tf.losses.compute_weighted_loss(losses, weights=1.0, scope=None, loss_collection=tf.GraphKeys.LOSSES)
Computes the weighted loss.
[batch_size, d1, ... dN].
Tensorwhose rank is either 0, or the same rank as
losses, and must be broadcastable to
losses(i.e., all dimensions must be either
1, or the same as the corresponding
scope: the scope for the operations performed in computing the loss.
loss_collection: the loss will be added to these collections.
Tensor that returns the weighted loss.
Noneor the shape is not compatible with
losses, or if the number of dimensions (rank) of either