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Test NGC candidate MaxText container on AWS/K8s
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apiVersion: v1 | ||
kind: Service | ||
metadata: | ||
name: PLACEHOLDER | ||
spec: | ||
clusterIP: None # clusterIP must be None to create a headless service | ||
selector: | ||
job-name: PLACEHOLDER # must match Job name | ||
--- | ||
apiVersion: batch/v1 | ||
kind: Job | ||
metadata: | ||
name: PLACEHOLDER | ||
labels: | ||
kueue.x-k8s.io/queue-name: p5-queue | ||
spec: | ||
completions: 2 # number of nodes | ||
parallelism: 2 # number of nodes | ||
completionMode: Indexed | ||
backoffLimitPerIndex: 0 # max failures per index | ||
maxFailedIndexes: 0 # all indices must succeed | ||
template: | ||
spec: | ||
subdomain: PLACEHOLDER # has to match Service name | ||
restartPolicy: Never | ||
imagePullSecrets: | ||
- name: PLACEHOLDER | ||
containers: | ||
- name: maxtext | ||
image: PLACEHOLDER | ||
ports: | ||
- containerPort: 3389 | ||
command: | ||
- bash | ||
- -c | ||
# The logging logic: stream stdout/stderr from the 0th process inside this pod, | ||
# record all of the processes' stdout/stderr + the INFO-level NCCL logs to file | ||
- | | ||
export SERVICE_NAME=$0 | ||
export JOB_NAME=$1 | ||
cat >each-process.sh <<'EOL' | ||
export JAX_COORDINATOR_IP=${JOB_NAME}-0.${SERVICE_NAME} | ||
export JAX_COORDINATOR_PORT=3389 | ||
export NNODES=16 # actually #processes == #GPUs | ||
export NODE_RANK=$((JOB_COMPLETION_INDEX*8 + LOCAL_RANK)) | ||
export JAX_LOCAL_DEVICE_IDS=$LOCAL_RANK | ||
export NCCL_DEBUG=INFO | ||
export NCCL_DEBUG_FILE=/opt/output/nccl.$NODE_RANK.log | ||
[[ $LOCAL_RANK == 0 ]] && console="/dev/stdout" || console="/dev/null" | ||
nsys-jax \ | ||
--capture-range=cudaProfilerApi \ | ||
--capture-range-end=stop \ | ||
-o /opt/output/profile.$NODE_RANK.zip \ | ||
-- \ | ||
test-maxtext.sh \ | ||
-n 2 \ | ||
-b 2 \ | ||
--model-name=llama2-7b \ | ||
--attn-type=cudnn_flash_te \ | ||
--remat-policy=minimal_flash \ | ||
--steps=20 \ | ||
--fsdp=16 \ | ||
-a "scan_layers=false \ | ||
max_target_length=4096 \ | ||
use_iota_embed=true \ | ||
logits_dot_in_fp32=false \ | ||
profiler=nsys \ | ||
skip_first_n_steps_for_profiler=3 \ | ||
profiler_steps=8" \ | ||
|& tee /opt/output/output.$NODE_RANK.log >"${console}" | ||
code=$? | ||
# Should run even on failure | ||
cat /opt/output/nccl.$NODE_RANK.log >"${console}" | ||
exit $code | ||
EOL | ||
# TODO: upgrade parallel-launch to return a failure code as soon as any | ||
# of its children do (it already does this eventually, but it could | ||
# be slow) | ||
parallel-launch LOCAL_RANK 8 bash each-process.sh | ||
code=$? | ||
# Should run even on failure | ||
touch /opt/output/.done | ||
exit $code | ||
- PLACEHOLDER | ||
- PLACEHOLDER | ||
resources: | ||
limits: | ||
nvidia.com/gpu: 8 | ||
vpc.amazonaws.com/efa: 32 | ||
volumeMounts: | ||
- mountPath: /dev/shm | ||
name: shmem | ||
- mountPath: /opt/output | ||
name: output | ||
- name: upload | ||
image: amazon/aws-cli | ||
command: | ||
- bash | ||
- -c | ||
- | | ||
JOB_NAME="$0" | ||
while [[ ! -f /opt/output/.done ]]; do | ||
sleep 1 | ||
done | ||
rm /opt/output/.done | ||
aws s3 cp \ | ||
--recursive \ | ||
/opt/output \ | ||
"s3://jax-toolbox-eks-output/${JOB_NAME}/" | ||
- PLACEHOLDER | ||
volumeMounts: | ||
- mountPath: /opt/output | ||
name: output | ||
volumes: | ||
- name: output | ||
emptyDir: {} | ||
- name: shmem | ||
emptyDir: | ||
medium: Memory | ||
sizeLimit: 16Gi |
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name: ~test MaxText functionality on Kubernetes | ||
|
||
on: | ||
workflow_call: | ||
inputs: | ||
MAXTEXT_IMAGE: | ||
type: string | ||
description: MaxText container to test | ||
required: true | ||
|
||
permissions: | ||
contents: read # to fetch code | ||
|
||
jobs: | ||
maxtext: | ||
runs-on: eks | ||
env: | ||
CONTAINER_IMAGE: "${{ inputs.MAXTEXT_IMAGE }}" | ||
JOB_NAME: "maxtext-${{ github.run_id }}-${{ github.run_attempt }}" | ||
