code: def __init__(self, dtype):
      self.dtype = dtype
      x = theano.scalar.Scalar(dtype=dtype).make_variable()
      mean = theano.scalar.Scalar(dtype=dtype).make_variable()
      std = theano.scalar.Scalar(dtype=dtype).make_variable()
      gamma = theano.scalar.Scalar(dtype=dtype).make_variable()
      beta = theano.scalar.Scalar(dtype=dtype).make_variable()
      o = add(mul(true_div(sub(x, mean), std), gamma), beta)
      inputs = [x, mean, std, gamma, beta]
      outputs = [o]
      super(BNComposite, self).__init__(inputs, outputs)
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import theano
  from theano import Apply, Op
  from theano.gof import local_optimizer
  from theano.gof.opt import copy_stack_trace
  from theano.tensor import as_tensor_variable, TensorType
  from theano.tensor import basic
  from theano.tensor.opt import register_specialize_device
  from theano.scalar import Composite, as_common_dtype
  from theano.scalar import add, sub, true_div, mul
label_desc: Use image node_id 1 to create a new BNComposite object from inherited base classes: Composite with example: obj = BNComposite(dtype)