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English(EN) Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures

Sutra语言将程序编译为PyTorch神经网络

研究人员开发了Sutra,一种可编译为PyTorch神经网络的函数式编程语言。该系统通过将程序归约到融合张量运算图来针对向量符号架构。Sutra在解码束(bundles)方面表现出高精度,并允许直接通过编译后的图进行可微分训练,从而使代码既是逻辑程序又是可训练神经网络。 AI

影响 引入了一种新颖的编程范式,将逻辑编程与神经网络训练统一起来。

排序理由 该集群包含一篇学术论文,详细介绍了一种新的编程语言及其针对向量符号架构的编译目标。

在 arXiv cs.AI 阅读 →

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Sutra语言将程序编译为PyTorch神经网络

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该集群包含一篇学术论文,详细介绍了一种新的编程语言及其针对向量符号架构的编译目标。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Emma Leonhart ·

    Sutra:张量运算循环神经网络作为向量符号架构的编译目标

    arXiv:2605.20919v1 Announce Type: cross Abstract: Sutra is a typed, purely functional programming language whose compiled forward pass is a PyTorch neural network. The compiler beta-reduces the whole program -- primitives, control flow, string I/O -- to one fused tensor-op graph …

  2. arXiv cs.AI TIER_1 English(EN) · Emma Leonhart ·

    Sutra:张量运算循环神经网络作为向量符号架构的编译目标

    Sutra is a typed, purely functional programming language whose compiled forward pass is a PyTorch neural network. The compiler beta-reduces the whole program -- primitives, control flow, string I/O -- to one fused tensor-op graph over a frozen embedding substrate. Rotation bindin…