apple-perf #195
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| name: apple-perf | |
| on: | |
| schedule: | |
| - cron: 0 1 * * * | |
| # Note: GitHub has an upper limit of 10 inputs | |
| workflow_dispatch: | |
| inputs: | |
| models: | |
| description: Models to be benchmarked | |
| required: false | |
| type: string | |
| default: stories110M | |
| devices: | |
| description: Target devices to run benchmark | |
| required: false | |
| type: string | |
| default: apple_iphone_15 | |
| delegates: | |
| description: Backend delegates | |
| required: false | |
| type: string | |
| default: xnnpack | |
| benchmark_configs: | |
| description: The list of configs used the benchmark | |
| required: false | |
| type: string | |
| test_spec: | |
| description: The test spec to drive the test on AWS devices | |
| required: false | |
| type: string | |
| workflow_call: | |
| inputs: | |
| models: | |
| description: Models to be benchmarked | |
| required: false | |
| type: string | |
| default: stories110M | |
| devices: | |
| description: Target devices to run benchmark | |
| required: false | |
| type: string | |
| default: apple_iphone_15 | |
| delegates: | |
| description: Backend delegates | |
| required: false | |
| type: string | |
| default: xnnpack | |
| benchmark_configs: | |
| description: The list of configs used the benchmark | |
| required: false | |
| type: string | |
| test_spec: | |
| description: The test spec to drive the test on AWS devices | |
| required: false | |
| type: string | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
| cancel-in-progress: true | |
| jobs: | |
| set-parameters: | |
| runs-on: linux.2xlarge | |
| outputs: | |
| models: ${{ steps.set-parameters.outputs.models }} | |
| devices: ${{ steps.set-parameters.outputs.devices }} | |
| delegates: ${{ steps.set-parameters.outputs.delegates }} | |
| steps: | |
| - name: Set parameters | |
| id: set-parameters | |
| shell: bash | |
| env: | |
| # Separate default values from the workflow dispatch. To ensure defaults are accessible | |
| # during scheduled runs and to provide flexibility for different defaults between | |
| # on-demand and periodic benchmarking. | |
| CRON_DEFAULT_MODELS: "stories110M,mv3,mv2,ic4,ic3,resnet50,edsr,mobilebert,w2l" | |
| CRON_DEFAULT_DEVICES: "apple_iphone_15" | |
| CRON_DEFAULT_DELEGATES: "xnnpack,coreml,mps" | |
| run: | | |
| set -ex | |
| MODELS="${{ inputs.models }}" | |
| if [ -z "$MODELS" ]; then | |
| MODELS="$CRON_DEFAULT_MODELS" | |
| fi | |
| DEVICES="${{ inputs.devices }}" | |
| if [ -z "$DEVICES" ]; then | |
| DEVICES="$CRON_DEFAULT_DEVICES" | |
| fi | |
| DELEGATES="${{ inputs.delegates }}" | |
| if [ -z "$DELEGATES" ]; then | |
| DELEGATES="$CRON_DEFAULT_DELEGATES" | |
| fi | |
| # Mapping devices to their corresponding device-pool-arn | |
| declare -A DEVICE_POOL_ARNS | |
| DEVICE_POOL_ARNS[apple_iphone_15]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/3b5acd2e-92e2-4778-b651-7726bafe129d" | |
| # Resolve device names with their corresponding ARNs | |
| if [[ ! $(echo "$DEVICES" | jq empty 2>/dev/null) ]]; then | |
| DEVICES=$(echo "$DEVICES" | jq -Rc 'split(",")') | |
| fi | |
| declare -a MAPPED_ARNS=() | |
| for DEVICE in $(echo "$DEVICES" | jq -r '.[]'); do | |
| if [[ -z "${DEVICE_POOL_ARNS[$DEVICE]}" ]]; then | |
| echo "Error: No ARN found for device '$DEVICE'. Abort." >&2 | |
| exit 1 | |
| fi | |
| MAPPED_ARNS+=("${DEVICE_POOL_ARNS[$DEVICE]}") | |
| done | |
| echo "models=$(echo $MODELS | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT | |
| MAPPED_ARNS_JSON=$(printf '%s\n' "${MAPPED_ARNS[@]}" | jq -R . | jq -s .) | |
| echo "devices=$(echo "$MAPPED_ARNS_JSON" | jq -c .)" >> $GITHUB_OUTPUT | |
| echo "delegates=$(echo $DELEGATES | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT | |
| export-models: | |
| name: export-models | |
| uses: pytorch/test-infra/.github/workflows/macos_job.yml@main | |
| needs: set-parameters | |
| strategy: | |
| matrix: | |
| model: ${{ fromJson(needs.set-parameters.outputs.models) }} | |
| delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }} | |
| fail-fast: false | |
| with: | |
| # NB: Need to use our AWS MacOS runner to upload large models to S3 | |
| runner: macos-m1-stable | |
| python-version: '3.11' | |
| submodules: 'true' | |
| timeout: 60 | |
| upload-artifact: ios-models | |
| upload-artifact-to-s3: true | |
