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

tf.contrib.graph_editor.ControlOutputs.get(op) return the control outputs of op.

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

tf.contrib.graph_editor.get_name_scope_ops(ops, scope) Get all the operations under the given scope path.

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

class tf.contrib.graph_editor.ControlOutputs The control outputs topology.

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

tf.contrib.graph_editor.graph_replace(target_ts, replacement_ts, dst_scope='', src_scope='', reuse_dst_scope=False) Create a new

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

class tf.contrib.graph_editor.Transformer Transform a subgraph into another one. By default, the

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

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

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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.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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