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Adds nightly ViT MGMN tests to the Rosetta CI --------- Co-authored-by: Terry Kong <terryk@nvidia.com>
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name: ~test ViT, MGMN | ||
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on: | ||
workflow_call: | ||
inputs: | ||
ROSETTA_T5X_IMAGE: | ||
type: string | ||
description: Rosetta image from ghcr.io/nvidia/rosetta-t5x | ||
default: 'ghcr.io/nvidia/rosetta-t5x:latest' | ||
required: false | ||
BATCH_SIZE_PER_GPU: | ||
type: number | ||
description: Batch size per GPU | ||
default: 256 | ||
required: false | ||
outputs: | ||
TEST_STATUS: | ||
description: 'Summary pass/fail value indicating if results from tests are acceptable' | ||
value: ${{ jobs.publish-test.outputs.STATUS }} | ||
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jobs: | ||
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single-process-multi-device: | ||
strategy: | ||
matrix: | ||
N_GPU: [8] | ||
fail-fast: false | ||
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runs-on: ubuntu-22.04 | ||
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steps: | ||
- name: Print environment variables | ||
run: env | ||
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- name: Setup SSH agent | ||
uses: webfactory/ssh-agent@v0.8.0 | ||
with: | ||
ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} | ||
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||
- name: Setup SSH known hosts | ||
id: ssh-known-hosts | ||
run: | | ||
mkdir -p ~/.ssh | ||
cat >> ~/.ssh/known_hosts << EOF | ||
${{ vars.SSH_KNOWN_HOSTS }} | ||
EOF | ||
chmod 600 ~/.ssh/known_hosts | ||
echo "FILE=$(realpath ~/.ssh/known_hosts)" >> $GITHUB_OUTPUT | ||
- name: Labels and metadata | ||
id: meta | ||
shell: bash -x -e {0} | ||
run: | | ||
IMAGE="$(echo ${{inputs.ROSETTA_T5X_IMAGE}} | sed 's/\//#/')" | ||
TEST_CASE_NAME=VIT1P${{ matrix.N_GPU }}G | ||
JOB_NAME=${GITHUB_RUN_ID}-${TEST_CASE_NAME} | ||
LOG_FILE=/nfs/cluster/${JOB_NAME}.log | ||
MODEL_PATH=/nfs/cluster/${JOB_NAME} | ||
BATCH_SIZE=$((${{ inputs.BATCH_SIZE_PER_GPU }} * ${{ matrix.N_GPU }})) | ||
for var in IMAGE TEST_CASE_NAME JOB_NAME LOG_FILE MODEL_PATH BATCH_SIZE; do | ||
echo "$var=${!var}" >> $GITHUB_OUTPUT | ||
done | ||
- name: Submit SLURM jobs over SSH | ||
id: submit | ||
shell: bash -O expand_aliases -x -e {0} | ||
run: | | ||
alias sshx='ssh -o "ServerAliveInterval 7" ${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}' | ||
sshx "date && hostname && sinfo" | ||
sshx mkdir -p ${{ steps.meta.outputs.MODEL_PATH }} | ||
JOB=$(sshx sbatch --parsable << EOF | ||
#!/bin/bash | ||
#SBATCH --job-name=${{ steps.meta.outputs.JOB_NAME }} | ||
#SBATCH --exclusive | ||
#SBATCH --nodes=1 | ||
#SBATCH --tasks=1 | ||
#SBATCH --gpus-per-node=${{ matrix.N_GPU }} | ||
#SBATCH --time=00:30:00 | ||
#SBATCH --output=${{ steps.meta.outputs.LOG_FILE }} | ||
#SBATCH --export="ENROOT_PASSWORD=${{ secrets.GITHUB_TOKEN }},XLA_PYTHON_CLIENT_MEM_FRACTION=0.9" | ||
