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: Args:
      tensor (tf.Tensor): the tensor to wrap
docstr_tok: ["Args",":","tensor","(","tf.Tensor",")",":","the","tensor","to","wrap"]
code: def __init__(self, tensor):
      """
      Args:
          tensor (tf.Tensor): the tensor to wrap
      """
      self._t = tensor
  
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 1 to create a new LinearWrap object from inherited base classes: object with example: obj = LinearWrap(tensor)