#Int8

A calibrated TensorRT INT8 build of RF-DETR put 0 layers in INT8 on an RTX 5090. Measured INT8, FP16, CPU quantization and distillation side by side.

A calibrated TensorRT INT8 build of RF-DETR put 0 layers in INT8 on an RTX 5090. Measured INT8, FP16, CPU quantization and distillation side by side.

TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on...

From Dev.to - opensource: TSU Protocol: An Open-Source RISC-V NPU Standard for Edge AI Inference

From Dev.to - opensource: TSU Protocol: An Open-Source RISC-V NPU Standard for Edge AI Inference

Post 3 ended with three numbers: 97.4% test accuracy, 100% precision, 0 false positives. All of it...