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E2E (NVIDIA L40S x4) #13

E2E (NVIDIA L40S x4)

E2E (NVIDIA L40S x4) #13

# SPDX-License-Identifier: Apache-2.0
name: E2E (NVIDIA L40S x4)
on:
schedule:
- cron: '0 16 * * *' # Runs at 4PM UTC every day
workflow_dispatch:
inputs:
pr_or_branch:
description: 'pull request number or branch name'
required: true
default: 'main'
jobs:
start-large-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: "Harden Runner"
# v2.10.1
uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
with:
egress-policy: audit
- 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: ${{ secrets.AWS_REGION }}
- 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: ${{ vars.AWS_EC2_AMI }}
ec2-instance-type: g6e.12xlarge
subnet-id: subnet-024298cefa3bedd61
security-group-id: sg-06300447c4a5fbef3
iam-role-name: instructlab-ci-runner
aws-resource-tags: >
[
{"Key": "Name", "Value": "instructlab-ci-github-large-runner"},
{"Key": "GitHubRepository", "Value": "${{ github.repository }}"},
{"Key": "GitHubRef", "Value": "${{ github.ref }}"},
{"Key": "GitHubPR", "Value": "${{ github.event.number }}"}
]
e2e-large-test:
needs:
- start-large-ec2-runner
runs-on: ${{ needs.start-large-ec2-runner.outputs.label }}
permissions:
pull-requests: write
steps:
- name: "Harden Runner"
# v2.10.1
uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
with:
egress-policy: audit
- name: Install Packages
run: |
cat /etc/os-release
sudo dnf install -y gcc gcc-c++ make git python3.11 python3.11-devel
- name: Checkout instructlab/instructlab
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
repository: "instructlab/instructlab"
path: "instructlab"
# https://github.com/actions/checkout/issues/249
fetch-depth: 0
- name: Checkout instructlab/training
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
repository: "instructlab/training"
path: "training"
# https://github.com/actions/checkout/issues/249
fetch-depth: 0
- name: Determine if pr_or_branch is a PR number
id: check_pr
run: |
PR_OR_BRANCH=${{ github.event.inputs.pr_or_branch || 'main' }} # Default to 'main' if not set
if [[ "$PR_OR_BRANCH" =~ ^[0-9]+$ ]]; then
echo "is_pr=true" >> "$GITHUB_OUTPUT"
else
echo "is_pr=false" >> "$GITHUB_OUTPUT"
fi
echo "pr_or_branch=$PR_OR_BRANCH" >> "$GITHUB_OUTPUT"
- name: Check if gh cli is installed
id: gh_cli
run: |
if command -v gh &> /dev/null ; then
echo "gh_cli_installed=true" >> "$GITHUB_OUTPUT"
else
echo "gh_cli_installed=false" >> "$GITHUB_OUTPUT"
fi
- name: Install gh CLI
if: steps.gh_cli.outputs.gh_cli_installed == 'false'
run: |
sudo dnf install 'dnf-command(config-manager)' -y
sudo dnf config-manager --add-repo https://cli.github.com/packages/rpm/gh-cli.repo
sudo dnf install gh --repo gh-cli -y
- name: test gh CLI
run: |
gh --version
- name: set default repo
working-directory: ./training
run: |
gh repo set-default ${{ github.server_url }}/${{ github.repository }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Add comment to PR
if: steps.check_pr.outputs.is_pr == 'true'
working-directory: ./training
run: |
gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "${{ github.workflow }} workflow launched on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }})"
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Fetch and checkout PR
if: steps.check_pr.outputs.is_pr == 'true'
working-directory: ./training
run: |
gh pr checkout ${{ steps.check_pr.outputs.pr_or_branch }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Checkout branch
if: steps.check_pr.outputs.is_pr == 'false'
working-directory: ./training
run: |
git checkout ${{ steps.check_pr.outputs.pr_or_branch }}
- name: Install ilab
working-directory: ./instructlab
run: |
export CUDA_HOME="/usr/local/cuda"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
export PATH="$PATH:$CUDA_HOME/bin"
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 .
# https://github.com/instructlab/instructlab/issues/1821
# install with Torch and build dependencies installed
python3.11 -m pip install packaging wheel setuptools-scm
python3.11 -m pip install .[cuda] -r requirements-vllm-cuda.txt
- name: Update instructlab-training library
working-directory: ./training
run: |
. ../instructlab/venv/bin/activate
pip install .
pip install .[cuda]
- name: Check disk
run: |
df -h
- name: Run e2e test
working-directory: ./instructlab
env:
HF_TOKEN: ${{ secrets.HF_TOKEN }}
run: |
. venv/bin/activate
# set preserve to true so we can retain the logs
./scripts/e2e-ci.sh -lp
