feat(pt): train with energy Hessian #5051
Workflow file for this run
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name: "CodeQL" | |
on: | |
push: | |
branches-ignore: | |
- "gh-readonly-queue/**" | |
pull_request: | |
schedule: | |
- cron: '45 2 * * 2' | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref || github.run_id }} | |
cancel-in-progress: true | |
jobs: | |
analyze: | |
name: Analyze | |
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-22.04' }} | |
timeout-minutes: ${{ (matrix.language == 'swift' && 120) || 360 }} | |
permissions: | |
actions: read | |
contents: read | |
security-events: write | |
strategy: | |
fail-fast: false | |
matrix: | |
language: [ 'c-cpp', 'javascript-typescript', 'python' ] | |
steps: | |
- name: Checkout repository | |
uses: actions/checkout@v4 | |
- uses: actions/setup-python@v5 | |
with: | |
python-version: '3.11' | |
cache: 'pip' | |
if: matrix.language == 'c-cpp' | |
- name: "Setup dependencies" | |
if: matrix.language == 'c-cpp' | |
run: | | |
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb \ | |
&& sudo dpkg -i cuda-keyring_1.0-1_all.deb \ | |
&& sudo apt-get update \ | |
&& sudo apt-get -y install cuda-cudart-dev-12-2 cuda-nvcc-12-2 | |
python -m pip install tensorflow | |
wget https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-2.1.2%2Bcpu.zip -O libtorch.zip | |
unzip libtorch.zip | |
env: | |
DEBIAN_FRONTEND: noninteractive | |
# Initializes the CodeQL tools for scanning. | |
- name: Initialize CodeQL | |
uses: github/codeql-action/init@v3 | |
with: | |
languages: ${{ matrix.language }} | |
queries: security-extended,security-and-quality | |
- name: "Run, Build Application using script" | |
run: | | |
export CMAKE_PREFIX_PATH=$GITHUB_WORKSPACE/libtorch | |
source/install/build_cc.sh | |
env: | |
DP_VARIANT: cuda | |
DOWNLOAD_TENSORFLOW: "FALSE" | |
if: matrix.language == 'c-cpp' | |
- name: Perform CodeQL Analysis | |
uses: github/codeql-action/analyze@v3 | |
with: | |
category: "/language:${{matrix.language}}" |