EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

[Doc] Remove extra MLAPO installation step for DeepSeek-V3.2. (#4024)

Browse Source 
### What this PR does / why we need it?
Remove extra MLAPO installation step for DeepSeek-V3.2.

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: menogrey <1299267905@qq.com>
This commit is contained in:
zhangyiming
2025-11-10 09:09:59 +08:00
committed by GitHub
parent c116524379
commit a74e76b02d
1 changed files with 4 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files

40
docs/source/tutorials/DeepSeek-V3.2-Exp.md
View File

@@ -32,13 +32,13 @@ If you want to deploy multi-node environment, you need to verify multi-node comm
:::::{tab-set}
::::{tab-item} Use deepseek-v3.2 docker image
Currently, we provide the all-in-one images `quay.io/ascend/vllm-ascend:v0.11.0rc0-deepseek-v3.2-exp`(for Atlas 800 A2) and `quay.io/ascend/vllm-ascend:v0.11.0rc0-a3-deepseek-v3.2-exp`(for Atlas 800 A3).
In `vllm-ascend:v0.11.0rc0` release, we provide the all-in-one images `quay.io/ascend/vllm-ascend:v0.11.0rc0-deepseek-v3.2-exp`(for Atlas 800 A2) and `quay.io/ascend/vllm-ascend:v0.11.0rc0-a3-deepseek-v3.2-exp`(for Atlas 800 A3).
Refer to [using docker](../installation.md#set-up-using-docker) to set up environment using Docker, remember to replace the image with deepseek-v3.2 docker image.
:::{note}
The image is based on a specific version and will not continue to release new version.
Only AArch64 architecture are supported currently due to extra operator's installation limitations.
- The image is based on a specific version `vllm-ascend:v0.11.0rc0` and will not continue to release new version. Move to another tab `Use vllm-ascend docker image` for latest support of deepseek-v3.2 on vllm-ascend.
- Only AArch64 architecture are supported currently due to extra operator's installation limitations.
:::
::::
@@ -66,23 +66,7 @@ wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/custom_
pip install custom_ops-1.0-cp311-cp311-linux_aarch64.whl
```
3. Download and install `MLAPO`.
```shell
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/CANN-custom_ops-mlapo-linux.aarch64.run
# please set a custom install-path, here take `/`vllm-workspace/CANN` as example.
chmod +x ./CANN-custom_ops-mlapo-linux.aarch64.run
./CANN-custom_ops-mlapo-linux.aarch64.run --quiet --install-path=/vllm-workspace/CANN
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/torch_npu-2.7.1%2Bgitb7c90d0-cp311-cp311-linux_aarch64.whl
pip install torch_npu-2.7.1+gitb7c90d0-cp311-cp311-linux_aarch64.whl
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/libopsproto_rt2.0.so
cp libopsproto_rt2.0.so /usr/local/Ascend/ascend-toolkit/8.2.RC1/opp/built-in/op_proto/lib/linux/aarch64/libopsproto_rt2.0.so
# Don't forget to replace `/vllm-workspace/CANN/` to the custom path you set before.
source /vllm-workspace/CANN/vendors/customize/bin/set_env.bash
export LD_PRELOAD=/vllm-workspace/CANN/vendors/customize/op_proto/lib/linux/aarch64/libcust_opsproto_rt2.0.so:${LD_PRELOAD}
```
For `A2` image, you should change all `wget` commands as above, and replace `A3` with `A2` release file.
For `A2` image:
1. Start the docker image on your node, refer to [using docker](../installation.md#set-up-using-docker).
@@ -98,22 +82,6 @@ wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a2/custom_
pip install custom_ops-1.0-cp311-cp311-linux_aarch64.whl
```
3. Download and install `MLAPO`.
```shell
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a2/CANN-custom_ops-mlapo-linux.aarch64.run
# please set a custom install-path, here take `/`vllm-workspace/CANN` as example.
chmod +x ./CANN-custom_ops-mlapo-linux.aarch64.run
./CANN-custom_ops-mlapo-linux.aarch64.run --quiet --install-path=/vllm-workspace/CANN
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a2/torch_npu-2.7.1%2Bgitb7c90d0-cp311-cp311-linux_aarch64.whl
pip install torch_npu-2.7.1+gitb7c90d0-cp311-cp311-linux_aarch64.whl
wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a2/libopsproto_rt2.0.so
cp libopsproto_rt2.0.so /usr/local/Ascend/ascend-toolkit/8.2.RC1/opp/built-in/op_proto/lib/linux/aarch64/libopsproto_rt2.0.so
# Don't forget to replace `/vllm-workspace/CANN/` to the custom path you set before.
source /vllm-workspace/CANN/vendors/customize/bin/set_env.bash
export LD_PRELOAD=/vllm-workspace/CANN/vendors/customize/op_proto/lib/linux/aarch64/libcust_opsproto_rt2.0.so:${LD_PRELOAD}
```
::::
::::{tab-item} Build from source