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Add a new py3-functional-gpu workflow and tox env
This runs our functional tests that require a GPU as a separate workflow item, since they are not the instructlab e2e tests and also are not the CPU-only unit or functional tests that run in the GitHub runners. Signed-off-by: Ben Browning <[email protected]>
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# SPDX-License-Identifier: Apache-2.0 | ||
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name: Functional GPU (NVIDIA Tesla T4 x1) | ||
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on: | ||
# temporarily run for this PR for anything that changes this workflow file | ||
pull_request: | ||
paths: | ||
- ".github/workflows/functional-gpu-nvidia-t4-x1.yml" # This workflow | ||
# run against every merge commit to 'main' and release branches | ||
push: | ||
branches: | ||
- main | ||
- release-* | ||
# only run on PRs that touch certain regex paths | ||
pull_request_target: | ||
branches: | ||
- main | ||
- release-* | ||
paths: | ||
# note this should match the merging criteria in 'mergify.yml' | ||
- "**.py" | ||
- "pyproject.toml" | ||
- "requirements**.txt" | ||
- ".github/workflows/functional-gpu-nvidia-t4-x1.yml" # This workflow | ||
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concurrency: | ||
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
cancel-in-progress: true | ||
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env: | ||
LC_ALL: en_US.UTF-8 | ||
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defaults: | ||
run: | ||
shell: bash | ||
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permissions: | ||
contents: read | ||
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jobs: | ||
start-small-ec2-runner: | ||
runs-on: ubuntu-latest | ||
outputs: | ||
label: ${{ steps.start-ec2-runner.outputs.label }} | ||
ec2-instance-id: ${{ steps.start-ec2-runner.outputs.ec2-instance-id }} | ||
steps: | ||
- name: Configure AWS credentials | ||
uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 # v4.0.2 | ||
with: | ||
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | ||
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | ||
aws-region: ${{ vars.AWS_REGION }} | ||
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- name: Start EC2 runner | ||
id: start-ec2-runner | ||
uses: machulav/ec2-github-runner@1827d6ca7544d7044ddbd2e9360564651b463da2 # v2.3.7 | ||
with: | ||
mode: start | ||
github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} | ||
ec2-image-id: ${{ vars.AWS_EC2_AMI }} | ||
ec2-instance-type: g4dn.2xlarge | ||
subnet-id: subnet-02d230cffd9385bd4 | ||
security-group-id: sg-06300447c4a5fbef3 | ||
iam-role-name: instructlab-ci-runner | ||
aws-resource-tags: > | ||
[ | ||
{"Key": "Name", "Value": "instructlab-ci-github-small-runner"}, | ||
{"Key": "GitHubRepository", "Value": "${{ github.repository }}"}, | ||
{"Key": "GitHubRef", "Value": "${{ github.ref }}"}, | ||
{"Key": "GitHubPR", "Value": "${{ github.event.number }}"} | ||
] | ||
functional-gpu-small-test: | ||
needs: | ||
- start-small-ec2-runner | ||
runs-on: ${{ needs.start-small-ec2-runner.outputs.label }} | ||
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# It is important that this job has no write permissions and has | ||
# no access to any secrets. This part is where we are running | ||
# untrusted code from PRs. | ||
permissions: {} | ||
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steps: | ||
- name: Install Packages | ||
run: | | ||
cat /etc/os-release | ||
sudo dnf install -y gcc gcc-c++ make git python3.11 python3.11-devel | ||
- name: Checkout instructlab/sdg | ||
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | ||
with: | ||
repository: "instructlab/sdg" | ||
path: "sdg" | ||
# https://github.com/actions/checkout/issues/249 | ||
fetch-depth: 0 | ||
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- name: Fetch and checkout PR | ||
if: github.event_name == 'pull_request_target' | ||
working-directory: ./sdg | ||
run: | | ||
git fetch origin pull/${{ github.event.pull_request.number }}/head:pr-${{ github.event.pull_request.number }} | ||
git checkout pr-${{ github.event.pull_request.number }} | ||
- name: Install instructlab/sdg | ||
working-directory: ./instructlab | ||
run: | | ||
export PATH="/home/ec2-user/.local/bin:/usr/local/cuda/bin:$PATH" | ||
python3.11 -m venv --upgrade-deps venv | ||
. venv/bin/activate | ||
nvidia-smi | ||
python3.11 -m pip cache remove llama_cpp_python | ||
CMAKE_ARGS="-DLLAMA_CUDA=on" python3.11 -m pip install -r requirements-dev.txt | ||
- name: Check disk before tests | ||
run: | | ||
df -h | ||
- name: Run functional gpu tests with tox | ||
run: | | ||
tox -e py3-functional-gpu | ||
- name: Check disk after tests | ||
run: | | ||
df -h | ||
stop-small-ec2-runner: | ||
needs: | ||
- start-small-ec2-runner | ||
- functional-gpu-small-test | ||
runs-on: ubuntu-latest | ||
if: ${{ always() }} | ||
steps: | ||
- name: Configure AWS credentials | ||
uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 # v4.0.2 | ||
with: | ||
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | ||
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | ||
aws-region: ${{ vars.AWS_REGION }} | ||
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- name: Stop EC2 runner | ||
uses: machulav/ec2-github-runner@1827d6ca7544d7044ddbd2e9360564651b463da2 # v2.3.7 | ||
with: | ||
mode: stop | ||
github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }} | ||
label: ${{ needs.start-small-ec2-runner.outputs.label }} | ||
ec2-instance-id: ${{ needs.start-small-ec2-runner.outputs.ec2-instance-id }} | ||
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functional-gpu-small-workflow-complete: | ||
# we don't want to block PRs on failed EC2 cleanup | ||
# so not requiring "stop-small-ec2-runner" as well | ||
needs: ["start-small-ec2-runner", "functional-gpu-small-test"] | ||
runs-on: ubuntu-latest | ||
steps: | ||
- name: Functional GPU Workflow Complete | ||
run: echo "Functional GPU Workflow Complete" |
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# SPDX-License-Identifier: Apache-2.0 | ||
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-r requirements-dev.txt | ||
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llama-cpp-python[server]>=0.3.0,<1.0.0 |
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