code: def _make_C(
      in_channels, channels_7x7, 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, 192, 1, None, None),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (in_channels, channels_7x7, 1, None, None),
                  (
                      channels_7x7,
                      channels_7x7,
                      (7, 1, 7),
                      None,
                      (3, 0, 3),
                  ),
                  (channels_7x7, 192, (7, 7, 1), None, (3, 3, 0)),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (in_channels, channels_7x7, 1, None, None),
                  (
                      channels_7x7,
                      channels_7x7,
                      (7, 7, 1),
                      None,
                      (3, 3, 0),
                  ),
                  (
                      channels_7x7,
                      channels_7x7,
                      (7, 1, 7),
                      None,
                      (3, 0, 3),
                  ),
                  (
                      channels_7x7,
                      channels_7x7,
                      (7, 7, 1),
                      None,
                      (3, 3, 0),
                  ),
                  (channels_7x7, 192, (7, 1, 7), None, (3, 0, 3)),
              )
          )
          out.add(
              _make_branch(
                  "avg",
                  norm_layer,
                  norm_kwargs,
                  (in_channels, 192, 1, None, None),
              )
          )
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/action_recognition/i3d_inceptionv3.py
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.inception import inception_v3
label_desc: Use image node_id 5 for calling a global function with example usage: _make_C(in_channels, channels_7x7, prefix, norm_layer, norm_kwargs) and returns: out