code: def __init__(self, block, n_size, num_classes=10, reduction=16):
      super(CifarSEPreActResNet, self).__init__(
          block, n_size, num_classes, reduction
      )
      self.bn1 = nn.BatchNorm2d(self.inplane)
      self.initialize()
  
imports: import numpy
  import torch
  from torch import nn
  from torch.autograd import Variable
  from torchvision.models import ResNet
  from pytorch2keras.converter import pytorch_to_keras
label_desc: Use image node_id 1 to create a new CifarSEPreActResNet object from inherited base classes: CifarSEResNet with example: obj = CifarSEPreActResNet(block, n_size, num_classes, reduction)