Currently IPEX doesn't support iGPUs.

· intel/intel-extension-for-pytorch

This is the Intel's guide: Installation Guide (Linux/WSL2) intel_extension_for_pytorch 2.0.110+xpu documentation This is another guide: xpu-master build for IGPU error · Issue #390 · intel/intel-extension-for-pytorch Describe the bug When building for IGPU, On xpu-master (320f4da), the script errors out late in the build. I started from a fresh checkout and am in a conda environment with python 3.10. My command... github.com

@ディスティ した。 すべて しましたが、Intel iris xe グラフィックスで GPU を してトレーニングする はありますか? CPU でのみトレーニングできます。 には directml を して GPU を できますが、トレーニングには できません。 Understood. I have tried everything, but is there any way to train using GPU with intel iris xe graphics? I can only train on cpu I can use GPU using directml for voice conversion but not for training. @Disty Understood. I have tried everything, but is there any way to train using GPU with intel iris xe graphics? I can only train on cpu I can use GPU using directml for voice conversion but not for training. @Disty If you do it this way, the GPU itself seems to recognize it, but no actual conversion or training can be done! INFO | configs. Config | Found GPU Intel Graphics . 2023-10-02 23:05:48 | INFO | configs. Config | Use xpu: 0 instead 2023-10-02 23:05:48 | INFO | main | Use Language: En_US

@douari you can try compiling IPEX from the soruce for your iGPU: xpu-master build for IGPU error · Issue #390 · intel/intel-extension-for-pytorch

@Disty I think I'll give up on training on GPU. By the way, I downloaded the version introduced on this site, and although I was able to start the webui, I was unable to convert the audio. Is it okay to just download this? @Disty Release updated1006v2 · RVC-Project/Retrieval-based-Voice-Conversion-WebUI

· intel/intel-extension-for-pytorch Describe the bug When building for IGPU, On xpu-master (320f4da), the script errors out late in the build. I started from a fresh checkout and am in a conda environment with python 3.10. My command... github.com

@douari you can try compiling IPEX from the soruce for your iGPU: xpu-master build for IGPU error · Issue

Very helpful. I am sorry but ı would like to train in RVC with Intel Iris Xe Graphics. Please help me. に ちます。 し ありませんが、Intel iris xe グラフィックスを した RVC でトレーニングしたいと えています。 を けてください。

This is the Intel's guide: Installation Guide (Linux/WSL2) intel_extension_for_pytorch 2.0.110+xpu documentation This is another guide: xpu-master build for IGPU error · Issue

@Disty @Disty I tried this (Installation Guide (Linux/WSL2) intel_extension_for_pytorch 2.0.110+xpu documentation), but I was able to build up to step 6, but an error occurred if the necessary requirements were not installed. I tried to install what I needed, but I couldn't do anything because I had no idea what to install or what command to run using only the links in steps 1 and 3. Help me. I've been experimenting with this for about 2 weeks and haven't gotten any results.

@Disty Thank you for all your support. May I ask one last question? I downloaded the intel version of this (Release updated1006v2 · RVC-Project/Retrieval-based-Voice-Conversion-WebUI) and ran the batch file but the RVC webui never opened. Is there anything else I need to download for this one? Even if I can't train using the GPU, I would like to at least use the GPU for audio conversion. Last time I tried this (GitHub - RVC-Project/Retrieval-based-Voice-Conversion-WebUI: Voice data <= 10 mins can also be used to train a good VC model!) and was able to convert audio using the GPU using directml with the readme as a reference, but the updated version However, I could not do it with the updated version.

iGPUs are not officially supported on IPEX and i don't have any iGPU to test with. Can't really help with iGPUs :/

@Disty I made a mistake in the link. I tried various things according to this procedure, but I couldn't figure out what to do with only the links in steps 1 and 3. @Disty Yup, thanks, adding to render was it. I had added myself to video instead for some reason. Closing this as the problems were just a result of misconfiguration, but here's a summary for future readers of what I did. Install client IGPU packages Add user to the render group. In my case this group already existed so sudo usermod -aG render $USER & reboot. Install oneapi base toolkit Create a fresh python environment and activate it. Optionally source /opt/intel/oneapi/setvars. sh and run the collect_env. py script check installation Clone intel-extension-for-pytorch, checkout xpu-master, and build with bash scripts/compile_bundle. sh /opt/intel/oneapi/compiler/2023.2.0/ /opt/intel/oneapi/mkl/2023.2.0/ Gen12LP, replacing Gen12LP for the desired IGPU configuration And then remember to source /oipt/intel/oneapi/setvars. sh before using torch.

We apologize. I am not very knowledgeable about this. I would appreciate it if you could write down the procedure for me. @Disty We apologize. I am not very knowledgeable about this. I would appreciate it if you could write down the procedure for me.