mirror of
https://github.com/facefusion/facefusion-labs.git
synced 2026-06-25 07:59:55 +02:00
henryruhs
34 lines
857 B
Python
34 lines
857 B
Python
from configparser import ConfigParser
|
|
|
|
import pytest
|
|
import torch
|
|
|
|
from face_swapper.src.networks.aad import AAD
|
|
from face_swapper.src.networks.unet import UNet
|
|
|
|
|
|
@pytest.mark.parametrize('output_size', [ 128, 256, 512 ])
|
|
def test_aad_with_unet(output_size : int) -> None:
|
|
config_parser = ConfigParser()
|
|
config_parser.read_dict(
|
|
{
|
|
'training.model.generator':
|
|
{
|
|
'identity_channels': '512',
|
|
'output_channels': str(output_size * 16),
|
|
'output_size': str(output_size),
|
|
'num_blocks': '2'
|
|
}
|
|
})
|
|
|
|
generator = AAD(config_parser).eval()
|
|
encoder = UNet(config_parser).eval()
|
|
|
|
source_tensor = torch.randn(1, 512)
|
|
target_tensor = torch.randn(1, 3, output_size, output_size)
|
|
|
|
target_attributes = encoder(target_tensor)
|
|
output_tensor = generator(source_tensor, target_attributes)
|
|
|
|
assert output_tensor.shape == (1, 3, output_size, output_size)
|