删除llama2_7b.sh

examples/llama/llama2_7b.sh

-#!/bin/bash
-# set -eux
-
-for para in $*
-do
-    if [[ $para == --profiling* ]];then
-        profiling=${para#*=}
-    fi
-done
-
-CURRENT_DIR="$( cd "$( dirname "$0" )" && pwd )"
-MEGATRON_PATH=$( dirname $( dirname ${CURRENT_DIR}))
-
-
-#default env
-#export FLASH_ATTENTION_PRINT_PARAM=1
-export HSA_FORCE_FINE_GRAIN_PCIE=1
-export OMP_NUM_THREADS=1
-export NCCL_P2P_LEVEL=PXB # SYS
-export GPU_MAX_HW_QUEUES=10
-#export HIP_ALLOC_INITIALIZE=0
-export CUDA_DEVICE_MAX_CONNECTIONS=1
-
-# nccl env
-export NCCL_ALGO=Ring
-export NCCL_NCHANNELS_PER_PEER=16
-export NCCL_MIN_NCHANNELS=32 # 20
-export NCCL_MAX_NCHANNELS=32 # 20
-export NCCL_IB_TIMEOUT=22
-export NCCL_NET_GDR_LEVEL=7
-export NCCL_NET_GDR_READ=1
-export RCCL_SDMA_COPY_ENABLE=0
-export NCCL_IB_HCA=mlx5_2:1,mlx5_3:1,mlx5_4:1,mlx5_5:1,mlx5_6:1,mlx5_7:1,mlx5_8:1,mlx5_9:1
-export NCCL_TOPO_FILE="/public/home/wangxj/Projects/rccl-test/rccl-tests-0204/topo-input.xml"
-export GLOG_minloglevel=3 # 打印error级别的nccl日志
-source /opt/dtk/env.sh
-
-# hipblaslt库
-export LD_LIBRARY_PATH=/public/home/wangxj/Downloads/blas/hipblaslt-install-dtk-25.04-0212/lib:$LD_LIBRARY_PATH 
-
-# rocblas
-export LD_LIBRARY_PATH=/public/home/wangxj/Downloads/blas/rocblas-install-0227/lib:$LD_LIBRARY_PATH
-
-# torch控制多流转单流
-export ALLREDUCE_STREAM_WITH_COMPUTE=1
-export SENDRECV_STREAM_WITH_COMPUTE=1 
-
-#增加编译缓存
-export cache_size_limit=64
-
-# CHECKPOINT_PATH=./Llama-2-7b-hf-to-meg-tp1-pp2 #CHECKPOINT_PATH=./tmp_7b # 
-SAVE_PATH=./tmp_7b
-TENSORBOARD_LOGS_PATH=./tmp_7b  #$2 #<Specify path>
-DATA_PATH="/public/home/wangxj/Downloads/datasets/oscar-1GB/oscar-1GB-llama2_text_document" #<Specify path and file prefix>_text_document
-
-GPT_MODEL_ARGS=(
-    --num-layers 32
-    --hidden-size 4096
-    --ffn-hidden-size 11008 
-    --num-attention-heads 32
-    --max-position-embeddings 4096
-
-    --normalization RMSNorm 
-    --position-embedding-type rope # none # 
-    --untie-embeddings-and-output-weights # 分开处理embed和输出权重, 增加灵活性
-)
-
-export NVTE_FLASH_ATTN=1 # 走cutlass
-# export NVTE_FLASH_ATTN_TRITON=1 # 走triton_fa
-# --transformer-impl transformer_engine # 走core用这两组参数
-    # --use-mcore-models
-    # --transformer-impl local # 走legacy用这两组参数
-    # --use-legacy-models 
-TRAINING_ARGS=(
-    --transformer-impl local # 走legacy用这两组参数
-    --use-legacy-models 
-    --micro-batch-size 1
-    --global-batch-size 256 #256 #240 #60 #512 #64
-    --train-iters 50
-    --weight-decay 0.1 
-    --adam-beta1 0.9 
-    --adam-beta2 0.95 
-    --init-method-std 0.006 
-    --clip-grad 1.0 
-    --bf16
-    # --fp16 # 开启fp16需要指定loss-scale
-    # --loss-scale 1024
-    --use-distributed-optimizer 
-    --disable-bias-linear
-    --attention-dropout 0
-    --hidden-dropout 0
-    # --no-gradient-accumulation-fusion
-    --swiglu
-    --lr 3.0e-5 
-    --lr-decay-style cosine 
-    --min-lr 3.0e-6
-    --lr-warmup-iters 1
-    --ckpt-format torch
-    --ddp-average-in-collective # 在dp阶段通信中, 梯度或参数将被直接平均, 而不是先求和(到一个设备)再平均
-    # --recompute-granularity full # 开启重计算降低显存增加耗时
-    # --recompute-num-layers 5 #0 #
-    # --recompute-method block
-    --overlap-grad-reduce # 重叠ddp grad reduce
-    # --tp-comm-overlap # tensor parallel comm和gemm重叠, 优化项未适配
-    # --tp-comm-overlap-rs-dgrad # reduce-scatter和dgrad gemm重叠
-    --use-flash-attn
-)
-# 使用torch fa的环境变量
-# export TORCHINDUCTOR_COORDINATE_DESCENT_TUNING=1
-# export TORCHINDUCTOR_BENCHMARK_FUSION=1
-# export TORCHINDUCTOR_BENCHMARK_MULTI_TEMPLATES=1
-# export TORCHINDUCTOR_MAX_AUTOTUNE=1
-# export TORCHINDUCTOR_CACHE_DIR=./cache
-# --use-flash-attn-cutlass # cutlass fa
-# --use-flash-attn-triton # triton fa
-# --use-flash-attn-torch # torch fa
-
-MODEL_PARALLEL_ARGS=(
-    --sequence-parallel
-	--tensor-model-parallel-size 1
-	--pipeline-model-parallel-size 2
-  # --context-parallel-size 2
-  # --num-layers-per-virtual-pipeline-stage 4
-  # --microbatch-group-size-per-virtual-pipeline-stage 1
-  # --no-overlap-p2p-communication # 开启后
-)
-
-DATA_ARGS=(
-    --data-path $DATA_PATH 
-    --seq-length 4096 #4096
-    --split 949,50,1
-    --tokenizer-type Llama2Tokenizer
-    --tokenizer-model /public/home/wangxj/Downloads/model_weights/llama2_7b_hf/tokenizer.model
-)
-
-EVAL_AND_LOGGING_ARGS=(
-    --log-throughput
-    --eval-iters 50
-    --log-interval 1
-    --save-interval 1000 
-    --eval-interval 1000 
-    --save $SAVE_PATH 
-    --load $SAVE_PATH 
-    --tensorboard-dir $TENSORBOARD_LOGS_PATH 
-)
-
-# FINETUNE_ARGS=(
-#     # --finetune
-#     # --pretrained-checkpoint $CHECKPOINT_PATH
-#     --load $CHECKPOINT_PATH
-#     --no-load-optim
-#     --no-load-rng
-# )
-
-PROFILE_ARGS=(
-    --profile
-    --profile-step-start 4
-    --profile-step-end 5
-    --use-pytorch-profiler
-    --profile-ranks 0 1 2 3 4 5 6 7
-    --profile-dir prof_data
-)
-
-RANK=$OMPI_COMM_WORLD_RANK
-LOCAL_RANK=$OMPI_COMM_WORLD_LOCAL_RANK
-WORLD_SIZE=$OMPI_COMM_WORLD_SIZE
-DIST_URL=${1}
-DIST_PORT=34577
-
-DISTRIBUTED_ARGS=(
-    --rank ${RANK}
-    --world-size ${WORLD_SIZE}
-    --local-rank ${LOCAL_RANK}
-    --dist-url tcp://${DIST_URL}:${DIST_PORT}
-)
-
-APP="python -u ${MEGATRON_PATH}/pretrain_gpt.py \
-        ${GPT_MODEL_ARGS[@]} \
-        ${TRAINING_ARGS[@]} \
-        ${MODEL_PARALLEL_ARGS[@]} \
-        ${DATA_ARGS[@]} \
-        ${EVAL_AND_LOGGING_ARGS[@]} \
-        ${DISTRIBUTED_ARGS[@]} \
-        
-"
-# 开启profile
-# ${PROFILE_ARGS[@]} \
-
-# export HIP_VISIBLE_DEVICES=0,7 #  # 4,5,6,7 #,
-export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 #  # 4,5,6,7 #,
-# export CUDA_VISIBLE_DEVICES=4,5,6,7 # 0,1,2,3,
-# ${APP}
-case ${LOCAL_RANK} in
-[0])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-[1])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  numactl --cpunodebind=1 --membind=1 ${APP}
-  ;;
-[2])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  numactl --cpunodebind=2 --membind=2 ${APP}
-  ;;
-[3])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  numactl --cpunodebind=3 --membind=3 ${APP}
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-[4])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  numactl --cpunodebind=4 --membind=4 ${APP}
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-[5])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  numactl --cpunodebind=5 --membind=5 ${APP}
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-[6])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  numactl --cpunodebind=6 --membind=6 ${APP}
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-[7])
-  export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
-  numactl --cpunodebind=7 --membind=7 ${APP}
-  # hipprof --hip-trace --trace-off numactl --cpunodebind=0 --membind=0 ${APP}
-  ;;
-esac
\ No newline at end of file