EfficientNetV2 implementation using PyTorch

Related tags

Deep Learningtrainingimagenetpytrochefficientnetv2
Overview

EfficientNetV2-S implementation using PyTorch

Train Steps

  • Configure imagenet path by changing data_dir in train.py
  • python main.py --benchmark for model information
  • python -m torch.distributed.launch --nproc_per_node=$ main.py --train for training model, $ is number of GPUs
  • python main.py --test for testing

Note

  • The model achieved 82.7 top-1 after 150 epochs
Number of parameters: 23941296
Time per operator type:
        778.049 ms.    70.6258%. Conv
        255.227 ms.    23.1677%. Sigmoid
          56.91 ms.    5.16589%. Mul
         6.1573 ms.   0.558916%. Add
        4.69289 ms.   0.425987%. ReduceMean
       0.613303 ms.  0.0556713%. FC
        1101.65 ms in Total
FLOP per operator type:
         17.277 GFLOP.    99.7074%. Conv
      0.0419251 GFLOP.   0.241954%. Mul
     0.00519322 GFLOP.  0.0299706%. Add
       0.003585 GFLOP.  0.0206894%. FC
        17.3277 GFLOP in Total
Feature Memory Read per operator type:
        295.875 MB.    50.5134%. Mul
        241.136 MB.     41.168%. Conv
        41.5457 MB.     7.0929%. Add
        7.17917 MB.    1.22567%. FC
        585.737 MB in Total
Feature Memory Written per operator type:
          167.7 MB.    49.2361%. Mul
        152.127 MB.    44.6639%. Conv
        20.7729 MB.    6.09882%. Add
          0.004 MB. 0.00117438%. FC
        340.605 MB in Total
Parameter Memory per operator type:
        87.8034 MB.    92.4486%. Conv
          7.172 MB.    7.55143%. FC
              0 MB.          0%. Add
              0 MB.          0%. Mul
        94.9754 MB in Total
Owner
Jahongir Yunusov
Jahongir Yunusov
GitHub Repository
Relative Uncertainty Learning for Facial Expression Recognition

Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc

35 Dec 28, 2022
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

An-Introduction-to-Statistical-Learning This repository contains the exercises and its solution contained in the book An Introduction to Statistical L

2.1k Jan 02, 2023
Dual Attention Network for Scene Segmentation (CVPR2019)

Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction W

Jun Fu 2.2k Dec 28, 2022
Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021).

AA-RMVSNet Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021) in PyTorch. paper link: arXiv | CVF Change Log Ju

Qingtian Zhu 97 Dec 30, 2022
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Method Overview Cite

DavidHuang 126 Dec 30, 2022
A mini-course offered to Undergrad chemistry students

The best way to use this material is by forking it by click the Fork button at the top, right corner. Then you will get your own copy to play with! Th

Raghu 19 Dec 19, 2022
Code release for Local Light Field Fusion at SIGGRAPH 2019

Local Light Field Fusion Project | Video | Paper Tensorflow implementation for novel view synthesis from sparse input images. Local Light Field Fusion

1.1k Dec 27, 2022
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

MERIT A PyTorch implementation of our IJCAI-21 paper Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. Depen

Graph Analysis & Deep Learning Laboratory, GRAND 32 Jan 02, 2023
*ObjDetApp* deploys a pytorch model for object detection

*ObjDetApp* deploys a pytorch model for object detection

Will Chao 1 Dec 26, 2021
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

ZEROGEN This repository contains the code for our paper “ZeroGen: Efficient Zero

Jiacheng Ye 31 Dec 30, 2022
A LiDAR point cloud cluster for panoptic segmentation

Divide-and-Merge-LiDAR-Panoptic-Cluster A demo video of our method with semantic prior: More information will be coming soon! As a PhD student, I don'

YimingZhao 65 Dec 22, 2022
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

CSWin-Transformer This repo is the official implementation of "CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows". Th

Microsoft 409 Jan 06, 2023
Official code of paper "PGT: A Progressive Method for Training Models on Long Videos" on CVPR2021

PGT Code for paper PGT: A Progressive Method for Training Models on Long Videos. Install Run pip install -r requirements.txt. Run python setup.py buil

Bo Pang 27 Mar 30, 2022
A web porting for NVlabs' StyleGAN2, to facilitate exploring all kinds characteristic of StyleGAN networks

This project is a web porting for NVlabs' StyleGAN2, to facilitate exploring all kinds characteristic of StyleGAN networks. Thanks for NVlabs' excelle

K.L. 150 Dec 15, 2022
Demonstration of transfer of knowledge and generalization with distillation

Distilling-the-Knowledge-in-a-Neural-Network This is an implementation of a part of the paper "Distilling the Knowledge in a Neural Network" (https://

26 Nov 25, 2022
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Geometry Processing with Neural Fields Pytorch implementation for the NeurIPS 2021 paper: Geometry Processing with Neural Fields Guandao Yang, Serge B

Guandao Yang 162 Dec 16, 2022
StyleTransfer - Open source style transfer project, based on VGG19

StyleTransfer - Open source style transfer project, based on VGG19

Patrick martins de lima 9 Dec 13, 2021
Learning View Priors for Single-view 3D Reconstruction (CVPR 2019)

Learning View Priors for Single-view 3D Reconstruction (CVPR 2019) This is code for a paper Learning View Priors for Single-view 3D Reconstruction by

Hiroharu Kato 38 Aug 17, 2022
Model Zoo for AI Model Efficiency Toolkit

We provide a collection of popular neural network models and compare their floating point and quantized performance.

Qualcomm Innovation Center 137 Jan 03, 2023
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.

This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in

Facebook Research 373 Dec 31, 2022