code: def _make_Mixed_5a(
      in_channels, pool_features, prefix, norm_layer, norm_kwargs
  ):
      out = HybridConcurrent(axis=1, prefix=prefix)
      with out.name_scope():
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (in_channels, 256, 1, None, None),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (in_channels, 160, 1, None, None),
                  (160, 320, 3, None, 1),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (in_channels, 32, 1, None, None),
                  (32, 128, 3, None, 1),
              )
          )
          out.add(
              _make_branch(
                  "max",
                  norm_layer,
                  norm_kwargs,
                  (in_channels, pool_features, 1, None, None),
              )
          )
      return out
  
imports: from mxnet import nd
  from mxnet import init
  from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.contrib.nn import HybridConcurrent
  from gluoncv.model_zoo.googlenet import googlenet
label_desc: Use image node_id 10 for calling a global function with example usage: _make_Mixed_5a(in_channels, pool_features, prefix, norm_layer, norm_kwargs) and returns: out