tf.contrib.receptive_field.get_compute_order( graph_def, input_node_name='', input_node_size=None )
Defined in tensorflow/contrib/receptive_field/python/util/graph_compute_order.py
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Computes order of computation for a given CNN graph.
Optionally, the function may also compute the input and output feature map resolutions at each node. In this case, input_node_name and input_node_size must be set. Note that if a node's op type is unknown, the input and output resolutions are ignored and set to None.
graph_def
: GraphDef object.input_node_name
: Name of node with fixed input resolution (optional). This is usually the node name for the input image in a CNN.input_node_size
: 2D list of integers, fixed input resolution to use (optional). This is usually the input resolution used for the input image in a CNN (common examples are: [224, 224], [299, 299], [321, 321]).node_info
: Default dict keyed by node name, mapping to a named tuple with the following fields:name_to_node
: Dict keyed by node name, each entry containing the node's NodeDef.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/receptive_field/get_compute_order