LogAvgExp - Pytorch Implementation of LogAvgExp

Related tags

Deep Learningpytorchlogsumexp
Overview

LogAvgExp - Pytorch

Implementation of LogAvgExp for Pytorch

Install

$ pip install logavgexp-pytorch

Usage

import torch
from logavgexp_pytorch import logavgexp

# basically it is an improved logsumexp (differentiable max)
# normalized for length

x = torch.arange(1000)
y = logavgexp(x, dim = 0, temp = 0.01) # ~998.8

# more than 1 dimension

x = torch.randn(1, 2048, 5)
y = logavgexp(x, dim = 1, temp = 0.2) # (1, 5)

# keep dimension

x = torch.randn(1, 2048, 5)
y = logavgexp(x, dim = 1, temp = 0.2, keepdim = True) # (1, 1, 5)

# masking (False for mask out with large negative value)

x = torch.randn(1, 2048, 5)
m = torch.randint(0, 2, (1, 2048, 1)).bool()

y = logavgexp(x, mask = m, dim = 1, temp = 0.2, keepdim = True) # (1, 1, 5)

With learned temperature

# learned temperature
import torch
from torch import nn
from logavgexp_pytorch import logavgexp

learned_temp = nn.Parameter(torch.ones(1) * -5).exp().clamp(min = 1e-8) # make sure temperature can't hit 0

x = torch.randn(1, 2048, 5)
y = logavgexp(x, temp = learned_temp, dim = -1) # (1, 5)

Or you can use the LogAvgExp class to handle the learned temperature parameter

import torch
from logavgexp_pytorch import LogAvgExp

logavgexp = LogAvgExp(
    temp = 0.01,
    dim = 1,
    learned_temp = True
)

x = torch.randn(1, 2048, 5)
y = logavgexp(x) # (1, 5)

Citations

@misc{lowe2021logavgexp,
    title   = {LogAvgExp Provides a Principled and Performant Global Pooling Operator}, 
    author  = {Scott C. Lowe and Thomas Trappenberg and Sageev Oore},
    year    = {2021},
    eprint  = {2111.01742},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}
You might also like...
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

This repository holds NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch. Some of the code here will be included in upstream Pytorch eventually. The intention of Apex is to make up-to-date utilities available to users as quickly as possible.

NVIDIA Corporation 6.9k Jan 3, 2023
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. List of Algorithms

Mayur 119 Nov 24, 2022
Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch

Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch

Pytorch Lightning 1.4k Jan 1, 2023
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka

Mamy Ratsimbazafy 360 Dec 10, 2022
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pu

Ritchie Ng 9.2k Jan 2, 2023
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka

Mamy Ratsimbazafy 359 Jan 5, 2023
A bunch of random PyTorch models using PyTorch's C++ frontend
A bunch of random PyTorch models using PyTorch's C++ frontend

PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or

Vince 0 Jul 13, 2021
PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

PyTorch Autoencoders Implementing a Variational Autoencoder (VAE) Series in Pytorch. Inspired by this repository Model List check model paper conferen

Subin An 8 Nov 21, 2022
PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.

PyTorch-LIT PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With

Amin Rezaei 157 Dec 11, 2022
Comments
  • Enhancement: 2d Pooling

    Enhancement: 2d Pooling

    Could put in 2d pooling for an easy to drop in alternative to AvgPool2d by using pixel_unshuffle for cases where there's exact divisions of an input shape, or padding and unfold for overlapping windows / strides that aren't equal to the window size.

    I don't know how fast Unfold is or if there's a better way to do the operation; I tried checking the PyTorch github to see how it does AvgPool2d for strides that aren't equal to the window size behind the scenes but I can never seem to figure out which version of the operation is the one that's used, it's defined in so many places it's beyond me.

    I've once seen an alternative to pixel unshuffle that used grouped conv2d, a kernel that put each position into its own channel output, and stride, but I can't seem to find it again. It was useful because you could adjust the stride and then it'd be like Unfold, but I never got around to testing if it was actually faster.

    opened by torridgristle 6
  • learned temperature stagnates at a low value (a high value is expected)

    learned temperature stagnates at a low value (a high value is expected)

    Hi,

    Big thanks for your pytorch implementation of the logavgexp !

    I noticed that it is easy for logavgexp to reproduce the max operator (temperature goes nicely to 0); but it has trouble reproducing the mean operator, the temperature stagnates in the following example at 0.35; do your have an explanation for that or ways to circumvent this issue? Thanks !

    import torch
torch.manual_seed(12345)
from logavgexp_pytorch import LogAvgExp

B = 10
N = 20
x = torch.randn(B,N)
#y, _ = x.max(dim=-1, keepdim=True)
y    = x.mean(dim=-1, keepdim=True)
logavgexp = LogAvgExp(
    temp = 1,
    dim = 1,
    learned_temp = True,
    keepdim = True)

optimizer = torch.optim.Adam(logavgexp.parameters(), lr=0.01)
loss_func = torch.nn.MSELoss()
scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer,
                                                       factor=0.5,
                                                       patience=100,
                                                       verbose=True)

for i in range(10000):
    prediction = logavgexp(x)
    loss = loss_func(prediction, y) 
    optimizer.zero_grad()
    loss.backward()        
    optimizer.step()
    scheduler.step(loss, epoch=i)
    print(f"ite: {i}, loss: {loss.item():.2e}, temperature: {logavgexp.temp.exp().item():.4f}")
    opened by ldv1 0
Releases(0.0.6)
Owner
Phil Wang
Working with Attention. It's all we need
Phil Wang
GitHub Repository
Python Implementation of Chess Playing AI with variable difficulty

Chess AI with variable difficulty level implemented using the MiniMax AB-Pruning Algorithm

Ali Imran 7 Feb 20, 2022
SemEval2022 Patronizing and Condescending Language (PCL) Detection

SemEval2022 Patronizing and Condescending Language (PCL) Detection This task is from SemEval 2022. What is Patronizing and Condescending Language (PCL

Daniel Saeedi 0 Aug 05, 2022
🎃 Core identification module of AI powerful point reading system platform.

ppReader-Kernel Intro Core identification module of AI powerful point reading system platform. Usage 硬件： Windows10、GPU：nvdia GTX 1060 、普通RBG相机 软件： con

CrashKing 1 Jan 11, 2022
Autoencoders pretraining using clustering

Autoencoders pretraining using clustering

IITiS PAN 2 Dec 16, 2021
disentanglement_lib is an open-source library for research on learning disentangled representations.

disentanglement_lib disentanglement_lib is an open-source library for research on learning disentangled representation. It supports a variety of diffe

Google Research 1.3k Dec 28, 2022
Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"

hypergraph_reid Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification" If you find this help your research,

62 Dec 21, 2022
Control-Robot-Arm-using-PS4-Controller - A Robotic Arm based on Raspberry Pi and Arduino that controlled by PS4 Controller

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

MohammadReza Sharifi 5 Jan 01, 2022
Implementation of the final project of the course DDA6309 Probabilistic Graphical Model

Task-aware Joint CWS and POS (TCwsPos) This is the implementation of the final project of the course DDA6309 Probabilistic Graphical Models, The Chine

Peng 1 Dec 26, 2021
Causal estimators for use with WhyNot

WhyNot Estimators A collection of causal inference estimators implemented in Python and R to pair with the Python causal inference library whynot. For

ZYKLS 8 Apr 06, 2022
classify fashion-mnist dataset with pytorch

Fashion-Mnist Classifier with PyTorch Inference 1- clone this repository: git clone https://github.com/Jhamed7/Fashion-Mnist-Classifier.git 2- Instal

1 Jan 14, 2022
Practical and Real-world applications of ML based on the homework of Hung-yi Lee Machine Learning Course 2021

Machine Learning Theory and Application Overview This repository is inspired by the Hung-yi Lee Machine Learning Course 2021. In that course, professo

SilenceJiang 35 Nov 22, 2022
Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Open Compound Domain Adaptation [Project] [Paper] [Demo] [Blog] Overview Open Compound Domain Adaptation (OCDA) is the author's re-implementation of t

Zhongqi Miao 137 Dec 15, 2022
Robot Reinforcement Learning on the Constraint Manifold

Implementation of "Robot Reinforcement Learning on the Constraint Manifold"

31 Dec 05, 2022
Generative Adversarial Networks(GANs)

Generative Adversarial Networks(GANs) Vanilla GAN ClusterGAN Vanilla GAN Model Structure Final Generator Structure A MLP with 2 hidden layers of hidde

Zhenbang Feng 2 Nov 05, 2021
Meshed-Memory Transformer for Image Captioning. CVPR 2020

M²: Meshed-Memory Transformer This repository contains the reference code for the paper Meshed-Memory Transformer for Image Captioning (CVPR 2020). Pl

AImageLab 422 Dec 28, 2022
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

Crafting Better Contrastive Views for Siamese Representation Learning (CVPR 2022 Oral) 2022-03-29: The paper was selected as a CVPR 2022 Oral paper! 2

249 Dec 28, 2022
GeDML is an easy-to-use generalized deep metric learning library

GeDML is an easy-to-use generalized deep metric learning library

Borui Zhang 32 Dec 05, 2022
A simple approach to emable dense segmentation with ViT.

Vision Transformer Segmentation Network This implementation of ViT in pytorch uses a super simple and straight-forward way of generating an output of

HReynaud 5 Jan 03, 2023
Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)

Normalization Matters in Weakly Supervised Object Localization (ICCV 2021) 99% of the code in this repository originates from this link. ICCV 2021 pap

Jeesoo Kim 10 Feb 01, 2022
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

GANimation: Anatomically-aware Facial Animation from a Single Image [Project] [Paper] Official implementation of GANimation. In this work we introduce

Albert Pumarola 1.8k Dec 28, 2022