code: def __init__(self, axes=(0,)):
      assert isinstance(axes, (tuple, list))
      assert len(axes) > 0
      axes = tuple(int(a) for a in axes)
      self.axes = axes
  
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 AbstractBatchNormTrainGrad object from inherited base classes: Op with example: obj = AbstractBatchNormTrainGrad(axes)