Exporting inbound nodes from Keras to JSON format: inbound_nodes

I'm currently trying to wrap my head around how to interpret the JSON representation of a Keras model. The field inbound_nodes stores the inputs for each layer, but I'm puzzled by why they are nested within arrays.

For instance, when there are 2 inputs for a merge layer, it appears like this:

inbound_nodes: [
  [
    ['average_pooling2d_1', 0, 0, {}],
    ['conv2d_3', 0, 0, {}],
  ]
]

Why all the array layers? Wouldn't it be simpler to save them like this:

inbound_nodes: ['average_pooling2d_1', 'conv2d_3']

I assume the nested structure is necessary to store additional information in some cases. What kind of information could that be? When would the size of inbound_nodes be greater than 1?

jsonexportkeraskeras-layer

Answer №1

Future enhancements could be accommodated by the parameters of 'pooling2d'. When layers involve multiple data streams, the number of inbound nodes exceeds 1. To delve deeper into this topic, refer to the definition of Node and Layer in the source code of Keras.

Answer №2

Here's what I've discovered:

  • The outer array is utilized when the Layer is recycled.
  • The inner array is employed if the layer has multiple inputs.
  • In index [0] lies the layer name.
  • Position [1] indicates whether the "Layer" is a Model or not. For example, ["Base Model", 1, ...] signifies that the layer can be found in the Base Model configuration, while 0 means it corresponds to a regular Layer.
  • The value at position [2] represents the index of the output layer if position [1] equals 1 and refers to a Model.

Still unsure about the dictionary part.

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