code: def _MaybeCaptured(t):
      """If t is a captured value placeholder, returns the original captured value.
  
      Args:
        t: Tensor
  
      Returns:
        A tensor, potentially from a different Graph/FuncGraph.
      """
      # pylint: disable=protected-access
      if (
          not isinstance(t, ops.EagerTensor)
          and _IsFunction(t.op.graph)
          and t.op.type == "Placeholder"
      ):
          for input_t, placeholder_t in _Captures(t.op.graph):
              if t is placeholder_t:
                  return _MaybeCaptured(input_t)
      # pylint: enable=protected-access
      return t
  
imports: import collections
  import contextlib
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python import pywrap_tfe
  from tensorflow.python.eager import backprop_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import composite_tensor_gradient
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import control_flow_state
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import gen_functional_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops.unconnected_gradients import UnconnectedGradients
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import compat
  from tensorflow.python.util import object_identity
  from tensorflow.python.util import variable_utils
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 14 for calling a global function with example usage: _MaybeCaptured(t) and returns: t, _MaybeCaptured