# tf.losses.get_total_loss

tf.losses.get_total_loss(
name='total_loss'
)


Returns a tensor whose value represents the total loss.

In particular, this adds any losses you have added with tf.add_loss() to any regularization losses that have been added by regularization parameters on layers constructors e.g. tf.layers. Be very sure to use this if you are constructing a loss_op manually. Otherwise regularization arguments on tf.layers methods will not function.

#### Args:

• add_regularization_losses: A boolean indicating whether or not to use the regularization losses in the sum.
• name: The name of the returned tensor.

#### Returns:

A Tensor whose value represents the total loss.

#### Raises:

• ValueError: if losses is not iterable.