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

tf.contrib.graph_editor.OpMatcher.output_ops(*args) Add output matches.

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

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

tf.contrib.graph_editor.select_ops_and_ts(*args, **kwargs) Helper to select operations and tensors. Args:

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

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

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

tf.contrib.graph_editor.get_ops_ios(ops, control_inputs=False, control_outputs=None, control_ios=None) Return all the tf.Operation

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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.matcher.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

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

tf.contrib.graph_editor.SubGraphView.copy() Return a copy of itself. Note that this class is a

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

tf.contrib.graph_editor.swap_ts(ts0, ts1, can_modify=None, cannot_modify=None) For each tensor's pair, swap the end of (t0,t1)

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