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English(EN) It's All Just Vectorization: einx, a Universal Notation for Tensor Operations

新的einx记法简化了科学计算中的张量运算

一篇新论文介绍了einx,一种通用的张量运算记法,旨在简化科学计算中的复杂计算。该记法旨在通过使用类似于循环记法的声明式、有重点的表达式来降低现有张量框架API的复杂性。einx在Python中实现,并与NumPy等现有框架集成,旨在提高张量编程的可读性并减少错误。 AI

影响 简化了张量运算,可能加速AI模型训练和推理的开发并减少错误。

排序理由 该集群包含一篇介绍张量运算新记法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的einx记法简化了科学计算中的张量运算

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该集群包含一篇介绍张量运算新记法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens ·

    一切皆向量化:einx,一种通用的张量运算表示法

    arXiv:2607.27987v1 Announce Type: new Abstract: Tensor operations represent a cornerstone of modern scientific computing. However, the Numpy-like notation adopted by predominant tensor frameworks is often difficult to read and write and prone to so-called shape errors, i.a., due …