# we know that the file will be named something like f"/training_params_and_metrics_global{os.environ['RANK']}.jsonl" in python
# and we know that it will be written into a directory created by `mktemp -d`.
# Given this information, we can use the following command to find the file:
log_file=$(find /tmp -name "training_params_and_metrics_global0.jsonl")
mv "${log_file}" training-log.jsonl
- name: Upload training logs
uses: actions/upload-artifact@v4
with:
name: training-log.jsonl
path: ./instructlab/training-log.jsonl
retention-days: 1
overwrite: true
- name: Add comment to PR if the workflow failed
if: failure() && steps.check_pr.outputs.is_pr == 'true'
working-directory: ./training
run: |
gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "e2e workflow failed on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}), please investigate."
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Add comment to PR if the workflow succeeded
if: success() && steps.check_pr.outputs.is_pr == 'true'
working-directory: ./training
run: |
gh pr comment "${{ steps.check_pr.outputs.pr_or_branch }}" -b "e2e workflow succeeded on this PR: [View run](${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}), congrats!"
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Post job results to Slack if the workflow failed
if: failure() && steps.check_pr.outputs.is_pr == 'false'
id: slack-report-failure
uses: slackapi/slack-github-action@37ebaef184d7626c5f204ab8d3baff4262dd30f0 # v1.27.0
with:
# Slack channel id, channel name, or user id to post message.
# See also: https://api.slack.com/methods/chat.postMessage#channels
# You can pass in multiple channels to post to by providing a comma-delimited list of channel IDs.
channel-id: 'e2e-ci-results'
slack-message: "*e2e-nvidia-l40s-x4* job in *${{ github.repository }}* running on branch `${{ steps.check_pr.outputs.pr_or_branch }}` completed *with failures* :meow_sad-rain: | ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
env:
SLACK_BOT_TOKEN: ${{ secrets.SON_OF_JEEVES_TOKEN }}
- name: Post job results to Slack if the workflow succeeded
if: success() && steps.check_pr.outputs.is_pr == 'false'
id: slack-report-success
uses: slackapi/slack-github-action@37ebaef184d7626c5f204ab8d3baff4262dd30f0 # v1.27.0
with:
# Slack channel id, channel name, or user id to post message.
# See also: https://api.slack.com/methods/chat.postMessage#channels
# You can pass in multiple channels to post to by providing a comma-delimited list of channel IDs.
channel-id: 'e2e-ci-results'
slack-message: "*e2e-nvidia-l40s-x4* job in *${{ github.repository }}* running on branch `${{ steps.check_pr.outputs.pr_or_branch }}` completed *successfully* :meow_party: | ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
env:
SLACK_BOT_TOKEN: ${{ secrets.SON_OF_JEEVES_TOKEN }}
stop-large-ec2-runner:
needs:
- start-large-ec2-runner
- e2e-large-test
runs-on: ubuntu-latest
if: ${{ always() }}
steps:
- name: "Harden Runner"
# v2.10.1
uses: step-security/harden-runner@91182cccc01eb5e619899d80e4e971d6181294a7
with:
egress-policy: audit
- 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: ${{ secrets.AWS_REGION }}
- 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-large-ec2-runner.outputs.label }}
ec2-instance-id: ${{ needs.start-large-ec2-runner.outputs.ec2-instance-id }}
- name: Download loss data
id: download-logs
uses: actions/download-artifact@v4
with:
name: training-log.jsonl
path: downloaded-data
- name: Install dependencies
run: |
pip install -r requirements-dev.txt
- name: Try to upload to s3
id: upload-s3
continue-on-error: true
run: |
output_file='./test.md'
python scripts/create-loss-graph.py \
--log-file "${{ steps.download-logs.outputs.download-path }}/training-log.jsonl" \
--output-file "${output_file}" \
--aws-region "${{ vars.AWS_REGION }}" \
--bucket-name "${{ vars.AWS_S3_LOSS_GRAPHS_BUCKET_NAME }}" \
--base-branch "${{ github.event.pull_request.base.ref }}" \
--pr-number "${{ github.event.pull_request.number }}" \
--head-sha "${{ github.event.pull_request.head.sha }}" \
--origin-repository "${{ github.repository }}"
- name: Check S3 upload status
if: steps.upload-s3.outcome == 'failure'
run: |
echo "::warning::Failed to upload loss graph to S3. This won't block the workflow, but you may want to investigate."
echo "Loss graph upload failed" >> "${GITHUB_STEP_SUMMARY}"
cat "${output_file}" >> "${GITHUB_STEP_SUMMARY}"