SHA256-WebGPU
stablehlo
| SHA256-WebGPU | stablehlo | |
|---|---|---|
| 5 | 5 | |
| 11 | 337 | |
| - | 4.2% | |
| 0.0 | 9.8 | |
| 4 months ago | 1 day ago | |
| JavaScript | MLIR | |
| - | Apache License 2.0 |
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SHA256-WebGPU
stablehlo
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Nvidia H200 Tensor Core GPU
I am going to paste a cousin comment:
StableHLO[1] is an interesting project that might help AMD here:
> Our goal is to simplify and accelerate ML development by creating more interoperability between various ML frameworks (such as TensorFlow, JAX and PyTorch) and ML compilers (such as XLA and IREE).
From there, their goal would most likely be to work with XLA/OpenXLA teams on XLA[3] and IREE[2] to make RoCM a better backend.
[1] https://github.com/openxla/stablehlo
[2] https://github.com/openxla/iree
[3] https://www.tensorflow.org/xla
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Chrome Ships WebGPU
Also see the recently introduced StableHLO and its serialization format: https://github.com/openxla/stablehlo/blob/main/docs/bytecode...
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OpenXLA Is Available Now
If you mean StableHLO, then it has an MLIR dialect: https://github.com/openxla/stablehlo/blob/main/stablehlo/dia....
In the StableHLO spec, we are talking about this in more abstract terms - "StableHLO opset" - to be able to unambiguously reason about the semantics of StableHLO programs. However, in practice the StableHLO dialect is the primary implementation of the opset at the moment.
I wrote "primary implementation" because e.g. there is also ongoing work on adding StableHLO support to the TFLite flatbuffer schema: https://github.com/tensorflow/tensorflow/blob/master/tensorf.... Having an abstract notion of the StableHLO opset enables us to have a source of truth that all the implementations correspond to.
What are some alternatives?
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
wgpu-mm
aioquic - QUIC and HTTP/3 implementation in Python
iree - A retargetable MLIR-based machine learning compiler and runtime toolkit.
wgpu-py - Next generation GPU API for Python
SHARK - SHARK - High Performance Machine Learning Distribution
pygfx - A python render engine running on wgpu.
glare-core - C++ code used in various Glare Tech Ltd products
wgpu_glyph - A fast text renderer for wgpu (https://github.com/gfx-rs/wgpu)
mach - zig game engine & graphics toolkit