tf.losses.get_total_loss
tf.losses.get_total_loss
tf.losses.get_total_loss
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
: iflosses
is not iterable.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/losses/get_total_loss