Lines Matching defs:Generator
98 class Generator(tfe.Network):
99 """Generator of handwritten digits similar to the ones in the MNIST dataset.
111 super(Generator, self).__init__(name='')
181 """Original generator loss for GANs.
201 def train_one_epoch(generator, discriminator,
204 """Trains `generator` and `discriminator` models on `dataset`.
207 generator: Generator model.
209 generator_optimizer: Optimizer to use for generator.
229 generated_images = generator(noise)
243 generator_grad = g.gradient(generator_loss_val, generator.variables)
247 with tf.variable_scope('generator'):
249 generator.variables))
255 print('Batch #%d\tAverage Generator Loss: %.6f\t'
275 generator = Generator(data_format)
277 with tf.variable_scope('generator'):
296 train_one_epoch(generator, discriminator, generator_optimizer,
304 generator.variables
360 help='Length of noise vector for generator input (default: 100)')
