# tf.contrib.graph_editor.compute_boundary_ts(ops)

### tf.contrib.graph_editor.compute_boundary_ts(ops)

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.

#### 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.