jayleicn / animegan Goto Github PK

The classes in module.py contains some nn.Module layers whose names contains some'.' in it, so I got error messages like the title, so how could I play it??

I would like to know how I can use this image generation to generate my own images from a self made model?

Where can I read upon on this. I find no concrete info on making the models.

Hi,
The dataset from google drive contains 126 tags. However, some folders are emtpy:

1girl
apron
blush
collarbone
hairclip
honma_meiko
japanese_clothes
monochrome
necktie
nishizumi_miho
purple_eyes
scarf
school_uniform
sunglasses

Is this normal? Thanks

Why does it occur?

Traceback (most recent call last):
File "main.py", line 6, in
import torch
File "/Library/Python/2.7/site-packages/torch/init.py", line 81, in
from torch._C import *
RuntimeError: module compiled against API version 0xa but this version of numpy is 0x9

How can I fix the problem?

input.data.resize_(real_cpu.size()).copy_(real_cpu)
RuntimeError: set_sizes_contiguous is not allowed on a Tensor created from .data or .detach().
If your intent is to change the metadata of a Tensor (such as sizes / strides / storage / storage_offset)
without autograd tracking the change, remove the .data / .detach() call and wrap the change in a with torch.no_grad(): block.
For example, change:
x.data.set_(y)
to:
with torch.no_grad():
x.set_(y)

Maybe it is safer for everyone to just filter them out manually (not in training, because it might be too much work, but only in readme).