quantized-network

download .pth files to qmodels/:

googlenet : https://download.pytorch.org/models/quantized/googlenet_fbgemm-c00238cf.pth

inception_v3 : https://download.pytorch.org/models/quantized/inception_v3_google_fbgemm-71447a44.pth

mobilenet_v2 : https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth

mobilenet_v3_large : https://download.pytorch.org/models/quantized/mobilenet_v3_large_qnnpack-5bcacf28.pth

resnet18 : https://download.pytorch.org/models/quantized/resnet18_fbgemm_16fa66dd.pth

resnet50 : https://download.pytorch.org/models/quantized/resnet50_fbgemm_bf931d71.pth

resnext101 : https://download.pytorch.org/models/quantized/resnext101_32x8_fbgemm_09835ccf.pth

shufflenetv2_x1.0 : https://download.pytorch.org/models/quantized/shufflenetv2_x1_fbgemm-db332c57.pth

ghostnet : https://1drv.ms/u/s!Ahqo_6nBJPIHhloNb-Rg2uXs38MU?e=Smakww

To do some operations before convolution layer in these networks：

Ghostnet can do some operations on the feature maps of the inter-layer by manipulating the Class ConvX in the operations.py
And other works shoud modifies the Class Comp in operations.py

Run instructions

python validate.py --data --model --actbit <8 or 16 for ghostnet>

# python validate.py --model mobilenet_v3_large --data ./imagenet

# python validate.py --model resnet_18 --data ./imagenet

# python validate.py --model resnet_50 --data ./imagenet

# python validate.py --model resnext_101 --data ./imagenet

# python validate.py --model googlenet --data ./imagenet

# python validate.py --model shufflenet_v2 --data ./imagenet

# python validate.py --model inception_v3 --data ./imagenet

# python validate.py --model mobilenet_v2 --data ./imagenet

# python validate.py --model ghostnet --data ./imagenet --actbit 8

Quantized models with python

Related tags

Overview

quantized-network

To do some operations before convolution layer in these networks：

Run instructions

Owner

adreamxcj

Implementation for paper "STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement" (ICCV 2021).

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

My solution for the 7th place / 245 in the Umoja Hack 2022 challenge

Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting

A simple Rock-Paper-Scissors game using CV in python

A mini-course offered to Undergrad chemistry students

This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".

Breast Cancer Detection 🔬 ITI "AI_Pro" Graduation Project

Super-Fast-Adversarial-Training - A PyTorch Implementation code for developing super fast adversarial training

Fast Neural Style for Image Style Transform by Pytorch

Reimplement of SimSwap training code

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

Deployment of PyTorch chatbot with Flask

A two-stage U-Net for high-fidelity denoising of historical recordings

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

Official and maintained implementation of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data" [BMVC 2021].

MADT: Offline Pre-trained Multi-Agent Decision Transformer

PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"