internlm-lmdeploy-personal_assistant / service_docker_up.sh
Yuliang Fang
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#!/bin/sh
show_help() {
echo "Usage: $0 [-h] [--help] [-l] [--lib-dir]"
echo
echo "Options:"
echo " -h, --help Show this help message and exit"
echo " --lib-dir Specify the directory of turbomind libraries"
}
# check if '-h' or '--help' in the arguments
for arg in "$@"
do
if [ "$arg" == "-h" ] || [ "$arg" == "--help" ]; then
show_help
exit 0
fi
done
TP=1
DEVICES="0"
for ((i = 1; i < ${TP}; ++i)); do
DEVICES="${DEVICES},$i"
done
DEVICES="\"device=${DEVICES}\""
SCRIPT_DIR="$(dirname "$0")"
SCRIPT_ABS_DIR="$(realpath "$SCRIPT_DIR")"
if [ -z "$1" ]; then
docker run \
--gpus $DEVICES \
--rm \
-v "${SCRIPT_ABS_DIR}":/workspace/models \
--shm-size 16g \
-p 33336:22 \
-p 33337-33400:33337-33400 \
--cap-add=SYS_PTRACE \
--cap-add=SYS_ADMIN \
--security-opt seccomp=unconfined \
--name lmdeploy \
-it --env NCCL_LAUNCH_MODE=GROUP openmmlab/lmdeploy:latest \
tritonserver \
--model-repository=/workspace/models/model_repository \
--allow-http=0 \
--allow-grpc=1 \
--grpc-port=33337 \
--log-verbose=0 \
--allow-metrics=1
fi
for ((i = 1; i <= $#; i++)); do
arg=${!i}
case "$arg" in
--lib-dir)
if [ "$i" -eq "$#" ]; then
show_help
exit -1
fi
LIB_PATH=${@:i+1:1}
docker run \
--gpus $DEVICES \
--rm \
-v "${LIB_PATH}":/opt/tritonserver/backends/turbomind \
-v ""${SCRIPT_ABS_DIR}"":/workspace/models \
--shm-size 16g \
-p 33336:22 \
-p 33337-33400:33337-33400 \
--cap-add=SYS_PTRACE \
--cap-add=SYS_ADMIN \
--security-opt seccomp=unconfined \
--name lmdeploy \
-it --env NCCL_LAUNCH_MODE=GROUP openmmlab/lmdeploy:latest \
tritonserver \
--model-repository=/workspace/models/model_repository \
--allow-http=0 \
--allow-grpc=1 \
--grpc-port=33337 \
--log-verbose=0 \
--allow-metrics=1
break
;;
esac
done