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- W4384155658 abstract "TVM is a popular deep learning (DL) compiler. It is designed for compiling DL models, which are naturally computation graphs, and as well promoting the efficiency of DL computation. State-of-the-art methods, such as Muffin and NNSmith, allow developers to generate computation graphs for testing DL compilers. However, these techniques are inefficient — their generated computation graphs are either type-invalid or inexpressive, and hence not able to test the core functionalities of a DL compiler." @default.
- W4384155658 created "2023-07-14" @default.
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- W4384155658 date "2023-07-12" @default.
- W4384155658 modified "2023-09-26" @default.
- W4384155658 title "GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing" @default.
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- W4384155658 doi "https://doi.org/10.1145/3597926.3598105" @default.
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