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Commit d6398765 authored by tomrink's avatar tomrink
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parent 6d6aa0ce
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...@@ -609,7 +609,7 @@ class SRCNN: ...@@ -609,7 +609,7 @@ class SRCNN:
with self.writer_train.as_default(): with self.writer_train.as_default():
tf.summary.scalar('loss_trn', loss.numpy(), step=step) tf.summary.scalar('loss_trn', loss.numpy(), step=step)
tf.summary.scalar('learning_rate', self.optimizer._decayed_lr('float32').numpy(), step=step) tf.summary.scalar('learning_rate', self.optimizer.lr.numpy(), step=step)
tf.summary.scalar('num_train_steps', step, step=step) tf.summary.scalar('num_train_steps', step, step=step)
tf.summary.scalar('num_epochs', epoch, step=step) tf.summary.scalar('num_epochs', epoch, step=step)
...@@ -629,7 +629,7 @@ class SRCNN: ...@@ -629,7 +629,7 @@ class SRCNN:
tf.summary.scalar('loss_val', self.test_loss.result(), step=step) tf.summary.scalar('loss_val', self.test_loss.result(), step=step)
print('****** test loss, acc, lr: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(), print('****** test loss, acc, lr: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
self.optimizer._decayed_lr('float32').numpy()) self.optimizer.lr.numpy())
step += 1 step += 1
print('train loss: ', loss.numpy()) print('train loss: ', loss.numpy())
......
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