tf.contrib.graph_editor.compute_boundary_ts()

tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True)

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.

Args:

• ops: an object convertible to a list of tf.Operation.
• ambiguous_ts_are_outputs: a tensor can have consumers both inside and outside ops. Such tensors are treated as outside tensor if ambiguous_ts_are_outputs is True, otherwise they are treated as inside tensor.

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.

Raises:

• TypeError: if ops cannot be converted to a list of tf.Operation.