snapshot...

modules/GSOC/E2_ESRGAN/lib/train.py

@@ -92,6 +92,7 @@ class Trainer(object):
       with tf.GradientTape() as tape:
         fake = generator.unsigned_call(image_lr)
         loss = utils.pixel_loss(image_hr, fake) * (1.0 / self.batch_size)
+        # loss = utils.pixel_loss_mse(image_hr, fake) * (1.0 / self.batch_size)
       psnr_metric(tf.reduce_mean(tf.image.psnr(fake, image_hr, max_val=256.0)))
       # gen_vars = list(set(generator.trainable_variables))
       gen_vars = generator.trainable_variables