2.1.20+xpu
We are excited to announce the release of Intel® Extension for PyTorch* v2.1.20+xpu. This is a minor release which supports Intel® GPU platforms (Intel® Data Center GPU Flex Series, Intel® Data Center GPU Max Series and Intel® Arc™ A-Series Graphics) based on PyTorch* 2.1.0.
Highlights
- Intel® oneAPI Base Toolkit 2024.1 compatibility
- Intel® oneDNN v3.4 integration
- LLM inference scaling optimization based on Intel® oneCCL 2021.12 (Prototype)
- Bug fixing and other optimization
- Uplift XeTLA to v0.3.4.1 #3696
- [SDP] Fallback unsupported bias size to native impl #3706
- Error handling enhancement #3788, #3841
- Fix beam search accuracy issue in workgroup reduce #3796
- Support int32 index tensor in index operator #3808
- Add deepspeed in LLM dockerfile #3829
- Fix batch norm accuracy issue #3882
- Prebuilt wheel dockerfile update #3887, #3970
- Fix windows build failure with Intel® oneMKL 2024.1 in torch_patches #18
- Fix FFT core dump issue with Intel® oneMKL 2024.1 in torch_patches #20, #21
Known Issues
Please refer to Known Issues webpage.