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ModelZoo
GPT2_pytorch
Commits
3f451e07
Commit
3f451e07
authored
Jul 25, 2023
by
liangjing
Browse files
update
parent
eeac1cc4
Pipeline
#458
failed with stage
Changes
3
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1
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lightop-0.1-cp37-cp37m-linux_x86_64.whl
lightop-0.1-cp37-cp37m-linux_x86_64.whl
+0
-0
run-16B-fp16.sh
run-16B-fp16.sh
+31
-0
single-16B-fp16.sh
single-16B-fp16.sh
+159
-0
No files found.
lightop-0.1-cp37-cp37m-linux_x86_64.whl
0 → 100644
View file @
3f451e07
File added
run-16B-fp16.sh
0 → 100644
View file @
3f451e07
#!/bin/bash
#SBATCH -p tydexclu01
#SBATCH -N 16
#SBATCH --cpus-per-task=1
#SBATCH --ntasks-per-node=32
#SBATCH --mem 0
#SBATCH --gres=dcu:4
#SBATCH -J gpt2
#SBATCH -o logs/gpt2-16B-%j.out
#SBATCH -e logs/gpt2-16B-%j.out
ulimit
-u
200000
export
NCCL_IB_HCA
=
mlx5
export
NCCL_SOCKET_IFNAME
=
ib0
export
HSA_FORCE_FINE_GRAIN_PCIE
=
1
export
OMP_NUM_THREADS
=
1
echo
"START TIME:
$(
date
)
"
rm
-f
./hostfile/
*
rm
-f
core.
*
hostfile
=
./hostfile/
$SLURM_JOB_ID
scontrol show hostnames
$SLURM_JOB_NODELIST
>
${
hostfile
}
for
i
in
`
cat
$hostfile
`
do
echo
${
i
}
slots
=
4
>>
`
pwd
`
/hostfile/hostfile-dl-
$SLURM_JOB_ID
done
np
=
$(
cat
$hostfile
|sort|uniq |wc
-l
)
np
=
$((
$np
*
4
))
nodename
=
$(
cat
$hostfile
|sed
-n
"1p"
)
dist_url
=
`
echo
$nodename
|
awk
'{print $1}'
`
mpirun
-np
$np
--allow-run-as-root
--hostfile
hostfile/hostfile-dl-
$SLURM_JOB_ID
--bind-to
none
`
pwd
`
/single-16B-fp16.sh
$dist_url
single-16B-fp16.sh
0 → 100644
View file @
3f451e07
#!/bin/bash
export
NCCL_SOCKET_IFNAME
=
ib0
export
NCCL_IB_HCA
=
mlx5
export
HSA_FORCE_FINE_GRAIN_PCIE
=
1
export
MIOPEN_FIND_MODE
=
3
export
ROCBLAS_COMPUTETYPE_FP16R
=
0
lrank
=
$OMPI_COMM_WORLD_LOCAL_RANK
RANK
=
$OMPI_COMM_WORLD_RANK
WORLD_SIZE
=
$OMPI_COMM_WORLD_SIZE
MODEL_NAME
=
gpt2-oscar_16B-4tp
DATA_OUTPUT_PATH
=
./
LOGS_PATH
=
$DATA_OUTPUT_PATH
/logs
CHECKPOINT_PATH
=
./output-module/
$MODEL_NAME
DATA_PATH
=
"my-gpt2_text_document"
TENSORBOARD_PATH
=
output_dir/tensorboard/
$MODEL_NAME
CODECARBON_PATH
=
output_dir/codecarbon/
$MODEL_NAME
TP_SIZE
=
4
# always fixed to the size of a single node
PP_SIZE
=
4
# NLAYERS must be a multiple of PP_SIZE here
MICRO_BATCH_SIZE
=
1
GLOBAL_BATCH_SIZE
=
128
NLAYERS
=
40
NHIDDEN
=
5760
NHEADS
=
24
SEQ_LEN
=
2048
SAVE_INTERVAL
=
1000
OPTIMIZER_ARGS
=
"
\
--optimizer adam
\
--adam-beta1 0.9
\
--adam-beta2 0.95
\
--adam-eps 1e-8
\
--lr 6.0e-5
\
--min-lr 6.0e-6
\
--lr-decay-style cosine
\
--clip-grad 1.0
\
--weight-decay 1e-1
\
"
GPT_ARGS
