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  1. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_105.yaml +104 -0
  2. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_11.yaml +104 -0
  3. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_117.yaml +104 -0
  4. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_155.yaml +104 -0
  5. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_164.yaml +104 -0
  6. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_172.yaml +104 -0
  7. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_179.yaml +104 -0
  8. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_218.yaml +104 -0
  9. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_222.yaml +104 -0
  10. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_263.yaml +104 -0
  11. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_27.yaml +104 -0
  12. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_307.yaml +104 -0
  13. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_318.yaml +104 -0
  14. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_32.yaml +104 -0
  15. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_329.yaml +104 -0
  16. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_332.yaml +104 -0
  17. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_348.yaml +104 -0
  18. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_360.yaml +104 -0
  19. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_368.yaml +104 -0
  20. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_370.yaml +104 -0
  21. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_375.yaml +104 -0
  22. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_386.yaml +104 -0
  23. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_394.yaml +104 -0
  24. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_400.yaml +104 -0
  25. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_414.yaml +104 -0
  26. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_415.yaml +104 -0
  27. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_431.yaml +104 -0
  28. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_453.yaml +104 -0
  29. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_458.yaml +104 -0
  30. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_466.yaml +104 -0
  31. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_482.yaml +104 -0
  32. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_484.yaml +104 -0
  33. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_488.yaml +104 -0
  34. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_493.yaml +104 -0
  35. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_495.yaml +104 -0
  36. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_50.yaml +104 -0
  37. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_500.yaml +104 -0
  38. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_504.yaml +104 -0
  39. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_51.yaml +104 -0
  40. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_511.yaml +104 -0
  41. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_533.yaml +104 -0
  42. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_538.yaml +104 -0
  43. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_566.yaml +104 -0
  44. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_594.yaml +104 -0
  45. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_599.yaml +104 -0
  46. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_613.yaml +104 -0
  47. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_615.yaml +104 -0
  48. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_622.yaml +104 -0
  49. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_624.yaml +104 -0
  50. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_638.yaml +104 -0
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_105.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-105
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-105
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-105-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_105.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_11.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-11
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-11
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-11-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_11.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_117.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-117
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-117
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-117-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_117.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_155.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-155
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-155
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-155-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_155.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_164.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-164
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-164
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-164-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_164.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_172.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-172
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-172
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-172-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_172.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_179.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-179
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-179
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-179-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_179.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_218.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-218
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-218
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-218-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_218.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_222.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-222
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-222
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-222-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_222.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_263.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-263
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-263
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-263-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_263.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_27.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-27
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-27
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-27-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_27.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_307.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-307
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-307
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-307-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_307.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_318.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-318
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-318
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-318-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_318.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_32.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-32
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-32
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-32-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_32.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_329.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-329
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-329
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-329-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_329.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_332.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-332
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-332
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-332-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_332.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_348.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-348
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-348
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-348-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_348.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_360.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-360
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-360
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-360-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_360.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_368.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-368
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-368
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-368-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_368.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_370.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-370
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-370
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-370-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_370.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_375.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-375
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-375
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-375-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_375.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_386.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-386
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-386
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-386-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_386.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_394.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-394
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-394
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-394-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_394.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_400.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-400
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-400
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-400-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_400.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_414.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-414
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-414
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-414-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_414.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_415.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-415
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-415
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-415-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_415.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_431.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-431
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-431
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-431-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_431.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_453.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-453
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-453
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-453-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_453.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_458.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-458
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-458
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-458-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_458.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_466.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-466
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-466
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-466-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_466.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_482.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-482
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-482
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-482-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_482.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_484.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-484
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-484
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-484-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_484.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_488.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-488
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-488
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-488-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_488.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_493.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-493
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-493
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-493-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_493.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_495.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-495
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-495
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-495-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_495.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_50.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-50
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-50
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-50-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_50.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_500.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-500
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-500
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-500-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_500.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_504.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-504
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-504
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-504-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_504.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_51.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-51
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-51
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-51-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_51.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_511.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-511
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-511
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-511-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_511.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_533.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-533
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-533
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-533-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_533.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_538.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-538
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-538
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-538-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_538.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_566.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-566
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-566
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-566-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_566.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_594.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-594
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-594
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-594-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_594.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_599.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-599
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-599
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-599-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_599.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_613.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-613
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-613
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-613-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_613.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_615.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-615
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-615
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-615-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_615.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_622.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-622
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-622
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-622-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_622.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_624.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-624
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-624
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-624-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_624.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_638.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-638
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-638
8
+ spec:
9
+ slotsPerWorker: 8
10
+ runPolicy:
11
+ backoffLimit: 1
12
+ cleanPodPolicy: Running
13
+ mpiReplicaSpecs:
14
+ Launcher:
15
+ replicas: 1
16
+ template:
17
+ spec:
18
+ hostIPC: true
19
+ volumes:
20
+ - name: work-dir
21
+ persistentVolumeClaim:
22
+ claimName: peacock-fs-pvc
23
+ containers:
24
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
25
+ name: peacock-tokenizer-en-bn-hn-638-launcher
26
+ imagePullPolicy: IfNotPresent
27
+ volumeMounts:
28
+ - name: work-dir
29
+ mountPath: /mnt/weka/peacock
30
+ command: ["/bin/bash", "-c"]
31
+ args:
32
+ - >-
33
+
34
+ export SYNAPSE_VERSION="1.15.1";
35
+ export WORKER_DIR="/mnt/weka/peacock/experiments/llama";
36
+
37
+ export MEGATRON_SETUP_CMD="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_638.sh
39
+ HOSTSFILE=$OMPI_MCA_orte_default_hostfile;
40
+ echo "HOSTSFILE=$HOSTSFILE";
41
+ MASTER_ADDR="$(head -n 1 $HOSTSFILE | sed -n s/[[:space:]]slots.*//p)";
42
+ NUM_NODES=$(wc -l < $HOSTSFILE);
43
+ CARDS_PER_NODE=8;
44
+ N_CARDS=$((NUM_NODES*CARDS_PER_NODE));
45
+ echo "MPI_ROOT=$MPI_ROOT";
46
+ echo "N_CARDS=$N_CARDS";
47
+ echo "MASTER_ADDR=$MASTER_ADDR";
48
+ sleep 20;
49
+
50
+
51
+ mpirun -np $N_CARDS -npernode 8 \
52
+ --tag-output \
53
+ --allow-run-as-root \
54
+ --prefix $MPI_ROOT \
55
+ -x WORKER_DIR=$WORKER_DIR \
56
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $MEGATRON_SETUP_CMD;
57
+
58
+ mpirun -np $N_CARDS -npernode 8 \
59
+ --tag-output \
60
+ --allow-run-as-root \
61
+ --prefix $MPI_ROOT \
62
+ -x WORKER_DIR=$WORKER_DIR \
63
+ -x SYNAPSE_VERSION=$SYNAPSE_VERSION $TOKENIZER_CMD;
64
+
65
+
66
+ Worker:
67
+ replicas: 1
68
+ template:
69
+ spec:
70
+ volumes:
71
+ - name: work-dir
72
+ persistentVolumeClaim:
73
+ claimName: peacock-fs-pvc
74
+ tolerations:
75
+ - key: "habana.ai/gaudi"
76
+ operator: "Exists"
77
+ effect: "NoSchedule"
78
+ - key: "k8s/namespace"
79
+ operator: "Equal"
80
+ value: "peacock"
81
+ effect: "NoSchedule"
82
+ hostIPC: true
83
+ containers:
84
+ - image: vault.habana.ai/gaudi-docker/1.15.1/ubuntu22.04/habanalabs/pytorch-installer-2.2.0:latest
85
+ name: peacock-llama-worker
86
+ imagePullPolicy: IfNotPresent
87
+ securityContext:
88
+ capabilities:
89
+ add:
90
+ - SYSLOG
91
+ resources:
92
+ limits:
93
+ habana.ai/gaudi: 8
94
+ hugepages-2Mi: 300Gi
95
+ memory: 700Gi
96
+ cpu: 150
97
+ requests:
98
+ habana.ai/gaudi: 8
99
+ hugepages-2Mi: 300Gi
100
+ memory: 700Gi
101
+ cpu: 150
102
+ volumeMounts:
103
+ - name: work-dir
104
+ mountPath: /mnt/weka/peacock