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hotwa
2024-06-21 11:51:54 +08:00
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@@ -10,3 +10,52 @@ docker-compose -f docker-compose_pytorch2.3.yml build
```shell
docker run -it --gpus all --name deepspeed_test --shm-size=1gb --rm hotwa/deepspeed:latest /bin/bash
```
## [查询GPU 架构 给变量赋值](https://blog.csdn.net/zong596568821xp/article/details/106411024)
```shell
git clone https://github.com/NVIDIA-AI-IOT/deepstream_tlt_apps.git
cd deepstream_tlt_apps/TRT-OSS/x86
nvcc deviceQuery.cpp -o deviceQuery
./deviceQuery
```
H100 输出
```shell
(base) root@node19:~/bgpt/deepstream_tlt_apps/TRT-OSS/x86# ./deviceQuery
Detected 8 CUDA Capable device(s)
Device 0: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 1: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 2: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 3: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 4: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 5: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 6: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
Device 7: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version 12.4 / 10.1
CUDA Capability Major/Minor version number: 9.0
```