(self)
| 155 | print("success") |
| 156 | |
| 157 | def sampler(self): |
| 158 | with tf.variable_scope("g_net", reuse=True): |
| 159 | c, _ = self.sample_encoded_context(self.embeddings) |
| 160 | z = tf.random_normal([self.batch_size, cfg.Z_DIM]) |
| 161 | self.fake_images = self.model.get_generator(tf.concat(1, [c, z])) |
| 162 | with tf.variable_scope("hr_g_net", reuse=True): |
| 163 | hr_c, _ = self.sample_encoded_context(self.embeddings) |
| 164 | self.hr_fake_images =\ |
| 165 | self.model.hr_get_generator(self.fake_images, hr_c) |
| 166 | |
| 167 | def compute_losses(self, images, wrong_images, |
| 168 | fake_images, embeddings, flag='lr'): |
no test coverage detected