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  1. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_102.yaml +104 -0
  2. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_103.yaml +104 -0
  3. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_111.yaml +104 -0
  4. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_135.yaml +104 -0
  5. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_145.yaml +104 -0
  6. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_15.yaml +104 -0
  7. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_159.yaml +104 -0
  8. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_201.yaml +104 -0
  9. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_203.yaml +104 -0
  10. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_205.yaml +104 -0
  11. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_210.yaml +104 -0
  12. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_235.yaml +104 -0
  13. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_253.yaml +104 -0
  14. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_256.yaml +104 -0
  15. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_260.yaml +104 -0
  16. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_262.yaml +104 -0
  17. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_265.yaml +104 -0
  18. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_271.yaml +104 -0
  19. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_278.yaml +104 -0
  20. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_319.yaml +104 -0
  21. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_326.yaml +104 -0
  22. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_33.yaml +104 -0
  23. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_330.yaml +104 -0
  24. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_354.yaml +104 -0
  25. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_363.yaml +104 -0
  26. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_365.yaml +104 -0
  27. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_371.yaml +104 -0
  28. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_402.yaml +104 -0
  29. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_416.yaml +104 -0
  30. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_419.yaml +104 -0
  31. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_424.yaml +104 -0
  32. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_427.yaml +104 -0
  33. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_448.yaml +104 -0
  34. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_475.yaml +104 -0
  35. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_479.yaml +104 -0
  36. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_483.yaml +104 -0
  37. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_492.yaml +104 -0
  38. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_498.yaml +104 -0
  39. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_499.yaml +104 -0
  40. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_514.yaml +104 -0
  41. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_519.yaml +104 -0
  42. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_537.yaml +104 -0
  43. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_540.yaml +104 -0
  44. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_553.yaml +104 -0
  45. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_554.yaml +104 -0
  46. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_558.yaml +104 -0
  47. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_56.yaml +104 -0
  48. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_560.yaml +104 -0
  49. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_561.yaml +104 -0
  50. hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_573.yaml +104 -0
hn_eng_bn/tok_en-bn-hn/tok_jobs/tokenizer_102.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-102
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-102
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-102-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_102.sh
39
+ HOSTSFILE=$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_103.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-103
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-103
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-103-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_103.sh
39
+ HOSTSFILE=$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_111.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-111
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-111
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-111-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_111.sh
39
+ HOSTSFILE=$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_135.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-135
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-135
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-135-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_135.sh
39
+ HOSTSFILE=$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_145.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-145
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-145
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-145-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_145.sh
39
+ HOSTSFILE=$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_15.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-15
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-15
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-15-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_15.sh
39
+ HOSTSFILE=$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_159.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-159
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-159
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-159-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_159.sh
39
+ HOSTSFILE=$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_201.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-201
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-201
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-201-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_201.sh
39
+ HOSTSFILE=$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_203.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-203
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-203
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-203-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_203.sh
39
+ HOSTSFILE=$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_205.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-205
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-205
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-205-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_205.sh
39
+ HOSTSFILE=$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_210.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-210
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-210
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-210-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_210.sh
39
+ HOSTSFILE=$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_235.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-235
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-235
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-235-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_235.sh
39
+ HOSTSFILE=$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_253.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-253
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-253
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-253-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_253.sh
39
+ HOSTSFILE=$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_256.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-256
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-256
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-256-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_256.sh
39
+ HOSTSFILE=$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_260.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-260
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-260
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-260-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_260.sh
39
+ HOSTSFILE=$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_262.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-262
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-262
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-262-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_262.sh
39
+ HOSTSFILE=$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_265.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-265
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-265
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-265-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_265.sh
39
+ HOSTSFILE=$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_271.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-271
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-271
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-271-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_271.sh
39
+ HOSTSFILE=$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_278.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-278
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-278
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-278-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_278.sh
39
+ HOSTSFILE=$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_319.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-319
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-319
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-319-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_319.sh
39
+ HOSTSFILE=$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_326.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-326
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-326
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-326-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_326.sh
39
+ HOSTSFILE=$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_33.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-33
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-33
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-33-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_33.sh
39
+ HOSTSFILE=$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_330.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-330
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-330
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-330-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_330.sh
39
+ HOSTSFILE=$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_354.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-354
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-354
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-354-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_354.sh
39
+ HOSTSFILE=$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_363.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-363
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-363
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-363-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_363.sh
39
+ HOSTSFILE=$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_365.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-365
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-365
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-365-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_365.sh
39
+ HOSTSFILE=$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_371.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-371
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-371
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-371-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_371.sh
39
+ HOSTSFILE=$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_402.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-402
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-402
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-402-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_402.sh
39
+ HOSTSFILE=$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_416.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-416
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-416
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-416-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_416.sh
39
+ HOSTSFILE=$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_419.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-419
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-419
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-419-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_419.sh
39
+ HOSTSFILE=$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_424.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-424
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-424
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-424-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_424.sh
39
+ HOSTSFILE=$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_427.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-427
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-427
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-427-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_427.sh
39
+ HOSTSFILE=$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_448.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-448
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-448
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-448-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_448.sh
39
+ HOSTSFILE=$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_475.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-475
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-475
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-475-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_475.sh
39
+ HOSTSFILE=$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_479.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-479
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-479
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-479-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_479.sh
39
+ HOSTSFILE=$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_483.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-483
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-483
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-483-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_483.sh
39
+ HOSTSFILE=$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_492.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-492
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-492
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-492-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_492.sh
39
+ HOSTSFILE=$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_498.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-498
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-498
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-498-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_498.sh
39
+ HOSTSFILE=$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_499.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-499
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-499
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-499-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_499.sh
39
+ HOSTSFILE=$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_514.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-514
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-514
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-514-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_514.sh
39
+ HOSTSFILE=$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_519.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-519
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-519
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-519-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_519.sh
39
+ HOSTSFILE=$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_537.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-537
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-537
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-537-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_537.sh
39
+ HOSTSFILE=$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_540.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-540
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-540
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-540-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_540.sh
39
+ HOSTSFILE=$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_553.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-553
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-553
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-553-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_553.sh
39
+ HOSTSFILE=$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_554.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-554
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-554
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-554-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_554.sh
39
+ HOSTSFILE=$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_558.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-558
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-558
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-558-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_558.sh
39
+ HOSTSFILE=$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_56.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-56
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-56
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-56-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_56.sh
39
+ HOSTSFILE=$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_560.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-560
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-560
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-560-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_560.sh
39
+ HOSTSFILE=$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_561.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-561
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-561
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-561-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_561.sh
39
+ HOSTSFILE=$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_573.yaml ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ apiVersion: kubeflow.org/v2beta1
2
+ kind: MPIJob
3
+ metadata:
4
+ name: peacock-tokenizer-en-bn-hn-573
5
+ namespace: peacock
6
+ labels:
7
+ app: peacock-tokenizer-en-bn-hn-573
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-573-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="$WORKER_DIR/launch/setup.sh"
38
+ export TOKENIZER_CMD=/mnt/weka/peacock/idc/datasets/hn_eng_bn/tok_en-bn-hn/tok_files/tokenizer_573.sh
39
+ HOSTSFILE=$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