tf.contrib.graph_editor.get_backward_walk_ops()

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

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tf.contrib.graph_editor.sgv_scope()

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

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tf.contrib.graph_editor.ControlOutputs.update()

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

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tf.contrib.graph_editor.get_within_boundary_ops()

tf.contrib.graph_editor.get_within_boundary_ops(ops, seed_ops, boundary_ops=(), inclusive=True, control_inputs=False, control_outputs=None, control_ios=None)

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tf.contrib.graph_editor.detach_outputs()

tf.contrib.graph_editor.detach_outputs(sgv, control_outputs=None) Detach the outputa of a subgraph view.

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tf.contrib.graph_editor.get_walks_intersection_ops()

tf.contrib.graph_editor.get_walks_intersection_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False

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tf.contrib.graph_editor.SubGraphView.is_passthrough()

tf.contrib.graph_editor.SubGraphView.is_passthrough(t) Check whether a tensor is passthrough.

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tf.contrib.graph_editor.matcher.control_input_ops()

tf.contrib.graph_editor.matcher.control_input_ops(*args) Add input matches.

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tf.contrib.graph_editor.ControlOutputs.

tf.contrib.graph_editor.ControlOutputs.__init__(graph) Create a dictionary of control-output dependencies.

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tf.contrib.graph_editor.ph()

tf.contrib.graph_editor.ph(dtype, shape=None, scope=None) Create a tf.placeholder for the Graph Editor. Note

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