code: def _make_fire_conv(channels, kernel_size, padding=0):
      out = nn.HybridSequential(prefix="")
      out.add(nn.Conv2D(channels, kernel_size, padding=padding))
      out.add(nn.Activation("relu"))
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/squeezenet.py
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.contrib.nn import HybridConcurrent
label_desc: Use image node_id 2 for calling a global function with example usage: _make_fire_conv(channels, kernel_size, padding) and returns: out