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

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

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

tf.contrib.graph_editor.bypass(sgv) Bypass the given subgraph by connecting its inputs to its outputs.

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

tf.contrib.graph_editor.SubGraphView.__exit__(exc_type, exc_value, traceback)

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

tf.contrib.graph_editor.ControlOutputs.get_all()

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

tf.contrib.graph_editor.OpMatcher.__call__(op) Evaluate if the op matches or not.

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

tf.contrib.graph_editor.OpMatcher.input_ops(*args) Add input matches.

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

tf.contrib.graph_editor.make_placeholder_from_tensor(t, scope=None) Create a tf.placeholder for the Graph Editor.

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

tf.contrib.graph_editor.OpMatcher.__init__(positive_filter) Graph match constructor.

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

tf.contrib.graph_editor.SubGraphView.find_op_by_name(op_name) Return the op named op_name. Args:

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

tf.contrib.graph_editor.detach_control_outputs(sgv, control_outputs) Detach all the external control outputs of the subgraph sgv

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