Method get_losses_for

tensorflow/python/keras/engine/base_layer.py:1390–1407

Retrieves losses relevant to a specific set of inputs. Arguments: inputs: Input tensor or list/tuple of input tensors. Returns: List of loss tensors of the layer that depend on `inputs`.

(self, inputs)

    return [u for u in updates if u in reachable]

  def get_losses_for(self, inputs):
    """Retrieves losses relevant to a specific set of inputs.

    Arguments:
      inputs: Input tensor or list/tuple of input tensors.

    Returns:
      List of loss tensors of the layer that depend on `inputs`.
    """
    if inputs is None:
      # Requesting unconditional losses.
      return [l for l in self.losses if l._unconditional_loss]

    # Requesting input-conditional losses.
    losses = [l for l in self.losses if not l._unconditional_loss]
    inputs = nest.flatten(inputs)
    reachable = tf_utils.get_reachable_from_inputs(inputs, losses)
    return [l for l in losses if l in reachable]

  def get_input_mask_at(self, node_index):
    """Retrieves the input mask tensor(s) of a layer at a given node.