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Merged
vbharadwaj-bk merged 1 commit into from
Sep 27, 2026
Merged

Updated README (sycl) #224

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3 changes: 3 additions & 0 deletions CHANGELOG.md
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## Latest Changes

**Added**:
- Beta support for Intel XPUs.

### v0.7.0 (2026-09-10)
**Added**:
- Public XLA FFI registration provider
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12 changes: 8 additions & 4 deletions README.md
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[[JAX Examples]](#jax-examples)
[[Citation and Acknowledgements]](#citation-and-acknowledgements)

OpenEquivariance is a CUDA and HIP kernel generator for the Clebsch-Gordon tensor product,
OpenEquivariance is a CUDA, HIP, and SYCL (new! beta) kernel generator for the Clebsch-Gordon tensor product,
a key kernel in rotation-equivariant deep neural networks.
It implements some of the tensor products
that [e3nn](https://e3nn.org/) supports
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For detailed instructions on tests, benchmarks, MACE / Nequip, and our API,
check out the [documentation](https://passionlab.github.io/OpenEquivariance).

⭐️ **JAX**: Our latest update brings
support for JAX. For NVIDIA GPUs,
install it (after installing JAX)
⭐️ **SYCL (beta)**: Thanks to @abagusetty,
OpenEquivariance now supports Intel XPUs on PyTorch
by compiling SYCL kernels. See our
installation guide for more details.

⭐️ **JAX**: We support JAX for NVIDIA and AMD GPUs.
For NVIDIA GPUs, install it (after installing JAX)
with the following two commands strictly in order:

``` bash
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