Closed MaksimDanilov closed 1 month ago
Hello, thanks for raising this issue. We will look into this issue and get back to you soon.
I can upload dll if it helps you.
I can upload dll if it helps you.
Sure, that would be great. Also, could you please share your CPU information?
Hello, the long compiling time can be caused by either the limitation of the iGPU, or the AOT setting. We will look into this issue and get back to you once we have updates. Thanks for your patience!
Hello, currently only Intel® Data Center GPU Flex series, Max series and Intel® Arc™ A770 Graphics are supported with AOT setting options. You can find more details here https://intel.github.io/intel-extension-for-pytorch/xpu/2.1.30%2Bxpu/tutorials/technical_details/AOT.html. Hope this can be helpful to your case.
@YuningQiu, Hello. I read it and my hope was that it's not a strict option, cause article in the end has link to compile for another device type. It seems this thread must be closed now :-(
Thanks for your response. Please feel free to create new ticket if you encountered other issues.
Describe the issue
I tried to resolve this problem Native API failed. Native API returns: -2 (PI_ERROR_DEVICE_NOT_AVAILABLE) -2 (PI_ERROR_DEVICE_NOT_AVAILABLE) by compiling an extension with AOT=dg1 'cause my display driver is Intel Iris Xe Graphics.
I used compile_bundle.bat script as recommended on installation page. Everything builded fine except large compiling time (around 14-15 hours) and some warnings before starting making fat binary (see 2d screenshot).
However, when I tried to run for loop with my model, first pass was taking too long. How can I find if I compiled the extension correctly or maybe I did it in wrong way?