File size: 2,355 Bytes
465d9ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | #!/usr/bin/bash
set -x
umask 007
# βββ Config βββ
GPUS_PER_NODE=${GPUS_PER_NODE:-8}
LOG_RANK=${LOG_RANK:-"0"}
CONFIG_NAME=${CONFIG_NAME:-"robotwin_pretrain"}
SAVE_ROOT=${SAVE_ROOT:-"/c20250502/szh/train_out_ego2robotwin_postrain"}
LOG_DIR=${LOG_DIR:-"${SAVE_ROOT}/logs/torchrun"}
DEBUG=${DEBUG:-""}
cache_root=${CACHE_ROOT:-"/vepfs-mlp2/c20250502/haoce/szh/lingbot-va/cache_v2"}
debug_flag=""
if [ -n "${DEBUG}" ]; then
debug_flag="--debug"
fi
overrides=""
if [ $# -ne 0 ]; then
overrides="$*"
fi
# βββ Environment βββ
export DATASET_VERSION="v2"
export PYTHONUNBUFFERED=1
export PYTHONWARNINGS="ignore::UserWarning"
export TOKENIZERS_PARALLELISM=false
export PYTORCH_ALLOC_CONF="${PYTORCH_ALLOC_CONF:-expandable_segments:True}"
# export TORCH_DISTRIBUTED_DEBUG=DETAIL
export NCCL_IB_DISABLE=0
export NCCL_P2P_DISABLE=0
export NCCL_SHM_DISABLE=0
export NCCL_TIMEOUT=36000
export HF_HOME="${HF_HOME:-${cache_root}/hf_home}"
export HF_DATASETS_CACHE="${HF_DATASETS_CACHE:-${cache_root}/hf_datasets}"
export TMPDIR="${TMPDIR:-${cache_root}/tmp/node_${MLP_ROLE_INDEX}}"
export TORCHINDUCTOR_CACHE_DIR="${TORCHINDUCTOR_CACHE_DIR:-${cache_root}/torchinductor}"
export TRITON_CACHE_DIR="${TRITON_CACHE_DIR:-${cache_root}/triton}"
export TORCH_EXTENSIONS_DIR="${TORCH_EXTENSIONS_DIR:-${cache_root}/torch_extensions}"
export WANDB_API_KEY="${WANDB_API_KEY:-"705019b40922ce96942fbdca07c2b22ebc3891fe"}"
export WANDB_BASE_URL="${WANDB_BASE_URL:-"https://api.wandb.ai"}"
export WANDB_TEAM_NAME="${WANDB_TEAM_NAME:-"screatorx"}"
export WANDB_PROJECT="${WANDB_PROJECT:-"lingbot-va-ego2robotwin-postrain"}"
# βββ Setup dirs βββ
mkdir -p "${HF_HOME}" "${HF_DATASETS_CACHE}" "${TMPDIR}" \
"${TORCHINDUCTOR_CACHE_DIR}" "${TRITON_CACHE_DIR}" \
"${TORCH_EXTENSIONS_DIR}" "${LOG_DIR}"
# βββ Launch βββ
echo "GPUS_PER_NODE: ${GPUS_PER_NODE}"
LOG_FILE="${LOG_DIR}/train_node${MLP_ROLE_INDEX}_$(date +%Y%m%d_%H%M%S).log"
mkdir -p ${LOG_DIR}
torchrun \
--nnodes=$MLP_WORKER_NUM \
--node_rank=$MLP_ROLE_INDEX \
--master_addr=$MLP_WORKER_0_HOST \
--master_port=$MLP_WORKER_0_PORT \
--nproc_per_node=${GPUS_PER_NODE} \
-m wan_va.pretrain_v2 \
--config-name ${CONFIG_NAME} \
--save-root ${SAVE_ROOT} \
${debug_flag} \
$overrides \
2>&1 | tee ${LOG_FILE}
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