Class KerasHistory

tensorflow/python/keras/engine/base_layer.py:2701–2723

Tracks the Layer call that created a Tensor, for Keras Graph Networks. During construction of Keras Graph Networks, this metadata is added to each Tensor produced as the output of a Layer, starting with an `InputLayer`. This allows Keras to track how each Tensor was produced, and this infor

class KerasHistory(
    collections.namedtuple('KerasHistory',
                           ['layer', 'node_index', 'tensor_index'])):
  """Tracks the Layer call that created a Tensor, for Keras Graph Networks.

  During construction of Keras Graph Networks, this metadata is added to
  each Tensor produced as the output of a Layer, starting with an
  `InputLayer`. This allows Keras to track how each Tensor was produced, and
  this information is later retraced by the `keras.engine.Network` class to
  reconstruct the Keras Graph Network.

  Attributes:
    layer: The Layer that produced the Tensor.
    node_index: The specific call to the Layer that produced this Tensor. Layers
      can be called multiple times in order to share weights. A new node is
      created every time a Tensor is called.
    tensor_index: The output index for this Tensor. Always zero if the Layer
      that produced this Tensor only has one output. Nested structures of
      Tensors are deterministically assigned an index via `nest.flatten`.
  """
  # Added to maintain memory and performance characteristics of `namedtuple`
  # while subclassing.
  __slots__ = ()


# Avoid breaking users who directly import this symbol from this file.