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MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
Deep learning compiler frameworks are gaining ground as a more portable back-end for deep learning applications on increasingly diverse hardware.
Using Structured Input and Modularity for Improved Learning
Our method for utilizing the known structure of input data includes: (1) pre-processing the input data to expose relevant structures, and (2) constructing neural networks by incorporating the structure of the input data as an integral part of the network design.
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