Update llama special tokens #1
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| name: Android | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - release/* | |
| pull_request: | |
| paths: | |
| - .ci/docker/** | |
| - .github/workflows/android.yml | |
| - build/*android*.sh | |
| - install_requirements.sh | |
| - examples/demo-apps/android/** | |
| - extension/android/** | |
| - extension/module/** | |
| workflow_dispatch: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
| cancel-in-progress: true | |
| jobs: | |
| build-llm-demo: | |
| name: build-llm-demo | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| strategy: | |
| matrix: | |
| tokenizer: [bpe, tiktoken] | |
| with: | |
| runner: linux.2xlarge | |
| docker-image: executorch-ubuntu-22.04-clang12-android | |
| submodules: 'true' | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| upload-artifact: android-apps | |
| script: | | |
| set -eux | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh buck2 | |
| export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded | |
| # Build LLM Demo for Android | |
| bash build/build_android_llm_demo.sh ${{ matrix.tokenizer }} ${ARTIFACTS_DIR_NAME} | |
| # Upload artifacts to S3. The artifacts are needed not only by the device farm but also TorchChat | |
| upload-artifacts: | |
| needs: build-llm-demo | |
| runs-on: linux.2xlarge | |
| steps: | |
| - name: Download the artifacts from GitHub | |
| uses: actions/download-artifact@v3 | |
| with: | |
| # The name here needs to match the name of the upload-artifact parameter | |
| name: android-apps | |
| path: ${{ runner.temp }}/artifacts/ | |
| - name: Verify the artifacts | |
| shell: bash | |
| working-directory: ${{ runner.temp }}/artifacts/ | |
| run: | | |
| ls -lah ./ | |
| - name: Upload the artifacts to S3 | |
| uses: seemethere/upload-artifact-s3@v5 | |
| with: | |
| s3-bucket: gha-artifacts | |
| s3-prefix: | | |
| ${{ github.repository }}/${{ github.run_id }}/artifact | |
| # NOTE: Consume stale artifacts won't make sense for benchmarking as the goal is always to | |
| # benchmark models as fresh as possible. I'm okay to keep the 14 retention-days for now | |
| # for TorchChat until we have a periodic job can publish it more often. Ideally I want to | |
| # reduce it to <= 2 day, meaning the benchmark job will run daily. | |
| retention-days: 14 | |
| if-no-files-found: ignore | |
| path: ${{ runner.temp }}/artifacts/ | |
| # Running Android emulator directly on the runner and not using Docker | |
| run-emulator: | |
| needs: build-llm-demo | |
| runs-on: amz2023.linux.4xlarge | |
| env: | |
| ANDROID_NDK_VERSION: r26c | |
| API_LEVEL: 34 | |
| steps: | |
| - name: Setup SSH (Click me for login details) | |
| uses: pytorch/test-infra/.github/actions/setup-ssh@main | |
| with: | |
| github-secret: ${{ secrets.GITHUB_TOKEN }} | |
| instructions: | | |
| This is used to run Android emulators, ANDROID_HOME is installed at /opt/android/sdk | |
| - uses: actions/checkout@v3 | |
| with: | |
| submodules: false | |
| - name: Setup conda | |
| uses: pytorch/test-infra/.github/actions/setup-miniconda@main | |
| with: | |
| python-version: '3.10' | |
| - name: Install Android dependencies | |
| shell: bash | |
| run: | | |
| set -eux | |
| # Reuse the script that install Android on ET Docker image | |
| sudo -E bash .ci/docker/common/install_android.sh | |
| - name: Gradle cache | |
| uses: gradle/actions/setup-gradle@v3 | |
| - name: AVD cache | |
| uses: actions/cache@v4 | |
| id: avd-cache | |
| with: | |
| path: | | |
| ~/.android/avd/* | |
| ~/.android/adb* | |
| key: avd-${{ env.API_LEVEL }} | |
| # NB: It takes about 10m to cold boot the emulator here | |
| - name: Run Android emulator | |
| env: | |
| ANDROID_HOME: /opt/android/sdk | |
| uses: reactivecircus/android-emulator-runner@v2 | |
| with: | |
| api-level: ${{ env.API_LEVEL }} | |
| # NB: x86_64 emulator is slow because the lack of KVM support on AWS, it | |
| # seems that we can use metal instance for that but it hasn't been tried | |
| # out yet. Also arm64-v8a arch requires an ARM runner | |
| arch: x86_64 | |
| script: ./build/run_android_emulator.sh | |
| # NB: This is to boot the emulator faster following the instructions on | |
| # https://github.com/ReactiveCircus/android-emulator-runner. The max number | |
| # of cores we can set is 6, any higher number will be reduced to 6. | |
| cores: 6 | |
| ram-size: 12288M | |
| force-avd-creation: false | |
| disable-animations: true | |
| emulator-options: -no-snapshot-save -no-window -gpu swiftshader_indirect -noaudio -no-boot-anim -camera-back none | |
| # This is to make sure that the job doesn't fail flakily | |
| emulator-boot-timeout: 900 | |
| # Let's see how expensive this job is, we might want to tone it down by running it periodically | |
| test-llama-app: | |
| # Only PR from ExecuTorch itself has permission to access AWS, forked PRs will fail to | |
| # authenticate with the cloud service | |
| if: ${{ !github.event.pull_request.head.repo.fork }} | |
| needs: upload-artifacts | |
| permissions: | |
| id-token: write | |
| contents: read | |
| uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main | |
| strategy: | |
| matrix: | |
| # https://github.com/pytorch/executorch/blob/main/examples/demo-apps/android/LlamaDemo/README.md#alternative-2-build-from-local-machine | |
| # mentions that tiktoken is only for Llama3. So, we can export it later in another archive | |
| # like https://ossci-assets.s3.amazonaws.com/executorch-android-llama2-7b-0717.zip when this is | |
| # updated to run Llama3 | |
| tokenizer: [bpe] | |
| with: | |
| device-type: android | |
| runner: linux.2xlarge | |
| test-infra-ref: '' | |
| # This is the ARN of ExecuTorch project on AWS | |
| project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6 | |
| # This is the custom Android device pool that only includes Samsung Galaxy S2x | |
| device-pool-arn: arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/e59f866a-30aa-4aa1-87b7-4510e5820dfa | |
| # Uploaded to S3 from the previous job, the name of the app comes from the project itself | |
| android-app-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/llm_demo_${{ matrix.tokenizer }}/app-debug.apk | |
| android-test-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifact/llm_demo_${{ matrix.tokenizer }}/app-debug-androidTest.apk | |
| test-spec: https://ossci-android.s3.amazonaws.com/executorch/android-llm-device-farm-test-spec.yml | |
| # Among the input, this is the biggest file, so it is cached on AWS to make the test faster. Note that the file is deleted by AWS after 30 | |
| # days and the job will automatically re-upload the file when that happens. | |
| extra-data: https://ossci-assets.s3.amazonaws.com/executorch-android-llama2-7b-0717.zip |