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Hidet is an open-source deep neural network (DNN) inference framework. It enables end-to-end inference for PyTorch and ONNX models with graph-level optimizations and operator-level kernel tuning for high performance. It is designed for extensibility and Python-oriented development, making it easy to add new operators and fusion patterns with all core components written in Python.
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