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  1. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_107.yaml +104 -0
  2. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_113.yaml +104 -0
  3. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_123.yaml +104 -0
  4. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_134.yaml +104 -0
  5. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_138.yaml +104 -0
  6. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_147.yaml +104 -0
  7. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_16.yaml +104 -0
  8. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_165.yaml +104 -0
  9. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_166.yaml +104 -0
  10. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_169.yaml +104 -0
  11. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_178.yaml +104 -0
  12. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_195.yaml +104 -0
  13. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_206.yaml +104 -0
  14. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_211.yaml +104 -0
  15. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_224.yaml +104 -0
  16. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_237.yaml +104 -0
  17. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_241.yaml +104 -0
  18. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_246.yaml +104 -0
  19. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_249.yaml +104 -0
  20. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_255.yaml +104 -0
  21. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_258.yaml +104 -0
  22. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_26.yaml +104 -0
  23. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_276.yaml +104 -0
  24. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_30.yaml +104 -0
  25. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_31.yaml +104 -0
  26. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_311.yaml +104 -0
  27. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_314.yaml +104 -0
  28. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_327.yaml +104 -0
  29. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_352.yaml +104 -0
  30. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_357.yaml +104 -0
  31. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_358.yaml +104 -0
  32. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_383.yaml +104 -0
  33. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_389.yaml +104 -0
  34. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_391.yaml +104 -0
  35. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_399.yaml +104 -0
  36. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_4.yaml +104 -0
  37. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_405.yaml +104 -0
  38. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_407.yaml +104 -0
  39. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_42.yaml +104 -0
  40. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_423.yaml +104 -0
  41. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_430.yaml +104 -0
  42. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_449.yaml +104 -0
  43. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_456.yaml +104 -0
  44. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_468.yaml +104 -0
  45. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_472.yaml +104 -0
  46. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_506.yaml +104 -0
  47. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_512.yaml +104 -0
  48. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_555.yaml +104 -0
  49. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_578.yaml +104 -0
  50. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_583.yaml +104 -0
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_107.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-107
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-107
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-107-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_107.sh
39
+ HOSTSFILE=$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_113.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-113
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-113
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-113-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_113.sh
39
+ HOSTSFILE=$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_123.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-123
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-123
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-123-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_123.sh
39
+ HOSTSFILE=$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_134.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-134
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-134
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-134-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_134.sh
39
+ HOSTSFILE=$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_138.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-138
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-138
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-138-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_138.sh
39
+ HOSTSFILE=$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_147.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-147
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-147
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-147-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_147.sh
39
+ HOSTSFILE=$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_16.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-16
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-16
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-16-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_16.sh
39
+ HOSTSFILE=$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_165.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-165
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-165
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-165-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_165.sh
39
+ HOSTSFILE=$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_166.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-166
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-166
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-166-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_166.sh
39
+ HOSTSFILE=$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_169.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-169
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-169
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-169-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_169.sh
39
+ HOSTSFILE=$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_178.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-178
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-178
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-178-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_178.sh
39
+ HOSTSFILE=$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_195.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-195
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-195
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-195-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_195.sh
39
+ HOSTSFILE=$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_206.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-206
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-206
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-206-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_206.sh
39
+ HOSTSFILE=$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_211.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-211
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-211
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-211-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_211.sh
39
+ HOSTSFILE=$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_224.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-224
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-224
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-224-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_224.sh
39
+ HOSTSFILE=$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_237.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-237
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-237
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-237-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_237.sh
39
+ HOSTSFILE=$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_241.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-241
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-241
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-241-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_241.sh
39
+ HOSTSFILE=$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_246.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-246
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-246
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-246-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_246.sh
39
+ HOSTSFILE=$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_249.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-249
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-249
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-249-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_249.sh
39
+ HOSTSFILE=$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_255.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-255
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-255
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-255-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_255.sh
39
+ HOSTSFILE=$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_258.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-258
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-258
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-258-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_258.sh
39
+ HOSTSFILE=$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_26.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-26
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-26
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-26-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_26.sh
39
+ HOSTSFILE=$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_276.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-276
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-276
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-276-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_276.sh
39
+ HOSTSFILE=$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_30.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-30
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-30
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-30-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_30.sh
39
+ HOSTSFILE=$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_31.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-31
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-31
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-31-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_31.sh
39
+ HOSTSFILE=$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_311.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-311
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-311
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-311-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_311.sh
39
+ HOSTSFILE=$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_314.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-314
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-314
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-314-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_314.sh
39
+ HOSTSFILE=$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_327.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-327
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-327
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-327-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_327.sh
39
+ HOSTSFILE=$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_352.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-352
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-352
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-352-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_352.sh
39
+ HOSTSFILE=$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_357.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-357
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-357
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-357-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_357.sh
39
+ HOSTSFILE=$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_358.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-358
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-358
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-358-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_358.sh
39
+ HOSTSFILE=$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_383.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-383
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-383
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-383-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_383.sh
39
+ HOSTSFILE=$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_389.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-389
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-389
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-389-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_389.sh
39
+ HOSTSFILE=$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_391.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-391
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-391
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-391-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_391.sh
39
+ HOSTSFILE=$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_399.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-399
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-399
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-399-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_399.sh
39
+ HOSTSFILE=$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_4.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-4
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-4
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-4-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_4.sh
39
+ HOSTSFILE=$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_405.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-405
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-405
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-405-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_405.sh
39
+ HOSTSFILE=$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_407.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-407
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-407
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-407-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_407.sh
39
+ HOSTSFILE=$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_42.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-42
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-42
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-42-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_42.sh
39
+ HOSTSFILE=$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_423.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-423
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-423
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-423-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_423.sh
39
+ HOSTSFILE=$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_430.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-430
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-430
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-430-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_430.sh
39
+ HOSTSFILE=$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_449.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-449
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-449
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-449-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_449.sh
39
+ HOSTSFILE=$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_456.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-456
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-456
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-456-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_456.sh
39
+ HOSTSFILE=$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_468.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-468
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-468
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-468-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_468.sh
39
+ HOSTSFILE=$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_472.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-472
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-472
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-472-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_472.sh
39
+ HOSTSFILE=$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_506.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-506
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-506
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-506-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_506.sh
39
+ HOSTSFILE=$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_512.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-512
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-512
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-512-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_512.sh
39
+ HOSTSFILE=$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_555.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-555
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-555
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-555-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_555.sh
39
+ HOSTSFILE=$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_578.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-578
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-578
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-578-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_578.sh
39
+ HOSTSFILE=$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_583.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-583
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-583
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-583-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_583.sh
39
+ HOSTSFILE=$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