code: def conv_1x1_bn(inp, oup, activation):
      return nn.Sequential(
          nn.Conv2d(inp, oup, 1, 1, 0, bias=False),
          nn.BatchNorm2d(oup),
          activation(),
      )
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/backbone/mobilenet.py
imports: from __future__ import absolute_import
  import math
  import torch.nn
  from ..activations import get_activation_block
label_desc: Use image node_id 2 for calling a global function with example usage: conv_1x1_bn(inp, oup, activation) and returns: nn