GitHub

Quantization Examples in PyTorch

Note: all results are measured with the torch JIT model on a single CPU core. Environment: Win10 22H2, Intel Core i5-10210U @ 1.60GHz 2.11GHz, 16GB RAM. Please refer to the provided script ...
GitHub

custom_quantization_int8_example.py

self.register_buffer("weight", torch.zeros((out_features, in_features), dtype=torch.int8)) self.register_buffer("weight_scale", torch.zeros((out_features, 1), dtype ...
IEEE

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With ...

Abstract: TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant ...
IEEE

Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning

Abstract: Mixed-precision quantization mostly predetermines the model bit-width settings before actual training due to the non-differential bit-width sampling process, obtaining suboptimal performance ...