.dev_scripts/dockerci_npu.sh

#!/bin/bash
MODELSCOPE_CACHE_DIR=/modelscope_cache
CODE_DIR=$PWD
MODELSCOPE_SDK_DEBUG=True
echo "$USER"
gpus='0,1 2,3'
is_get_file_lock=false
CI_COMMAND=${CI_COMMAND:-bash .dev_scripts/ci_container_test.sh python tests/run.py --parallel 2 --run_config tests/run_config.yaml}
echo "ci command: $CI_COMMAND"
PR_CHANGED_FILES="${PR_CHANGED_FILES:-}"
echo "PR modified files: $PR_CHANGED_FILES"
PR_CHANGED_FILES=${PR_CHANGED_FILES//[ ]/#}
echo "PR_CHANGED_FILES: $PR_CHANGED_FILES"
idx=0
for gpu in $gpus
do
  exec {lock_fd}>"/tmp/gpu$gpu" || exit 1
  flock -n "$lock_fd" || { echo "WARN: gpu $gpu is in use!" >&2; idx=$((idx+1)); continue; }
  echo "get gpu lock $gpu"

  let is_get_file_lock=true

  # 设置环境变量
  export CI_TEST=True
  export TEST_LEVEL=$TEST_LEVEL
  export MODELSCOPE_CACHE=${MODELSCOPE_CACHE:-$MODELSCOPE_CACHE_DIR}
  export MODELSCOPE_DOMAIN=$MODELSCOPE_DOMAIN
  export HUB_DATASET_ENDPOINT=$HUB_DATASET_ENDPOINT
  export TEST_ACCESS_TOKEN_CITEST=$TEST_ACCESS_TOKEN_CITEST
  export TEST_ACCESS_TOKEN_SDKDEV=$TEST_ACCESS_TOKEN_SDKDEV
  export MODELSCOPE_ENVIRONMENT='ci'
  export TEST_UPLOAD_MS_TOKEN=$TEST_UPLOAD_MS_TOKEN
  export MODEL_TAG_URL=$MODEL_TAG_URL
  export MODELSCOPE_API_TOKEN=$MODELSCOPE_API_TOKEN
  export PR_CHANGED_FILES=$PR_CHANGED_FILES
  export CUDA_VISIBLE_DEVICES=$gpu

  if [ "$MODELSCOPE_SDK_DEBUG" == "True" ]; then
    export MODELSCOPE_SDK_DEBUG=True
    echo 'debugging'
  fi

  # 切换到代码目录并执行命令
  cd $CODE_DIR
  eval $CI_COMMAND

  if [ $? -ne 0 ]; then
    echo "Running test case failed, please check the log!"
    exit -1
  fi
  break
done

if [ "$is_get_file_lock" = false ] ; then
    echo 'No free GPU!'
    exit 1
fi