diff options
Diffstat (limited to 'tensorflow/contrib/losses/python')
-rw-r--r-- | tensorflow/contrib/losses/python/losses/loss_ops.py | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/tensorflow/contrib/losses/python/losses/loss_ops.py b/tensorflow/contrib/losses/python/losses/loss_ops.py index f6d3601c7d..1d2477b8b7 100644 --- a/tensorflow/contrib/losses/python/losses/loss_ops.py +++ b/tensorflow/contrib/losses/python/losses/loss_ops.py @@ -301,7 +301,7 @@ def absolute_difference(predictions, labels=None, weights=1.0, scope=None): @deprecated("2016-12-30", "Use tf.losses.sigmoid_cross_entropy instead. Note that the order " - "of the predictions and labels arguments was changed.") + "of the predictions and labels arguments has been changed.") def sigmoid_cross_entropy( logits, multi_class_labels, weights=1.0, label_smoothing=0, scope=None): """Creates a cross-entropy loss using tf.nn.sigmoid_cross_entropy_with_logits. @@ -436,7 +436,7 @@ def sparse_softmax_cross_entropy(logits, labels, weights=1.0, scope=None): @deprecated("2016-12-30", "Use tf.losses.log_loss instead. Note that the order of the " - "predictions and labels arguments was changed.") + "predictions and labels arguments has been changed.") def log_loss(predictions, labels=None, weights=1.0, epsilon=1e-7, scope=None): """Adds a Log Loss term to the training procedure. @@ -477,7 +477,8 @@ def log_loss(predictions, labels=None, weights=1.0, epsilon=1e-7, scope=None): @deprecated("2016-12-30", "Use tf.losses.hinge_loss instead. Note that the order of the " - "predictions and labels arguments were changed.") + "logits and labels arguments has been changed, and to stay " + "unweighted, reduction=Reduction.NONE") def hinge_loss(logits, labels=None, scope=None): """Method that returns the loss tensor for hinge loss. @@ -488,8 +489,8 @@ def hinge_loss(logits, labels=None, scope=None): scope: The scope for the operations performed in computing the loss. Returns: - A `Tensor` of same shape as `logits` and `labels` representing the loss - values across the batch. + An unweighted `Tensor` of same shape as `logits` and `labels` representing the + loss values across the batch. Raises: ValueError: If the shapes of `logits` and `labels` don't match. @@ -541,7 +542,7 @@ def mean_squared_error(predictions, labels=None, weights=1.0, scope=None): @deprecated("2016-12-30", "Use tf.losses.mean_pairwise_squared_error instead. Note that the " - "order of the predictions and labels arguments was changed.") + "order of the predictions and labels arguments has been changed.") def mean_pairwise_squared_error( predictions, labels=None, weights=1.0, scope=None): """Adds a pairwise-errors-squared loss to the training procedure. |