# tf.contrib.graph_editor.get_walks_union_ops

tf.contrib.graph_editor.get_walks_union_ops(
forward_seed_ops,
backward_seed_ops,
forward_inclusive=True,
backward_inclusive=True,
within_ops=None,
within_ops_fn=None,
control_inputs=False,
control_outputs=None,
control_ios=None
)


See the guide: Graph Editor (contrib) > Module: select

Return the union of a forward and a backward walk.

#### Args:

• forward_seed_ops: an iterable of operations from which the forward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the consumers of those tensors.
• backward_seed_ops: an iterable of operations from which the backward graph walk starts. If a list of tensors is given instead, the seed_ops are set to be the generators of those tensors.
• forward_inclusive: if True the given forward_seed_ops are also part of the resulting set.
• backward_inclusive: if True the given backward_seed_ops are also part of the resulting set.
• within_ops: restrict the search within those operations. If within_ops is None, the search is done within the whole graph.
• within_ops_fn: if provided, a function on ops that should return True iff the op is within the graph traversal. This can be used along within_ops, in which case an op is within if it is also in within_ops.
• control_inputs: A boolean indicating whether control inputs are enabled.
• control_outputs: An instance of util.ControlOutputs or None. If not None, control outputs are enabled.
• control_ios: An instance of util.ControlOutputs or None. If not None, both control inputs and control outputs are enabled. This is equivalent to set control_inputs to True and control_outputs to the util.ControlOutputs instance.

#### Returns:

A Python set of all the tf.Operation in the union of a forward and a backward walk.

#### Raises:

• TypeError: if forward_seed_ops or backward_seed_ops or within_ops cannot be converted to a list of tf.Operation.