class_docstr: y_i = x_i
class_docstr_tok: ["y_i","=","x_i"]
code: def __init__(self, input_dim: Optional[int] = None) -> None:
      Linear.__init__(self)
      self.input_dim = input_dim
  
imports: from typing import Collection, Optional, Sequence, Tuple
  import numpy
  import tensorflow
  from check_shapes import check_shape
  from check_shapes import check_shapes, inherit_check_shapes
  from .base import Module, Parameter, TensorType
  from .config import default_float, default_int
label_desc: Use image node_id 1 to create a new Identity object from inherited base classes: Linear, Function with example: obj = Identity(input_dim)