PyTorch-CycleGAN

PyTorch-CycleGAN copied to clipboard

UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use InterpolationMode enum.

8

Setting up a new session... Namespace(batchSize=1, cuda=True, dataroot='C:\\Users\\MaYu\\Desktop\\Dachuang\\datasets\\horse2zebra', decay_epoch=100, epoch=0, input_nc=3, lr=0.0002, n_cpu=6, n_epochs=200, output_nc=3, size=256) E:\anaconda\anaconda\envs\pytorch\lib\site-packages\torchvision\transforms\transforms.py:257: UserWarning: Argument interpolation should be of type InterpolationMode instead of int. Please, use...

JimberZ

question about train

1

Hello,thanks for your share,when i use your code with the command 'sh ./train --dataroot datasets/horse2zebra/ --cuda',i encounter a problem said './train: 20: ./train: Syntax error: "(" unexpected',could you please help...

xiaofeng-c

* linting with flake8 and custom `tox.ini` configuration * typing for utils and dataset * fix grayscale scenario * improved readability * added `requirements.txt`

arnauddhaene

PatchGAN loss calculated incorrectly (perhaps)

3

Thanks for the great work @aitorzip I think I've spotted a mistake in the way the GAN loss is calculated. In the `forward` of your `Discriminator` class you average the...

alexander-soare

Pls tell me why derive the discriminator loss function w.r.t. the label rather than the input data.

KeatsHao

about results

2

my test images have Artifacts like this, what's the problem and how to sovle it? thx anyway! 

YeHuanjie

The expanded size of the tensor must match the existing size at non-singleton dimension 0

4

This error message appears when the total number of training images modulo batch size does not equal zero. For instance, if I had 50 images with a batch-size of 8,...

latlio

RuntimeError: The expanded size of the tensor (1224) must match the existing size (370) at non-singleton dimension 2 When I am executing the test.py file, there is a runtime error,...

yanjinwei143

SOLUTION: IndexError: invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number

3

Base code use old version on pytorch. In new version we must change this code from file utils.py ``` if loss_name not in self.losses: self.losses[loss_name] = losses[loss_name].data[0] else: self.losses[loss_name] +=...

pnzr00t

RuntimeError: The expanded size of the tensor (1) must match the existing size (3) at non-singleton dimension 0

2

When I use my own data set, the program runs normally, but with the dataset ：horse2zebra, the program starts to report errors: 

chenmw269