File size: 2,123 Bytes
7294ba3 | 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 74 75 76 77 78 79 80 | #!/bin/bash
source /usr/local/Ascend/ascend-toolkit/set_env.sh
export CUDA_DEVICE_MAX_CONNECTIONS=1
export ASCEND_SLOG_PRINT_TO_STDOUT=0
export ASCEND_GLOBAL_LOG_LEVEL=3
export TASK_QUEUE_ENABLE=1
export COMBINED_ENABLE=1
export CPU_AFFINITY_CONF=1
export HCCL_CONNECT_TIMEOUT=1200
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
MASTER_ADDR=${master_addr:=$ARNOLD_WORKER_0_HOST}
MASTER_PORT=${master_port:=$(echo "$ARNOLD_WORKER_0_PORT" | cut -d "," -f 1)}
NPUS_PER_NODE=$ARNOLD_WORKER_GPU
NNODES=$ARNOLD_WORKER_NUM
NODE_RANK=$ARNOLD_ID
trial_id=$ARNOLD_TRIAL_ID
echo MASTER_ADDR $MASTER_ADDR
echo MASTER_PORT $MASTER_PORT
echo NPUS_PER_NODE $NPUS_PER_NODE
echo NNODES $NNODES
echo NODE_RANK $NODE_RANK
WORLD_SIZE=$(($NPUS_PER_NODE*$NNODES))
TP=1
PP=1
CP=1
MBS=1
GBS=$(($WORLD_SIZE*$MBS/$CP))
MM_DATA=${MM_DATA:-'configs/feature_extract/data.json'}
MM_MODEL=${MM_MODEL:-'configs/feature_extract/model.json'}
MM_TOOL=${MM_TOOL:-'configs/feature_extract/tools.json'}
LOAD_PATH="/pretrained_model/mm_dir/Qwen2.5-VL-7B-Instruct"
DISTRIBUTED_ARGS="
--nproc_per_node $NPUS_PER_NODE \
--nnodes $NNODES \
--node_rank $NODE_RANK \
--master_addr $MASTER_ADDR \
--master_port $MASTER_PORT
"
GPT_ARGS="
--tensor-model-parallel-size ${TP} \
--pipeline-model-parallel-size ${PP} \
--context-parallel-size ${CP} \
--micro-batch-size ${MBS} \
--global-batch-size ${GBS} \
--num-layers 1 \
--num-workers 8 \
--hidden-size 3072 \
--num-attention-heads 48 \
--seq-length 24 \
--max-position-embeddings 24 \
--attention-dropout 0.0 \
--hidden-dropout 0.0 \
--tokenizer-type NullTokenizer \
--vocab-size 0 \
--position-embedding-type rope \
--rotary-base 500000 \
--swiglu \
--no-masked-softmax-fusion \
--load $LOAD_PATH \
--bf16 \
"
MM_ARGS="
--mm-data $MM_DATA \
--mm-model $MM_MODEL \
--mm-tool $MM_TOOL
"
export PYTHONPATH=$PYTHONPATH:`pwd`/MindSpeed-MM:`pwd`/MindSpeed
torchrun $DISTRIBUTED_ARGS s2v/tools/feature_extract/get_sora_feature.py \
$GPT_ARGS \
$MM_ARGS \
--distributed-backend nccl
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