本文整理汇总了Python中networks.conditional_discriminator方法的典型用法代码示例。如果您正苦于以下问题：Python networks.conditional_discriminator方法的具体用法？Python networks.conditional_discriminator怎么用？Python networks.conditional_discriminator使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类networks的用法示例。
在下文中一共展示了networks.conditional_discriminator方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_discriminator_conditional
# 需要导入模块: import networks [as 别名]
# 或者: from networks import conditional_discriminator [as 别名]
def test_discriminator_conditional(self):
batch_size = 5
image = tf.random_uniform([batch_size, 32, 32, 3], -1, 1)
conditioning = (None, tf.one_hot([0] * batch_size, 10))
dis_output = networks.conditional_discriminator(image, conditioning)
with self.test_session(use_gpu=True) as sess:
sess.run(tf.global_variables_initializer())
dis_output_np = dis_output.eval()
self.assertAllEqual([batch_size, 1], dis_output_np.shape)