QPyTorch: A Low-Precision Arithmetic Simulation Framework

9 Oct 2019Tianyi ZhangZhiqiu LinGuandao YangChristopher De Sa

Low-precision training reduces computational cost and produces efficient models. Recent research in developing new low-precision training algorithms often relies on simulation to empirically evaluate the statistical effects of quantization while avoiding the substantial overhead of building specific hardware... (read more)

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