code: def conv_1x1_bn(inp, oup):
      return nn.Sequential(
          nn.Conv2d(inp, oup, 1, 1, 0, bias=False),
          nn.BatchNorm2d(oup),
          nn.ReLU6(inplace=True),
      )
  
file_path: pytorch2keras/tests/models/mobilinet.py
imports: import numpy
  import torch
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torch.nn
  import math
label_desc: Use image node_id 2 for calling a global function with example usage: conv_1x1_bn(inp, oup) and returns: nn