PyTorch Export Quantization with Intel GPUs | Intel Software
74Quantization using PyTorch torch.export graph mode automates operator fusion and insertion of observers, and delivers better quantization results than using eager mode. This is available on Intel GPUs starting with PyTorch 2.7.
Learn how torch.export quantization works, and how to get started, including how to generate the computational graph, prepare the model and quantize it, and then compile the quantized model for Intel GPUs.
Resource Links:
Get started with PyTorch on Intel GPUs: https://pytorch.org/docs/stable/notes/get_start_xpu.html
torch.export quantization example on Intel GPUs: https://docs.pytorch.org/tutorials/prototype/pt2e_quant_xpu_inductor.html
Intel AI software resources: https://developer.intel.com/ai
About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.
Connect with Intel Software:
INTEL SOFTWARE WEBSITE:https://intel.ly/2KeP1hDD
INTEL SOFTWARE on FACEBOOK:http://bit.ly/2z8MPFFF
INTEL SOFTWARE on TWITTER:http://bit.ly/2zahGSnn
INTEL SOFTWARE GITHUB:http://bit.ly/2zaih6zz
INTEL DEVELOPER ZONE LINKEDIN:http://bit.ly/2z979qss
INTEL DEVELOPER ZONE INSTAGRAM:http://bit.ly/2z9Xsbyy
INTEL GAME DEV TWITCH:http://bit.ly/2BkNshuu
#intelsoftware
PyTorch Export Quantization with Intel GPUs | Intel Software