.dev_scripts/run_docker.sh

#sudo docker run --name zwm_maas -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace   --net host -ti reg.docker.alibaba-inc.com/pai-dlc/tensorflow-training:2.3-gpu-py36-cu101-ubuntu18.04 bash
#sudo docker run --name zwm_maas_pytorch -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host  -ti reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04 bash
CONTAINER_NAME=modelscope-dev
IMAGE_NAME=registry.cn-shanghai.aliyuncs.com/modelscope/modelscope
IMAGE_VERSION=v0.1.1-16-g62856fa-devel
MOUNT_DIR=/home/wenmeng.zwm/workspace
sudo docker run --name  $CONTAINER_NAME -v $MOUNT_DIR:$MOUNT_DIR --net host  -ti ${IMAGE_NAME}:${IMAGE_VERSION} bash
[to #42966122] requirements enchanment and self-host repo support * add self-hosted repo: * add extra requirements for different field and reduce necessary requirements * update docker file with so required by audio * add requirements checker which will be used later when implement lazy import * remove repeated requirements and replace opencv-python-headless with opencv-python example usage: ```shell pip install model_scope[all] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[cv] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[nlp] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[audio] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html pip install model_scope[multi-modal] -f https://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/release/maas/repo.html ``` Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9211383 2022-07-01 16:38:06 +08:00			`#sudo docker run --name zwm_maas -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host -ti reg.docker.alibaba-inc.com/pai-dlc/tensorflow-training:2.3-gpu-py36-cu101-ubuntu18.04 bash`
			`#sudo docker run --name zwm_maas_pytorch -v /home/wenmeng.zwm/workspace:/home/wenmeng.zwm/workspace --net host -ti reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04 bash`
			`CONTAINER_NAME=modelscope-dev`
			`IMAGE_NAME=registry.cn-shanghai.aliyuncs.com/modelscope/modelscope`
			`IMAGE_VERSION=v0.1.1-16-g62856fa-devel`
			`MOUNT_DIR=/home/wenmeng.zwm/workspace`
			`sudo docker run --name $CONTAINER_NAME -v $MOUNT_DIR:$MOUNT_DIR --net host -ti ${IMAGE_NAME}:${IMAGE_VERSION} bash`