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Stablehlo Alternatives
Similar projects and alternatives to stablehlo
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SaaSHub
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burn
Discontinued Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)
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wonnx
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
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web-stable-diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better stablehlo alternative or higher similarity.
stablehlo discussion
stablehlo reviews and mentions
Posts with mentions or reviews of stablehlo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-13.
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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.
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A note from our sponsor - SaaSHub
www.saashub.com | 3 Dec 2024
Stats
Basic stablehlo repo stats
5
415
9.7
6 days ago
openxla/stablehlo is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of stablehlo is MLIR.
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