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

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

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

tf.contrib.graph_editor.op_type(op_types, op=None) Check if an op is of the given type. Args:

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

tf.contrib.graph_editor.transform_op_in_place(info, op, detach_outputs=False) Transform a op in-place - experimental!

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

tf.contrib.graph_editor.get_generating_ops(ts) Return all the generating ops of the tensors in ts. Args:

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

tf.contrib.graph_editor.detach(sgv, control_inputs=False, control_outputs=None, control_ios=None) Detach both the inputs and the

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

tf.contrib.graph_editor.make_list_of_t(ts, check_graph=True, allow_graph=True, ignore_ops=False) Convert ts to a list of tf.Tensor

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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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