File size: 3,640 Bytes
770274f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 |
apiVersion: kubeflow.org/v2beta1
kind: MPIJob
metadata:
name: peacock-tokenizer-dravid-103
namespace: peacock
labels:
app: peacock-tokenizer-dravid-103
spec:
slotsPerWorker: 8
runPolicy:
backoffLimit: 1
cleanPodPolicy: Running
mpiReplicaSpecs:
Launcher:
replicas: 1
template:
spec:
hostIPC: true
volumes:
- name: work-dir
persistentVolumeClaim:
claimName: peacock-fs-pvc
containers:
- image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
name: peacock-tokenizer-dravid-103-launcher
imagePullPolicy: IfNotPresent
volumeMounts:
- name: work-dir
mountPath: /mnt/weka/peacock
command: ["/bin/bash", "-c"]
args:
- >-
export SYNAPSE_VERSION="1.15.1";
export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/dravid//tok_dravid/tok_files/tokenizer_103.sh
HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
echo "HOSTSFILE=$HOSTSFILE";
MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
NUM_NODES=$(wc -l < $HOSTSFILE);
CARDS_PER_NODE=8;
N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
echo "MPI_ROOT=$MPI_ROOT";
echo "N_CARDS=$N_CARDS";
echo "MASTER_ADDR=$MASTER_ADDR";
sleep 20;
mpirun -np $N_CARDS -npernode 8 \
--tag-output \
--allow-run-as-root \
--prefix $MPI_ROOT \
-x WORKER_DIR=$WORKER_DIR \
-x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
mpirun -np $N_CARDS -npernode 8 \
--tag-output \
--allow-run-as-root \
--prefix $MPI_ROOT \
-x WORKER_DIR=$WORKER_DIR \
-x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
Worker:
replicas: 1
template:
spec:
volumes:
- name: work-dir
persistentVolumeClaim:
claimName: peacock-fs-pvc
tolerations:
- key: "habana.ai/gaudi"
operator: "Exists"
effect: "NoSchedule"
- key: "k8s/namespace"
operator: "Equal"
value: "peacock"
effect: "NoSchedule"
hostIPC: true
containers:
- image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
name: peacock-llama-worker
imagePullPolicy: IfNotPresent
securityContext:
capabilities:
add:
- SYSLOG
resources:
limits:
habana.ai/gaudi: 8
hugepages-2Mi: 300Gi
memory: 700Gi
cpu: 150
requests:
habana.ai/gaudi: 8
hugepages-2Mi: 300Gi
memory: 700Gi
cpu: 150
volumeMounts:
- name: work-dir
mountPath: /mnt/weka/peacock
|