time srun \ | ||
--container-image=${{ steps.meta.outputs.IMAGE }} \ | ||
--container-mounts=${{ steps.meta.outputs.MODEL_PATH }}:/output \ | ||
--container-entrypoint \ | ||
test-vit.sh \ | ||
--output /output/${{ steps.meta.outputs.TEST_CASE_NAME }} \ | ||
--dtype bfloat16 \ | ||
--batch-size ${{ steps.meta.outputs.BATCH_SIZE }} | ||
EOF | ||
) | ||
set +x | ||
while sshx squeue -j $JOB | grep -q $JOB; do | ||
echo "SLURM Job $JOB is still running." | ||
sleep 15 | ||
done | ||
echo "SLRUM Job $JOB finished." | ||
# Gather job info | ||
SLURM_STATE=$(sshx sacct -j $JOB --format=State --parsable2 --noheader |& head -n 1) | ||
SLURM_EXITCODE=$(sshx sacct -j $JOB --format=exitcode --parsable2 --noheader | sort -r -u | head -1 | cut -f 1 -d":" | sed 's/ //g') | ||
echo "SLURM Job state is ${SLURM_STATE}" | ||
echo "SLURM Job exit code is ${SLURM_EXITCODE}" | ||
echo "SLURM_STATE=${SLURM_STATE}" >> "$GITHUB_OUTPUT" | ||
echo "SLURM_EXITCODE=${SLURM_EXITCODE}" >> "$GITHUB_OUTPUT" | ||
set -x | ||
- name: Retrieve training logs and upload to TensorBoard server | ||
shell: bash -x -e {0} | ||
run: | | ||
mkdir output/ | ||
rsync -rtz --progress \ | ||
${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}:${{ steps.meta.outputs.LOG_FILE }} \ | ||
output/${{ steps.meta.outputs.TEST_CASE_NAME }}.log || true | ||
rsync -rtz --progress \ | ||
${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}:${{ steps.meta.outputs.MODEL_PATH }}/* \ | ||
output/ || true | ||
rsync -rtz --progress \ | ||
output/ \ | ||
${{ secrets.TENSORBOARD_UPLOAD_USER }}@${{ vars.HOSTNAME_TENSORBOARD }}:/tensorboard-logs/${GITHUB_RUN_ID}/ || true | ||
- name: Write SLURM job status to file | ||
shell: bash -x -e {0} | ||
run: | | ||
python << EOF | ||
import json | ||
with open("output/${{ steps.meta.outputs.TEST_CASE_NAME }}-status.json", "w") as f: | ||
dump = {'state': "${{ steps.submit.outputs.SLURM_STATE }}", 'exitcode': "${{ steps.submit.outputs.SLURM_EXITCODE }}"} | ||
json.dump(dump, f) | ||
EOF | ||
- name: Upload training logs as artifacts | ||
uses: actions/upload-artifact@v3 | ||
with: | ||
name: ${{ steps.meta.outputs.JOB_NAME }} | ||
path: output/* | ||
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multi-gpu-multi-node: | ||
strategy: | ||
matrix: | ||
N_GPU: [1, 8] | ||
N_NODE: [1, 2] | ||
fail-fast: false | ||
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||
runs-on: ubuntu-22.04 | ||
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||
steps: | ||
- name: Print environment variables | ||
run: env | ||
|
||
- name: Setup SSH agent | ||
uses: webfactory/ssh-agent@v0.8.0 | ||
with: | ||
ssh-private-key: ${{ secrets.SSH_PRIVATE_KEY }} | ||
|
||
- name: Setup SSH known hosts | ||
id: ssh-known-hosts | ||
run: | | ||
mkdir -p ~/.ssh | ||
cat >> ~/.ssh/known_hosts << EOF | ||
${{ vars.SSH_KNOWN_HOSTS }} | ||
EOF | ||
chmod 600 ~/.ssh/known_hosts | ||
echo "FILE=$(realpath ~/.ssh/known_hosts)" >> $GITHUB_OUTPUT | ||
- name: Labels and metadata | ||
id: meta | ||
