Assessing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization

Logan Frank, Paul Ardis

Post-training quantization (PTQ) has recently emerged as an effective tool for reducing the computational complexity and memory usage of a neural network by representing its weight…