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yfor1008 avatar yfor1008 commented on July 24, 2024 30

I have solved this problem by modifying several places:

  1. batch_norm(name='d_bn{}'.format(i,)) for i in range(4)]

    change to:
batch_norm(name='d_bn{}'.format(i,)) for i in range(1,4)]
  1. batch_norm(name='g_bn{}'.format(i,)) for i in range(log_size)]

    change to:
batch_norm(name='g_bn{}'.format(i,)) for i in range(log_size - 1)]
  1. h4 = linear(tf.reshape(h3, [-1, 8192]), 1, 'd_h4_lin')

    change to:
h4 = linear(tf.reshape(h3, [-1, 8192]), 1, 'd_h3_lin')
  1. depth_mul = 8 # Depth decreases as spatial component increases.

    change to:
depth_mul = 4

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Cristy94 avatar Cristy94 commented on July 24, 2024 3

Try removing the default checkpoint folder.

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yfor1008 avatar yfor1008 commented on July 24, 2024

I also faced same problem,

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zhaoying9105 avatar zhaoying9105 commented on July 24, 2024

my errror is similar:
NotFoundError (see above for traceback): Key discriminator/d_bn0/gamma not found in checkpoint #51

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gundamkeroro avatar gundamkeroro commented on July 24, 2024

That's what I have now:
NotFoundError (see above for traceback): Key generator/g_h5/w not found in checkpoint

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richardjdavies avatar richardjdavies commented on July 24, 2024

Does my pull request #49 fix this for you?

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SmallStrawHat avatar SmallStrawHat commented on July 24, 2024

@yfor1008 thanks. According to your solutions, i also solved this problem.

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hxd1011 avatar hxd1011 commented on July 24, 2024

@yfor1008 how do you know about this? it fixed the problem

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