Skip to content

Releases: intel/torch-ccl

OneCCL Bindings for Pytorch* v2.3.100+xpu release note

09 Sep 02:51
Compare
Choose a tag to compare

Align to the PyTorch 2.3.1 and IPEX 2.3.110+xpu.

oneCCL Bindings for Pytorch* v2.1.400+xpu release note

09 Aug 03:00
618113e
Compare
Choose a tag to compare

Uplift oneCCL to 2021.13.1 release version in v2.1.400+xpu release.

Intel® oneCCL Bindings for Pytorch* v2.1.300+xpu release note

26 Apr 12:25
1053f13
Compare
Choose a tag to compare

Features include:

  • Extend a prototype feature enabled by TORCH_LLM_ALLREDUCE=1 to provide better scale-up performance by enabling optimized collectives such as allreduce, allgather, reducescatter algorithms in Intel® oneCCL. This feature requires XeLink enabled for cross-cards communication.
  • Enable a set of coalesced primitives in CCL backend, including allreduce_into_tensor_coalesced, allgather_into_tensor_coalesced , reduce_scatter_tensor_coalesced and _broadcast_coalesced.

oneCCL Bindings for Pytorch* v2.1.200+xpu release note

28 Mar 02:54
Compare
Choose a tag to compare

Features include:

  • Uplift oneCCL to 2021.12 release version.
  • LLM inference scaling optimization based on oneCCL (Prototype)
    • Export CCL_SKIP_SCHEDULER=1 to enable the optimization

oneCCL Bindings for Pytorch* v2.2.0+cpu release note

31 Jan 05:07
Compare
Choose a tag to compare
  1. Update oneCCL to 2021.9
  2. Align to the PyTorch 2.2.0

oneCCL Bindings for Pytorch* v2.1.100+xpu release note

13 Dec 07:00
8b48e22
Compare
Choose a tag to compare

Features include:

  • Add experimental allreduce implementation to provide better allreduce performance especially in LLM inference. This experimental feature can be enabled by TORCH_LLM_ALLREDUCE=1 and can speed up single node performance with up to 4 Intel® Data Center GPU Max 1550 cards (requires XeLink enabled for cross-cards communication).

  • Uplift oneCCL to 2021.11.1 release version.

  • Uplift supported PyTorch version to 2.1.0.

oneCCL Bindings for Pytorch* v2.0.100+gpu release note

02 Aug 09:59
376cc1d
Compare
Choose a tag to compare

Features include:

  • Uplift oneCCL to 2021.10 release version
  • Uplift supported PyTorch version to 2.0.1
  • Support point to point send and receive operations on GPU
  • Change path policy from rpath to runpath to be compatible with oneCCL

Bug fixes:

  • Fix barrier hang issue on GPU

oneCCL Bindings for Pytorch* v1.13.200+gpu release note

29 Apr 07:34
cbf16b2
Compare
Choose a tag to compare

Features include:

  • uplift oneCCL to 2021.9 release version
  • uplift supported PyTorch version to 1.13.1
  • support USE_SYSTEM_ONECCL build option. When set to ON, uses can use system available oneCCL, for example, the version installed from oneAPI basekit.

oneCCL Bindings for Pytorch* v1.13.100

10 Jan 02:31
ab75c5b
Compare
Choose a tag to compare

Features of release v1.13.100.:

  • Update oneCCL to 2021.8
  • Support Intel GPU as XPU backend

oneCCL Bindings for Pytorch* v1.13.0

22 Nov 05:10
Compare
Choose a tag to compare

Features of release v1.13.0.:

  • Update oneCCL to 2021.7.1
  • Align oneccl_bindings_for_pytorch to torch-1.13