiple
+        devices.
+      - 0.3.20
+      - 5.1.0
+    * - ``jax.dlpack``
+      - For exchanging tensor data between JAX and other libraries that support the
+        DLPack standard.
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.distributed``
+      - Enables the scaling of computations across multiple devices on a single
+        machine or across multiple machines.
+      - 0.1.74
+      - 5.0.0
+    * - ``jax.dtypes``
+      - Provides utilities for working with and managing data types in JAX
+        arrays and computations.
+      - 0.1.66
+      - 5.0.0
+    * - ``jax.image``
+      - Contains image manipulation functions like resize, scale and translation.
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.nn``
+      - Contains common functions for neural network libraries.
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.ops``
+      - Computes the minimum, maximum, sum or product within segments of an
+        array.
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.profiler``
+      - Contains JAX’s tracing and time profiling features.
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.stages``
+      - Contains interfaces to stages of the compiled execution process.
+      - 0.3.4
+      - 5.0.0
+    * - ``jax.tree``
+      - Provides utilities for working with tree-like container data structures.
+      - 0.4.26
+      - 5.6.0
+    * - ``jax.tree_util``
+      - Provides utilities for working with nested data structures, or
+        ``pytrees``.
+      - 0.1.65
+      - 5.0.0
+    * - ``jax.typing``
+      - Provides JAX-specific static type annotations.
+      - 0.3.18
+      - 5.1.0
+    * - ``jax.extend``
+      - Provides modules for access to JAX internal machinery module. The
+        ``jax.extend`` module defines a library view of some of JAX’s internal
+        components.
+      - 0.4.15
+      - 5.5.0
+    * - ``jax.example_libraries``
+      - Serves as a collection of example code and libraries that demonstrate
+        various capabilities of JAX.
+      - 0.1.74
+      - 5.0.0
+    * - ``jax.experimental``
+      - Namespace for experimental features and APIs that are in development or
+        are not yet fully stable for production use.
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.lib``
+      - Set of internal tools and types for bridging between JAX’s Python
+        frontend and its XLA backend.
+      - 0.4.6
+      - 5.3.0
+    * - ``jax_triton``
+      - Library that integrates the Triton deep learning compiler with JAX.
+      - jax_triton 0.2.0
+      - 6.2.4
+
+jax.scipy module
+-------------------------------------------------------------------------------
+
+A SciPy-like API for scientific computing.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Since JAX
+      - Since ROCm
+    * - ``jax.scipy.cluster``
+      - 0.3.11
+      - 5.1.0
+    * - ``jax.scipy.fft``
+      - 0.1.71
+      - 5.0.0
+    * - ``jax.scipy.integrate``
+      - 0.4.15
+      - 5.5.0
+    * - ``jax.scipy.interpolate``
+      - 0.1.76
+      - 5.0.0
+    * - ``jax.scipy.linalg``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy.ndimage``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy.optimize``
+      - 0.1.57
+      - 5.0.0
+    * - ``jax.scipy.signal``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy.spatial.transform``
+      - 0.4.12
+      - 5.4.0
+    * - ``jax.scipy.sparse.linalg``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy.special``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.scipy.stats``
+      - 0.1.56
+      - 5.0.0
+
+jax.scipy.stats module
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. list-table::
+   :header-rows: 1
+
+   * - Module
+     - Since JAX
+     - Since ROCm
+   * - ``jax.scipy.stats.bernouli``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.beta``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.betabinom``
+     - 0.1.61
+     - 5.0.0
+   * - ``jax.scipy.stats.binom``
+     - 0.4.14
+     - 5.4.0
+   * - ``jax.scipy.stats.cauchy``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.chi2``
+     - 0.1.61
+     - 5.0.0
+   * - ``jax.scipy.stats.dirichlet``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.expon``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.gamma``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.gennorm``
+     - 0.3.15
+     - 5.2.0
+   * - ``jax.scipy.stats.geom``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.laplace``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.logistic``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.multinomial``
+     - 0.3.18
+     - 5.1.0
+   * - ``jax.scipy.stats.multivariate_normal``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.nbinom``
+     - 0.1.72
+     - 5.0.0
+   * - ``jax.scipy.stats.norm``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.pareto``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.poisson``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.t``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.truncnorm``
+     - 0.4.0
+     - 5.3.0
+   * - ``jax.scipy.stats.uniform``
+     - 0.1.56
+     - 5.0.0
+   * - ``jax.scipy.stats.vonmises``
+     - 0.4.2
+     - 5.3.0
+   * - ``jax.scipy.stats.wrapcauchy``
+     - 0.4.20
+     - 5.6.0
+
+jax.extend module
+-------------------------------------------------------------------------------
+
+Modules for JAX extensions.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Since JAX
+      - Since ROCm
+    * - ``jax.extend.ffi``
+      - 0.4.30
+      - 6.0.0
+    * - ``jax.extend.linear_util``
+      - 0.4.17
+      - 5.6.0
+    * - ``jax.extend.mlir``
+      - 0.4.26
+      - 5.6.0
+    * - ``jax.extend.random``
+      - 0.4.15
+      - 5.5.0
+
+jax.experimental module
+-------------------------------------------------------------------------------
+
+Experimental modules and APIs.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Since JAX
+      - Since ROCm
+    * - ``jax.experimental.checkify``
+      - 0.1.75
+      - 5.0.0
+    * - ``jax.experimental.compilation_cache.compilation_cache``
+      - 0.1.68
+      - 5.0.0
+    * - ``jax.experimental.custom_partitioning``
+      - 0.4.0
+      - 5.3.0
+    * - ``jax.experimental.jet``
+      - 0.1.56
+      - 5.0.0
+    * - ``jax.experimental.key_reuse``
+      - 0.4.26
+      - 5.6.0
+    * - ``jax.experimental.mesh_utils``
+      - 0.1.76
+      - 5.0.0
+    * - ``jax.experimental.multihost_utils``
+      - 0.3.2
+      - 5.0.0
+    * - ``jax.experimental.pallas``
+      - 0.4.15
+      - 5.5.0
+    * - ``jax.experimental.pjit``
+      - 0.1.61
+      - 5.0.0
+    * - ``jax.experimental.serialize_executable``
+      - 0.4.0
+      - 5.3.0
+    * - ``jax.experimental.shard_map``
+      - 0.4.3
+      - 5.3.0
+    * - ``jax.experimental.sparse``
+      - 0.1.75
+      - 5.0.0
+
+.. list-table::
+    :header-rows: 1
+
+    * - API
+      - Since JAX
+      - Since ROCm
+    * - ``jax.experimental.enable_x64``
+      - 0.1.60
+      - 5.0.0
+    * - ``jax.experimental.disable_x64``
+      - 0.1.60
+      - 5.0.0
+
+jax.experimental.pallas module
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Module for Pallas, a JAX extension for custom kernels.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Since JAX
+      - Since ROCm
+    * - ``jax.experimental.pallas.mosaic_gpu``
+      - 0.4.31
+      - 6.1.3
+    * - ``jax.experimental.pallas.tpu``
+      - 0.4.15
+      - 5.5.0
+    * - ``jax.experimental.pallas.triton``
+      - 0.4.32
+      - 6.1.3
+
+jax.experimental.sparse module
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Experimental support for sparse matrix operations.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Since JAX
+      - Since ROCm
+    * - ``jax.experimental.sparse.linalg``
+      - 0.3.15
+      - 5.2.0
+    * - ``jax.experimental.sparse.sparsify``
+      - 0.3.25
+      - ❌
+
+.. list-table::
+    :header-rows: 1
+
+    * - ``sparse`` data structure API
+      - Since JAX
+      - Since ROCm
+    * - ``jax.experimental.sparse.BCOO``
+      - 0.1.72
+      - 5.0.0
+    * - ``jax.experimental.sparse.BCSR``
+      - 0.3.20
+      - 5.1.0
+    * - ``jax.experimental.sparse.CSR``
+      - 0.1.75
+      - 5.0.0
+    * - ``jax.experimental.sparse.NM``
+      - 0.4.27
+      - 5.6.0
+    * - ``jax.experimental.sparse.COO``
+      - 0.1.75
+      - 5.0.0
+
+Unsupported JAX features
+------------------------
+
+The following are GPU-accelerated JAX features not currently supported by
+ROCm.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since JAX
+    * - Mixed Precision with TF32
+      - Mixed precision with TF32 is used for matrix multiplications,
+        convolutions, and other linear algebra operations, particularly in
+        deep learning workloads like CNNs and transformers.
+      - 0.2.25
+    * - RNN support
+      - Currently only LSTM with double bias is supported with float32 input
+        and weight.
+      - 0.3.25
+    * - XLA int4 support
+      - 4-bit integer (int4) precision in the XLA compiler.
+      - 0.4.0
+    * - ``jax.experimental.sparsify``
+      - Converts a dense matrix to a sparse matrix representation.
+      - Experimental
+
+Use cases and recommendations
+================================================================================
+
+* The `nanoGPT in JAX <https://rocm.blogs.amd.com/artificial-intelligence/nanoGPT-JAX/README.html>`_
+  blog explores the implementation and training of a Generative Pre-trained
+  Transformer (GPT) model in JAX, inspired by Andrej Karpathy’s PyTorch-based
+  nanoGPT. By comparing how essential GPT components—such as self-attention
+  mechanisms and optimizers—are realized in PyTorch and JAX, also highlight
+  JAX’s unique features.
+
+* The `Optimize GPT Training: Enabling Mixed Precision Training in JAX using
+  ROCm on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-mixed-precision/README.html>`_
+  blog post provides a comprehensive guide on enhancing the training efficiency
+  of GPT models by implementing mixed precision techniques in JAX, specifically
+  tailored for AMD GPUs utilizing the ROCm platform.
+
+* The `Supercharging JAX with Triton Kernels on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/jax-triton/README.html>`_
+  blog demonstrates how to develop a custom fused dropout-activation kernel for
+  matrices using Triton, integrate it with JAX, and benchmark its performance
+  using ROCm.
+
+* The `Distributed fine-tuning with JAX on AMD GPUs <https://rocm.blogs.amd.com/artificial-intelligence/distributed-sft-jax/README.html>`_
+  outlines the process of fine-tuning a Bidirectional Encoder Representations
+  from Transformers (BERT)-based large language model (LLM) using JAX for a text
+  classification task. The blog post discuss techniques for parallelizing the
+  fine-tuning across multiple AMD GPUs and assess the model's performance on a
+  holdout dataset. During the fine-tuning, a BERT-base-cased transformer model
+  and the General Language Understanding Evaluation (GLUE) benchmark dataset was
+  used on a multi-GPU setup.
+
+* The `MI300X workload optimization guide <https://rocm.docs.amd.com/en/latest/how-to/tuning-guides/mi300x/workload.html>`_
+  provides detailed guidance on optimizing workloads for the AMD Instinct MI300X
+  accelerator using ROCm. The page is aimed at helping users achieve optimal
+  performance for deep learning and other high-performance computing tasks on
+  the MI300X GPU.
+
+For more use cases and recommendations, see `ROCm JAX blog posts <https://rocm.blogs.amd.com/blog/tag/jax.html>`_.

