tf.contrib.graph_editor.graph_replace( target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False )
See the guide: Graph Editor (contrib) > Module: transform
Create a new graph which compute the targets from the replaced Tensors.
target_ts: a single tf.Tensor or an iterable of tf.Tensor.
replacement_ts: dictionary mapping from original tensors to replaced tensors
dst_scope: the destination scope.
src_scope: the source scope.
reuse_dst_scope: if True the dst_scope is re-used if it already exists. Otherwise, the scope is given a unique name based on the one given by appending an underscore followed by a digit (default).
A single tf.Tensor or a list of target tf.Tensor, depending on
the type of the input argument
The returned tensors are recomputed using the tensors from replacement_ts.
ValueError: if the targets are not connected to replacement_ts.