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

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

tf.contrib.graph_editor.make_list_of_op(ops, check_graph=True, allow_graph=True, ignore_ts=False) Convert ops to a list of tf

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

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.

2025-01-10 15:47:30
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

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

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

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

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

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

tf.contrib.graph_editor.get_within_boundary_ops(ops, seed_ops, boundary_ops=(), inclusive=True, control_inputs=False, control_outputs=None, control_ios=None)

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

tf.contrib.graph_editor.copy_with_input_replacements(sgv, replacement_ts, dst_graph=None, dst_scope='', src_scope='', reuse_dst_scope=False)

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

tf.contrib.graph_editor.get_walks_intersection_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False

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

tf.contrib.graph_editor.ControlOutputs.get_all()

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