From b32df6ac151d4fac55f5df22c9120c28d14ebc2b Mon Sep 17 00:00:00 2001
From: erew123 <35898566+erew123@users.noreply.github.com>
Date: Sat, 30 Dec 2023 14:45:42 +0000
Subject: [PATCH] Additional note in finetune re multiple GPU support

---
 finetune.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/finetune.py b/finetune.py
index c94a725..75aba76 100644
--- a/finetune.py
+++ b/finetune.py
@@ -879,6 +879,7 @@ if __name__ == "__main__":
                 #### &nbsp;&nbsp;&nbsp;&nbsp; - Have you run AllTalk at least once? It needs to have downloaded+updated the voice model, before we can finetune it.
                 ### 🟦 <u>What you need to run finetuning</u>
                 #### &nbsp;&nbsp;&nbsp;&nbsp; - An Nvidia GPU. Tested on Windows with extended shared VRAM and training used about 16GB's total (which worked on a 12GB card).
+                #### &nbsp;&nbsp;&nbsp;&nbsp; - If you have multiple Nvidia GPU's in your system, please see this [important note](https://github.com/erew123/alltalk_tts#-i-have-multiple-gpus-and-i-have-problems-running-finetuning).
                 #### &nbsp;&nbsp;&nbsp;&nbsp; - I have not been able to test this on a GPU with less than 12GB of VRAM, so cannot say if it will work or how that would affect performance.
                 #### &nbsp;&nbsp;&nbsp;&nbsp; - <span style="color: red;">Version 11.8</span> of Nvidia cuBLAS and cuDNN (guide below). Only 11.8 of cuBLAS and cuDNN work for this process currently.
                 #### &nbsp;&nbsp;&nbsp;&nbsp; - Minimum <span style="color: red;">18GB</span> free disk space (most of it is used temporarily).