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

@@ -0,0 +1,924 @@
+:orphan:
+
+.. meta::
+    :description: PyTorch compatibility
+    :keywords: GPU, PyTorch compatibility
+
+********************************************************************************
+PyTorch compatibility
+********************************************************************************
+
+`PyTorch <https://pytorch.org/>`_ is an open-source tensor library designed for
+deep learning. PyTorch on ROCm provides mixed-precision and large-scale training
+using `MIOpen <https://github.com/ROCm/MIOpen>`_ and
+`RCCL <https://github.com/ROCm/rccl>`_ libraries.
+
+ROCm support for PyTorch is upstreamed into the official PyTorch repository. Due
+to independent compatibility considerations, this results in two distinct
+release cycles for PyTorch on ROCm:
+
+- ROCm PyTorch release:
+
+  - Provides the latest version of ROCm but doesn't immediately support the latest stable PyTorch
+    version.
+
+  - Offers :ref:`Docker images <pytorch-docker-compat>` with ROCm and PyTorch
+    pre-installed.
+
+  - ROCm PyTorch repository: `<https://github.com/ROCm/pytorch>`_
+
+  - See the :doc:`ROCm PyTorch installation guide <rocm-install-on-linux:install/3rd-party/pytorch-install>` to get started.
+
+- Official PyTorch release:
+
+  - Provides the latest stable version of PyTorch but doesn't immediately support the latest ROCm version.
+
+  - Official PyTorch repository: `<https://github.com/pytorch/pytorch>`_
+
+  - See the `Nightly and latest stable version installation guide <https://pytorch.org/get-started/locally/>`_
+    or `Previous versions <https://pytorch.org/get-started/previous-versions/>`_ to get started.
+
+The upstream PyTorch includes an automatic HIPification solution that automatically generates HIP
+source code from the CUDA backend. This approach allows PyTorch to support ROCm without requiring
+manual code modifications.
+
+Development of ROCm is aligned with the stable release of PyTorch while upstream PyTorch testing uses
+the stable release of ROCm to maintain consistency.
+
+.. _pytorch-docker-compat:
+
+Docker image compatibility
+================================================================================
+
+.. |docker-icon| raw:: html
+
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes ready-made `PyTorch 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 6.3.0 <https://repo.radeon.com/rocm/apt/6.3/>`_.
+Click the |docker-icon| icon to view the image on Docker Hub.
+
+.. list-table:: PyTorch Docker image components
+    :header-rows: 1
+    :class: docker-image-compatibility
+
+    * - Docker
+      - PyTorch
+      - Ubuntu
+      - Python
+      - Apex
+      - torchvision
+      - TensorBoard
+      - MAGMA
+      - UCX
+      - OMPI
+      - OFED
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu24.04_py3.12_pytorch_release_2.4.0/images/sha256-98ddf20333bd01ff749b8092b1190ee369a75d3b8c71c2fac80ffdcb1a98d529?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - 24.04
+      - `3.12 <https://www.python.org/downloads/release/python-3128/>`_
+      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
+      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `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_ubuntu22.04_py3.10_pytorch_release_2.4.0/images/sha256-402c9b4f1a6b5a81c634a1932b56cbe01abb699cfcc7463d226276997c6cf8ea?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - 22.04
+      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
+      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `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_ubuntu22.04_py3.9_pytorch_release_2.4.0/images/sha256-e0608b55d408c3bfe5c19fdd57a4ced3e0eb3a495b74c309980b60b156c526dd?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.4.0 <https://github.com/ROCm/pytorch/tree/release/2.4>`_
+      - 22.04
+      - `3.9.18 <https://www.python.org/downloads/release/python-3918/>`_
+      - `1.4.0 <https://github.com/ROCm/apex/tree/release/1.4.0>`_
+      - `0.19.0 <https://github.com/pytorch/vision/tree/v0.19.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `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_ubuntu22.04_py3.10_pytorch_release_2.3.0/images/sha256-652cf25263d05b1de548222970aeb76e60b12de101de66751264709c0d0ff9d8?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.3.0 <https://github.com/ROCm/pytorch/tree/release/2.3>`_
+      - 22.04
+      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.3.0 <https://github.com/ROCm/apex/tree/release/1.3.0>`_
+      - `0.18.0 <https://github.com/pytorch/vision/tree/v0.18.0>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `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_ubuntu22.04_py3.10_pytorch_release_2.2.1/images/sha256-051976f26beab8f9aa65d999e3ad546c027b39240a0cc3ee81b114a9024f2912?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.2.1 <https://github.com/ROCm/pytorch/tree/release/2.2>`_
+      - 22.04
+      - `3.10 <https://www.python.org/downloads/release/python-31016/>`_
+      - `1.2.0 <https://github.com/ROCm/apex/tree/release/1.2.0>`_
+      - `0.17.1 <https://github.com/pytorch/vision/tree/v0.17.1>`_
+      - `2.13.0 <https://github.com/tensorflow/tensorboard/tree/2.13.0>`_
+      - `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_ubuntu20.04_py3.9_pytorch_release_2.2.1/images/sha256-88c839a364d109d3748c100385bfa100d28090d25118cc723fd0406390ab2f7e?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `2.2.1 <https://github.com/ROCm/pytorch/tree/release/2.2>`_
+      - 20.04
+      - `3.9.21 <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>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu22.04_py3.9_pytorch_release_1.13.1/images/sha256-994424ed07a63113f79dd9aa72159124c00f5fbfe18127151e6658f7d0b6f821?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
+      - 22.04
+      - `3.9.21 <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/>`_
+      - `1.14.1 <https://github.com/openucx/ucx/tree/v1.14.1>`_
+      - `4.1.5 <https://github.com/open-mpi/ompi/tree/v4.1.5>`_
+      - `5.3-1.0.5.0 <https://content.mellanox.com/ofed/MLNX_OFED-5.3-1.0.5.0/MLNX_OFED_LINUX-5.3-1.0.5.0-ubuntu20.04-x86_64.tgz>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/pytorch/rocm6.3_ubuntu20.04_py3.9_pytorch_release_1.13.1/images/sha256-7b8139fe40a9aeb4bca3aecd15c22c1fa96e867d93479fa3a24fdeeeeafa1219?context=explore"><i class="fab fa-docker fa-lg"></i></a>
+
+      - `1.13.1 <https://github.com/ROCm/pytorch/tree/release/1.13>`_
+      - 20.04
+      - `3.9.21 <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>`_
+
+Critical ROCm libraries for PyTorch
+================================================================================
+
+The functionality of PyTorch with ROCm is determined by its underlying library
+dependencies. These critical ROCm components affect the capabilities,
+performance, and feature set available to developers.
+
+.. list-table::
+    :header-rows: 1
+
+    * - ROCm library
+      - Version
+      - Purpose
+      - Used in
+    * - `Composable Kernel <https://github.com/ROCm/composable_kernel>`_
+      - 1.1.0
+      - Enables faster execution of core operations like matrix multiplication
+        (GEMM), convolutions and transformations.
+      - Speeds up ``torch.permute``, ``torch.view``, ``torch.matmul``,
+        ``torch.mm``, ``torch.bmm``, ``torch.nn.Conv2d``, ``torch.nn.Conv3d``
+        and ``torch.nn.MultiheadAttention``.
+    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
+      - 2.3.0
+      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
+        matrix and vector operations.
+      - Supports operations like matrix multiplication, matrix-vector products,
+        and tensor contractions. Utilized in both dense and batched linear
+        algebra operations.
+    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
+      - 0.10.0
+      - hipBLASLt is an extension of the hipBLAS library, providing additional
+        features like epilogues fused into the matrix multiplication kernel or
+        use of integer tensor cores.
+      - It accelerates operations like ``torch.matmul``, ``torch.mm``, and the
+        matrix multiplications used in convolutional and linear layers.
+    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms for reduction,
+        scan, sort and select.
+      - Supports operations like ``torch.sum``, ``torch.cumsum``, ``torch.sort``
+        and ``torch.topk``. Operations on sparse tensors or tensors with
+        irregular shapes often involve scanning, sorting, and filtering, which
+        hipCUB handles efficiently.
+    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
+      - 1.0.17
+      - Provides GPU-accelerated Fast Fourier Transform (FFT) operations.
+      - Used in functions like the ``torch.fft`` module.
+    * - `hipRAND <https://github.com/ROCm/hipRAND>`_
+      - 2.11.0
+      - Provides fast random number generation for GPUs.
+      - The ``torch.rand``, ``torch.randn`` and stochastic layers like
+        ``torch.nn.Dropout``.
+    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
+      - 2.3.0
+      - Provides GPU-accelerated solvers for linear systems, eigenvalues, and
+        singular value decompositions (SVD).
+      - Supports functions like ``torch.linalg.solve``,
+        ``torch.linalg.eig``, and ``torch.linalg.svd``.
+    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
+      - 3.1.2
+      - Accelerates operations on sparse matrices, such as sparse matrix-vector
+        or matrix-matrix products.
+      - Sparse tensor operations ``torch.sparse``.
+    * - `hipSPARSELt <https://github.com/ROCm/hipSPARSELt>`_
+      - 0.2.2
+      - Accelerates operations on sparse matrices, such as sparse matrix-vector
+        or matrix-matrix products.
+      - Sparse tensor operations ``torch.sparse``.
+    * - `hipTensor <https://github.com/ROCm/hipTensor>`_
+      - 1.4.0
+      - Optimizes for high-performance tensor operations, such as contractions.
+      - Accelerates tensor algebra, especially in deep learning and scientific
+        computing.
+    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
+      - 3.3.0
+      - Optimizes deep learning primitives such as convolutions, pooling,
+        normalization, and activation functions.
+      - Speeds up convolutional neural networks (CNNs), recurrent neural
+        networks (RNNs), and other layers. Used in operations like
+        ``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
+    * - `MIGraphX <https://github.com/ROCm/AMDMIGraphX>`_
+      - 2.11.0
+      - Adds graph-level optimizations, ONNX models and mixed precision support
+        and enable Ahead-of-Time (AOT) Compilation.
+      - Speeds up inference models and executes ONNX models for
+        compatibility with other frameworks.
+        ``torch.nn.Conv2d``, ``torch.nn.ReLU``, and ``torch.nn.LSTM``.
+    * - `MIVisionX <https://github.com/ROCm/MIVisionX>`_
+      - 3.1.0
+      - Optimizes acceleration for computer vision and AI workloads like
+        preprocessing, augmentation, and inferencing.
+      - Faster data preprocessing and augmentation pipelines for datasets like
+        ImageNet or COCO and easy to integrate into PyTorch's ``torch.utils.data``
+        and ``torchvision`` workflows.
+    * - `rocAL <https://github.com/ROCm/rocAL>`_
+      - 2.1.0
+      - Accelerates the data pipeline by offloading intensive preprocessing and
+        augmentation tasks. rocAL is part of MIVisionX.
+      - Easy to integrate into PyTorch's ``torch.utils.data`` and
+        ``torchvision`` data load workloads.
+    * - `RCCL <https://github.com/ROCm/rccl>`_
+      - 2.21.5
+      - Optimizes for multi-GPU communication for operations like AllReduce and
+        Broadcast.
+      - Distributed data parallel training (``torch.nn.parallel.DistributedDataParallel``).
+        Handles communication in multi-GPU setups.
+    * - `rocDecode <https://github.com/ROCm/rocDecode>`_
+      - 0.8.0
+      - Provides hardware-accelerated data decoding capabilities, particularly
+        for image, video, and other dataset formats.
+      - Can be integrated in ``torch.utils.data``, ``torchvision.transforms``
+        and ``torch.distributed``.
+    * - `rocJPEG <https://github.com/ROCm/rocJPEG>`_
+      - 0.6.0
+      - Provides hardware-accelerated JPEG image decoding and encoding.
+      - GPU accelerated ``torchvision.io.decode_jpeg`` and
+        ``torchvision.io.encode_jpeg`` and can be integrated in
+        ``torch.utils.data`` and ``torchvision``.
+    * - `RPP <https://github.com/ROCm/RPP>`_
+      - 1.9.1
+      - Speeds up data augmentation, transformation, and other preprocessing steps.
+      - Easy to integrate into PyTorch's ``torch.utils.data`` and
+        ``torchvision`` data load workloads.
+    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms like sorting,
+        reduction, and scanning.
+      - Utilized in backend operations for tensor computations requiring
+        parallel processing.
+    * - `rocWMMA <https://github.com/ROCm/rocWMMA>`_
+      - 1.6.0
+      - Accelerates warp-level matrix-multiply and matrix-accumulate to speed up matrix
+        multiplication (GEMM) and accumulation operations with mixed precision
+        support.
+      - Linear layers (``torch.nn.Linear``), convolutional layers
+        (``torch.nn.Conv2d``), attention layers, general tensor operations that
+        involve matrix products, such as ``torch.matmul``, ``torch.bmm``, and
+        more.
+
+Supported and unsupported features
+================================================================================
+
+The following section maps GPU-accelerated PyTorch features to their supported
+ROCm and PyTorch versions.
+
+torch
+--------------------------------------------------------------------------------
+
+`torch <https://pytorch.org/docs/stable/index.html>`_ is the central module of
+PyTorch, providing data structures for multi-dimensional tensors and
+implementing mathematical operations on them. It also includes utilities for
+efficient serialization of tensors and arbitrary data types, along with various
+other tools.
+
+Tensor data types
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The data type of a tensor is specified using the ``dtype`` attribute or argument, and PyTorch supports a wide range of data types for different use cases.
+
+The following table lists `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_'s single data types:
+
+.. list-table::
+    :header-rows: 1
+
+    * - Data type
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - ``torch.float8_e4m3fn``
+      - 8-bit floating point, e4m3
+      - 2.3
+      - 5.5
+    * - ``torch.float8_e5m2``
+      - 8-bit floating point, e5m2
+      - 2.3
+      - 5.5
+    * - ``torch.float16`` or ``torch.half``
+      - 16-bit floating point
+      - 0.1.6
+      - 2.0
+    * - ``torch.bfloat16``
+      - 16-bit floating point
+      - 1.6
+      - 2.6
+    * - ``torch.float32`` or ``torch.float``
+      - 32-bit floating point
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.float64`` or ``torch.double``
+      - 64-bit floating point
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.complex32`` or ``torch.chalf``
+      - PyTorch provides native support for 32-bit complex numbers
+      - 1.6
+      - 2.0
+    * - ``torch.complex64`` or ``torch.cfloat``
+      - PyTorch provides native support for 64-bit complex numbers
+      - 1.6
+      - 2.0
+    * - ``torch.complex128`` or ``torch.cdouble``
+      - PyTorch provides native support for 128-bit complex numbers
+      - 1.6
+      - 2.0
+    * - ``torch.uint8``
+      - 8-bit integer (unsigned)
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.uint16``
+      - 16-bit integer (unsigned)
+      - 2.3
+      - Not natively supported
+    * - ``torch.uint32``
+      - 32-bit integer (unsigned)
+      - 2.3
+      - Not natively supported
+    * - ``torch.uint64``
+      - 32-bit integer (unsigned)
+      - 2.3
+      - Not natively supported
+    * - ``torch.int8``
+      - 8-bit integer (signed)
+      - 1.12
+      - 5.0
+    * - ``torch.int16`` or ``torch.short``
+      - 16-bit integer (signed)
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.int32`` or ``torch.int``
+      - 32-bit integer (signed)
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.int64`` or ``torch.long``
+      - 64-bit integer (signed)
+      - 0.1.12_2
+      - 2.0
+    * - ``torch.bool``
+      - Boolean
+      - 1.2
+      - 2.0
+    * - ``torch.quint8``
+      - Quantized 8-bit integer (unsigned)
+      - 1.8
+      - 5.0
+    * - ``torch.qint8``
+      - Quantized 8-bit integer (signed)
+      - 1.8
+      - 5.0
+    * - ``torch.qint32``
+      - Quantized 32-bit integer (signed)
+      - 1.8
+      - 5.0
+    * - ``torch.quint4x2``
+      - Quantized 4-bit integer (unsigned)
+      - 1.8
+      - 5.0
+
+.. note::
+
+  Unsigned types aside from ``uint8`` are currently only have limited support in
+  eager mode (they primarily exist to assist usage with ``torch.compile``).
+
+  The :doc:`ROCm precision support page <rocm:reference/precision-support>`
+  collected the native HW support of different data types.
+
+torch.cuda
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+``torch.cuda`` in PyTorch is a module that provides utilities and functions for
+managing and utilizing AMD and NVIDIA GPUs. It enables GPU-accelerated
+computations, memory management, and efficient execution of tensor operations,
+leveraging ROCm and CUDA as the underlying frameworks.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - Device management
+      - Utilities for managing and interacting with GPUs.
+      - 0.4.0
+      - 3.8
+    * - Tensor operations on GPU
+      - Performs tensor operations such as addition and matrix multiplications on
+        the GPU.
+      - 0.4.0
+      - 3.8
+    * - Streams and events
+      - Streams allow overlapping computation and communication for optimized
+        performance. Events enable synchronization.
+      - 1.6.0
+      - 3.8
+    * - Memory management
+      - Functions to manage and inspect memory usage like
+        ``torch.cuda.memory_allocated()``, ``torch.cuda.max_memory_allocated()``,
+        ``torch.cuda.memory_reserved()`` and ``torch.cuda.empty_cache()``.
+      - 0.3.0
+      - 1.9.2
+    * - Running process lists of memory management
+      - Returns a human-readable printout of the running processes and their GPU
+        memory use for a given device with functions like
+        ``torch.cuda.memory_stats()`` and ``torch.cuda.memory_summary()``.
+      - 1.8.0
+      - 4.0
+    * - Communication collectives
+      - Set of APIs that enable efficient communication between multiple GPUs,
+        allowing for distributed computing and data parallelism.
+      - 1.9.0
+      - 5.0
+    * - ``torch.cuda.CUDAGraph``
+      - Graphs capture sequences of GPU operations to minimize kernel launch
+        overhead and improve performance.
+      - 1.10.0
+      - 5.3
+    * - TunableOp
+      - A mechanism that allows certain operations to be more flexible and
+        optimized for performance. It enables automatic tuning of kernel
+        configurations and other settings to achieve the best possible
+        performance based on the specific hardware (GPU) and workload.
+      - 2.0
+      - 5.4
+    * - NVIDIA Tools Extension (NVTX)
+      - Integration with NVTX for profiling and debugging GPU performance using
+        NVIDIA's Nsight tools.
+      - 1.8.0
+      - ❌
+    * - Lazy loading NVRTC
+      - Delays JIT compilation with NVRTC until the code is explicitly needed.
+      - 1.13.0
+      - ❌
+    * - Jiterator (beta)
+      - Jiterator allows asynchronous data streaming into computation streams
+        during training loops.
+      - 1.13.0
+      - 5.2
+
+.. Need to validate and extend.
+
+torch.backends.cuda
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+``torch.backends.cuda`` is a PyTorch module that provides configuration options
+and flags to control the behavior of ROCm or CUDA operations. It is part of the
+PyTorch backend configuration system, which allows users to fine-tune how
+PyTorch interacts with the ROCm or CUDA environment.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - ``cufft_plan_cache``
+      - Manages caching of GPU FFT plans to optimize repeated FFT computations.
+      - 1.7.0
+      - 5.0
+    * - ``matmul.allow_tf32``
+      - Enables or disables the use of TensorFloat-32 (TF32) precision for
+        faster matrix multiplications on GPUs with Tensor Cores.
+      - 1.10.0
+      - ❌
+    * - ``matmul.allow_fp16_reduced_precision_reduction``
+      - Reduced precision reductions (e.g., with fp16 accumulation type) are
+        allowed with fp16 GEMMs.
+      - 2.0
+      - ❌
+    * - ``matmul.allow_bf16_reduced_precision_reduction``
+      - Reduced precision reductions are allowed with bf16 GEMMs.
+      - 2.0
+      - ❌
+    * - ``enable_cudnn_sdp``
+      - Globally enables cuDNN SDPA's kernels within SDPA.
+      - 2.0
+      - ❌
+    * - ``enable_flash_sdp``
+      - Globally enables or disables FlashAttention for SDPA.
+      - 2.1
+      - ❌
+    * - ``enable_mem_efficient_sdp``
+      - Globally enables or disables Memory-Efficient Attention for SDPA.
+      - 2.1
+      - ❌
+    * - ``enable_math_sdp``
+      - Globally enables or disables the PyTorch C++ implementation within SDPA.
+      - 2.1
+      - ❌
+
+.. Need to validate and extend.
+
+torch.backends.cudnn
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Supported ``torch`` options include:
+
+.. list-table::
+    :header-rows: 1
+
+    * - Option
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - ``allow_tf32``
+      - TensorFloat-32 tensor cores may be used in cuDNN convolutions on NVIDIA
+        Ampere or newer GPUs.
+      - 1.12.0
+      - ❌
+    * - ``deterministic``
+      - A bool that, if True, causes cuDNN to only use deterministic
+        convolution algorithms.
+      - 1.12.0
+      - 6.0
+
+Automatic mixed precision: torch.amp
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+PyTorch that automates the process of using both 16-bit (half-precision,
+float16) and 32-bit (single-precision, float32) floating-point types in model
+training and inference.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - Autocasting
+      - Instances of autocast serve as context managers or decorators that allow
