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OpenDAS
Lmdeploy
Commits
0533537a
Commit
0533537a
authored
Jan 29, 2024
by
zhouxiang
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完善readme
parent
0189f17c
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README.md
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0533537a
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@@ -34,7 +34,12 @@ LMdeploy官方github地址:[https://github.com/InternLM/lmdeploy](https://github
...
@@ -34,7 +34,12 @@ LMdeploy官方github地址:[https://github.com/InternLM/lmdeploy](https://github
1.
基于已有的镜像,可跳过源码编译,直接进行推理。
1.
基于已有的镜像,可跳过源码编译,直接进行推理。
```
```
docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:lmdeploy0.0.13_dtk23.04_torch1.13_py38
docker pull image.sourcefind.cn:5000/dcu/admin/base/custom:lmdeploy-dtk23.10-torch1.13-py38
# <Image ID>用上面拉取docker镜像的ID替换
# <Host Path>主机端路径
# <Container Path>容器映射路径
docker run -it --name baichuan --shm-size=1024G -v /opt/hyhal:/opt/hyhal --device=/dev/kfd --device=/dev/dri/ --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --ulimit memlock=-1:-1 --ipc=host --network host --group-add video -v <Host Path>:<Container Path> <Image ID> /bin/bash
```
```
2.
基于光源pytorch基础镜像环境:镜像下载地址:
[
https://sourcefind.cn/#/image/dcu/pytorch
](
https://sourcefind.cn/#/image/dcu/pytorch
)
,根据pytorch、python、dtk及系统下载对应的镜像版本。(若安装过慢,可以添加源:pip3 install xxx -i https://pypi.tuna.tsinghua.edu.cn/simple/)
2.
基于光源pytorch基础镜像环境:镜像下载地址:
[
https://sourcefind.cn/#/image/dcu/pytorch
](
https://sourcefind.cn/#/image/dcu/pytorch
)
,根据pytorch、python、dtk及系统下载对应的镜像版本。(若安装过慢,可以添加源:pip3 install xxx -i https://pypi.tuna.tsinghua.edu.cn/simple/)
...
@@ -54,6 +59,8 @@ yum install -y centos-release-scl
...
@@ -54,6 +59,8 @@ yum install -y centos-release-scl
yum
install
-y
devtoolset-9
yum
install
-y
devtoolset-9
scl
enable
devtoolset-9 bash
scl
enable
devtoolset-9 bash
# 执行nccl环境变量
export
NCCL_LAUNCH_MODE
=
GROUP
```
```
3.
基于现有python环境:安装pytorch,pytorch whl包下载目录:
[
https://cancon.hpccube.com:65024/4/main/pytorch/dtk23.04
](
https://cancon.hpccube.com:65024/4/main/pytorch/dtk23.04
)
,根据python、dtk版本,下载对应pytorch的whl包。安装命令如下:
3.
基于现有python环境:安装pytorch,pytorch whl包下载目录:
[
https://cancon.hpccube.com:65024/4/main/pytorch/dtk23.04
](
https://cancon.hpccube.com:65024/4/main/pytorch/dtk23.04
)
,根据python、dtk版本,下载对应pytorch的whl包。安装命令如下:
...
@@ -73,6 +80,9 @@ source {DTK_PATH}/cuda/env.sh
...
@@ -73,6 +80,9 @@ source {DTK_PATH}/cuda/env.sh
yum
install
-y
centos-release-scl
yum
install
-y
centos-release-scl
yum
install
-y
devtoolset-9
yum
install
-y
devtoolset-9
scl
enable
devtoolset-9 bash
scl
enable
devtoolset-9 bash
# 执行nccl环境变量
export
NCCL_LAUNCH_MODE
=
GROUP
```
```
注:需要GCC版本>=9.0
注:需要GCC版本>=9.0
...
...
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