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chore(ci): use aws ec2 as runner provider for cargo builds #6092

chore(ci): use aws ec2 as runner provider for cargo builds

chore(ci): use aws ec2 as runner provider for cargo builds #6092

Workflow file for this run

# Perform tfhe-cuda-backend post-commit checks on an AWS instance
name: gpu_pcc
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
SLACKIFY_MARKDOWN: true
PULL_REQUEST_MD_LINK: ""
CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN || secrets.GITHUB_TOKEN }}
# Secrets will be available only to zama-ai organization members
SECRETS_AVAILABLE: ${{ secrets.JOB_SECRET != '' }}
EXTERNAL_CONTRIBUTION_RUNNER: "large_ubuntu_16-22.04"
CUDA_KEYRING_PACKAGE: cuda-keyring_1.1-1_all.deb
CUDA_KEYRING_SHA: "d93190d50b98ad4699ff40f4f7af50f16a76dac3bb8da1eaaf366d47898ff8df"
on:
pull_request:
permissions:
contents: read
# zizmor: ignore[concurrency-limits] only Zama organization members can trigger this workflow (via manual approval for PR from forks)
jobs:
setup-instance:
name: gpu_pcc/setup-instance
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-remote-instance.outputs.label || steps.start-github-instance.outputs.runner_group }}
steps:
- name: Start remote instance
id: start-remote-instance
if: env.SECRETS_AVAILABLE == 'true'
uses: zama-ai/slab-github-runner@79939325c3c429837c10d6041e4fd8589d328bac
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-build
# This instance will be spawned especially for pull-request from forked repository
- name: Start GitHub instance
id: start-github-instance
if: env.SECRETS_AVAILABLE == 'false'
run: |
echo "runner_group=${EXTERNAL_CONTRIBUTION_RUNNER}" >> "$GITHUB_OUTPUT"
cuda-pcc:
name: gpu_pcc/cuda-pcc (bpr)
needs: setup-instance
concurrency:
group: ${{ github.workflow_ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8
with:
persist-credentials: 'false'
token: ${{ env.CHECKOUT_TOKEN }}
- name: Install CUDA
if: env.SECRETS_AVAILABLE == 'false'
shell: bash
run: |
# Use Sed to extract a value from a string, this cannot be done with the ${variable//search/replace} pattern.
# shellcheck disable=SC2001
TOOLKIT_VERSION="$(echo "${CUDA_VERSION}" | sed 's/\(.*\)\.\(.*\)/\1-\2/')"
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/"${CUDA_KEYRING_PACKAGE}"
echo "${CUDA_KEYRING_SHA} ${CUDA_KEYRING_PACKAGE}" > checksum
sha256sum -c checksum
sudo dpkg -i "${CUDA_KEYRING_PACKAGE}"
sudo apt update
sudo apt -y install "cuda-toolkit-${TOOLKIT_VERSION}" cmake-format
env:
CUDA_VERSION: ${{ matrix.cuda }}
- name: Install latest stable
uses: dtolnay/rust-toolchain@e97e2d8cc328f1b50210efc529dca0028893a2d9 # zizmor: ignore[stale-action-refs] this action doesn't create releases
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${CUDA_VERSION}/bin/nvcc" >> "${GITHUB_ENV}"
env:
CUDA_VERSION: ${{ matrix.cuda }}
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${GCC_VERSION}";
echo "CXX=/usr/bin/g++-${GCC_VERSION}";
echo "CUDAHOSTCXX=/usr/bin/g++-${GCC_VERSION}";
} >> "${GITHUB_ENV}"
env:
GCC_VERSION: ${{ matrix.gcc }}
- name: Run fmt checks
run: |
make check_fmt_gpu
- name: Run clippy checks
run: |
make pcc_gpu
- name: Check build with hpu enabled
run: |
make clippy_gpu_hpu
- name: Set pull-request URL
if: ${{ failure() && github.event_name == 'pull_request' }}
run: |
echo "PULL_REQUEST_MD_LINK=[pull-request](${PR_BASE_URL}${PR_NUMBER}), " >> "${GITHUB_ENV}"
env:
PR_BASE_URL: ${{ vars.PR_BASE_URL }}
PR_NUMBER: ${{ github.event.pull_request.number }}
- name: Slack Notification
if: ${{ failure() && env.SECRETS_AVAILABLE == 'true' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS post-commit checks finished with status: ${{ job.status }}. (${{ env.PULL_REQUEST_MD_LINK }}[action run](${{ env.ACTION_RUN_URL }}))"
teardown-instance:
name: cuda_pcc/teardown-instance
if: ${{ always() && needs.setup-instance.result == 'success' }}
needs: [ setup-instance, cuda-pcc ]
runs-on: ubuntu-latest
steps:
- name: Stop remote instance
id: stop-instance
if: env.SECRETS_AVAILABLE == 'true'
uses: zama-ai/slab-github-runner@79939325c3c429837c10d6041e4fd8589d328bac
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-pcc) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"