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Returns a tensor whose value represents the total loss.
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Compat aliases for migration
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tf.losses.get_total_loss(
add_regularization_losses=True, name='total_loss', scope=None
)
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. |
scope
|
An optional scope name for filtering the losses to return. Note that
this filters the losses added with tf.add_loss() as well as the
regularization losses to that scope.
|
Returns | |
|---|---|
A Tensor whose value represents the total loss.
|
Raises | |
|---|---|
ValueError
|
if losses is not iterable.
|