The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Abstract: Inductor is a new compilation backend introduced by PyTorch in 2022, consisting primarily of modules for graph analysis, operator fusion, scheduling optimization, and low-level code ...

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...

We evaluate two representative tensor compiler backends, CINN (PaddlePaddle) and TorchInductor (PyTorch), on GraphNet's NLP and CV subsets. The evaluation adopts two quantitative metrics proposed in ...

Abstract: Many real-world data can be represented using graph structures, such as interactions among individuals in social networks, the structural composition of biological proteins, and the ...

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