예제 #1
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 def __init__(self, *args, **kwargs):
     self.discriminator = None
     self.generator = None
     self.loss = None
     self.trainer = None
     BaseGAN.__init__(self, *args, **kwargs)
     self.x, self.y = self.inputs.next()
 def __init__(self, latent=None, x=None, *args, **kwargs):
     self.discriminator = None
     self.latent = None
     self.generator = None
     self.loss = None
     self.trainer = None
     self.session = None
     self.latent = latent
     self.x = x
     BaseGAN.__init__(self, *args, **kwargs)
 def __init__(self, latent=None, x=None, *args, **kwargs):
     self.discriminator = None
     self.latent = None
     self.generator = None
     self.loss = None
     self.trainer = None
     self.session = None
     self.latent = latent
     self.x = x
     BaseGAN.__init__(self, *args, **kwargs)
예제 #4
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 def __init__(self, *args, **kwargs):
     BaseGAN.__init__(self, *args, **kwargs)
예제 #5
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 def __init__(self, *args, **kwargs):
     self.frames = kwargs.pop('frames')
     BaseGAN.__init__(self, *args, **kwargs)
예제 #6
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 def __init__(self, *args, **kwargs):
     self.per_sample_frames = 3
     self.frames = kwargs.pop('frames')
     self.per_sample_frames = kwargs.pop('per_sample_frames')
     BaseGAN.__init__(self, *args, **kwargs)
예제 #7
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 def __init__(self, *args, **kwargs):
     BaseGAN.__init__(self, *args, **kwargs)
     self.x = self.inputs.next()