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 ...
Hacker

Accelerating Neural Networks: The Power of Quantization

I'm diving deep into the intersection of infrastructure and machine learning. I'm fascinated by exploring scalable architectures, MLOps, and the latest advancements in AI-driven systems Quantization ...
IEEE

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Abstract: Recent advancements in diffusion models, particularly the architectural transformation from UNet-based models to Diffusion Transformers (DiTs), significantly improve the quality and ...
IEEE

Quantization-Aware Training for Multi-Agent Reinforcement Learning

Abstract: Deep Learning (DL) increasingly become the preferable solution in a wide range of applications, such as robotics, requiring, however, high inference speed with minimum possible power ...