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Add documention on how to use

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RichardPar 2023-04-02 07:25:13 +01:00
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docs/docs/configuration/hardware_acceleration.md
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@ -63,6 +63,20 @@ A more complete list of cards and ther compatible drivers is available in the [d
If your distribution does not offer NVIDIA driver packages, you can [download them here](https://www.nvidia.com/en-us/drivers/unix/). If your distribution does not offer NVIDIA driver packages, you can [download them here](https://www.nvidia.com/en-us/drivers/unix/).
### KHADAS VIM3 SBC
This SBC is equipped with the Verisilicon TPU. Khadas Website (https://www.khadas.com/vim3)
config.yml
```
vim3:
type: vim3
```
NOTE! - most distributions do not include a working galcore.ko kernel driver that matches the NPU module. [Download galcore.ko](https://drive.google.com/file/d/1pxCDMp686kCuYvdABJsWFBVvXnMBXk0z/view?usp=sharing) and place in the /lib/modules/4.9.241/kernel/drivers/amlogic/ directory [Download link TBC]
Debian11 build link
This needs to run in Docker --priviledged mode
#### Docker Configuration #### Docker Configuration
Additional configuration is needed for the Docker container to be able to access the NVIDIA GPU. The supported method for this is to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) and specify the GPU to Docker. How you do this depends on how Docker is being run: Additional configuration is needed for the Docker container to be able to access the NVIDIA GPU. The supported method for this is to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) and specify the GPU to Docker. How you do this depends on how Docker is being run: