Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Related tags

Deep Learningpythonnlpmachine-learningdeep-learningpytorchtransformerself-attentionperceiverperceiverio
Overview

Perceiver IO

Unofficial implementation of Perceiver IO: A General Architecture for Structured Inputs & Outputs

Usage

import torch

from src.perceiver.decoders import PerceiverDecoder
from src.perceiver.encoder import PerceiverEncoder
from src.perceiver import PerceiverIO


num_latents = 128
latent_dim = 256
input_dim = 64

decoder_query_dim = 4


encoder = PerceiverEncoder(
    num_latents=num_latents,
    latent_dim=latent_dim,
    input_dim=input_dim,
    num_self_attn_per_block=8,
    num_blocks=1
)
decoder = PerceiverDecoder(
    latent_dim=latent_dim,
    query_dim=decoder_query_dim
)
perceiver = PerceiverIO(encoder, decoder)

inputs = torch.randn(2, 16, input_dim)
output_query = torch.randn(2, 3, decoder_query_dim)

perceiver(inputs, output_query)  # shape = (2, 3, 4)

List of implemented decoders

  • ProjectionDecoder
  • ClassificationDecoder
  • PerceiverDecoder

Example architectures:

Citation

@misc{jaegle2021perceiver,
    title   = {Perceiver IO: A General Architecture for Structured Inputs & Outputs},
    author  = {Andrew Jaegle and Sebastian Borgeaud and Jean-Baptiste Alayrac and Carl Doersch and Catalin Ionescu and David Ding and Skanda Koppula and Andrew Brock and Evan Shelhamer and Olivier Hénaff and Matthew M. Botvinick and Andrew Zisserman and Oriol Vinyals and João Carreira},
    year    = {2021},
    eprint  = {2107.14795},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}
You might also like...
PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.
PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.

A ready-to-use framework of latest models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, and etc.

null 48 Nov 30, 2022
Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021)
Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021)

PGpoints Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021) Hyeontae Son, Young Min Kim Pre

Hyeontae Son 9 Jun 6, 2022
TANL: Structured Prediction as Translation between Augmented Natural Languages

TANL: Structured Prediction as Translation between Augmented Natural Languages Code for the paper "Structured Prediction as Translation between Augmen

null 98 Dec 15, 2022
Cross-media Structured Common Space for Multimedia Event Extraction (ACL2020)
Cross-media Structured Common Space for Multimedia Event Extraction (ACL2020)

Cross-media Structured Common Space for Multimedia Event Extraction Table of Contents Overview Requirements Data Quickstart Citation Overview The code

Manling Li 49 Nov 21, 2022
This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis This repo contains the official implementations of EigenDamage: Structured Prunin

Chaoqi Wang 107 Apr 20, 2022
A Closer Look at Structured Pruning for Neural Network Compression

A Closer Look at Structured Pruning for Neural Network Compression Code used to reproduce experiments in https://arxiv.org/abs/1810.04622. To prune, w

Bayesian and Neural Systems Group 140 Dec 5, 2022
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

structshot Code and data for paper "Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning", Yi Yang and Arz

ASAPP Research 47 Dec 27, 2022
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding

Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR

Kaushal Shetty 488 Nov 28, 2022
Deep Structured Instance Graph for Distilling Object Detectors (ICCV 2021)
Deep Structured Instance Graph for Distilling Object Detectors (ICCV 2021)

DSIG Deep Structured Instance Graph for Distilling Object Detectors Authors: Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia. [pdf] [slide]

DV Lab 31 Nov 17, 2022
Comments
  • Issue related to LayerNorm

    Issue related to LayerNorm

    Hello, man. First of all thank for your effort a lot. I can see that It was taken your time quite much to write a clear code. How ever, I just have a small question about Cross Attention class:

            self.kv_layer_norm = nn.LayerNorm(kv_dim)
        self.q_layer_norm = nn.LayerNorm(q_dim)
        self.qkv_layer_norm = nn.LayerNorm(q_dim)

    When I integrated the repository to my program as the last layer . The outputs of these LayerNorm were always 0. When I removed these Norm layers, The code run pretty well but much worse than the simple method (let's say simply concatenate the inputs and queries). p/s: To be more specific, My queries and inputs were taken from 2 separated nets. Do you have any idea about it? Once again, thank you for your great work a lot.

    opened by NathanielNguyen11 7
  • Comparison with perceiver-pytorch?

    Comparison with perceiver-pytorch?

