Update dtk24.04.1

README.md

@@ -19,19 +19,11 @@ mv minicpm_classify_pytorch MiniCPM_classify # 去框架名后缀
 
 ### Docker（方法一）
 ```
-docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-centos7.6-dtk23.10-py38
-# <your IMAGE ID>为以上拉取的docker的镜像ID替换，本镜像为：ffa1f63239fc
+docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:2.1.0-ubuntu20.04-dtk24.04.1-py3.10
+# <your IMAGE ID>为以上拉取的docker的镜像ID替换
 docker run -it --shm-size=32G -v $PWD/MiniCPM_classify:/home/MiniCPM_classify -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video --name minicpm_classify <your IMAGE ID> bash
 cd /home/MiniCPM_classify
 pip install -r finetune/requirements.txt # finetune/requirements.txt
-# deepspeed、flash_attn2、xformers可从whl.zip文件里获取安装：
-pip install deepspeed-0.12.3+git299681e.abi0.dtk2310.torch2.1.0a0-cp38-cp38-linux_x86_64.whl
-pip install flash_attn-2.0.4_torch2.1_dtk2310-cp38-cp38-linux_x86_64.whl
-# xformers
-tar -xvf xformers-0.0.23.tar
-cd xformers-0.0.23
-pip install xformers==0.0.23 --no-deps
-bash patch_xformers.rocm.sh
 ```
 ### Dockerfile（方法二）
 ```
@@ -39,21 +31,13 @@ cd MiniCPM_classify/docker
 docker build --no-cache -t minicpm_classify:latest .
 docker run --shm-size=32G --name minicpm_classify -v /opt/hyhal:/opt/hyhal --privileged=true --device=/dev/kfd --device=/dev/dri/ --group-add video -v $PWD/../../MiniCPM_classify:/home/MiniCPM_classify -it minicpm_classify bash
 # 若遇到Dockerfile启动的方式安装环境需要长时间等待，可注释掉里面的pip安装，启动容器后再安装python库：pip install -r requirements.txt。
-# deepspeed、flash_attn2、xformers可从whl.zip文件里获取安装：
-pip install deepspeed-0.12.3+git299681e.abi0.dtk2310.torch2.1.0a0-cp38-cp38-linux_x86_64.whl
-pip install flash_attn-2.0.4_torch2.1_dtk2310-cp38-cp38-linux_x86_64.whl
-# xformers
-tar -xvf xformers-0.0.23.tar
-cd xformers-0.0.23
-pip install xformers==0.0.23 --no-deps
-bash patch_xformers.rocm.sh
 ```
 ### Anaconda（方法三）
 1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装：
 - https://developer.hpccube.com/tool/
 ```
-DTK驱动:dtk23.10
-python:python3.8
+DTK驱动:dtk24.04.1
+python:python3.10
 torch:2.1.0
 torchvision:0.16.0
 triton:2.1.0
@@ -62,18 +46,6 @@ deepspeed:0.12.3
 flash_attn:2.0.4
 xformers:0.0.23
 ```
-
-```
-# deepspeed、flash_attn2、xformers可从whl.zip文件里获取安装：
-pip install deepspeed-0.12.3+git299681e.abi0.dtk2310.torch2.1.0a0-cp38-cp38-linux_x86_64.whl
-pip install flash_attn-2.0.4_torch2.1_dtk2310-cp38-cp38-linux_x86_64.whl
-# xformers
-tar -xvf xformers-0.0.23.tar
-cd xformers-0.0.23
-pip install xformers==0.0.23 --no-deps
-bash patch_xformers.rocm.sh
-```
-
 `Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一一对应。`
 
 2、其它非特殊库参照requirements.txt安装