shell: bash -x -e {0} | ||
run: | | ||
IMAGE="$(echo ${{inputs.ROSETTA_T5X_IMAGE}} | sed 's/\//#/')" | ||
TEST_CASE_NAME=VIT${{ matrix.N_GPU }}G${{ matrix.N_NODE }}N | ||
TOTAL_TASKS=$((${{ matrix.N_GPU }} * ${{ matrix.N_NODE }})) | ||
JOB_NAME=${GITHUB_RUN_ID}-${TEST_CASE_NAME} | ||
LOG_FILE=/nfs/cluster/${JOB_NAME}.log | ||
MODEL_PATH=/nfs/cluster/${JOB_NAME} | ||
BATCH_SIZE=$((${{ inputs.BATCH_SIZE_PER_GPU }} * ${{ matrix.N_GPU }} * ${{ matrix.N_NODE }})) | ||
for var in IMAGE TEST_CASE_NAME TOTAL_TASKS JOB_NAME LOG_FILE MODEL_PATH BATCH_SIZE; do | ||
echo "$var=${!var}" >> $GITHUB_OUTPUT | ||
done | ||
- name: Submit SLURM jobs over SSH | ||
id: submit | ||
shell: bash -O expand_aliases -x -e {0} | ||
run: | | ||
alias sshx='ssh -o "ServerAliveInterval 7" ${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}' | ||
sshx "date && hostname && sinfo" | ||
sshx mkdir -p ${{ steps.meta.outputs.MODEL_PATH }} | ||
JOB=$(sshx sbatch --parsable << EOF | ||
#!/bin/bash | ||
#SBATCH --job-name=${{ steps.meta.outputs.JOB_NAME }} | ||
#SBATCH --exclusive | ||
#SBATCH --nodes=${{ matrix.N_NODE }} | ||
#SBATCH --gpus-per-node=${{ matrix.N_GPU }} | ||
#SBATCH --tasks=${{ steps.meta.outputs.TOTAL_TASKS }} | ||
#SBATCH --tasks-per-node=${{ matrix.N_GPU }} | ||
#SBATCH --time=00:30:00 | ||
#SBATCH --output=${{ steps.meta.outputs.LOG_FILE }} | ||
#SBATCH --export="ENROOT_PASSWORD=${{ secrets.GITHUB_TOKEN }},XLA_PYTHON_CLIENT_MEM_FRACTION=0.9" | ||
time srun \ | ||
--container-image=${{ steps.meta.outputs.IMAGE }} \ | ||
--container-mounts=${{ steps.meta.outputs.MODEL_PATH }}:/output \ | ||
--container-entrypoint \ | ||
test-vit.sh \ | ||
--output /output/${{ steps.meta.outputs.TEST_CASE_NAME }} \ | ||
--dtype bfloat16 \ | ||
--batch-size ${{ steps.meta.outputs.BATCH_SIZE }} \ | ||
--multiprocess | ||
EOF | ||
) | ||
set +x | ||
while sshx squeue -j $JOB | grep -q $JOB; do | ||
echo "SLURM Job $JOB is still running." | ||
sleep 15 | ||
done | ||
echo "SLRUM Job $JOB finished." | ||
# Gather job info | ||
SLURM_STATE=$(sshx sacct -j $JOB --format=State --parsable2 --noheader |& head -n 1) | ||
SLURM_EXITCODE=$(sshx sacct -j $JOB --format=exitcode --parsable2 --noheader | sort -r -u | head -1 | cut -f 1 -d":" | sed 's/ //g') | ||
echo "SLURM Job state is ${SLURM_STATE}" | ||
echo "SLURM Job exit code is ${SLURM_EXITCODE}" | ||
echo "SLURM_STATE=${SLURM_STATE}" >> "$GITHUB_OUTPUT" | ||
echo "SLURM_EXITCODE=${SLURM_EXITCODE}" >> "$GITHUB_OUTPUT" | ||
set -x | ||
- name: Retrieve training logs and upload to TensorBoard server | ||
shell: bash -x -e {0} | ||
run: | | ||
mkdir output/ | ||
rsync -rtz --progress \ | ||
${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}:${{ steps.meta.outputs.LOG_FILE }} \ | ||
output/${{ steps.meta.outputs.TEST_CASE_NAME }}.log || true | ||
rsync -rtz --progress \ | ||
${{ secrets.CLUSTER_LOGIN_USER }}@${{ vars.HOSTNAME_SLURM_LOGIN }}:${{ steps.meta.outputs.MODEL_PATH }}/* \ | ||
output/ || true | ||
rsync -rtz --progress \ | ||
output/ \ | ||