| script: | | |
| set -eux | |
| echo "::group::Setting up CI environment" | |
| .ci/scripts/setup-conda.sh | |
| BUILD_TOOL=cmake | |
| # Setup MacOS dependencies as there is no Docker support on MacOS atm | |
| GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| .ci/scripts/setup-macos.sh "${BUILD_TOOL}" | |
| if [[ ${{ matrix.delegate }} == "coreml" ]]; then | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| backends/apple/coreml/scripts/install_requirements.sh | |
| fi | |
| if [[ ${{ matrix.delegate }} == "mps" ]]; then | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| backends/apple/mps/install_requirements.sh | |
| fi | |
| ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }} | |
| echo "::endgroup::" | |
| echo "::group::Exporting ${{ matrix.delegate }} model: ${{ matrix.model }}" | |
| BUILD_MODE="cmake" | |
| DTYPE="fp32" | |
| if [[ ${{ matrix.model }} =~ ^stories* ]]; then | |
| # Install requirements for export_llama | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| bash examples/models/llama/install_requirements.sh | |
| # Test llama2 | |
| if [[ ${{ matrix.delegate }} == "xnnpack" ]]; then | |
| DELEGATE_CONFIG="xnnpack+custom+qe" | |
| elif [[ ${{ matrix.delegate }} == "coreml" ]]; then | |
| DELEGATE_CONFIG="coreml" | |
| elif [[ ${{ matrix.delegate }} == "mps" ]]; then | |
| DELEGATE_CONFIG="mps" | |
| fi | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| bash .ci/scripts/test_llama.sh "${{ matrix.model }}" "${BUILD_MODE}" "${DTYPE}" "${DELEGATE_CONFIG}" "${ARTIFACTS_DIR_NAME}" | |
| else | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| bash .ci/scripts/test_model.sh "${{ matrix.model }}" "${BUILD_MODE}" "${{ matrix.delegate }}" "${ARTIFACTS_DIR_NAME}" | |
| fi | |
| echo "::endgroup::" | |
| build-benchmark-app: | |
| name: build-benchmark-app | |
| uses: pytorch/test-infra/.github/workflows/macos_job.yml@main | |
| needs: | |
| - set-parameters | |
| secrets: inherit | |
| with: | |
| runner: macos-latest-xlarge | |
| python-version: '3.11' | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| upload-artifact: ios-apps | |
| secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD | |
| timeout: 90 | |
| script: | | |
| set -eux | |
| echo "::group::Setting up CI environment" | |
| .ci/scripts/setup-conda.sh | |
| BUILD_TOOL=cmake | |
| # Setup MacOS dependencies as there is no Docker support on MacOS atm | |
| GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| .ci/scripts/setup-macos.sh "${BUILD_TOOL}" | |
| export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded | |
| # Setup Apple certificate for iOS development | |
| BUILD_PROVISION_PROFILE_BASE64="${SECRET_EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64}" \ | |
| BUILD_CERTIFICATE_BASE64="${SECRET_BUILD_CERTIFICATE_BASE64}" \ | |
| KEYCHAIN_PASSWORD="${SECRET_KEYCHAIN_PASSWORD}" \ | |
| .ci/scripts/setup-ios.sh | |
| # Install CoreML Backend Requirements | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| backends/apple/coreml/scripts/install_requirements.sh | |
| # Install MPS Backend Requirements | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| backends/apple/mps/install_requirements.sh | |
| echo "::endgroup::" | |
| echo "::group::Build ExecuTorch iOS frameworks" | |
| FRAMEWORKS=( | |
| "executorch" | |
| "backend_coreml" | |
| "backend_mps" | |
| "backend_xnnpack" | |
| "kernels_custom" | |
| "kernels_optimized" | |
| "kernels_portable" | |
| "kernels_quantized" | |
| ) | |
| # Build Release iOS Frameworks | |
| PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
| build/build_apple_frameworks.sh --coreml --custom --mps --optimized --portable --quantized --xnnpack | |
| mkdir -p extension/benchmark/apple/Benchmark/Frameworks | |
| for FRAMEWORK in "${FRAMEWORKS[@]}"; do ( | |
| cp -r "cmake-out/${FRAMEWORK}.xcframework" extension/benchmark/apple/Benchmark/Frameworks/ | |
| ) done | |
| echo "::endgroup::" | |
| # NB: Although exported models can be copied to this directory and bundled together with the | |
| # app, we don't use this in CI and rely on AWS extra data parameter to make the model and the | |
| # tokenizer available to the benchmark. This decouples the app and the model. We just need to | |
| # create the directory here to pass the build | |
| mkdir -p extension/benchmark/apple/Benchmark/Models | |
| ${CONDA_RUN} --no-capture-output \ | |