+        regions of your script to run in mixed precision.
+      - 1.9
+      - 2.5
+    * - Gradient scaling
+      - To prevent underflow, “gradient scaling” multiplies the network’s
+        loss(es) by a scale factor and invokes a backward pass on the scaled
+        loss(es). Gradients flowing backward through the network are then
+        scaled by the same factor. In other words, gradient values have a
+        larger magnitude, so they don’t flush to zero.
+      - 1.9
+      - 2.5
+    * - CUDA op-specific behavior
+      - These ops always go through autocasting whether they are invoked as part
+        of a ``torch.nn.Module``, as a function, or as a ``torch.Tensor`` method. If
+        functions are exposed in multiple namespaces, they go through
+        autocasting regardless of the namespace.
+      - 1.9
+      - 2.5
+
+Distributed library features
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The PyTorch distributed library includes a collective of parallelism modules, a
+communications layer, and infrastructure for launching and debugging large
+training jobs. See :ref:`rocm-for-ai-pytorch-distributed` for more information.
+
+The Distributed Library feature in PyTorch provides tools and APIs for building
+and running distributed machine learning workflows. It allows training models
+across multiple processes, GPUs, or nodes in a cluster, enabling efficient use
+of computational resources and scalability for large-scale tasks.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - TensorPipe
+      - A point-to-point communication library integrated into
+        PyTorch for distributed training. It is designed to handle tensor data
+        transfers efficiently between different processes or devices, including
+        those on separate machines.
+      - 1.8
+      - 5.4
+    * - Gloo
+      - Designed for multi-machine and multi-GPU setups, enabling
+        efficient communication and synchronization between processes. Gloo is
+        one of the default backends for PyTorch's Distributed Data Parallel
+        (DDP) and RPC frameworks, alongside other backends like NCCL and MPI.
+      - 1.0
+      - 2.0
+
+torch.compiler
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+      - Since ROCm
+    * - ``torch.compiler`` (AOT Autograd)
+      - Autograd captures not only the user-level code, but also backpropagation,
+        which results in capturing the backwards pass “ahead-of-time”. This
+        enables acceleration of both forwards and backwards pass using
+        ``TorchInductor``.
+      - 2.0
+      - 5.3
+    * - ``torch.compiler`` (TorchInductor)
+      - The default ``torch.compile`` deep learning compiler that generates fast
+        code for multiple accelerators and backends. You need to use a backend
+        compiler to make speedups through ``torch.compile`` possible. For AMD,
+        NVIDIA, and Intel GPUs, it leverages OpenAI Triton as the key building block.
+      - 2.0
+      - 5.3
+
+torchaudio
+--------------------------------------------------------------------------------
+
+The `torchaudio <https://pytorch.org/audio/stable/index.html>`_ library provides
+utilities for processing audio data in PyTorch, such as audio loading,
+transformations, and feature extraction.
+
+To ensure GPU-acceleration with ``torchaudio.transforms``, you need to move audio
+data (waveform tensor) explicitly to GPU using ``.to('cuda')``.
+
+The following ``torchaudio`` features are GPU-accelerated.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since torchaudio version
+      - Since ROCm
+    * - ``torchaudio.transforms.Spectrogram``
+      - Generates spectrogram of an input waveform using STFT.
+      - 0.6.0
+      - 4.5
+    * - ``torchaudio.transforms.MelSpectrogram``
+      - Generates the mel-scale spectrogram of raw audio signals.
+      - 0.9.0
+      - 4.5
+    * - ``torchaudio.transforms.MFCC``
+      - Extract of MFCC features.
+      - 0.9.0
+      - 4.5
+    * - ``torchaudio.transforms.Resample``
+      - Resamples a signal from one frequency to another.
+      - 0.9.0
+      - 4.5
+
+torchvision
+--------------------------------------------------------------------------------
+
+The `torchvision <https://pytorch.org/vision/stable/index.html>`_ library
+provide datasets, model architectures, and common image transformations for
+computer vision.
+
+The following ``torchvision`` features are GPU-accelerated.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since torchvision version
+      - Since ROCm
+    * - ``torchvision.transforms.functional``
+      - Provides GPU-compatible transformations for image preprocessing like
+        resize, normalize, rotate and crop.
+      - 0.2.0
+      - 4.0
+    * - ``torchvision.ops``
+      - GPU-accelerated operations for object detection and segmentation tasks.
+        ``torchvision.ops.roi_align``, ``torchvision.ops.nms`` and
+        ``box_convert``.
+      - 0.6.0
+      - 3.3
+    * - ``torchvision.models`` with ``.to('cuda')``
+      - ``torchvision`` provides several pre-trained models (ResNet, Faster
+        R-CNN, Mask R-CNN, ...) that can run on CUDA for faster inference and
+        training.
+      - 0.1.6
+      - 2.x
+    * - ``torchvision.io``
+      - Enables video decoding and frame extraction using GPU acceleration with NVIDIA’s
+        NVDEC and nvJPEG (rocJPEG) on CUDA-enabled GPUs.
+      - 0.4.0
+      - 6.3
+
+torchtext
+--------------------------------------------------------------------------------
+
+The `torchtext <https://pytorch.org/text/stable/index.html>`_ library provides
+utilities for processing and working with text data in PyTorch, including
+tokenization, vocabulary management, and text embeddings. torchtext supports
+preprocessing pipelines and integration with PyTorch models, simplifying the
+implementation of natural language processing (NLP) tasks.
+
+To leverage GPU acceleration in torchtext, you need to move tensors
+explicitly to the GPU using ``.to('cuda')``.
+
+* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
+
+* Only official release exists.
+
+torchtune
+--------------------------------------------------------------------------------
+
+The `torchtune <https://pytorch.org/torchtune/stable/index.html>`_ library for
+authoring, fine-tuning and experimenting with LLMs.
+
+* Usage: It works out-of-the-box, enabling developers to fine-tune ROCm PyTorch solutions.
+
+* Only official release exists.
+
+torchserve
+--------------------------------------------------------------------------------
+
+The `torchserve <https://pytorch.org/torchserve/>`_ is a PyTorch domain library
+for common sparsity and parallelism primitives needed for large-scale recommender
+systems.
+
+* torchtext does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
+
+* Only official release exists.
+
+torchrec
+--------------------------------------------------------------------------------
+
+The `torchrec <https://pytorch.org/torchrec/>`_ is a PyTorch domain library for
+common sparsity and parallelism primitives needed for large-scale recommender
+systems.
+
+* torchrec does not implement its own kernels. ROCm support is enabled by linking against ROCm libraries.
+
+* Only official release exists.
+
+Unsupported PyTorch features
+----------------------------
+
+The following are GPU-accelerated PyTorch features not currently supported by ROCm.
+
+.. list-table::
+    :widths: 30, 60, 10
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since PyTorch
+    * - APEX batch norm
+      - Use APEX batch norm instead of PyTorch batch norm.
+      - 1.6.0
+    * - ``torch.backends.cuda`` / ``matmul.allow_tf32``
+      - A bool that controls whether TensorFloat-32 tensor cores may be used in
+        matrix multiplications.
+      - 1.7
+    * - ``torch.cuda`` / NVIDIA Tools Extension (NVTX)
+      - Integration with NVTX for profiling and debugging GPU performance using
+        NVIDIA's Nsight tools.
+      - 1.7.0
+    * - ``torch.cuda`` / Lazy loading NVRTC
+      - Delays JIT compilation with NVRTC until the code is explicitly needed.
+      - 1.8.0
+    * - ``torch-tensorrt``
+      - Integrate TensorRT library for optimizing and deploying PyTorch models.
+        ROCm does not have equialent library for TensorRT.
+      - 1.9.0
+    * - ``torch.backends`` / ``cudnn.allow_tf32``
+      - TensorFloat-32 tensor cores may be used in cuDNN convolutions.
+      - 1.10.0
+    * - ``torch.backends.cuda`` / ``matmul.allow_fp16_reduced_precision_reduction``
+      - Reduced precision reductions with fp16 accumulation type are
+        allowed with fp16 GEMMs.
+      - 2.0
+    * - ``torch.backends.cuda`` / ``matmul.allow_bf16_reduced_precision_reduction``
+      - Reduced precision reductions are allowed with bf16 GEMMs.
+      - 2.0
+    * - ``torch.nn.functional`` / ``scaled_dot_product_attention``
+      - Flash attention backend for SDPA to accelerate attention computation in
+        transformer-based models.
+      - 2.0
+    * - ``torch.backends.cuda`` / ``enable_cudnn_sdp``
+      - Globally enables cuDNN SDPA's kernels within SDPA.
+      - 2.0
+    * - ``torch.backends.cuda`` / ``enable_flash_sdp``
+      - Globally enables or disables FlashAttention for SDPA.
+      - 2.1
+    * - ``torch.backends.cuda`` / ``enable_mem_efficient_sdp``
+      - Globally enables or disables Memory-Efficient Attention for SDPA.
+      - 2.1
+    * - ``torch.backends.cuda`` / ``enable_math_sdp``
+      - Globally enables or disables the PyTorch C++ implementation within SDPA.
+      - 2.1
+    * - Dynamic parallelism
+      - PyTorch itself does not directly expose dynamic parallelism as a core
+        feature. Dynamic parallelism allow GPU threads to launch additional
+        threads which can be reached using custom operations via the
+        ``torch.utils.cpp_extension`` module.
+      - Not a core feature
+    * - Unified memory support in PyTorch
+      - Unified Memory is not directly exposed in PyTorch's core API, it can be
+        utilized effectively through custom CUDA extensions or advanced
+        workflows.
+      - Not a core feature
+
+Use cases and recommendations
+================================================================================
+
+* :doc:`Using ROCm for AI: training a model </how-to/rocm-for-ai/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/llm-fine-tuning-optimization/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/llm-fine-tuning-optimization/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/tuning-guides/mi300x/workload>` provides detailed
+  guidance on optimizing workloads for the AMD Instinct MI300X accelerator using ROCm. This guide is aimed at helping
+  users achieve optimal performance for deep learning and other high-performance computing tasks on the MI300X
+  accelerator.
+
+* The :doc:`Inception with PyTorch documentation </conceptual/ai-pytorch-inception>`
+  describes how PyTorch integrates with ROCm for AI workloads It outlines the use of PyTorch on the ROCm platform and
+  focuses on how to efficiently leverage AMD GPU hardware for training and inference tasks in AI applications.
+
+For more use cases and recommendations, see `ROCm PyTorch blog posts <https://rocm.blogs.amd.com/blog/tag/pytorch.html>`_.