${{ secrets.TENSORBOARD_UPLOAD_USER }}@${{ vars.HOSTNAME_TENSORBOARD }}:/tensorboard-logs/${GITHUB_RUN_ID}/ || true | ||
- name: Write SLURM job status to file | ||
shell: bash -x -e {0} | ||
run: | | ||
python << EOF | ||
import json | ||
with open("output/${{ steps.meta.outputs.TEST_CASE_NAME }}-status.json", "w") as f: | ||
dump = {'state': "${{ steps.submit.outputs.SLURM_STATE }}", 'exitcode': "${{ steps.submit.outputs.SLURM_EXITCODE }}"} | ||
json.dump(dump, f) | ||
EOF | ||
- name: Upload training logs as artifacts | ||
uses: actions/upload-artifact@v3 | ||
with: | ||
name: ${{ steps.meta.outputs.JOB_NAME }} | ||
path: output/* | ||
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publish-test: | ||
needs: [multi-gpu-multi-node, single-process-multi-device] | ||
uses: ./.github/workflows/_publish_badge.yaml | ||
if: ( always() ) | ||
secrets: inherit | ||
with: | ||
ENDPOINT_FILENAME: 'vit-test-completion-status.json' | ||
PUBLISH: false | ||
SCRIPT: | | ||
EXIT_STATUSES="${GITHUB_RUN_ID}-*/*-status.json" | ||
PASSED_TESTS=$(jq -r '. | select ((.state == "COMPLETED") and (.exitcode == "0")) | .state' $EXIT_STATUSES | wc -l) | ||
FAILED_TESTS=$(jq -r '. | select ((.state != "COMPLETED") or (.exitcode != "0")) | .state' $EXIT_STATUSES | wc -l) | ||
TOTAL_TESTS=$(ls $EXIT_STATUSES | wc -l) | ||
cat <<EOF >>$GITHUB_STEP_SUMMARY | ||
## ViT MGMN+SPMD Test Status | ||
| Test Case | State | Exit Code | | ||
| --- | --- | --- | | ||
EOF | ||
for i in $EXIT_STATUSES; do | ||
# Files are named <GHID>-<NAME>/<NAME>-status.json | ||
echo "| $(echo $i | cut -d/ -f1 | cut -d- -f2) | $(jq -r .state $i) | $(jq -r .exitcode $i)" | ||
done | tee -a $GITHUB_STEP_SUMMARY | ||
echo "Test statuses:" | ||
jq -rc 'input_filename,.' $EXIT_STATUSES | ||
if [[ $FAILED_TESTS -eq 0 ]] && [[ $TOTAL_TESTS -gt 0 ]] || [[ $PASSED_TESTS -eq $TOTAL_TESTS ]]; then | ||
echo "STATUS=success" >> $GITHUB_OUTPUT | ||
BADGE_COLOR=brightgreen | ||
elif [[ $PASSED_TESTS -eq 0 ]]; then | ||
echo "STATUS=failure" >> $GITHUB_OUTPUT | ||
BADGE_COLOR=red | ||
else | ||
echo "STATUS=failure" >> $GITHUB_OUTPUT | ||
BADGE_COLOR=yellow | ||
fi | ||
echo "LABEL='Completion'" >> $GITHUB_OUTPUT | ||
echo "MESSAGE='${PASSED_TESTS}/${TOTAL_TESTS} passed'" >> $GITHUB_OUTPUT | ||
echo "COLOR='${BADGE_COLOR}'" >> $GITHUB_OUTPUT | ||
summary: | ||
runs-on: ubuntu-22.04 | ||
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steps: | ||
- name: Generate TensorBoard query URL | ||
run: | | ||
( | ||
cat << EOF | ||
## ViT MGMN training | ||
[view metrics](https://${{ vars.HOSTNAME_TENSORBOARD }}/#scalars®exInput=${GITHUB_RUN_ID}/VIT&_smoothingWeight=0&tagFilter=samples_per) | ||
EOF | ||
) | tee $GITHUB_STEP_SUMMARY | ||
outcome: | ||
needs: publish-test | ||
runs-on: ubuntu-22.04 | ||
if: ( always() ) | ||
steps: | ||
- name: Sets workflow status based on test outputs | ||
run: | | ||
if [[ ${{ needs.publish-test.outputs.STATUS }} != success ]]; then | ||
exit 1 | ||
fi |
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