#!/bin/bash #sh run_pretrain_megatron_bloom.sh dsw /workspace/Megatron-LM/ /workspace/PAI-Megatron-Patch/ 1.7B 1 8 1e-5 1e-6 2048 0 fp16 1 1 sel true false false 100000 /mnt/wudao/wudao_bloombpe_text_document /mnt/bloom-ckpts/bloomz-1b7-to-megatron-tp1-pp1 100000000 10000 /mnt/output_bloom set -e ENV=$1 MEGATRON_PATH=$2 MEGATRON_PATCH_PATH=$3 export PYTHONPATH=${MEGATRON_PATH}:${MEGATRON_PATCH_PATH}:$PYTHONPATH export CUDA_DEVICE_MAX_CONNECTIONS=1 if [ $ENV = dsw ]; then export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 MASTER_ADDR=localhost MASTER_PORT=$(shuf -n 1 -i 10000-65535) NNODES=1 NODE_RANK=0 GPUS_PER_NODE=8 elif [ $ENV = dlc ]; then NNODES=${WORLD_SIZE} NODE_RANK=${RANK} GPUS_PER_NODE=${KUBERNETES_CONTAINER_RESOURCE_GPU} fi DISTRIBUTED_ARGS="--nproc_per_node $GPUS_PER_NODE --nnodes $NNODES --node_rank $NODE_RANK --master_addr $MASTER_ADDR --master_port $MASTER_PORT" MODEL_SIZE=$4 BATCH_SIZE=$5 GLOBAL_BATCH_SIZE=$6 LR=$7 MIN_LR=$8 SEQ_LEN=$9 EXTRA_VOCAB_SIZE=${10} PR=${11} TP=${12} PP=${13} AC=${14} DO=${15} FL=${16} SP=${17} SAVE_INTERVAL=${18} DATASET_PATH=${19} PRETRAIN_CHECKPOINT_PATH=${20} TRAIN_TOKENS=${21} WARMUP_TOKENS=${22} OUTPUT_BASEPATH=${23} if [ $MODEL_SIZE = 1.1B ]; then NUM_LAYERS=24 HIDDEN_SIZE=1536 NUM_ATTN_HEADS=16 elif [ $MODEL_SIZE = 1.7B ]; then NUM_LAYERS=24 HIDDEN_SIZE=2048 NUM_ATTN_HEADS=16 elif [ $MODEL_SIZE = 7.1B ]; then NUM_LAYERS=30 HIDDEN_SIZE=4096 NUM_ATTN_HEADS=32 fi if [ $PRETRAIN_CHECKPOINT_PATH != none ]; then load_options=" \ --load $PRETRAIN_CHECKPOINT_PATH" fi if [ $AC = full ]; then activation_checkpoint_options=" \ --recompute-method uniform \ --recompute-granularity full" elif [ $AC = sel ]; then activation_checkpoint_options=" \ --recompute-activations" elif [ $AC = none ]; then activation_checkpoint_options=" \ " fi if [ $PR = fp16 ]; then pr_options=" \ --fp16" elif [ $PR = bf16 ]; then pr_options=" \ --bf16" fi if [ $DO = true ]; then do_options=" \ --use-distributed-optimizer" elif [ $DO = false ]; then do_options=" \ " fi if [ $FL = true ]; then flash_options=" \ --use-flash-attn" elif [ $FL = false ]; then flash_options=" \ " fi if [ $SP = true ] && [ $TP -gt 1 ]; then sp_options=" \ --sequence-parallel" elif [ $SP = false ]; then sp_options=" \ " fi TRAIN_ITERS=$(( ${TRAIN_TOKENS} / ${GLOBAL_BATCH_SIZE} / ${SEQ_LEN} )) LR_WARMUP_ITERS=$(( ${WARMUP_TOKENS} / ${GLOBAL_BATCH_SIZE} / ${SEQ_LEN} )) LR_DECAY_ITERS=$(( ${TRAIN_TOKENS} / ${GLOBAL_BATCH_SIZE} / ${SEQ_LEN} )) NAME="${ENV}-pretrain-megatron-bloom-${MODEL_SIZE}-lr-${LR}-bs-${BATCH_SIZE}-seqlen-${SEQ_LEN}-pr-${PR}-tp-${TP}-pp-${PP}-ac-${AC}-do-${DO}-sp-${SP}-tt-${TRAIN_TOKENS}-wt-${WARMUP_TOKENS}" mkdir -p "${OUTPUT_BASEPATH}/tensorboard/" mkdir -p "${OUTPUT_BASEPATH}/checkpoint/" mkdir -p "${OUTPUT_BASEPATH}/log/" current_time=$(date "+%Y.%m.%d-%H.%M.%S") TENSORBOARD_DIR="${OUTPUT_BASEPATH}/tensorboard/${NAME}_${current_time}" mkdir -p ${TENSORBOARD_DIR} SAVED_PRETRAIN_CHECKPOINT_PATH="${OUTPUT_BASEPATH}/checkpoint/${NAME}" megatron_options=" \ --save ${SAVED_PRETRAIN_CHECKPOINT_PATH} \ --split 98,2,0 \ --data-impl mmap \ --data-path ${DATASET_PATH} --lr ${LR} \ --min-lr ${MIN_LR} \ --lr-decay-style linear \ --adam-beta1 0.9 \ --adam-beta2 0.95 \ --weight-decay 0.1 \ --clip-grad 1.0 \ --init-method-std 0.006 \ --lr-decay-iters ${LR_DECAY_ITERS} \ --lr-warmup-iters ${LR_WARMUP_ITERS} \ --train-iters ${TRAIN_ITERS} \ --micro-batch-size ${BATCH_SIZE} \ --global-batch-size ${GLOBAL_BATCH_SIZE} \ --num-layers ${NUM_LAYERS} \ --hidden-size ${HIDDEN_SIZE} \ --num-attention-heads ${NUM_ATTN_HEADS} \ --seq-length ${SEQ_LEN} \ --max-position-embeddings ${SEQ_LEN} \ --log-interval 1 \ --eval-interval 100 \ --eval-iters 10 \ --save-interval ${SAVE_INTERVAL} \ --tensorboard-queue-size 1 \ --tensorboard-dir ${TENSORBOARD_DIR} \ --log-timers-to-tensorboard \ --log-batch-size-to-tensorboard \ --log-validation-ppl-to-tensorboard \ --tensor-model-parallel-size ${TP} \ --pipeline-model-parallel-size ${PP} \ --DDP-impl local \ --no-load-optim \ --no-load-rng \ --num-workers 8 \ --seed 1234 \ --extra-vocab-size ${EXTRA_VOCAB_SIZE} \ --embed-layernorm \ --position-embedding-type alibi \ --patch-tokenizer-type BloomTokenizerFromHF " run_cmd="torchrun $DISTRIBUTED_ARGS pretrain_megatron_bloom.py ${megatron_options} ${activation_checkpoint_options} ${do_options} ${pr_options} ${sp_options} ${flash_options} ${load_options}" echo ${run_cmd} eval ${run_cmd} set +x