Merge Dev

.github/scripts/process_individual_tests.py

@@ -35,3 +35,5 @@
     ret = mlc.access(ii)
     if ret['return'] > 0:
         raise Exception(r['error'])
+    ii = {'action': 'rm', 'target': 'cache', 'f': True}
+    ret = mlc.access(ii)

.github/workflows/build_wheel.yml

@@ -10,7 +10,6 @@ on:
     paths:
       - VERSION
 
-
 jobs:
 
   build_wheels:

.github/workflows/check-broken-links.yml

@@ -1,5 +1,4 @@
 name: "Check .md README files for broken links"
-
 on:
   pull_request: 
     branches: 
@@ -13,7 +12,6 @@ jobs:
     steps:
     - uses: actions/checkout@v4
 
-
     # Checks the status of hyperlinks in .md files in verbose mode
     - name: Check links
       uses: gaurav-nelson/github-action-markdown-link-check@v1

.github/workflows/test-mlc-script-features.yml

@@ -43,6 +43,11 @@ jobs:
         mlcr get,dataset,preprocessed,imagenet,_NHWC --quiet
         mlc search cache --tags=get,dataset,preprocessed,imagenet,-_NCHW
         mlc search cache --tags=get,dataset,preprocessed,imagenet,-_NHWC
+        # Tests run-scripts on windows,ubuntu,macos
+
+    - name: Test native script name variants
+      run: |
+        mlcr get,wkhtmltopdf --quiet
 
     - name: Test versions
       continue-on-error: true
@@ -52,6 +57,8 @@ jobs:
         test $? -eq 0 || exit $?
         mlcr get,generic-python-lib,_package.scipy --version=1.9.2 --quiet
         test $? -eq 0 || exit $?
+        mlc find cache --tags=get,generic-python-lib,_package.scipy,version-1.9.3
+        test $? -eq 0 || exit $?
         # Need to add find cache here
         # mlcr get,generic-python-lib,_package.scipy --version=1.9.3 --quiet --only_execute_from_cache=True
         # test $? -eq 0 || exit 0