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

@@ -0,0 +1,491 @@
+:orphan:
+
+.. meta::
+    :description: TensorFlow compatibility
+    :keywords: GPU, TensorFlow compatibility
+
+*******************************************************************************
+TensorFlow compatibility
+*******************************************************************************
+
+`TensorFlow <https://www.tensorflow.org/>`_ is an open-source library for
+solving machine learning, deep learning, and AI problems. It can solve many
+problems across different sectors and industries but primarily focuses on
+neural network training and inference. It is one of the most popular and
+in-demand frameworks and is very active in open-source contribution and
+development.
+
+The `official TensorFlow repository <http://github.com/tensorflow/tensorflow>`_
+includes full ROCm support. AMD maintains a TensorFlow `ROCm repository
+<http://github.com/rocm/tensorflow-upstream>`_ in order to quickly add bug
+fixes, updates, and support for the latest ROCM versions.
+
+- ROCm TensorFlow release:
+
+  - Offers :ref:`Docker images <tensorflow-docker-compat>` with
+    ROCm and TensorFlow pre-installed.
+
+  - ROCm TensorFlow repository: `<https://github.com/ROCm/tensorflow-upstream>`_
+
+  - See the :doc:`ROCm TensorFlow installation guide <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
+    to get started.
+
+- Official TensorFlow release:
+
+  - Official TensorFlow repository: `<https://github.com/tensorflow/tensorflow>`_
+
+  - See the `TensorFlow API versions <https://www.tensorflow.org/versions>`_ list.
+
+  .. note::
+
+     The official TensorFlow documentation does not cover ROCm support. Use the
+     ROCm documentation for installation instructions for Tensorflow on ROCm.
+     See :doc:`rocm-install-on-linux:install/3rd-party/tensorflow-install`.
+
+.. _tensorflow-docker-compat:
+
+Docker image compatibility
+===============================================================================
+
+.. |docker-icon| raw:: html
+
+   <i class="fab fa-docker"></i>
+
+AMD validates and publishes ready-made `TensorFlow images
+<https://hub.docker.com/r/rocm/tensorflow>`_ with ROCm backends on
+Docker Hub. The following Docker image tags and associated inventories are
+validated for `ROCm 6.3.1 <https://repo.radeon.com/rocm/apt/6.3.1/>`_. Click
+the |docker-icon| icon to view the image on Docker Hub.
+
+.. list-table:: TensorFlow Docker image components
+    :header-rows: 1
+
+    * - Docker image
+      - TensorFlow
+      - Dev
+      - Python
+      - TensorBoard
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.12-tf2.17.0-dev/images/sha256-804121ee4985718277ba7dcec53c57bdade130a1ef42f544b6c48090ad379c17"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.17.0 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.17.0-cp312-cp312-manylinux_2_28_x86_64.whl>`__
+      - dev
+      - `Python 3.12 <https://www.python.org/downloads/release/python-3124/>`_
+      - `TensorBoard 2.17.1 <https://github.com/tensorflow/tensorboard/tree/2.17.1>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.17.0-dev/images/sha256-776837ffa945913f6c466bfe477810a11453d21d5b6afb200be1c36e48fbc08e"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.17.0 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.17.0-cp310-cp310-manylinux_2_28_x86_64.whl>`__
+      - dev
+      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
+      - `TensorBoard 2.17.0 <https://github.com/tensorflow/tensorboard/tree/2.17.0>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.12-tf2.16.2-dev/images/sha256-c793e1483e30809c3c28fc5d7805bedc033c73da224f839fff370717cb100944"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.16.2-cp312-cp312-manylinux_2_28_x86_64.whl>`__
+      - dev
+      - `Python 3.12 <https://www.python.org/downloads/release/python-3124/>`_
+      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.16.0-dev/images/sha256-263e78414ae85d7bcd52a025a94131d0a279872a45ed632b9165336dfdcd4443"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.16.2 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.16.2-cp310-cp310-manylinux_2_28_x86_64.whl>`__
+      - dev
+      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
+      - `TensorBoard 2.16.2 <https://github.com/tensorflow/tensorboard/tree/2.16.2>`_
+
+    * - .. raw:: html
+
+           <a href="https://hub.docker.com/layers/rocm/tensorflow/rocm6.3.1-py3.10-tf2.15.0-dev/images/sha256-479046a8477ca701a9494a813ab17e8ab4f6baa54641e65dc8d07629f1e6a880"><i class="fab fa-docker fa-lg"></i> rocm/tensorflow</a>
+
+      - `tensorflow-rocm 2.15.1 <https://repo.radeon.com/rocm/manylinux/rocm-rel-6.3/tensorflow_rocm-2.15.1-cp310-cp310-manylinux_2_28_x86_64.whl>`_
+      - dev
+      - `Python 3.10 <https://www.python.org/downloads/release/python-31012/>`_
+      - `TensorBoard 2.15.2 <https://github.com/tensorflow/tensorboard/tree/2.15.2>`_
+
+Critical ROCm libraries for TensorFlow
+===============================================================================
+
+TensorFlow depends on multiple components and the supported features of those
+components can affect the TensorFlow ROCm supported feature set. The versions
+in the following table refer to the first TensorFlow version where the ROCm
+library was introduced as a dependency.
+
+.. list-table::
+    :widths: 25, 10, 35, 30
+    :header-rows: 1
+
+    * - ROCm library
+      - Version
+      - Purpose
+      - Used in
+    * - `hipBLAS <https://github.com/ROCm/hipBLAS>`_
+      - 2.3.0
+      - Provides GPU-accelerated Basic Linear Algebra Subprograms (BLAS) for
+        matrix and vector operations.
+      - Accelerates operations like ``tf.matmul``, ``tf.linalg.matmul``, and
+        other matrix multiplications commonly used in neural network layers.
+    * - `hipBLASLt <https://github.com/ROCm/hipBLASLt>`_
+      - 0.10.0
+      - Extends hipBLAS with additional optimizations like fused kernels and
+        integer tensor cores.
+      - Optimizes matrix multiplications and linear algebra operations used in
+        layers like dense, convolutional, and RNNs in TensorFlow.
+    * - `hipCUB <https://github.com/ROCm/hipCUB>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms for reduction,
+        scan, sort and select.
+      - Supports operations like ``tf.reduce_sum``, ``tf.cumsum``, ``tf.sort``
+        and other tensor operations in TensorFlow, especially those involving
+        scanning, sorting, and filtering.
+    * - `hipFFT <https://github.com/ROCm/hipFFT>`_
+      - 1.0.17
+      - Accelerates Fast Fourier Transforms (FFT) for signal processing tasks.
+      - Used for operations like signal processing, image filtering, and
+        certain types of neural networks requiring FFT-based transformations.
+    * - `hipSOLVER <https://github.com/ROCm/hipSOLVER>`_
+      - 2.3.0
+      - Provides GPU-accelerated direct linear solvers for dense and sparse
+        systems.
+      - Optimizes linear algebra functions such as solving systems of linear
+        equations, often used in optimization and training tasks.
+    * - `hipSPARSE <https://github.com/ROCm/hipSPARSE>`_
+      - 3.1.2
+      - Optimizes sparse matrix operations for efficient computations on sparse
+        data.
+      - Accelerates sparse matrix operations in models with sparse weight
+        matrices or activations, commonly used in neural networks.
+    * - `MIOpen <https://github.com/ROCm/MIOpen>`_
+      - 3.3.0
+      - Provides optimized deep learning primitives such as convolutions,
+        pooling,
+        normalization, and activation functions.
+      - Speeds up convolutional neural networks (CNNs) and other layers. Used
+        in TensorFlow for layers like ``tf.nn.conv2d``, ``tf.nn.relu``, and
+        ``tf.nn.lstm_cell``.
+    * - `RCCL <https://github.com/ROCm/rccl>`_
+      - 2.21.5
+      - Optimizes for multi-GPU communication for operations like AllReduce and
+        Broadcast.
+      - Distributed data parallel training (``tf.distribute.MirroredStrategy``).
+        Handles communication in multi-GPU setups.
+    * - `rocThrust <https://github.com/ROCm/rocThrust>`_
+      - 3.3.0
+      - Provides a C++ template library for parallel algorithms like sorting,
+        reduction, and scanning.
+      - Reduction operations like ``tf.reduce_sum``, ``tf.cumsum`` for computing
+        the cumulative sum of elements along a given axis or ``tf.unique`` to
+        finds unique elements in a tensor can use rocThrust.
+
+Supported and unsupported features
+===============================================================================
+
+The following section maps supported data types and GPU-accelerated TensorFlow
+features to their minimum supported ROCm and TensorFlow versions.
+
+Data types
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The data type of a tensor is specified using the ``dtype`` attribute or
+argument, and TensorFlow supports a wide range of data types for different use
+cases.
+
+The basic, single data types of `tf.dtypes <https://www.tensorflow.org/api_docs/python/tf/dtypes>`_
+are as follows:
+
+.. list-table::
+    :header-rows: 1
+
+    * - Data type
+      - Description
+      - Since TensorFlow
+      - Since ROCm
+    * - ``bfloat16``
+      - 16-bit bfloat (brain floating point).
+      - 1.0.0
+      - 1.7
+    * - ``bool``
+      - Boolean.
+      - 1.0.0
+      - 1.7
+    * - ``complex128``
+      - 128-bit complex.
+      - 1.0.0
+      - 1.7
+    * - ``complex64``
+      - 64-bit complex.
+      - 1.0.0
+      - 1.7
+    * - ``double``
+      - 64-bit (double precision) floating-point.
+      - 1.0.0
+      - 1.7
+    * - ``float16``
+      - 16-bit (half precision) floating-point.
+      - 1.0.0
+      - 1.7
+    * - ``float32``
+      - 32-bit (single precision) floating-point.
+      - 1.0.0
+      - 1.7
+    * - ``float64``
+      - 64-bit (double precision) floating-point.
+      - 1.0.0
+      - 1.7
+    * - ``half``
+      - 16-bit (half precision) floating-point.
+      - 2.0.0
+      - 2.0
+    * - ``int16``
+      - Signed 16-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``int32``
+      - Signed 32-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``int64``
+      - Signed 64-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``int8``
+      - Signed 8-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``qint16``
+      - Signed quantized 16-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``qint32``
+      - Signed quantized 32-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``qint8``
+      - Signed quantized 8-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``quint16``
+      - Unsigned quantized 16-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``quint8``
+      - Unsigned quantized 8-bit integer.
+      - 1.0.0
+      - 1.7
+    * - ``resource``
+      - Handle to a mutable, dynamically allocated resource.
+      - 1.0.0
+      - 1.7
+    * - ``string``
+      - Variable-length string, represented as byte array.
+      - 1.0.0
+      - 1.7
+    * - ``uint16``
+      - Unsigned 16-bit (word) integer.
+      - 1.0.0
+      - 1.7
+    * - ``uint32``
+      - Unsigned 32-bit (dword) integer.
+      - 1.5.0
+      - 1.7
+    * - ``uint64``
+      - Unsigned 64-bit (qword) integer.
+      - 1.5.0
+      - 1.7
+    * - ``uint8``
+      - Unsigned 8-bit (byte) integer.
+      - 1.0.0
+      - 1.7
+    * - ``variant``
+      - Data of arbitrary type (known at runtime).
+      - 1.4.0
+      - 1.7
+
+Features
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+This table provides an overview of key features in TensorFlow and their
+availability in ROCm.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Module
+      - Description
+      - Since TensorFlow
+      - Since ROCm
+    * - ``tf.linalg`` (Linear Algebra)
+      - Operations for matrix and tensor computations, such as
+        ``tf.linalg.matmul`` (matrix multiplication), ``tf.linalg.inv``
+        (matrix inversion) and ``tf.linalg.cholesky`` (Cholesky decomposition).
+        These leverage GPUs for high-performance linear algebra operations.
+      - 1.4
+      - 1.8.2
+    * - ``tf.nn`` (Neural Network Operations)
+      - GPU-accelerated building blocks for deep learning models, such as 2D
+        convolutions with ``tf.nn.conv2d``, max pooling operations with
+        ``tf.nn.max_pool``, activation functions like ``tf.nn.relu`` or softmax
+        for output layers with ``tf.nn.softmax``.
+      - 1.0
+      - 1.8.2
+    * - ``tf.image`` (Image Processing)
+      - GPU-accelerated functions for image preprocessing and augmentations,
+        such as resize images with ``tf.image.resize``, flip images horizontally
+        with ``tf.image.flip_left_right`` and adjust image brightness randomly
+        with ``tf.image.random_brightness``.
+      - 1.1
+      - 1.8.2
+    * - ``tf.keras`` (High-Level API)
+      - GPU acceleration for Keras layers and models, including dense layers
+        (``tf.keras.layers.Dense``), convolutional layers
+        (``tf.keras.layers.Conv2D``) and recurrent layers
+        (``tf.keras.layers.LSTM``).
+      - 1.4
+      - 1.8.2
+    * - ``tf.math`` (Mathematical Operations)
+      - GPU-accelerated mathematical operations, such as sum across dimensions
+        with ``tf.math.reduce_sum``, elementwise exponentiation with
+        ``tf.math.exp`` and sigmoid activation (``tf.math.sigmoid``).
+      - 1.5
+      - 1.8.2
+    * - ``tf.signal`` (Signal Processing)
+      - Functions for spectral analysis and signal transformations.
+      - 1.13
+      - 2.1
+    * - ``tf.data`` (Data Input Pipeline)
+      - GPU-accelerated data preprocessing for efficient input pipelines,
+        Prefetching with ``tf.data.experimental.AUTOTUNE``. GPU-enabled
+        transformations like map and batch.
+      - 1.4
+      - 1.8.2
+    * - ``tf.distribute`` (Distributed Training)
+      - Enabling to scale computations across multiple devices on a single
+        machine or across multiple machines.
+      - 1.13
+      - 2.1
+    * - ``tf.random`` (Random Number Generation)
+      - GPU-accelerated random number generation
+      - 1.12
+      - 1.9.2
+    * - ``tf.TensorArray`` (Dynamic Array Operations)
+      - Enables dynamic tensor manipulation on GPUs.
+      - 1.0
+      - 1.8.2
+    * - ``tf.sparse`` (Sparse Tensor Operations)
+      - GPU-accelerated sparse matrix manipulations.
+      - 1.9
+      - 1.9.0
+    * - ``tf.experimental.numpy``
+      - GPU-accelerated NumPy-like API for numerical computations.
+      - 2.4
+      - 4.1.1
+    * - ``tf.RaggedTensor``
+      - Handling of variable-length sequences and ragged tensors with GPU
+        support.
+      - 1.13
+      - 2.1
+    * - ``tf.function`` with XLA (Accelerated Linear Algebra)
+      - Enable GPU-accelerated functions in optimization.
+      - 1.14
+      - 2.4
+    * - ``tf.quantization``
+      - Quantized operations for inference, accelerated on GPUs.
+      - 1.12
+      - 1.9.2
+
+Distributed library features
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Enables developers to scale computations across multiple devices on a single machine or
+across multiple machines.
+
+.. list-table::
+   :header-rows: 1
+
+   * - Feature
+     - Description
+     - Since TensorFlow
+     - Since ROCm
+   * - ``MultiWorkerMirroredStrategy``
+     - Synchronous training across multiple workers using mirrored variables.
+     - 2.0
+     - 3.0
+   * - ``MirroredStrategy``
+     - Synchronous training across multiple GPUs on one machine.
+     - 1.5
+     - 2.5
+   * - ``TPUStrategy``
+     - Efficiently trains models on Google TPUs.
+     - 1.9
+     - ❌
+   * - ``ParameterServerStrategy``
+     - Asynchronous training using parameter servers for variable management.
+     - 2.1
+     - 4.0
+   * - ``CentralStorageStrategy``
+     - Keeps variables on a single device and performs computation on multiple
+       devices.
+     - 2.3
+     - 4.1
+   * - ``CollectiveAllReduceStrategy``
+     - Synchronous training across multiple devices and hosts.
+     - 1.14
+     - 3.5
+   * - Distribution Strategies API
+     - High-level API to simplify distributed training configuration and
+       execution.
+     - 1.10
+     - 3.0
+
+Unsupported TensorFlow features
+===============================================================================
+
+The following are GPU-accelerated TensorFlow features not currently supported by
+ROCm.
+
+.. list-table::
+    :header-rows: 1
+
+    * - Feature
+      - Description
+      - Since TensorFlow
+    * - Mixed Precision with TF32
+      - Mixed precision with TF32 is used for matrix multiplications,
+        convolutions, and other linear algebra operations, particularly in
+        deep learning workloads like CNNs and transformers.
+      - 2.4
+    * - ``tf.distribute.TPUStrategy``
+      - Efficiently trains models on Google TPUs.
+      - 1.9
+
+Use cases and recommendations
+===============================================================================
+
+* The `Training a Neural Collaborative Filtering (NCF) Recommender on an AMD
+  GPU <https://rocm.blogs.amd.com/artificial-intelligence/ncf/README.html>`_
+  blog post discusses training an NCF recommender system using TensorFlow. It
+  explains how NCF improves traditional collaborative filtering methods by
+  leveraging neural networks to model non-linear user-item interactions. The
+  post outlines the implementation using the recommenders library, focusing on
+  the use of implicit data (for example, user interactions like viewing or
+  purchasing) and how it addresses challenges like the lack of negative values.
+
+* The `Creating a PyTorch/TensorFlow code environment on AMD GPUs
+  <https://rocm.blogs.amd.com/software-tools-optimization/pytorch-tensorflow-env/README.html>`_
+  blog post provides instructions for creating a machine learning environment
+  for PyTorch and TensorFlow on AMD GPUs using ROCm. It covers steps like
+  installing the libraries, cloning code repositories, installing dependencies,
+  and troubleshooting potential issues with CUDA-based code. Additionally, it
+  explains how to HIPify code (port CUDA code to HIP) and manage Docker images
+  for a better experience on AMD GPUs. This guide aims to help data scientists
+  and ML practitioners adapt their code for AMD GPUs.
+
+For more use cases and recommendations, see the `ROCm Tensorflow blog posts <https://rocm.blogs.amd.com/blog/tag/tensorflow.html>`_.

docs/conceptual/ai-pytorch-inception.md

@@ -53,7 +53,7 @@ The following sections contain case studies for the Inception V3 model.
 
 ### Inception V3 with PyTorch
 
-Convolution Neural Networks are forms of artificial neural networks commonly used for image processing. One of the core layers of such a network is the convolutional layer, which convolves the input with a weight tensor and passes the result to the next layer. Inception V3[^inception_arch] is an architectural development over the ImageNet competition-winning entry, AlexNet, using more profound and broader networks while attempting to meet computational and memory budgets.
+Convolution Neural Networks are forms of artificial neural networks commonly used for image processing. One of the core layers of such a network is the convolutional layer, which convolves the input with a weight tensor and passes the result to the next layer. Inception V3 is an architectural development over the ImageNet competition-winning entry, AlexNet, using more profound and broader networks while attempting to meet computational and memory budgets.
 
