tf.contrib.graph_editor.SubGraphView.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.make_list_of_op()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf

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tf.contrib.graph_editor.get_backward_walk_ops()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.transform_op_if_inside_handler()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

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tf.contrib.graph_editor.ControlOutputs.update()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.check_cios()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.Transformer.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.compute_boundary_ts()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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tf.contrib.graph_editor.filter_ops_from_regex()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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