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Diffstat (limited to 'tensorflow/python/ops/losses/util.py')
| -rw-r--r-- | tensorflow/python/ops/losses/util.py | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/tensorflow/python/ops/losses/util.py b/tensorflow/python/ops/losses/util.py index 09ad874fae..3414df475f 100644 --- a/tensorflow/python/ops/losses/util.py +++ b/tensorflow/python/ops/losses/util.py @@ -57,7 +57,7 @@ def get_losses(scope=None, loss_collection=ops.GraphKeys.LOSSES): def get_regularization_losses(scope=None): - """Gets the regularization losses. + """Gets the list of regularization losses. Args: scope: An optional scope for filtering the losses to return. @@ -88,7 +88,11 @@ def get_regularization_loss(scope=None, name="total_regularization_loss"): def get_total_loss(add_regularization_losses=True, name="total_loss"): """Returns a tensor whose value represents the total loss. - Notice that the function adds the given losses to the regularization losses. + 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 |