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StableHLO is an operation set for high-level operations in machine learning models, serving as a portability layer between ML frameworks and ML compilers. It aims to simplify and accelerate ML development by creating interoperability between frameworks like TensorFlow, JAX, and PyTorch and compilers such as XLA and IREE.
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