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simonxue avatar simonxue commented on July 20, 2024

line 210 in gan_64x64.py:

change

output = ResidualBlock('Generator.Res3', 2*dim, 2*dim, 3, output, resample='up')

to

output = ResidualBlock('Generator.Res3', 4*dim, 2*dim, 3, output, resample='up')

from improved_wgan_training.

simonxue avatar simonxue commented on July 20, 2024

line 358-361 in gan_64x64.py:

change ResidualBlock to BottleneckResidualBlock.

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simonxue avatar simonxue commented on July 20, 2024

It's runnable now, but is not generating any meaningful pictures. :-(

from improved_wgan_training.

parkerzf avatar parkerzf commented on July 20, 2024

Any update on this? Which tensorflow version do you have?

I use tensorflow-gpu (1.1.0rc2), it has many incompatabilities:

Traceback (most recent call last):
File "gan_64x64.py", line 485, in
fake_data = Generator(BATCH_SIZE/len(DEVICES))
File "gan_64x64.py", line 216, in GoodGenerator
output = Normalize('Generator.OutputN', output)
TypeError: Normalize() takes exactly 3 arguments (2 given)

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simonxue avatar simonxue commented on July 20, 2024

I've moved to try gan_cifar.py, which could generate meaningful pics.

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igul222 avatar igul222 commented on July 20, 2024

Sorry for this! the bugs in gan_64x64.py should be fixed now.

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