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

tf.contrib.graph_editor.make_view(*args, **kwargs) Create a SubGraphView from selected operations and passthrough tensors.

2025-01-10 15:47:30
tf.contrib.graph_editor.reroute_a2b_ts()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.reroute_a2b_ts(ts0, ts1, can_modify=None, cannot_modify=None) For each tensor's pair, replace the end

2025-01-10 15:47:30
tf.contrib.graph_editor.SubGraphView.connected_outputs
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.connected_outputs The connected output tensors of this subgraph view.

2025-01-10 15:47:30
tf.contrib.graph_editor.SubGraphView.remap_outputs()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.remap_outputs(new_output_indices) Remap the output of the subgraph. If

2025-01-10 15:47:30
tf.contrib.graph_editor.SubGraphView.consumers()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.consumers() Return a Python set of all the consumers of this subgraph view.

2025-01-10 15:47:30
tf.contrib.graph_editor.OpMatcher.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

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

2025-01-10 15:47:30
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.

2025-01-10 15:47:30
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.

2025-01-10 15:47:30
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.

2025-01-10 15:47:30
tf.contrib.graph_editor.get_tensors()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.get_tensors(graph) get all the tensors which are input or output of an op in the graph.

2025-01-10 15:47:30