infogan.py 文件源码

def sample_generator_input(self, batch_size):
            # Generator inputs
            sampled_noise = np.random.normal(0, 1, (batch_size, 62))
            sampled_labels = np.random.randint(0, 10, batch_size).reshape(-1, 1)
            sampled_labels = to_categorical(sampled_labels, num_classes=self.num_classes)
            sampled_cont = np.random.uniform(-1, 1, size=(batch_size, 2))
            return sampled_noise, sampled_labels, sampled_cont