 The implementation uses PyTorch as a framework. This case study utilizes [TorchVision](https://pytorch.org/vision/stable/index.html), a repository of popular datasets and model architectures, for obtaining the model. TorchVision also provides pre-trained weights as a starting point to develop new models or fine-tune the model for a new task.
 
@@ -162,7 +162,7 @@ Follow these steps:
     docker run -it --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --device=/dev/kfd --device=/dev/dri --group-add video --ipc=host --shm-size 8G rocm/pytorch:latest
     ```
 
-2. Download an ImageNet database. For this example, the `tiny-imagenet-200`[^Stanford_deep_learning], a smaller ImageNet variant with 200 image classes and a training dataset with 100,000 images, was downsized to 64x64 color images.
+2. Download an ImageNet database. For this example, the `tiny-imagenet-200`, a smaller ImageNet variant with 200 image classes and a training dataset with 100,000 images, was downsized to 64x64 color images.
 
     ```bash
     wget http://cs231n.stanford.edu/tiny-imagenet-200.zip
@@ -366,7 +366,7 @@ Follow these steps:
     model.to(device)
     ```
 
-13. Set the loss criteria. For this example, Cross Entropy Loss[^cross_entropy] is used.
+13. Set the loss criteria. For this example, Cross Entropy Loss is used.
 
     ```py
     criterion = torch.nn.CrossEntropyLoss()
@@ -586,7 +586,7 @@ Follow these steps:
     import torch.optim as optim
     ```
 
-10. Set the loss criteria. For this example, Cross Entropy Loss[^cross_entropy] is used.
+10. Set the loss criteria. For this example, Cross Entropy Loss is used.
 
     ```py
     criterion = nn.CrossEntropyLoss()

docs/conceptual/gpu-arch/mi100.md

@@ -1,8 +1,9 @@
-<head>
-  <meta charset="UTF-8">
-  <meta name="description" content="AMD Instinct MI100 microarchitecture">
-  <meta name="keywords" content="Instinct, MI100, microarchitecture, AMD, ROCm">
-</head>
+---
+myst:
+  html_meta:
+    "description lang=en": "Learn about the AMD Instinct MI100 series architecture."
+    "keywords": "Instinct, MI100, microarchitecture, AMD, ROCm"
+---
 
 # AMD Instinct™ MI100 microarchitecture
 

docs/conceptual/gpu-arch/mi250.md

@@ -1,8 +1,9 @@
-<head>
-  <meta charset="UTF-8">
-  <meta name="description" content="AMD Instinct MI250 microarchitecture">
-  <meta name="keywords" content="Instinct, MI250, microarchitecture, AMD, ROCm">
-</head>
+---
+myst:
+  html_meta:
+    "description lang=en": "Learn about the AMD Instinct MI250 series architecture."
+    "keywords": "Instinct, MI250, microarchitecture, AMD, ROCm"
+---
 
 # AMD Instinct™ MI250 microarchitecture
 

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

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

docs/conceptual/gpu-arch/mi300.md

@@ -1,3 +1,10 @@
+---
+myst:
+  html_meta:
+    "description lang=en": "Learn about the AMD Instinct MI300 series architecture."
+    "keywords": "Instinct, MI300X, MI300A, microarchitecture, AMD, ROCm"
+---
+
 # AMD Instinct™ MI300 series microarchitecture
 
 The AMD Instinct MI300 series accelerators are based on the AMD CDNA 3

docs/conf.py

@@ -29,7 +29,7 @@ if os.environ.get("READTHEDOCS", "") == "True":
 # configurations for PDF output by Read the Docs
 project = "ROCm Documentation"
 author = "Advanced Micro Devices, Inc."
-copyright = "Copyright (c) 2024 Advanced Micro Devices, Inc. All rights reserved."
+copyright = "Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved."
 version = "6.3.1"
 release = "6.3.1"
 setting_all_article_info = True
@@ -39,6 +39,9 @@ all_article_info_author = ""
 # pages with specific settings
 article_pages = [
     {"file": "about/release-notes", "os": ["linux", "windows"], "date": "2024-12-20"},
+    {"file": "compatibility/ml-compatibility/pytorch-compatibility", "os": ["linux"]},
+    {"file": "compatibility/ml-compatibility/tensorflow-compatibility", "os": ["linux"]},
+    {"file": "compatibility/ml-compatibility/jax-compatibility", "os": ["linux"]},
     {"file": "how-to/deep-learning-rocm", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/index", "os": ["linux"]},
     {"file": "how-to/rocm-for-ai/install", "os": ["linux"]},

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

@@ -11,20 +11,24 @@ ROCm provides a comprehensive ecosystem for deep learning development, including
 deep learning frameworks and libraries such as PyTorch, TensorFlow, and JAX. ROCm works closely with these
 frameworks to ensure that framework-specific optimizations take advantage of AMD accelerator and GPU architectures.
 
-The following guides cover installation processes for ROCm-aware deep learning frameworks.
+The following guides provide information on compatibility and supported
+features for these ROCm-enabled deep learning frameworks.
 
-* :doc:`PyTorch for ROCm <rocm-install-on-linux:install/3rd-party/pytorch-install>`
-* :doc:`TensorFlow for ROCm <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
-* :doc:`JAX for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
+* :doc:`PyTorch compatibility <../compatibility/ml-compatibility/pytorch-compatibility>`
+* :doc:`TensorFlow compatibility <../compatibility/ml-compatibility/tensorflow-compatibility>`
+* :doc:`JAX compatibility <../compatibility/ml-compatibility/jax-compatibility>`
 
-The following chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
+This chart steps through typical installation workflows for installing deep learning frameworks for ROCm.
 
 .. image:: ../data/how-to/framework_install_2024_07_04.png
    :alt: Flowchart for installing ROCm-aware machine learning frameworks
    :align: center
 
-Find information on version compatibility and framework release notes in :doc:`Third-party support matrix
-<rocm-install-on-linux:reference/3rd-party-support-matrix>`.
+See the installation instructions to get started.
+
+* :doc:`PyTorch for ROCm <rocm-install-on-linux:install/3rd-party/pytorch-install>`
+* :doc:`TensorFlow for ROCm <rocm-install-on-linux:install/3rd-party/tensorflow-install>`
+* :doc:`JAX for ROCm <rocm-install-on-linux:install/3rd-party/jax-install>`
 
 .. note::
 
@@ -36,3 +40,4 @@ through the following guides.
 * :doc:`rocm-for-ai/index`
 
 * :doc:`llm-fine-tuning-optimization/index`
+

docs/how-to/gpu-enabled-mpi.rst

@@ -1,264 +0,0 @@
-.. meta::
-   :description: GPU-enabled Message Passing Interface
-   :keywords: Message Passing Interface, MPI, AMD, ROCm
-
-***************************************************************************************************
-GPU-enabled Message Passing Interface
-***************************************************************************************************
-
-The Message Passing Interface (`MPI <https://www.mpi-forum.org>`_) is a standard API for distributed
-and parallel application development that can scale to multi-node clusters. To facilitate the porting of
-applications to clusters with GPUs, ROCm enables various technologies. You can use these
-technologies add GPU pointers to MPI calls and enable ROCm-aware MPI libraries to deliver optimal
-performance for both intra-node and inter-node GPU-to-GPU communication.
-
-The AMD kernel driver exposes remote direct memory access (RDMA) through *PeerDirect* interfaces.
-This allows network interface cards (NICs) to directly read and write to RDMA-capable GPU device
-memory, resulting in high-speed direct memory access (DMA) transfers between GPU and NIC. These
-interfaces are used to optimize inter-node MPI message communication.
-
-The Open MPI project is an open source implementation of the MPI. It's developed and maintained by
-a consortium of academic, research, and industry partners. To compile Open MPI with ROCm support,
-refer to the following sections:
-
-* :ref:`open-mpi-ucx`
-* :ref:`open-mpi-libfabric`
-
-.. _open-mpi-ucx:
-
-ROCm-aware Open MPI on InfiniBand and RoCE networks using UCX
-================================================================
-
-The `Unified Communication Framework <https://www.openucx.org/documentation>`_ (UCX), is an
-open source, cross-platform framework designed to provide a common set of communication
-interfaces for various network programming models and interfaces. UCX uses ROCm technologies to
-implement various network operation primitives. UCX is the standard communication library for
-InfiniBand and RDMA over Converged Ethernet (RoCE) network interconnect. To optimize data
-transfer operations, many MPI libraries, including Open MPI, can leverage UCX internally.
-
-UCX and Open MPI have a compile option to enable ROCm support. To install and configure UCX to compile Open MPI for ROCm, use the following instructions.
-
-1. Set environment variables to install all software components in the same base directory. We use the
-home directory in our example, but you can specify a different location if you want.
-
-    .. code-block:: shell
-
-        export INSTALL_DIR=$HOME/ompi_for_gpu
-        export BUILD_DIR=/tmp/ompi_for_gpu_build
-        mkdir -p $BUILD_DIR
-
-2. Install UCX. To view UCX and ROCm version compatibility, refer to the
-`communication libraries tables <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/3rd-party-support-matrix.html>`_
-
-    .. code-block:: shell
-
-        export UCX_DIR=$INSTALL_DIR/ucx
-        cd $BUILD_DIR
-        git clone https://github.com/openucx/ucx.git -b v1.15.x
-        cd ucx
-        ./autogen.sh
-        mkdir build
-        cd build
-        ../configure -prefix=$UCX_DIR \
-            --with-rocm=/opt/rocm
-        make -j $(nproc)
-        make -j $(nproc) install
-
-3. Install Open MPI.
-
-    .. code-block:: shell
-
-        export OMPI_DIR=$INSTALL_DIR/ompi
-        cd $BUILD_DIR
-        git clone --recursive https://github.com/open-mpi/ompi.git \
-            -b v5.0.x
-        cd ompi
-        ./autogen.pl
-        mkdir build
-        cd build
-        ../configure --prefix=$OMPI_DIR --with-ucx=$UCX_DIR \
-            --with-rocm=/opt/rocm
-        make -j $(nproc)
-        make install
-
-.. _rocm-enabled-osu:
-
-ROCm-enabled OSU benchmarks
----------------------------------------------------------------------------------------------------------------
-
-You can use OSU Micro Benchmarks (OMB) to evaluate the performance of various primitives on
-ROCm-supported AMD GPUs. The ``--enable-rocm`` option exposes this functionality.
-
-.. code-block:: shell
-
-    export OSU_DIR=$INSTALL_DIR/osu
-    cd $BUILD_DIR
-    wget http://mvapich.cse.ohio-state.edu/download/mvapich/osu-micro-benchmarks-7.2.tar.gz
-    tar xfz osu-micro-benchmarks-7.2.tar.gz
-    cd osu-micro-benchmarks-7.2
-    ./configure --enable-rocm \
-        --with-rocm=/opt/rocm \
-        CC=$OMPI_DIR/bin/mpicc CXX=$OMPI_DIR/bin/mpicxx \
-        LDFLAGS="-L$OMPI_DIR/lib/ -lmpi -L/opt/rocm/lib/ \
-        $(hipconfig -C) -lamdhip64" CXXFLAGS="-std=c++11"
-    make -j $(nproc)
-
-Intra-node run
-----------------------------------------------------------------------------------------------------------------
-
-Before running an Open MPI job, you must set the following environment variables to ensure that
-you're using the correct versions of Open MPI and UCX.
-
-.. code-block:: shell
-
-    export LD_LIBRARY_PATH=$OMPI_DIR/lib:$UCX_DIR/lib:/opt/rocm/lib
-    export PATH=$OMPI_DIR/bin:$PATH
-
-To run the OSU bandwidth benchmark between the first two GPU devices (``GPU 0`` and ``GPU 1``)
-inside the same node, use the following code.
-
-.. code-block:: shell
-
-    $OMPI_DIR/bin/mpirun -np 2 \
-    -x UCX_TLS=sm,self,rocm \
-    --mca pml ucx \
-    ./c/mpi/pt2pt/standard/osu_bw D D
-
-This measures the unidirectional bandwidth from the first device (``GPU 0``) to the second device
-(``GPU 1``). To select specific devices, for example ``GPU 2`` and ``GPU 3``, include the following
-command:
-
-.. code-block:: shell
-
-    export HIP_VISIBLE_DEVICES=2,3
-
-To force using a copy kernel instead of a DMA engine for the data transfer, use the following
-command:
-
-.. code-block:: shell
-
-    export HSA_ENABLE_SDMA=0
-
-The following output shows the effective transfer bandwidth measured for inter-die data transfer
-between ``GPU 2`` and ``GPU 3`` on a system with MI250 GPUs. For messages larger than 67 MB, an effective
-utilization of about 150 GB/sec is achieved:
-
-.. image:: ../data/how-to/gpu-enabled-mpi-1.png
-  :width: 400
-  :alt: Inter-GPU bandwidth for various payload sizes
-
-Collective operations
-----------------------------------------------------------------------------------------------------------------
-
-Collective operations on GPU buffers are best handled through the Unified Collective Communication
-(UCC) library component in Open MPI. To accomplish this, you must configure and compile the UCC
-library with ROCm support.
-
-.. note::
-
-    You can verify UCC and ROCm version compatibility using the
-    `communication libraries tables <https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/3rd-party-support-matrix.html>`_
-
-.. code-block:: shell
-
-    export UCC_DIR=$INSTALL_DIR/ucc
-    git clone https://github.com/openucx/ucc.git -b v1.2.x
-    cd ucc
-    ./autogen.sh
-    ./configure --with-rocm=/opt/rocm \
-                --with-ucx=$UCX_DIR   \
-                --prefix=$UCC_DIR
-    make -j && make install
-
-    # Configure and compile Open MPI with UCX, UCC, and ROCm support
-    cd ompi
-    ./configure --with-rocm=/opt/rocm  \
-                --with-ucx=$UCX_DIR    \
-                --with-ucc=$UCC_DIR
-                --prefix=$OMPI_DIR
-
-To use the UCC component with an MPI application, you must set additional parameters:
-
-.. code-block:: shell
-
-    mpirun --mca pml ucx --mca osc ucx \
-       --mca coll_ucc_enable 1     \
-       --mca coll_ucc_priority 100 -np 64 ./my_mpi_app
-
-.. _open-mpi-libfabric:
-
-ROCm-aware Open MPI using libfabric
-================================================================
-
-For network interconnects that are not covered in the previous category, such as HPE Slingshot,
-ROCm-aware communication can often be achieved through the libfabric library. For more information,
-refer to the `libfabric documentation <https://github.com/ofiwg/libfabric/wiki>`_.
-
-.. note::
-
-    When using Open MPI v5.0.x with libfabric support, shared memory communication between
-    processes on the same node goes through the *ob1/sm* component. This component has
-    fundamental support for GPU memory that is, accomplished by using a staging host buffer
-    Consequently, the performance of device-to-device shared memory communication is lower than
-    the theoretical peak performance allowed by the GPU-to-GPU interconnect.
-
-1.	Install libfabric. Note that libfabric is often pre-installed. To determine if it's already installed, run:
-
-    .. code-block:: shell
-
-        module avail libfabric
-
-    Alternatively, you can download and compile libfabric with ROCm support. Note that not all
-    components required to support some networks (e.g., HPE Slingshot) are available in the open source
-    repository. Therefore, using a pre-installed libfabric library is strongly recommended over compiling
-    libfabric manually.
-
-    If a pre-compiled libfabric library is available on your system, you can skip the following step.
-
-2.	Compile libfabric with ROCm support.
-
-    .. code-block:: shell
-
-        export OFI_DIR=$INSTALL_DIR/ofi
-        cd $BUILD_DIR
-        git clone https://github.com/ofiwg/libfabric.git -b v1.19.x
-        cd libfabric
-        ./autogen.sh
-        ./configure --prefix=$OFI_DIR   \
-                    --with-rocr=/opt/rocm
-        make -j $(nproc)
-        make install
-
-Installing Open MPI with libfabric support
-----------------------------------------------------------------------------------------------------------------
-
-To build Open MPI with libfabric, use the following code:
-
-.. code-block:: shell
-
-    export OMPI_DIR=$INSTALL_DIR/ompi
-    cd $BUILD_DIR
-    git clone --recursive https://github.com/open-mpi/ompi.git \
-        -b v5.0.x
-    cd ompi
-    ./autogen.pl
-    mkdir build
-    cd build
-    ../configure --prefix=$OMPI_DIR --with-ofi=$OFI_DIR \
-                    --with-rocm=/opt/rocm
-    make -j $(nproc)
-    make install
-
-ROCm-aware OSU with Open MPI and libfabric
-----------------------------------------------------------------------------------------------------------------
-
-Compiling a ROCm-aware version of OSU benchmarks with Open MPI and libfabric uses the same
-process described in :ref:`rocm-enabled-osu`.
-
-To run an OSU benchmark using multiple nodes, use the following code:
-
-.. code-block:: shell
-
-    export LD_LIBRARY_PATH=$OMPI_DIR/lib:$OFI_DIR/lib64:/opt/rocm/lib
-    $OMPI_DIR/bin/mpirun --mca pml ob1 --mca btl_ofi_mode 2 -np 2 \
-    ./c/mpi/pt2pt/standard/osu_bw D D

