Function placeholder_name

tensorflow/contrib/graph_editor/util.py:413–448

Create placeholder name for the graph editor. Args: t: optional tensor on which the placeholder operation's name will be based on scope: absolute scope with which to prefix the placeholder's name. None means that the scope of t is preserved. "" means the root scope. prefix

(t=None, scope=None, prefix=_DEFAULT_PLACEHOLDER_PREFIX)

def placeholder_name(t=None, scope=None, prefix=_DEFAULT_PLACEHOLDER_PREFIX):
  """Create placeholder name for the graph editor.

  Args:
    t: optional tensor on which the placeholder operation's name will be based
      on
    scope: absolute scope with which to prefix the placeholder's name. None
      means that the scope of t is preserved. "" means the root scope.
    prefix: placeholder name prefix.
  Returns:
    A new placeholder name prefixed by "geph". Note that "geph" stands for
      Graph Editor PlaceHolder. This convention allows to quickly identify the
      placeholder generated by the Graph Editor.
  Raises:
    TypeError: if t is not None or a tf.Tensor.
  """
  if scope is not None:
    scope = scope_finalize(scope)
  if t is not None:
    if not isinstance(t, tf_ops.Tensor):
      raise TypeError("Expected a tf.Tenfor, got: {}".format(type(t)))
    op_dirname = scope_dirname(t.op.name)
    op_basename = scope_basename(t.op.name)
    if scope is None:
      scope = op_dirname

    if op_basename.startswith("{}__".format(prefix)):
      ph_name = op_basename
    else:
      ph_name = "{}__{}_{}".format(prefix, op_basename, t.value_index)

    return scope + ph_name
  else:
    if scope is None:
      scope = ""
    return "{}{}".format(scope, prefix)


def make_placeholder_from_tensor(t, scope=None,