# tf.contrib.losses.cosine_distance

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


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

THIS FUNCTION IS DEPRECATED. It will be removed after 2016-12-30. Instructions for updating: Use tf.losses.cosine_distance instead.

SOME ARGUMENTS ARE DEPRECATED. They will be removed in a future version. Instructions for updating: dim is deprecated, use axis instead

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.