| build/build_apple_llm_demo.sh ${ARTIFACTS_DIR_NAME} | |
| upload-benchmark-app: | |
| needs: build-benchmark-app | |
| runs-on: linux.2xlarge | |
| steps: | |
| - name: Download the apps from GitHub | |
| uses: actions/download-artifact@v3 | |
| with: | |
| # The name here needs to match the name of the upload-artifact parameter | |
| name: ios-apps | |
| path: ${{ runner.temp }}/artifacts/ | |
| - name: Verify the apps | |
| shell: bash | |
| working-directory: ${{ runner.temp }}/artifacts/ | |
| run: | | |
| ls -lah ./ | |
| - name: Upload the apps to S3 | |
| uses: seemethere/upload-artifact-s3@v5 | |
| with: | |
| s3-bucket: gha-artifacts | |
| s3-prefix: | | |
| ${{ github.repository }}/${{ github.run_id }}/artifacts | |
| retention-days: 14 | |
| if-no-files-found: ignore | |
| path: ${{ runner.temp }}/artifacts/ | |
| benchmark-on-device: | |
| if: always() | |
| needs: | |
| - set-parameters | |
| - upload-benchmark-app | |
| - export-models | |
| permissions: | |
| id-token: write | |
| contents: read | |
| uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main | |
| strategy: | |
| matrix: | |
| model: ${{ fromJson(needs.set-parameters.outputs.models) }} | |
| delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }} | |
| device: ${{ fromJson(needs.set-parameters.outputs.devices) }} | |
| fail-fast: false | |
| with: | |
| # Due to scheduling a job may be pushed beyond the default 60m threshold | |
| timeout: 120 | |
| device-type: ios | |
| # For iOS testing, the runner just needs to call AWS Device Farm, so there is no need to run this on macOS | |
| runner: linux.2xlarge | |
| test-infra-ref: '' | |
| # This is the ARN of ExecuTorch project on AWS | |
| project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6 | |
| device-pool-arn: ${{ matrix.device }} | |
| # Uploaded to S3 from the previous job | |
| ios-ipa-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.ipa | |
| ios-xctestrun-zip: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.xctestrun.zip | |
| test-spec: ${{ inputs.test_spec || 'https://ossci-ios.s3.amazonaws.com/executorch/default-ios-device-farm-appium-test-spec.yml' }} | |
| extra-data: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/${{ matrix.model }}_${{ matrix.delegate }}/model.zip | |
| upload-benchmark-results: | |
| needs: | |
| - benchmark-on-device | |
| if: always() | |
| runs-on: linux.2xlarge | |
| environment: upload-benchmark-results | |
| permissions: | |
| id-token: write | |
| contents: read | |
| steps: | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: false | |
| - name: Authenticate with AWS | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results | |
| # The max duration enforced by the server side | |
| role-duration-seconds: 18000 | |
| aws-region: us-east-1 | |
| - name: Setup conda | |
| uses: pytorch/test-infra/.github/actions/setup-miniconda@main | |
| with: | |
| python-version: '3.10' | |
| - name: Download the list of artifacts from S3 | |
| env: | |
| ARTIFACTS_S3_DIR: s3://gha-artifacts/device_farm/${{ github.run_id }}/${{ github.run_attempt }}/artifacts/ | |
| shell: bash | |
| run: | | |
| set -eux | |
| ${CONDA_RUN} python -mpip install awscli==1.32.18 | |
| mkdir -p artifacts | |
| pushd artifacts | |
| ${CONDA_RUN} aws s3 sync "${ARTIFACTS_S3_DIR}" . | |
| popd | |
| ls -lah artifacts | |
| - name: Extract the benchmark results JSON | |
| shell: bash | |
| run: | | |
| set -eux | |
| mkdir -p benchmark-results | |
| for ARTIFACTS_BY_JOB in artifacts/*.json; do | |
| [ -f "${ARTIFACTS_BY_JOB}" ] || break | |
| echo "${ARTIFACTS_BY_JOB}" | |
| ${CONDA_RUN} python .github/scripts/extract_benchmark_results.py \ | |
| --artifacts "${ARTIFACTS_BY_JOB}" \ | |
| --output-dir benchmark-results \ | |
| --repo ${{ github.repository }} \ | |
| --head-branch ${{ github.head_ref || github.ref_name }} \ | |
| --workflow-name "${{ github.workflow }}" \ | |
| --workflow-run-id ${{ github.run_id }} \ | |
| --workflow-run-attempt ${{ github.run_attempt }} | |
| done | |
| ls -lah benchmark-results | |
| for BENCHMARK_RESULTS in benchmark-results/*.json; do | |
| cat "${BENCHMARK_RESULTS}" | |
| echo | |
| done | |
| - name: Upload the benchmark results | |
| uses: pytorch/test-infra/.github/actions/upload-benchmark-results@main | |
| with: | |
| benchmark-results-dir: 'benchmark-results' | |
| dry-run: false |