forked from Cutlery/immich
		
	Improve TensorFlow docs (#1138)
* Improve grep * Machine learning is optional * Improved wording * Clarify how to remove
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				| @ -23,15 +23,15 @@ You can also use Podman to run the application. However, additional configuratio | ||||
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 | ||||
| :::info Machine Learning on older CPU | ||||
| 
 | ||||
| TensorFlow doesn't run with older CPU architecture, it requires a CPU with AVX and AVX2 instruction set. If you encounter the error `illegal instruction core dump` check for your CPU flags with the command and make sure you see `AVX` and `AVX2`: | ||||
| The TensorFlow version used by Immich doesn't run on older CPU architectures. It requires a CPU with AVX and AVX2 instruction sets. If you encounter the error `illegal instruction core dump` check your CPU flags with the command below and make sure you see `avx` and `avx2`: | ||||
| 
 | ||||
| ```bash | ||||
| more /proc/cpuinfo | grep flags | ||||
| grep -E 'avx2?' /proc/cpuinfo | ||||
| ``` | ||||
| 
 | ||||
| #### Promox | ||||
| 
 | ||||
| If you are running virtualization in Proxmox, the VM doesn't have the flag enabled. | ||||
| If you are running virtualization in Proxmox, the CPU type of the VM is probably configured incorrectly. | ||||
| 
 | ||||
| You need to change the CPU type from `kvm64` to `host` under VMs hardware tab. | ||||
| 
 | ||||
| @ -42,6 +42,8 @@ You need to change the CPU type from `kvm64` to `host` under VMs hardware tab. | ||||
| You can use the machine learning image that is built for Non-AVX CPU. The image is community maintained and can be found in the repository below | ||||
| 
 | ||||
| https://github.com/bertmelis/immich-machine-learning-no-avx | ||||
| 
 | ||||
| Otherwise, you can safely remove the `immich-machine-learning` service if you do not intend to use Immich's object detection features. Simply remove or comment out the declaration of the service in your compose file. | ||||
| ::: | ||||
| 
 | ||||
| ## Installation methods | ||||
|  | ||||
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