Bump axios from 1.8.2 to 1.12.0 in /visualization-vue/djl-training-ui… #495
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| name: Canary-GPU | ||
|
Check failure on line 1 in .github/workflows/canary-gpu.yml
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||
| on: | ||
| workflow_call: | ||
| inputs: | ||
| repo-id: | ||
| description: 'staging repository id to test' | ||
| required: false | ||
| type: string | ||
| default: '' | ||
| djl-version: | ||
| description: 'djl version to test' | ||
| type: string | ||
| required: false | ||
| pt-version: | ||
| description: 'pytorch version to test' | ||
| type: string | ||
| required: false | ||
| default: '' | ||
| workflow_dispatch: | ||
| inputs: | ||
| repo-id: | ||
| description: 'staging repository id to test' | ||
| required: false | ||
| default: '' | ||
| djl-version: | ||
| description: 'djl version to test' | ||
| required: false | ||
| pt-version: | ||
| description: 'pytorch version to test' | ||
| required: false | ||
| default: '' | ||
| jobs: | ||
| canary-test-cuda113: | ||
| if: github.repository == 'deepjavalibrary/djl-demo' | ||
| runs-on: [ self-hosted, gpu ] | ||
| container: | ||
| image: nvidia/cuda:11.3.1-cudnn8-runtime-ubuntu20.04 | ||
| options: --gpus all --runtime=nvidia | ||
| env: | ||
| AWS_REGION: us-east-1 | ||
| DJL_STAGING: ${{github.event.inputs.repo-id}} | ||
| DJL_VERSION: ${{github.event.inputs.djl-version}} | ||
| PT_VERSION: ${{github.event.inputs.pt-version}} | ||
| timeout-minutes: 30 | ||
| needs: create-gpu-runner | ||
| steps: | ||
| - name: Setup Environment | ||
| run: | | ||
| apt-get update | ||
| apt-get install -y libgomp1 | ||
| - uses: actions/checkout@v3 | ||
| - name: Set up JDK 17 | ||
| uses: actions/setup-java@v3 | ||
| with: | ||
| java-version: 17 | ||
| distribution: corretto | ||
| - name: Test MXNet | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=mxnet-native-auto ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=mxnet-native-mkl ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| - name: Test PyTorch | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=pytorch-native-auto PYTORCH_VERSION=$PT_VERSION ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| - name: Test Tensorflow | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=tensorflow-native-auto ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=tensorflow-native-cpu ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| - name: Test Xgboost GPU | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=xgboost-gpu PYTORCH_VERSION=1.13.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| canary-test-cuda128: | ||
| if: github.repository == 'deepjavalibrary/djl-demo' | ||
| runs-on: [ self-hosted, gpu ] | ||
| container: | ||
| image: nvidia/cuda:12.8.1-devel-ubuntu22.04 | ||
| options: --gpus all --runtime=nvidia | ||
| env: | ||
| AWS_REGION: us-east-1 | ||
| DJL_STAGING: ${{github.event.inputs.repo-id}} | ||
| DJL_VERSION: ${{github.event.inputs.djl-version}} | ||
| PT_VERSION: ${{github.event.inputs.pt-version}} | ||
| timeout-minutes: 60 | ||
| needs: create-gpu-runner | ||
| steps: | ||
| - name: Setup Environment | ||
| run: | | ||
| apt-get update | ||
| apt-get install -y libgomp1 libibverbs-dev librdmacm1 | ||
| - uses: actions/checkout@v3 | ||
| - name: Set up JDK 17 | ||
| uses: actions/setup-java@v3 | ||
| with: | ||
| java-version: 17 | ||
| distribution: corretto | ||
| - name: Test MXNet | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=mxnet-native-auto ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=mxnet-native-mkl ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| - name: Test PyTorch | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=pytorch-native-auto PYTORCH_VERSION=$PT_VERSION ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-auto PYTORCH_VERSION=2.5.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-auto PYTORCH_VERSION=2.7.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-auto PYTORCH_PRECXX11=true PYTORCH_VERSION=2.5.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-cpu ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| # DJL_ENGINE=pytorch-native-cu128 ./gradlew clean run | ||
| # rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-cu124 PT_VERSION=2.5.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| DJL_ENGINE=pytorch-native-cu124-precxx11 PT_VERSION=2.5.1 ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| # DJL_ENGINE=pytorch-native-cu128 PT_VERSION=2.7.1 ./gradlew clean run | ||
| # rm -rf /root/.djl.ai/ | ||
| - name: Test Xgboost GPU | ||
| working-directory: canary | ||
| run: | | ||
| set -x | ||
| DJL_ENGINE=xgboost-gpu ./gradlew clean run | ||
| rm -rf /root/.djl.ai/ | ||
| create-gpu-runner: | ||
| if: github.repository == 'deepjavalibrary/djl-demo' | ||
| runs-on: [ self-hosted, scheduler ] | ||
| steps: | ||
| - name: Create new GPU instance | ||
| id: create_gpu | ||
| run: | | ||
| cd /home/ubuntu/djl_benchmark_script/scripts | ||
| token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \ | ||
| https://api.github.com/repos/deepjavalibrary/djl-demo/actions/runners/registration-token \ | ||
| --fail \ | ||
| | jq '.token' | tr -d '"' ) | ||
| ./start_instance.sh action_gpu $token djl-demo | ||
| outputs: | ||
| gpu_instance_id: ${{ steps.create_gpu.outputs.action_gpu_instance_id }} | ||
| stop-runners: | ||
| if: always() | ||
| runs-on: [ self-hosted, scheduler ] | ||
| needs: [ create-gpu-runner, canary-test-cuda113, canary-test-cuda121, canary-test-cuda124 ] | ||
| steps: | ||
| - name: Stop all instances | ||
| run: | | ||
| cd /home/ubuntu/djl_benchmark_script/scripts | ||
| instance_id=${{ needs.create-gpu-runner.outputs.gpu_instance_id }} | ||
| ./stop_instance.sh $instance_id | ||
