Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference

Shen Haichen
Shen Haichen
Chen Zhi
Chen Zhi
Chen Wei
Chen Wei
Wu Yong
Wu Yong
Sharma Vin
Sharma Vin
Wang Yida
Wang Yida
Cited by: 4|Views19

Abstract:

Modern deep neural networks increasingly make use of features such as dynamic control flow, data structures and dynamic tensor shapes. Existing deep learning systems focus on optimizing and executing static neural networks which assume a pre-determined model architecture and input data shapes--assumptions which are violated by dynamic n...More

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