Extended Data Fig. 8: Measured chip inference performance.
From: A compute-in-memory chip based on resistive random-access memory
a, CIFAR-10 training-set accuracy loss due to hardware non-idealities, and accuracy recovery at each step of the chip-in-the-loop progressive fine-tuning. From left to right, each data point represents a new layer programmed onto the chip. The blue solid lines represent the accuracy loss measured when performing inference of that layer on-chip. The red dotted lines represent the measured recovery in accuracy by fine-tuning subsequent layers. b, Ablation study showing the impacts of input, activation, and weight quantizations, and weight noise injection on inference errors.
