tf.compat.v1.losses.get_total_loss

Returns a tensor whose value represents the total loss.

tf.compat.v1.losses.get_total_loss(
    add_regularization_losses=True, name='total_loss', scope=None
)

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.
scope	An optional scope name for filtering the losses to return. Note that this filters the losses added with tf.add_loss() as well as the regularization losses to that scope.

Returns
A Tensor whose value represents the total loss.

Raises
ValueError	if losses is not iterable.