tf.contrib.losses.compute_weighted_loss

Computes the weighted loss. (deprecated)

tf.contrib.losses.compute_weighted_loss(
    losses, weights=1.0, scope=None
)

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`	If `weights` is `None` or the shape is not compatible with `losses`, or if the number of dimensions (rank) of either `losses` or `weights` is missing.

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Last updated 2020-10-01 UTC.

Args