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Abstract: Tensors offer a natural representation for many kinds of data frequently encountered in machine learning. Images, for example, are naturally represented as third order tensors, where the ...

Abstract: In this work, we present a multilinear algebra operator referred to as generalized tensor contraction. This operator defines an inner product between two higher-order tensors over a set of ...

「Tensor（テンソル）」は、ディープラーニング（深層学習）をはじめとするAI分野や、物理学、数学で使われる用語で、「多次元配列」を意味します。 簡単に言えば、データを入れておくための入れ物のようなもので、その次元数によって「スカラー ...

Block-sparse tensor contraction benchmarks. The main CLI parses .bs inputs, prepares metadata, and runs block-sparse CPU backends (tblis). A companion generator produces compatible block-sparse inputs ...

Thanks for this nice library! I'm currently testing the library, and I found the following: For real tensors, tblis is substantially faster than a contraction using dgemm for the cases I tested. For ...

前回はNumPyを使ってテンソルに触れてみました。今回はPyTorchのTensorを取り扱います。 すでに学んだNumPyのテンソルの知識は、どのように役立つでしょうか。 画像データなどはNumPy形式のデータとして扱われることが多くPyTorchのTensorもNumPyのデータを ...