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TF-Coder: Program Synthesis for Tensor Manipulations. (arXiv:2003.09040v4 [cs.PL] UPDATED)
April 11, 2022, 1:11 a.m. | Kensen Shi, David Bieber, Rishabh Singh
cs.LG updates on arXiv.org arxiv.org
The success and popularity of deep learning is on the rise, partially due to
powerful deep learning frameworks such as TensorFlow and PyTorch that make it
easier to develop deep learning models. However, these libraries also come with
steep learning curves, since programming in these frameworks is quite different
from traditional imperative programming with explicit loops and conditionals.
In this work, we present a tool called TF-Coder for programming by example in
TensorFlow. TF-Coder uses a bottom-up weighted enumerative search, …
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