Prunes out nodes that aren't needed for inference. (deprecated)
tf.compat.v1.graph_util.remove_training_nodes(
input_graph, protected_nodes=None
)
There are nodes like Identity and CheckNumerics that are only useful
during training, and can be removed in graphs that will be used for
nothing but inference. Here we identify and remove them, returning an
equivalent graph. To be specific, CheckNumerics nodes are always removed, and
Identity nodes that aren't involved in control edges are spliced out so that
their input and outputs are directly connected.
Args |
|---|
input_graph
|
Model to analyze and prune.
|
protected_nodes
|
An optional list of names of nodes to be kept
unconditionally. This is for example useful to preserve Identity output
nodes.
|
Returns |
|---|
|
A list of nodes with the unnecessary ones removed.
|
View source on GitHub