class_docstr: A simple wrapper to easily create "linear" graph,
  consisting of layers / symbolic functions with only one input & output.
class_docstr_tok: ["A","simple","wrapper","to","easily","create","``","linear","''","graph",",","consisting","of","layers","\/","symbolic","functions","with","only","one","input","&","output","."]
docstr: Returns:
      tf.Tensor: the underlying wrapped tensor.
docstr_tok: ["Returns",":","tf.Tensor",":","the","underlying","wrapped","tensor","."]
code: def __call__(self):
      """
      Returns:
          tf.Tensor: the underlying wrapped tensor.
      """
      return self._t
  
file_path: tensorpack/tensorpack/models/linearwrap.py
imports: from types import ModuleType
  import six
  from .registry import get_registered_layer
label_desc: Use image node_id 5 for calling the LinearWrap obj's underlying member method code with example usage: obj.__call__() and returns: self