hardware-aware

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Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

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