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#!/bin/bash
#SBATCH --job-name=meg_gpt2_perf_n4
#SBATCH --constraint=v100-32g
#SBATCH --nodes=4
#SBATCH --ntasks-per-node=1 # crucial - only 1 task per dist per node!
#SBATCH --cpus-per-task=40 # number of cores per tasks
#SBATCH --hint=nomultithread # we get physical cores not logical
#SBATCH --gres=gpu:4 # number of gpus
#SBATCH --time 00:10:00 # maximum execution time (HH:MM:SS)
#SBATCH --output=%x-%j.out # output file name
#SBATCH --error=%x-%j.out # error file name (same to watch just one file)
#SBATCH --account=six@gpu
set -x -e
source $six_ALL_CCFRWORK/start-prod
nvidia-smi
cd $six_ALL_CCFRWORK/code/megatron-lm/
CHECKPOINT_PATH=$six_ALL_CCFRWORK/models-custom/megatron-gpt2/megatron_lm_345m_v0.0/release
VOCAB_FILE=$CHECKPOINT_PATH/gpt2-vocab.json
MERGE_FILE=$CHECKPOINT_PATH/gpt2-merges.txt
DATA_PATH=$six_ALL_CCFRWORK/datasets-custom/openwebtext-10k/meg-gpt2_text_document
SAVE_CHECKPOINT_PATH=$six_ALL_CCFRSCRATCH/checkpoints/gpt2-1-node
MASTER_ADDR=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1)
MASTER_PORT=6000
# adjust depending on the number of the nodes
NNODES=4
PP_SIZE=8 # NLAYERS must be a multiple of PP_SIZE here
MICRO_BATCH_SIZE=6
PP_CHUNKS=128
MSIZE=18
if [[ ${MSIZE} == 7 ]]; then NHIDDEN=4096; NLAYERS=36
elif [[ ${MSIZE} == 14 ]]; then NHIDDEN=6144; NLAYERS=32
elif [[ ${MSIZE} == 18 ]]; then NHIDDEN=6144; NLAYERS=40
elif [[ ${MSIZE} == 25 ]]; then NHIDDEN=7168; NLAYERS=40
elif [[ ${MSIZE} == 30 ]]; then NHIDDEN=7168; NLAYERS=48
elif [[ ${MSIZE} == 39 ]]; then NHIDDEN=8192; NLAYERS=48
elif [[ ${MSIZE} == 52 ]]; then NHIDDEN=8192; NLAYERS=64
elif [[ ${MSIZE} == 65 ]]; then NHIDDEN=9216; NLAYERS=64
elif [[ ${MSIZE} == 81 ]]; then NHIDDEN=10240; NLAYERS=64
elif [[ ${MSIZE} == 97 ]]; then NHIDDEN=11264; NLAYERS=64
elif [[ ${MSIZE} == 116 ]]; then NHIDDEN=12288; NLAYERS=64
elif [[ ${MSIZE} == 136 ]]; then NHIDDEN=13312; NLAYERS=64
elif [[ ${MSIZE} == 158 ]]; then NHIDDEN=14336; NLAYERS=64
elif [[ ${MSIZE} == 181 ]]; then NHIDDEN=15360; NLAYERS=64
elif [[ ${MSIZE} == 206 ]]; then NHIDDEN=16384; NLAYERS=64
else echo "invalid MSIZE: $MSIZE"
fi
GPUS_PER_NODE=4
NHEADS=32
SEQ_LEN=1024
VOCAB_SIZE=50257
DP_SIZE=1
TP_SIZE=4
GLOBAL_BATCH_SIZE=$(($MICRO_BATCH_SIZE*$PP_CHUNKS*$DP_SIZE))
WORLD_SIZE=$(($GPUS_PER_NODE*$NNODES))
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
--lr 0.00015 \
--lr-decay-style cosine \
--min-lr 1.0e-5 \
--train-iters 1000 \
--lr-decay-iters 800 \
--lr-warmup-fraction .01 \
--weight-decay 1e-2 \
--clip-grad 1.0 \
--vocab-file $VOCAB_FILE \
--merge-file $MERGE_FILE \
--fp16 \
--checkpoint-activations \
"
OUTPUT_ARGS=" \
--log-interval 1 \
--save-interval 500 \
--eval-interval 100 \
--eval-iters 10 \
"
export LAUNCHER="python -u -m torch.distributed.launch \
--nproc_per_node $GPUS_PER_NODE \
--nnodes $NNODES \
--master_addr $MASTER_ADDR \
--master_port $MASTER_PORT \
"
export CMD=" \
`pwd`/pretrain_gpt.py \
--tensor-model-parallel-size $TP_SIZE \
--pipeline-model-parallel-size $PP_SIZE \
$GPT_ARGS \
$OUTPUT_ARGS \
--save $SAVE_CHECKPOINT_PATH \
--load $SAVE_CHECKPOINT_PATH \
--data-path $DATA_PATH \
--data-impl mmap \
--split 949,50,1 \
--distributed-backend nccl \
"
# clear old checkpoint as it'd mismatch while we sort things out
rm -rf $six_ALL_CCFRWORK/checkpoints/gpt2-1-node
# model size
python -c "h=$NHIDDEN; l=$NLAYERS; s=$SEQ_LEN; v=$VOCAB_SIZE; print(f'Model size: {(l * (12*h**2 + 13*h) + (v * h) + (s * h) ) / 10**9 :.0f}B')"
# to debug - add echo (it exits and prints what it would have launched)
clear; srun --jobid $SLURM_JOBID bash -c '$LAUNCHER --node_rank $SLURM_PROCID $CMD' 2>&1 | tee meg_gpt2_perf_n4.out
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