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Bring Your Own Codegen to Deep Learning Compiler
Deep neural networks (DNNs) have been ubiquitously applied in many appli...
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Dynamic Tensor Rematerialization
Checkpointing enables training deep learning models under restricted mem...
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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference
Modern deep neural networks increasingly make use of features such as dy...
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Relay: A High-Level Compiler for Deep Learning
Frameworks for writing, compiling, and optimizing deep learning (DL) mod...
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Relay: A High-Level IR for Deep Learning
Frameworks for writing, compiling, and optimizing deep learning (DL) mod...
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Tea: A High-level Language and Runtime System for Automating Statistical Analysis
Though statistical analyses are centered on research questions and hypot...
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