tf.contrib.losses.cosine_distance(
predictions,
labels=None,
axis=None,
weights=1.0,
scope=None,
dim=None
)
Defined in tensorflow/contrib/losses/python/losses/loss_ops.py
.
Adds a cosine-distance loss to the training procedure. (deprecated arguments) (deprecated)
Note that the function assumes that predictions
and labels
are already
unit-normalized.
Args:
predictions
: An arbitrary matrix.labels
: ATensor
whose shape matches 'predictions'axis
: The dimension along which the cosine distance is computed.weights
: Coefficients for the loss a scalar, a tensor of shape [batch_size] or a tensor whose shape matchespredictions
.scope
: The scope for the operations performed in computing the loss.dim
: The old (deprecated) name foraxis
.
Returns:
A scalar Tensor
representing the loss value.
Raises:
ValueError
: Ifpredictions
shape doesn't matchlabels
shape, orweights
isNone
.