docs/how-to/performance-validation/mi300x/vllm-benchmark.rst

@@ -399,9 +399,6 @@ Further reading
 - To learn how to optimize inference on LLMs, see
   :doc:`Fine-tuning LLMs and inference optimization </how-to/llm-fine-tuning-optimization/index>`.
 
-- For a list of other ready-made Docker images for ROCm, see the
-  :doc:`Docker image support matrix <rocm-install-on-linux:reference/docker-image-support-matrix>`.
-
 - To compare with the previous version of the ROCm vLLM Docker image for performance validation, refer to
   `LLM inference performance validation on AMD Instinct MI300X (ROCm 6.2.0) <https://rocm.docs.amd.com/en/docs-6.2.0/how-to/performance-validation/mi300x/vllm-benchmark.html>`_.
 

docs/how-to/programming_guide.rst

@@ -1,3 +1,5 @@
+:orphan:
+
 .. meta::
     :description: Programming guide
     :keywords: HIP, programming guide, heterogeneous programming, AMD GPU programming
@@ -12,7 +14,7 @@ ROCm provides a robust environment for heterogeneous programs running on CPUs
 and AMD GPUs. ROCm supports various programming languages and frameworks to
 help developers access the power of AMD GPUs. The natively supported programming
 languages are HIP (Heterogeneous-Compute Interface for Portability) and
-OpenCL, but HIP bindings are available for Python and Fortran. 
+OpenCL, but HIP bindings are available for Python and Fortran.
 
 HIP is an API based on C++ that provides a runtime and kernel language for GPU
 programming and is the essential ROCm programming language. HIP is also designed

docs/how-to/rocm-for-ai/scale-model-training.rst

@@ -132,4 +132,4 @@ The following developer blogs showcase examples of fine-tuning a model on an AMD
 * Recipes for fine-tuning Llama2 and 3 with ``llama-recipes``
 
   * `meta-llama/llama-recipes: Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover
-    single/multi-node GPUs <https://github.com/meta-llama/llama-recipes/tree/main/recipes/quickstart/finetuning>`_
+    single/multi-node GPUs <https://github.com/meta-llama/llama-cookbook/tree/main/getting-started/finetuning>`_

docs/how-to/rocm-for-hpc/index.rst

@@ -20,7 +20,7 @@ applications.
 * For more information, see :doc:`What is ROCm? <../../what-is-rocm>`.
 
 * For guidance on installing ROCm, see :doc:`rocm-install-on-linux:index`. See
-  the :doc:`../../compatibility/compatibility-matrix` for details on hardware
+  the :doc:`Compatibility matrix <../../compatibility/compatibility-matrix>` for details on hardware
   and operating system support.
 
 Some of the most popular HPC frameworks are part of the ROCm platform, including
@@ -32,7 +32,7 @@ handle memory hierarchies, and solve linear systems.
    :alt: Software and hardware ecosystem surrounding ROCm and AMD Instinct for HPC
 
 The following catalog of GPU-accelerated solutions includes a vast set of
-platform-compatible HPC applications, including those for astrophysics, climate 
+platform-compatible HPC applications, including those for astrophysics, climate
 and weather, computational chemistry, computational fluid dynamics, earth
 science, genomics, geophysics, molecular dynamics, and physics computing.
 
@@ -115,6 +115,12 @@ Ubuntu versions.
           for non-destructive testing or for ocean acoustics.
 
       * - Molecular dynamics
+        - `Amber <https://github.com/amd/InfinityHub-CI/tree/main/amber>`_
+        - Amber is a suite of biomolecular simulation programs. It is a set of molecular mechanical force fields for
+          simulating biomolecules. Amber is also a package of molecular simulation
+          programs which includes source code and demos.
+
+      * -
         - `GROMACS with HIP (AMD implementation) <https://github.com/amd/InfinityHub-CI/tree/main/gromacs>`_
         - GROMACS is a versatile package to perform molecular dynamics, i.e.
           simulate the Newtonian equations of motion for systems with hundreds
@@ -129,6 +135,13 @@ Ubuntu versions.
           Parallel Simulator.
 
       * - Computational fluid dynamics
+        - `Ansys Fluent <https://github.com/amd/InfinityHub-CI/tree/main/ansys-fluent>`_
+        - Ansys Fluent is an advanced computational fluid dynamics (CFD) tool for
+          simulating and analyzing fluid flow, heat transfer, and related phenomena in complex systems.
+          It offers a range of powerful features for detailed and accurate modeling of various physical
+          processes, including turbulence, chemical reactions, and multiphase flows.
+
+      * -
         - `NEKO <https://github.com/amd/InfinityHub-CI/tree/main/neko>`_
         - Neko is a portable framework for high-order spectral element flow simulations.
           Written in modern Fortran, Neko adopts an object-oriented approach, allowing
@@ -139,7 +152,27 @@ Ubuntu versions.
       * -
         - `nekRS <https://github.com/amd/InfinityHub-CI/tree/main/nekrs>`_
         - nekRS is an open-source Navier Stokes solver based on the spectral element
-          method targeting classical processors and accelerators like GPUs. 
+          method targeting classical processors and accelerators like GPUs.
+
+      * -
+        - `OpenFOAM <https://github.com/amd/InfinityHub-CI/tree/main/openfoam>`_
+        - OpenFOAM is a free, open-source computational fluid dynamics (CFD)
+          tool developed primarily by OpenCFD Ltd. It has a large user
+          base across most areas of engineering and science, from both commercial and
+          academic organizations. OpenFOAM has extensive features to solve
+          anything from complex fluid flows involving chemical reactions, turbulence, and
+          heat transfer, to acoustics, solid mechanics, and electromagnetics.
+
+      * -
+        - `PeleC <https://github.com/amd/InfinityHub-CI/tree/main/pelec>`_
+        - PeleC is an adaptive mesh refinement(AMR) solver for compressible reacting flows.
+
+      * -
+        - `Simcenter Star-CCM+ <https://github.com/amd/InfinityHub-CI/tree/main/siemens-star-ccm>`_
+        - Simcenter Star-CCM+ is a comprehensive computational fluid dynamics (CFD) and multiphysics
+          simulation tool developed by Siemens Digital Industries Software. It is designed to
+          help engineers and researchers analyze and optimize the performance of products and
+          systems across various industries.
 
       * - Computational chemistry
         - `QUDA <https://github.com/amd/InfinityHub-CI/tree/main/quda>`_
@@ -170,12 +203,30 @@ Ubuntu versions.
           developing atmosphere, ocean, and other earth-system simulation components
           for use in climate, regional climate, and weather studies.
 