.github/workflows/test-mlperf-inference-resnet50-closed-division.yml

@@ -0,0 +1,104 @@
+name: MLPerf inference ResNet50 Closed Division for testing Compliance
+
+on:
+  schedule:
+    - cron: '0 0 * * 0' # Runs once a week on Sunday at 00:00 UTC
+  workflow_dispatch: {} # Allows manual triggering of the workflow
+jobs:
+  build:
+    name: MLPerf inference MLCommons ResNet50 Closed Division
+    runs-on: ${{ matrix.os }}
+    env:
+      MLC_INDEX: "on"
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: [ "3.12" ]
+        backend: [ "onnxruntime", "tf" ]
+        implementation: [ "python", "cpp" ]
+        exclude:
+          - backend: tf
+            implementation: cpp
+          - os: macos-latest
+            backend: tf
+          - os: windows-latest
+            implementation: cpp
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        fetch-depth: 0
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Configure git longpaths (Windows)
+      if: matrix.os == 'windows-latest'
+      run: |
+        git config --system core.longpaths true
+
+    - name: Install mlcflow
+      run: |
+       pip install mlcflow
+       pip install tabulate
+
+    - name: Pull MLOps repo
+      run: |
+        mlc pull repo mlcommons@mlperf-automations --branch=dev         
+
+    - name: Test MLPerf Inference ResNet50 (Windows)
+      if: matrix.os == 'windows-latest'
+      run: |
+        mlcr run-mlperf,inference,_submission,_short,_all-scenarios --division=closed --submitter="MLCommons" --pull_changes=yes --pull_inference_changes=yes --hw_name="gh_${{ matrix.os }} x86" --model=resnet50 --adr.loadgen.tags=_from-pip --pip_loadgen=yes --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --test_query_count=1000 --quiet --execution_mode=valid
+
+    - name: Test MLPerf Inference ResNet50 Offline(Linux/macOS)
+      if: matrix.os != 'windows-latest'
+      run: |
+        mlcr run-mlperf,inference,_submission,_short,_all-scenarios --division=closed --submitter="MLCommons" --pull_changes=yes --pull_inference_changes=yes --hw_name="gh_${{ matrix.os }} x86" --model=resnet50 --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --test_query_count=1000 --quiet --execution_mode=valid 
+
+    # Step for Linux/MacOS
+    - name: Randomly Execute Step (Linux/MacOS)
+      if: runner.os != 'Windows'
+      run: |
+        RANDOM_NUMBER=$((RANDOM % 10))
+        echo "Random number is $RANDOM_NUMBER"
+        if [ "$RANDOM_NUMBER" -eq 0 ]; then
+          echo "run_step=true" >> $GITHUB_ENV
+        else
+          echo "run_step=false" >> $GITHUB_ENV
+        fi
+
+    # Step for Windows
+    - name: Randomly Execute Step (Windows)
+      if: runner.os == 'Windows'
+      run: |
+        $RANDOM_NUMBER = Get-Random -Maximum 10
+        Write-Host "Random number is $RANDOM_NUMBER"
+        if ($RANDOM_NUMBER -eq 0) {
+          Write-Host "run_step=true" | Out-File -FilePath $Env:GITHUB_ENV -Append
+        } else {
+          Write-Host "run_step=false" | Out-File -FilePath $Env:GITHUB_ENV -Append
+        }
+
+    - name: Retrieve secrets from Keeper
+      if: github.repository_owner == 'mlcommons' && env.run_step == 'true'
+      id: ksecrets
+      uses: Keeper-Security/ksm-action@master
+      with:
+        keeper-secret-config: ${{ secrets.KSM_CONFIG }}
+        secrets: |-
+          ubwkjh-Ii8UJDpG2EoU6GQ/field/Access Token > env:PAT
+    - name: Push Results
+      env:
+        GITHUB_TOKEN: ${{ env.PAT }}
+      if: github.repository_owner == 'mlcommons' && env.run_step == 'true'
+      run: |
+        git config --global user.name "mlcommons-bot"
+        git config --global user.email "mlcommons-bot@users.noreply.github.com"
+        git config --global credential.https://github.com.helper ""
+        git config --global credential.https://github.com.helper "!gh auth git-credential"
+        git config --global credential.https://gist.github.com.helper ""
+        git config --global credential.https://gist.github.com.helper "!gh auth git-credential"
+        mlcr push,github,mlperf,inference,submission --repo_url=https://github.com/mlcommons/mlperf_inference_test_submissions_v5.0 --repo_branch=auto-update --commit_message="Results from R50 GH action on ${{ matrix.os }}" --quiet
+

README.md

@@ -8,7 +8,7 @@
 
 Welcome to the **MLPerf Automations and Scripts** repository! This repository is your go-to resource for tools, automations, and scripts designed to streamline the execution of **MLPerf benchmarks**—with a strong emphasis on **MLPerf Inference benchmarks**.
 
-Starting **January 2025**, MLPerf automation scripts will be powered by the advanced [MLCFlow](https://github.com/mlcommons/mlcflow) automation interface. This modern framework replaces the previous [Collective Mind (CM)](https://github.com/mlcommons/ck/tree/master/cm), providing a more robust, efficient, and self-contained solution for benchmarking workflows, making MLPerf automations independent of any external projects. 
+Starting **January 2025**, MLPerf automation scripts is powered by [MLCFlow](https://github.com/mlcommons/mlcflow) automation interface. This new and simplified framework replaces the previous [Collective Mind (CM)](https://github.com/mlcommons/ck/tree/master/cm), providing a more robust, efficient, and self-contained solution for benchmarking workflows, making MLPerf automations independent of any external projects. 
 
 
 ---
@@ -17,7 +17,6 @@ Starting **January 2025**, MLPerf automation scripts will be powered by the adva
 - **Automated Benchmarking** – Simplifies running MLPerf Inference benchmarks with minimal manual intervention.
 - **Modular and Extensible** – Easily extend the scripts to support additional benchmarks and configurations.
 - **Seamless Integration** – Compatible with Docker, cloud environments, and local machines.
-- **MLCFlow (MLC) Integration** – Utilizes the MLC framework to enhance reproducibility and automation.
 
 ---
 
@@ -61,6 +60,7 @@ This project is made possible through the generous support of:
 - [OctoML](https://octoml.ai)
 - [cKnowledge.org](https://cKnowledge.org)
 - [cTuning Foundation](https://cTuning.org)
+- [GATEOverflow](https://gateoverflow.in)
 - [MLCommons](https://mlcommons.org)
 
 We appreciate their contributions and sponsorship!