这里使用pytorch中自带的数据集工具进行对数据的提取: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # 采样函数为自己定义的序列采样(即按顺序采样) class ChunkSampler(sampler.Sampler): """Samples elements sequentially from some offset. Arguments: num_samples: # of desired datapoints start: offset ...
## PyTorch中的gather()函数的作用### 引言在PyTorch中,gather()函数是一个非常有用的工具,用于根据给定的索引从输入张量中获取特定的元素。它在模型训练和数据处理中经常被使用,特别是在处理序列数据或标签对应的索引时。本文将介绍gather()函数的作用以及如何使用它。### gather()函数的流程下面是使用gather()函...
RevGAN: Memory-efficient Image-to-Image Translation in 2D and 3D RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by design and thus partially satisfy cycle-...
from torch.utils.dataimportDatasetimportnumpyasnpclassSines(Dataset):def__init__(self,frequency_range:Sequence[float],amplitude_range:Sequence[float],n_series:int=200,datapoints:int=100,seed:int=None):""" Pytorch Dataset to produce sines.y=A*sin(B*x):param frequency_range:rangeofA:param ampl...
pytorch版本,比官方那个tf代码更容易看明白 GitHub - akanimax/pro_gan_pytorch: Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"github.com/akanimax/pro_gan_pytorch 1.Intro 2019那会,虽然GAN生成图像的质量不断提升,人们...
Implementation of A Style-Based Generator Architecture for Generative Adversarial Networks (https://arxiv.org/abs/1812.04948) in PyTorch Demo and Docker image on Replicate Usage: You should prepare lmdb dataset python prepare_data.py --out LMDB_PATH --n_worker N_WORKER DATASET_PATH ...
我们首先编写一个Pytorch数据集来产生不同的正弦函数。Pytorch数据集是方便的实用程序,可以使数据加载更容易,并提高代码的可读性。看看这里。 获取完整代码,见文末 fromtypingimportSequencefromtorch.utils.dataimportDatasetimportnumpyasnpclassSines(Dataset):def__init__(self,frequency_range:Sequence[float],amplitude...
复现所参考项目地址:https:///xinntao/ESRGAN(Pytorch implementation) 如果想用tensorboardx,只需将train_ESRGAN.json文件中name里的debug拿掉即可: { "name": "RRDB_ESRGAN_x4_DIV2K" // please remove "debug_" during training , "use_tb_logger": true ...
Code based on a full PyTorch [implementation]. Run Example $ cd implementations/cluster_gan/ $ python3 clustergan.py Conditional GAN Conditional Generative Adversarial Nets Authors Mehdi Mirza, Simon Osindero Abstract Generative Adversarial Nets [8] were recently introduced as a novel way to train ...
This repository provides a PyTorch implementation ofSAGAN. Both wgan-gp and wgan-hinge loss are ready, but note that wgan-gp is somehow not compatible with the spectral normalization. Remove all the spectral normalization at the model for the adoption of wgan-gp. ...