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

Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".

The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding"

imbalanced-DL: Deep Imbalanced Learning in Python

With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function

Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition

A library for answering questions using data you cannot see

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

Certis - Certis, A High-Quality Backtesting Engine

基于PaddleOCR搭建的OCR server... 离线部署用

Laser device for neutralizing - mosquitoes, weeds and pests

Python Actor concurrency library

Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).

Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

code for Fast Point Cloud Registration with Optimal Transport

we propose EfficientDerain for high-efficiency single-image deraining

Efficient and intelligent interactive segmentation annotation software

OCR Post Correction for Endangered Language Texts

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.