code: def __init__(
      self, kernel_size, affine=True, Linear=BiLinear, use_bn=True
  ):
      super(EmaMaxPool, self).__init__()
      self.kernel_size = kernel_size
      self.bn3 = nn.BatchNorm1d(1024, affine=affine)
      self.use_bn = use_bn
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from basic import BiLinear
  from torch.autograd import Variable
label_desc: Use image node_id 1 to create a new EmaMaxPool object from inherited base classes: nn with example: obj = EmaMaxPool(kernel_size, affine, Linear, use_bn)