run-13b-pretrain-single.sh

#!/bin/bash
export HSA_FORCE_FINE_GRAIN_PCIE=1
export MIOPEN_FIND_MODE=3
export MIOPEN_COMPILE_PARALLEL_LEVEL=1
export NCCL_SOCKET_IFNAME=ib0
export NCCL_P2P_LEVEL=5
export RCCL_NCHANNELS=2
export NCCL_IB_HCA=mlx5_0

lrank=$OMPI_COMM_WORLD_LOCAL_RANK
echo "LRANK===============================$lrank"
RANK=$OMPI_COMM_WORLD_RANK
WORLD_SIZE=$OMPI_COMM_WORLD_SIZE


DATASET_PATH=../data/dataset.pt
MODEL_PATH=model_scope/Linly-llama-13b-base/model
SPM_MODEL_PATH=model_scope/Linly-llama-13b-base/tokenizer.model



APP="python3 ../pretrain.py --deepspeed --deepspeed_config ../models/deepspeed_zero3_config.json \
                      --pretrained_model_path  $MODEL_PATH \
                      --dataset_path $DATASET_PATH --spm_model_path $SPM_MODEL_PATH \
                      --config_path ../models/llama/13b_config.json \
                      --output_model_path output/13b/ --deepspeed_checkpoint_activations \
                      --world_size ${1} --data_processor lm\
                      --total_steps 10000 --save_checkpoint_steps 1000 --batch_size 2  --enable_zero3 \
"

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
  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
  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
  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
  numactl --cpunodebind=3 --membind=3 ${APP}
  ;;
esac