See the guide: Graph Editor (contrib) > Module: select
Compute the tensors at the boundary of a set of ops.
This function looks at all the tensors connected to the given ops (in/out) and classify them into three categories: 1) input tensors: tensors whose generating operation is not in ops. 2) output tensors: tensors whose consumer operations are not in ops 3) inside tensors: tensors which are neither input nor output tensors.
Note that a tensor can be both an inside tensor and an output tensor if it is
consumed by operations both outside and inside of
ops: an object convertible to a list of tf.Operation.
(outside_input_ts, outside_output_ts, inside_ts) where:
outside_input_ts is a Python list of input tensors;
outside_output_ts is a python list of output tensors;
inside_ts is a python list of inside tensors.
Since a tensor can be both an inside tensor and an output tensor,
inside_ts might intersect.
TypeError: if ops cannot be converted to a list of tf.Operation.