tf.contrib.graph_editor.get_backward_walk_ops(seed_ops, inclusive=True, within_ops=None, stop_at_ts=(), control_inputs=False) Do

tf.contrib.graph_editor.check_cios(control_inputs=False, control_outputs=None, control_ios=None) Do various check on control_inputs

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

tf.contrib.graph_editor.ControlOutputs.update() Update the control outputs if the graph has changed.

tf.contrib.graph_editor.Transformer.__call__(sgv, dst_graph, dst_scope, src_scope='', reuse_dst_scope=False) Execute the transformation

tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True) Compute the tensors at the boundary of a set of

tf.contrib.graph_editor.filter_ops_from_regex(ops, regex) Get all the operations that match the given regex.

tf.contrib.graph_editor.SubGraphView.__init__(inside_ops=(), passthrough_ts=()) Create a subgraph containing the given ops and

tf.contrib.graph_editor.SubGraphView.inputs The input tensors of this subgraph view.

tf.contrib.graph_editor.sgv_scope(scope, graph) Make a subgraph from a name scope. Args: