tf.contrib.graph_editor.compute_boundary_ts(ops)
Defined in tensorflow/contrib/graph_editor/select.py.
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.
Args:
ops: an object convertible to a list of tf.Operation.
Returns:
A tuple (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,
outside_output_ts and inside_ts might intersect.
Raises:
TypeError: if ops cannot be converted to a list of tf.Operation.