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tf.losses.get_total_loss

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Returns a tensor whose value represents the total loss.

Aliases:

  • tf.compat.v1.losses.get_total_loss
tf.losses.get_total_loss(
    add_regularization_losses=True,
    name='total_loss'
)

In particular, this adds any losses you have added with tf.add_loss() to any regularization losses that have been added by regularization parameters on layers constructors e.g. tf.layers. Be very sure to use this if you are constructing a loss_op manually. Otherwise regularization arguments on tf.layers methods will not function.

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.