Uformer - Pytorch
Implementation of Uformer, Attention-based Unet, in Pytorch. It will only offer the concat-cross-skip connection.
This repository will be geared towards use in a project for learning protein structures. Specifically, it will include the ability to condition on time steps (needed for DDPM), as well as 2d relative positional encoding using rotary embeddings (instead of the bias on the attention matrix in the paper).
Install
$ pip install uformer-pytorch
Usage
import torch
from uformer_pytorch import Uformer
model = Uformer(
dim = 64, # initial dimensions after input projection, which increases by 2x each stage
stages = 4, # number of stages
num_blocks = 2, # number of transformer blocks per stage
window_size = 16, # set window size (along one side) for which to do the attention within
dim_head = 64,
heads = 8,
ff_mult = 4
)
x = torch.randn(1, 3, 256, 256)
pred = model(x) # (1, 3, 256, 256)
To condition on time for DDPM training
import torch
from uformer_pytorch import Uformer
model = Uformer(
dim = 64,
stages = 4,
num_blocks = 2,
window_size = 16,
dim_head = 64,
heads = 8,
ff_mult = 4,
time_emb = True # set this to true
)
x = torch.randn(1, 3, 256, 256)
time = torch.arange(1)
pred = model(x, time = time) # (1, 3, 256, 256)
Citations
@misc{wang2021uformer,
title = {Uformer: A General U-Shaped Transformer for Image Restoration},
author = {Zhendong Wang and Xiaodong Cun and Jianmin Bao and Jianzhuang Liu},
year = {2021},
eprint = {2106.03106},
archivePrefix = {arXiv},
primaryClass = {cs.CV}
}
84 Nov 22, 2022
1 Oct 21, 2021
4 Dec 21, 2021
1.8k Jan 7, 2023
3 Jun 29, 2022
556 Jan 4, 2023
71 Dec 30, 2022
5 Nov 21, 2022
0 Sep 2, 2021
10 Feb 01, 2022
608 Dec 30, 2022
196 Jan 04, 2023
1.1k Dec 26, 2022
32 Dec 26, 2022
268 Jan 07, 2023
3 Nov 24, 2021
34 Nov 02, 2022
1 Dec 03, 2021
1.9k Dec 26, 2022
1 Oct 03, 2022
294 Dec 17, 2022
103 Dec 29, 2022
1 Nov 01, 2021
260 Dec 28, 2022
47 Dec 23, 2022
4 Oct 23, 2022
412 Dec 28, 2022
118 Jan 05, 2023