=
"
\
--num-layers
$NLAYERS
\
--hidden-size
$NHIDDEN
\
--num-attention-heads
$NHEADS
\
--seq-length
$SEQ_LEN
\
--max-position-embeddings
$SEQ_LEN
\
--micro-batch-size
$MICRO_BATCH_SIZE
\
--global-batch-size
$GLOBAL_BATCH_SIZE
\
--train_iters 8000
\
--loss-scale 12
\
--vocab-file gpt2-vocab.json
\
--merge-file gpt2-merges.txt
\
--clip-grad 1.0
\
--checkpoint-activations
\
--seed 42
$OPTIMIZER_ARGS
\
"
OUTPUT_ARGS
=
"
\
--log-interval 1
\
--save-interval
$SAVE_INTERVAL
\
--eval-interval 1000
\
--eval-iters 40
\
--tensorboard-dir
$TENSORBOARD_PATH
\
--tensorboard-queue-size 5
\
--log-timers-to-tensorboard
\
--log-batch-size-to-tensorboard
\
--log-validation-ppl-to-tensorboard
\
"
DATA_ARGS
=
"
\
--save
$CHECKPOINT_PATH
\
--load
$CHECKPOINT_PATH
\
--data-path
$DATA_PATH
\
"
ZERO_STAGE
=
1
config_json
=
"./
${
MODEL_NAME
}
_ds_config.json"
cat
<<
EOT
>
$config_json
{
"train_micro_batch_size_per_gpu":
$MICRO_BATCH_SIZE
,
"train_batch_size":
$GLOBAL_BATCH_SIZE
,
"gradient_clipping": 1.0,
"zero_optimization": {
"stage":
$ZERO_STAGE
},
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 500,
"hysteresis": 2,
"min_loss_scale": 1,
"initial_scale_power": 12
},
"steps_per_print": 2000,
"wall_clock_breakdown": false
}
EOT
DEEPSPEED_ARGS
=
"
\
--deepspeed
\
--deepspeed_config
${
config_json
}
\
--zero-stage
${
ZERO_STAGE
}
\
--deepspeed-activation-checkpointing
\
"
export
CMD
=
"
\
--tensor-model-parallel-size
$TP_SIZE
\
--pipeline-model-parallel-size
$PP_SIZE
\
$GPT_ARGS
\
$DATA_ARGS
\
$OUTPUT_ARGS
\
--data-impl mmap
\
--split 949,50,1
\
--distributed-backend nccl
\
$DEEPSPEED_ARGS
\
"
APP
=
"python3 -u
`
pwd
`
/pretrain_gpt.py
\
--rank
${
RANK
}
\
--world_size
${
WORLD_SIZE
}
\
--dist_url tcp://
${
1
}
:34566
\
--num-workers 2
\
${
CMD
}
\
"
case
${
lrank
}
in
[
0]
)
export
HIP_VISIBLE_DEVICES
=
0,1,2,3
export
UCX_NET_DEVICES
=
mlx5_0:1
export
UCX_IB_PCI_BW
=
mlx5_0:50Gbs
NCCL_SOCKET_IFNAME
=
ib0 numactl
--cpunodebind
=
0
--membind
=
0
${
APP
}
;;
[
1]
)
export
HIP_VISIBLE_DEVICES
=
0,1,2,3
export
UCX_NET_DEVICES
=
mlx5_1:1
export
UCX_IB_PCI_BW
=
mlx5_1:50Gbs
NCCL_SOCKET_IFNAME
=
ib0 numactl
--cpunodebind
=
1
--membind
=
1
${
APP
}
;;
[
2]
)
export
HIP_VISIBLE_DEVICES
=
0,1,2,3
export
UCX_NET_DEVICES
=
mlx5_2:1
export
UCX_IB_PCI_BW
=
mlx5_2:50Gbs
NCCL_SOCKET_IFNAME
=
ib0 numactl
--cpunodebind
=
2
--membind
=
2
${
APP
}
;;
[
3]
)
export
HIP_VISIBLE_DEVICES
=
0,1,2,3
export
UCX_NET_DEVICES
=
mlx5_3:1
export
UCX_IB_PCI_BW
=
mlx5_3:50Gbs
NCCL_SOCKET_IFNAME
=
ib0 numactl
--cpunodebind
=
3
--membind
=
3
${
APP
}
;;
esac
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