tf.losses.get_total_loss(
add_regularization_losses=True,
name='total_loss'
)
Defined in tensorflow/python/ops/losses/util.py.
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: iflossesis not iterable.