Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ShapeFlow: Dynamic Shape Interpreter for TensorFlow   We present ShapeFlow, a dynamic abstract interpreter for TensorFlow which
quickly catches tensor shape incompatibility errors, one of the most common
bugs in deep learning code. ShapeFlow shares the same APIs as TensorFlow but
only captures and emits tensor shapes, its abstract domain. ShapeFlow
constructs a custom shape computational graph, similar to the computational
graph used by TensorFlow. ShapeFlow requires no code annotation or code
modification by the programmer, and therefore is convenient to use. We evaluate
ShapeFlow on 52 programs collected by prior empirical studies to show how fast
and accurately it can catch shape incompatibility errors compared to
TensorFlow. We use two baselines: a worst-case training dataset size and a more
realistic dataset size. ShapeFlow detects shape incompatibility errors highly
accurately -- with no false positives and a single false negative -- and highly
efficiently -- with an average speed-up of 499X and 24X for the first and
second baseline, respectively. We believe ShapeFlow is a practical tool that
benefits machine learning developers. We will open-source ShapeFlow on GitHub
to make it publicly available to both the developer and research communities.

27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
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The categories of this paper are: quant-ph
16
The categories of this paper are: stat