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

tf.contrib.graph_editor.keep_t_if_possible_handler(info, t) Transform a tensor into itself (identity) if possible.

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

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

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tf.contrib.graph_editor.reroute_b2a_ts()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.reroute_b2a_ts(ts0, ts1, can_modify=None, cannot_modify=None) For each tensor's pair, replace the end

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

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.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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