tf.contrib.losses.compute_weighted_loss(
losses,
weights=1.0,
scope=None
)
Defined in tensorflow/contrib/losses/python/losses/loss_ops.py
.
Computes the weighted loss. (deprecated)
Args:
losses
: A tensor of size [batch_size, d1, ... dN].weights
: A tensor of size [1] or [batch_size, d1, ... dK] where K < N.scope
: the scope for the operations performed in computing the loss.
Returns:
A scalar Tensor
that returns the weighted loss.
Raises:
ValueError
: Ifweights
isNone
or the shape is not compatible withlosses
, or if the number of dimensions (rank) of eitherlosses
orweights
is missing.