    How does this repository compare with https://github.com/lucidrains/perceiver-pytorch ?

    Would you have any interest in generalizing and integrating the two implementations together?

    opened by xloem 3
  • Bug in MultiHeadAttention

    Bug in MultiHeadAttention

    https://github.com/esceptico/perceiver-io/blob/6b6507334451f61eeb073665b62f00d26f331893/src/perceiver_io/attention.py#L74

    in the referenced line self.scale should be multiplied instead of the divide, since it's defined as self.scale = self.qk_head_dim ** -0.5. The correct expression should be attention = (q @ k.transpose(-2, -1) * self.scale)

    -Nilesh

    opened by nilesh2797 2
Releases(v0.1.4)
Owner
Timur Ganiev
Timur Ganiev
GitHub Repository
Efficient semidefinite bounds for multi-label discrete graphical models.

Low rank solvers #################################### benchmark/ : folder with the random instances used in the paper. ############################

1 Dec 08, 2022
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang

code for "Improving GAN Training via Binarized Representation Entropy (BRE) Regularization" (ICLR2018 paper) paper: https://arxiv.org/abs/1805.03644 G

21 Oct 12, 2020
Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image (ICCV 2021)

Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color

75 Dec 02, 2022
A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Imagenette 🎶 Imagenette, gentille imagenette, Imagenette, je te plumerai. 🎶 (Imagenette theme song thanks to Samuel Finlayson) NB: Versions of Image

fast.ai 718 Jan 01, 2023
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection

61 Jan 07, 2023
Pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021).

Pytorch code for SS-Net This is a pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021). Environment Code is tested

Sun Ran 1 May 18, 2022
Commonsense Ability Tests

CATS Commonsense Ability Tests Dataset and script for paper Evaluating Commonsense in Pre-trained Language Models Use making_sense.py to run the exper

XUHUI ZHOU 28 Oct 19, 2022
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, Pattern Recognition

USDAN The implementation of Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, which is accepte

11 Nov 03, 2022
Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification

next_best_view_rl Setup Clone the repository: git clone --recurse-submodules ... In 'third_party/zed-ros-wrapper': git checkout devel Install mujoco `

Christian Korbach 1 Feb 15, 2022
An imperfect information game is a type of game with asymmetric information

DecisionHoldem An imperfect information game is a type of game with asymmetric information. Compared with perfect information game, imperfect informat

Decision AI 25 Dec 23, 2022
A curated list of awesome deep long-tailed learning resources.

A curated list of awesome deep long-tailed learning resources.

vanint 210 Dec 25, 2022
AVD Quickstart Containerlab

AVD Quickstart Containerlab WARNING This repository is still under construction. It's fully functional, but has number of limitations. For example: RE

Carl Buchmann 3 Apr 10, 2022
This repository contains the code for: RerrFact model for SciVer shared task

RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S

Ashish Rana 1 May 22, 2022
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli

Carousel Personalization in Music Streaming Apps with Contextual Bandits - RecSys 2020 This repository provides Python code and data to reproduce expe

Deezer 48 Jan 02, 2023
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

CoMoGAN: Continuous Model-guided Image-to-Image Translation Official repository. Paper CoMoGAN: continuous model-guided image-to-image translation [ar

166 Dec 31, 2022
Post-Training Quantization for Vision transformers.

PTQ4ViT Post-Training Quantization Framework for Vision Transformers. We use the twin uniform quantization method to reduce the quantization error on

Zhihang Yuan 61 Dec 28, 2022
[ICCV2021] Learning to Track Objects from Unlabeled Videos

Unsupervised Single Object Tracking (USOT) 🌿 Learning to Track Objects from Unlabeled Videos Jilai Zheng, Chao Ma, Houwen Peng and Xiaokang Yang 2021

53 Dec 28, 2022
Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021

AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Project Page | Video | Paper PyTorch implementation of automatic integration

Stanford Computational Imaging Lab 149 Dec 22, 2022
BERT model training impelmentation using 1024 A100 GPUs for MLPerf Training v1.1

Pre-trained checkpoint and bert config json file Location of checkpoint and bert config json file This MLCommons members Google Drive location contain

SAIT (Samsung Advanced Institute of Technology) 12 Apr 27, 2022
Face recognition with trained classifiers for detecting objects using OpenCV

Face_Detector Face recognition with trained classifiers for detecting objects using OpenCV Libraries required to be installed using pip Command: cv2 n

Chumui Tripura 0 Oct 31, 2021