transformers / .github /workflows /ssh-runner.yml
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name: SSH into our runners
on:
workflow_dispatch:
inputs:
runner_type:
description: 'Type of runner to test (a10)'
required: true
docker_image:
description: 'Name of the Docker image'
required: true
num_gpus:
description: 'Type of the number of gpus to use (`single` or `multi`)'
required: true
env:
HF_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
HF_HOME: /mnt/cache
TRANSFORMERS_IS_CI: yes
OMP_NUM_THREADS: 8
MKL_NUM_THREADS: 8
RUN_SLOW: yes # For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access. # This token is created under the bot `hf-transformers-bot`.
TF_FORCE_GPU_ALLOW_GROWTH: true
CUDA_VISIBLE_DEVICES: 0,1
jobs:
get_runner:
name: "Get runner to use"
runs-on: ubuntu-22.04
outputs:
RUNNER: ${{ steps.set_runner.outputs.RUNNER }}
steps:
- name: Get runner to use
shell: bash
env:
NUM_GPUS: ${{ github.event.inputs.num_gpus }}
RUNNER_TYPE: ${{ github.event.inputs.runner_type }}
run: |
if [[ "$NUM_GPUS" == "single" && "$RUNNER_TYPE" == "a10" ]]; then
echo "RUNNER=aws-g5-4xlarge-cache-ssh" >> $GITHUB_ENV
elif [[ "$NUM_GPUS" == "multi" && "$RUNNER_TYPE" == "a10" ]]; then
echo "RUNNER=aws-g5-12xlarge-cache-ssh" >> $GITHUB_ENV
else
echo "RUNNER=" >> $GITHUB_ENV
fi
- name: Set runner to use
id: set_runner
run: |
echo "$RUNNER"
echo "RUNNER=$RUNNER" >> $GITHUB_OUTPUT
ssh_runner:
name: "SSH"
needs: get_runner
runs-on:
group: ${{ needs.get_runner.outputs.RUNNER }}
container:
image: ${{ github.event.inputs.docker_image }}
steps:
- name: Update clone
working-directory: /transformers
env:
commit_sha: ${{ github.sha }}
run: |
git fetch && git checkout "$commit_sha"
- name: Cleanup
working-directory: /transformers
run: |
rm -rf tests/__pycache__
rm -rf tests/models/__pycache__
rm -rf reports
- name: Show installed libraries and their versions
working-directory: /transformers
run: pip freeze
- name: NVIDIA-SMI
run: |
nvidia-smi
- name: Create python alias
run: |
ln -sf $(which python3) /usr/local/bin/python
ln -sf $(which pip3) /usr/local/bin/pip
echo "✅ python -> python3 symlink created"
- name: Install psutil for memory monitor
run: |
pip install psutil --break-system-packages
- name: Download memory monitor script
working-directory: /transformers
run: |
apt-get update && apt-get install -y curl
curl -o memory_monitor.py https://raw.githubusercontent.com/huggingface/transformers/refs/heads/utility_scripts/utils/memory_monitor.py
- name: Start memory monitor
working-directory: /transformers
continue-on-error: true # Don't fail workflow if monitor has issues
run: |
python3 memory_monitor.py --threshold 90 --interval 1 > memory_monitor.log 2>&1 &
echo $! > memory_monitor.pid
echo "Memory monitor started with PID $(cat memory_monitor.pid)"
# Give it a moment to start
sleep 2
# Verify it's running
ps aux | grep memory_monitor | grep -v grep || echo "Warning: memory monitor may not be running"
- name: Install utilities
run: |
apt-get install -y nano
- name: Store Slack infos
#because the SSH can be enabled dynamically if the workflow failed, so we need to store slack infos to be able to retrieve them during the waitforssh step
shell: bash
env:
GITHUB_ACTOR: ${{ github.actor }}
run: |
echo "$GITHUB_ACTOR"
github_actor=$GITHUB_ACTOR
github_actor=${github_actor/'-'/'_'}
echo "$github_actor"
echo "github_actor=$github_actor" >> $GITHUB_ENV
- name: Setup automatic environment for SSH login
run: |
# Create shared environment setup
cat > /root/.env_setup << 'EOF'
# Auto-setup (non-sensitive vars)
export HF_HOME=/mnt/cache
export TRANSFORMERS_IS_CI=yes
export OMP_NUM_THREADS=8
export MKL_NUM_THREADS=8
export RUN_SLOW=yes
export TF_FORCE_GPU_ALLOW_GROWTH=true
export CUDA_VISIBLE_DEVICES=0,1
cd /transformers 2>/dev/null || true
# Remind user to set token if needed
if [ -z "$HF_TOKEN" ]; then
echo "⚠️ HF_TOKEN not set. Set it with:"
echo " export HF_TOKEN=hf_xxxxx"
else
echo "✅ HF_TOKEN is set"
fi
echo "📁 Working directory: $(pwd)"
EOF
# Source from both .bash_profile and .bashrc
echo 'source /root/.env_setup' >> /root/.bash_profile
echo 'source /root/.env_setup' >> /root/.bashrc
- name: Store Slack infos
#because the SSH can be enabled dynamically if the workflow failed, so we need to store slack infos to be able to retrieve them during the waitforssh step
shell: bash
env:
user_slack_id: ${{ secrets[format('{0}_{1}', env.github_actor, 'SLACK_ID')] }}
default_slack_channel: ${{ secrets.SLACK_CIFEEDBACK_CHANNEL }}
run: |
echo "$github_actor"
if [ "$user_slack_id" != "" ]; then
echo "SLACKCHANNEL=$user_slack_id" >> $GITHUB_ENV
else
echo "SLACKCHANNEL=$default_slack_channel" >> $GITHUB_ENV
fi
- name: Tailscale # In order to be able to SSH when a test fails
uses: huggingface/tailscale-action@main
with:
authkey: ${{ secrets.TAILSCALE_SSH_AUTHKEY }}
slackChannel: ${{ env.SLACKCHANNEL }}
slackToken: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }}
waitForSSH: true
sshTimeout: 15m