+      * - Energy, Oil, and Gas
+        - `DevitoPRO <https://github.com/amd/InfinityHub-CI/tree/main/devitopro>`_
+        - DevitoPRO is an advanced extension of the open-source Devito platform with added
+          features tailored for high-demand production workflows. It supports
+          high-performance computing (HPC) needs, especially in seismic imaging and inversion.
+          It is used to perform optimized finite difference (FD) computations
+          from high-level symbolic problem definitions. DevitoPro performs automated
+          code generation and Just-In-time (JIT) compilation based on symbolic equations
+          defined in SymPy to create and execute highly optimized Finite Difference stencil
+          kernels on multiple computer platforms.
+
+      * -
+        - `ECHELON <https://github.com/amd/InfinityHub-CI/tree/main/srt-echelon>`_
+        - ECHELON by Stone Ridge Technology is a reservoir simulation tool. With
+          fast processing, it retains precise accuracy and preserves legacy simulator results.
+          Faster reservoir simulation enables reservoir engineers to produce many realizations,
+          address larger models, and use advanced physics. It opens new workflows based on
+          ensemble methodologies for history matching and forecasting that yield
+          increased accuracy and more predictive results.
+
       * - Benchmark
         - `rocHPL <https://github.com/amd/InfinityHub-CI/tree/main/rochpl>`_
-        - HPL, or High-Performance Linpack, is a benchmark which solves a uniformly 
-          random system of linear equations and reports floating-point execution rate. 
-          This documentation supports the implementation of the HPL benchmark on 
-          top of AMD's ROCm platform.
+        - HPL, or High-Performance Linpack, is a benchmark which solves a uniformly
+          random system of linear equations and reports floating-point execution rate.
 
       * -
         - `rocHPL-MxP <https://github.com/amd/InfinityHub-CI/tree/main/hpl-mxp>`_
@@ -216,6 +267,14 @@ Ubuntu versions.
           range of hardware platforms via use of an in-built domain specific language derived
           from the Mako templating engine.
 
+      * -
+        - `PETSc <https://github.com/amd/InfinityHub-CI/tree/main/petsc>`_
+        - Portable, Extensible Toolkit for Scientific Computation (PETSc) is a suite of data structures
+          and routines for the scalable (parallel) solution of scientific applications modeled by partial
+          differential equations. It supports MPI, GPUs through CUDA, HIP, and OpenCL,
+          as well as hybrid MPI-GPU parallelism. It also supports the NEC-SX Tsubasa Vector Engine.
+          PETSc also includes the Toolkit for Advanced Optimization (TAO) library.
+
       * -
         - `RAJA <https://github.com/amd/InfinityHub-CI/tree/main/raja>`_
         - RAJA is a library of C++ software abstractions, primarily developed at Lawrence

docs/how-to/system-debugging.md

@@ -1,9 +1,9 @@
-<head>
-  <meta charset="UTF-8">
-  <meta name="description" content="System debugging guide">
-  <meta name="keywords" content="debug, system-level debug, debug flags, PCIe debug, AMD,
-  ROCm">
-</head>
+---
+myst:
+  html_meta:
+    "description": "Learn more about common system-level debugging measures for ROCm."
+    "keywords": "env, var, sys, PCIe, troubleshooting, admin, error"
+---
 
 # System debugging
 

docs/how-to/tuning-guides/mi300x/index.rst

@@ -1,3 +1,7 @@
+.. meta::
+   :description: Learn about AMD Instinct MI300X system settings, performance tuning, and workload optimization for HPC and AI.
+   :keywords: AMD, Instinct, MI300X, HPC, tuning, accelerator, GPU, resource utilization
+
 ************************
 AMD MI300X tuning guides
 ************************

docs/how-to/tuning-guides/mi300x/system.rst

@@ -1,3 +1,9 @@
+.. meta::
+   :description: Learn about AMD Instinct MI300X system settings and performance tuning.
+   :keywords: AMD, Instinct, MI300X, HPC, tuning, BIOS settings, NBIO, ROCm,
+              environment variable, performance, HIP, Triton, PyTorch TunableOp, vLLM, RCCL,
+              MIOpen, accelerator, GPU, resource utilization
+
 ***************************************
 AMD Instinct MI300X system optimization
 ***************************************

docs/how-to/tuning-guides/mi300x/workload.rst

@@ -1,5 +1,5 @@
 .. meta::
-   :description: AMD Instinct MI300X workload tuning
+   :description: Learn about workload tuning on AMD Instinct MI300X accelerators for optimal performance.
    :keywords: AMD, Instinct, MI300X, HPC, tuning, BIOS settings, NBIO, ROCm,
               environment variable, performance, HIP, Triton, PyTorch TunableOp, vLLM, RCCL,
               MIOpen, accelerator, GPU, resource utilization
@@ -92,7 +92,7 @@ involves configuring tensor parallelism, leveraging advanced features, and
 ensuring efficient execution. Here’s how to optimize vLLM performance:
 
 * Tensor parallelism: Configure the
-  :ref:`tensor-parallel-size parameter <mi300x-vllm-optimize-tp-gemm>` to distribute
+  :ref:`tensor-parallel-size parameter <mi300x-vllm-multiple-gpus>` to distribute
   tensor computations across multiple GPUs. Adjust parameters such as
   ``batch-size``, ``input-len``, and ``output-len`` based on your workload.
 

docs/index.md

@@ -1,9 +1,9 @@
-<head>
-  <meta charset="UTF-8">
-  <meta name="description" content="AMD ROCm documentation">
-  <meta name="keywords" content="documentation, guides, installation, compatibility, support,
-  reference, ROCm, AMD">
-</head>
+---
+myst:
+  html_meta:
+    "description": "Start building for HPC and AI with the performance-first AMD ROCm software stack. Explore how-to guides and reference docs."
+    "keywords": "Radeon, open, compute, platform, install, how, conceptual, reference, home, docs"
+---
 
 # AMD ROCm documentation
 
@@ -42,12 +42,10 @@ ROCm documentation is organized into the following categories:
 * [Fine-tune LLMs and inference optimization](./how-to/llm-fine-tuning-optimization/index.rst)
 * [System optimization](./how-to/system-optimization/index.rst)
 * [AMD Instinct MI300X performance validation and tuning](./how-to/tuning-guides/mi300x/index.rst)
-* [GPU cluster networking](https://rocm.docs.amd.com/projects/gpu-cluster-networking/en/latest/index.html)
 * [System debugging](./how-to/system-debugging.md)
-* [Use MPI](./how-to/gpu-enabled-mpi.rst)
 * [Use advanced compiler features](./conceptual/compiler-topics.md)
 * [Set the number of CUs](./how-to/setting-cus)
-* [Troubleshoot BAR access limitation](./how-to/Bar-Memory.rst)  
+* [Troubleshoot BAR access limitation](./how-to/Bar-Memory.rst)
 * [ROCm examples](https://github.com/amd/rocm-examples)
 :::
 
@@ -64,16 +62,15 @@ ROCm documentation is organized into the following categories:
 * [Oversubscription of hardware resources](./conceptual/oversubscription.rst)
 :::
 
-<!-- markdownlint-disable MD051 -->
 :::{grid-item-card} Reference
 :class-body: rocm-card-banner rocm-hue-6
-
+<!-- markdownlint-disable MD051 -->
 * [ROCm libraries](./reference/api-libraries.md)
 * [ROCm tools, compilers, and runtimes](./reference/rocm-tools.md)
 * [Accelerator and  GPU hardware specifications](./reference/gpu-arch-specs.rst)
 * [Precision support](./reference/precision-support.rst)
 * [Graph safe support](./reference/graph-safe-support.rst)
-:::
 <!-- markdownlint-enable MD051 -->
+:::
 
 ::::

docs/reference/api-libraries.md

@@ -12,11 +12,11 @@
 :gutter: 3
 :class-container: rocm-doc-grid
 
-(artificial-intelligence-apis)=
-
 :::{grid-item-card} Machine Learning and Computer Vision
 :class-body: rocm-card-banner rocm-hue-3
 
+(artificial-intelligence-apis)=
+
 * {doc}`Composable Kernel <composable_kernel:index>`
 * {doc}`MIGraphX <amdmigraphx:index>`
 * {doc}`MIOpen <miopen:index>`
@@ -28,30 +28,30 @@
 * {doc}`ROCm Performance Primitives (RPP) <rpp:index>`
 :::
 
-(cpp-primitives)=
-
 :::{grid-item-card} Primitives
 :class-body: rocm-card-banner rocm-hue-12
 
+(cpp-primitives)=
+
 * {doc}`hipCUB <hipcub:index>`
 * {doc}`hipTensor <hiptensor:index>`
 * {doc}`rocPRIM <rocprim:index>`
 * {doc}`rocThrust <rocthrust:index>`
 :::
 
-(communication-libraries)=
-
 :::{grid-item-card} Communication
 :class-body: rocm-card-banner rocm-hue-7
 
+(communication-libraries)=
+
 * {doc}`RCCL <rccl:index>`
 :::
 
-(math-apis)=
-
 :::{grid-item-card} Math
 :class-body: rocm-card-banner rocm-hue-6
 
+(math-apis)=
+
 * [half](https://github.com/ROCm/half)
 * {doc}`hipBLAS <hipblas:index>` / {doc}`rocBLAS <rocblas:index>`
 * {doc}`hipBLASLt <hipblaslt:index>`

docs/reference/precision-support.rst

@@ -467,7 +467,7 @@ description, refer to the corresponding library data type support page.
         - ❌/❌
         - ❌/❌
       *
-        - rocRAND (:doc:`details <rocrand:data-type-support>`)
+        - rocRAND (:doc:`details <rocrand:api-reference/data-type-support>`)
         - -/❌
         - -/❌
         - -/✅

docs/reference/rocm-tools.md

@@ -12,11 +12,11 @@
 :gutter: 3
 :class-container: rocm-doc-grid
 
-(system-tools)=
-
 :::{grid-item-card} System Management
 :class-body: rocm-card-banner rocm-hue-1
 
+(system-tools)=
+
 * {doc}`AMD SMI <amdsmi:index>`
 * {doc}`ROCm Data Center Tool <rdc:index>`
 * {doc}`rocminfo <rocminfo:index>`
@@ -24,11 +24,11 @@
 * {doc}`ROCm Validation Suite <rocmvalidationsuite:index>`
 :::
 
-(performance-tools)=
-
 :::{grid-item-card} Performance
 :class-body: rocm-card-banner rocm-hue-6
 
+(performance-tools)=
+
 * {doc}`ROCm Bandwidth Test <rocm_bandwidth_test:index>`
 * {doc}`ROCm Compute Profiler <rocprofiler-compute:index>`
 * {doc}`ROCm Systems Profiler <rocprofiler-systems:index>`
@@ -37,11 +37,11 @@
 * {doc}`ROCTracer <roctracer:index>`
 :::
 
-(development-tools)=
-
 :::{grid-item-card} Development
 :class-body: rocm-card-banner rocm-hue-1
 
+(development-tools)=
+
 * {doc}`ROCm CMake <rocmcmakebuildtools:index>`
 * {doc}`HIPIFY <hipify:index>`
 * {doc}`ROCdbgapi <rocdbgapi:index>`
@@ -49,21 +49,21 @@
 * {doc}`ROCr Debug Agent <rocr_debug_agent:index>`
 :::
 
-(compilers)=
-
 :::{grid-item-card} Compilers
 :class-body: rocm-card-banner rocm-hue-8
 
+(compilers)=
+
 * {doc}`ROCm Compilers <llvm-project:index>`
 * {doc}`HIPCC <hipcc:index>`
 * [FLANG](https://github.com/ROCm/flang/)
 :::
 
-(runtimes)=
-
 :::{grid-item-card} Runtimes
 :class-body: rocm-card-banner rocm-hue-12
 
+(runtimes)=
+
 * {doc}`AMD Compute Language Runtime (CLR) <hip:understand/amd_clr>`
 * {doc}`HIP <hip:index>`
 * {doc}`ROCR-Runtime <rocr-runtime:index>`

docs/release/versions.md

@@ -1,3 +1,5 @@
+:orphan:
+
 <head>
   <meta charset="UTF-8">
   <meta name="description" content="ROCm release history">

docs/sphinx/_toc.yml.in

@@ -94,10 +94,6 @@ subtrees:
         title: System tuning
       - file: how-to/tuning-guides/mi300x/workload.rst
         title: Workload tuning
-  - url: https://rocm.docs.amd.com/projects/gpu-cluster-networking/en/${branch}/index.html
-    title: GPU cluster networking
-  - file: how-to/gpu-enabled-mpi.rst
-    title: Use MPI
   - file: how-to/system-debugging.md
   - file: conceptual/compiler-topics.md
     title: Use advanced compiler features
@@ -179,7 +175,7 @@ subtrees:
 - caption: Contribute
   entries:
   - file: contribute/contributing.md
-    title: Contributing to the ROCm docmentation
+    title: Contributing to the ROCm documentation
     subtrees:
     - entries:
       - file: contribute/toolchain.md