steps: | ||
- name: Check out the repository | ||
uses: actions/checkout@v4 | ||
- name: Login to GitHub Container Registry | ||
uses: docker/login-action@v3 | ||
with: | ||
registry: ghcr.io | ||
username: ${{ github.repository_owner }} | ||
password: ${{ secrets.GITHUB_TOKEN }} | ||
- name: Login to NVIDIA Container Registry | ||
uses: docker/login-action@v3 | ||
with: | ||
registry: nvcr.io | ||
username: $oauthtoken | ||
password: ${{ secrets.NVCR_TOKEN }} | ||
- name: Store GitHub Container Registry token as Kubernetes secret | ||
run: | | ||
# Make this available to later steps | ||
TOKEN_NAME="${JOB_NAME}-token" | ||
echo "TOKEN_NAME=${TOKEN_NAME}" >> "$GITHUB_ENV" | ||
kubectl create secret generic \ | ||
${TOKEN_NAME} \ | ||
--from-file=.dockerconfigjson=$HOME/.docker/config.json \ | ||
--type=kubernetes.io/dockerconfigjson | ||
- name: Configure Kubernetes job | ||
run: | | ||
export SERVICE_NAME="${JOB_NAME}-svc" | ||
yq -i ea 'select(di == 0).metadata.name = strenv(SERVICE_NAME) | ||
| select(di == 0).spec.selector.job-name = strenv(JOB_NAME) | ||
| select(di == 1).metadata.name = strenv(JOB_NAME) | ||
| select(di == 1).spec.template.spec.subdomain = strenv(SERVICE_NAME) | ||
| select(di == 1).spec.template.spec.imagePullSecrets[].name = strenv(TOKEN_NAME) | ||
| select(di == 1).spec.template.spec.containers[0].image = strenv(CONTAINER_IMAGE) | ||
| select(di == 1).spec.template.spec.containers[0].command[3] = strenv(SERVICE_NAME) | ||
| select(di == 1).spec.template.spec.containers[0].command[4] = strenv(JOB_NAME) | ||
| select(di == 1).spec.template.spec.containers[1].command[3] = strenv(JOB_NAME)' \ | ||
.github/eks-workflow-files/maxtext-job.yaml | ||
git diff .github/eks-workflow-files/maxtext-job.yaml | ||
- name: Submit Kubernetes job | ||
run: kubectl apply -f .github/eks-workflow-files/maxtext-job.yaml | ||
- name: Wait for Kubernetes job to start | ||
run: | | ||
# Launcher job is created eagerly, but suspended. Kueue un-suspends it when | ||
# resources are available, but that is where there can be a long wait if the | ||
# cluster is busy executing other jobs. | ||
kubectl wait --for=create job/${JOB_NAME} | ||
kubectl wait --for=jsonpath='{.spec.suspend}=false' job/${JOB_NAME} --timeout=3600s | ||
- name: Stream Kubernetes job output | ||
run: | | ||
# Streaming logs will fail if the container/pod is still pending | ||
while [[ -n $(kubectl get pods --selector=batch.kubernetes.io/job-name=${JOB_NAME} --output=jsonpath='{.items[?(@.status.phase == "Pending")].metadata.name}') ]]; do | ||
sleep 1 | ||
done | ||
kubectl logs --all-containers=true --all-pods=true --follow job/${JOB_NAME} | ||
- name: Retrieve Kubernetes job status | ||
shell: bash -exo pipefail {0} | ||
run: | | ||
while readarray -d : -t status < <(kubectl get job/${JOB_NAME} -o 'jsonpath={.status.failed}:{.status.succeeded}'); do | ||
failure=${status[0]:-0} | ||
success=${status[1]:-0} | ||
total=$((failure+success)) | ||
if [[ ${total} < 2 ]]; then | ||
sleep 1 | ||
elif [[ ${total} == 2 ]]; then | ||
break | ||
else | ||
# FIXME | ||
exit 255 | ||
fi | ||
done | ||
exit ${failure} | ||
# Provide more debug output in case of failure; note that some kinds of launch | ||
# failure do not produce any log output. | ||
- name: Debug failed Kubernetes job | ||
if: failure() | ||
run: | | ||
# Provide better debug in case of launch failures that will not produce log output | ||
pods=$(kubectl get pods --selector=batch.kubernetes.io/job-name=${JOB_NAME} -o name) | ||
if [[ -n "${pods}" ]]; then | ||
kubectl describe ${pods} | ||
fi | ||
# Clean up in case of errors as well as success | ||
- name: Delete Kubernetes job | ||
if: always() | ||
run: kubectl delete -f .github/eks-workflow-files/maxtext-job.yaml | ||
- name: Delete GitHub Container Registry token | ||
if: always() | ||
run: kubectl delete secret ${TOKEN_NAME} |
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