tf.losses.get_total_loss(add_regularization_losses=True, name='total_loss')

tf.losses.get_total_loss(add_regularization_losses=True, name='total_loss')

Returns a tensor whose value represents the total loss.

Notice that the function adds the given losses to the regularization losses.

Args:

  • add_regularization_losses: A boolean indicating whether or not to use the regularization losses in the sum.
  • name: The name of the returned tensor.

Returns:

A Tensor whose value represents the total loss.

Raises:

  • ValueError: if losses is not iterable.

Defined in tensorflow/python/ops/losses/util.py.