tf.contrib.losses.cosine_distance

Adds a cosine-distance loss to the training procedure. (deprecated arguments) (deprecated)

tf.contrib.losses.cosine_distance(
    predictions, labels=None, axis=None, weights=1.0, scope=None, dim=None
)

Note that the function assumes that predictions and labels are already unit-normalized.

Args
predictions	An arbitrary matrix.
labels	A Tensor 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 matches predictions.
scope	The scope for the operations performed in computing the loss.
dim	The old (deprecated) name for axis.

Returns
A scalar Tensor representing the loss value.

Raises
ValueError	If predictions shape doesn't match labels shape, or weights is None.