code: def _make_E():
      out = nn.HybridConcatenate(axis=1)
      out.add(_make_branch(None, (320, 1, None, None)))
  
      branch_3x3 = nn.HybridSequential()
      out.add(branch_3x3)
      branch_3x3.add(_make_branch(None, (384, 1, None, None)))
      branch_3x3_split = nn.HybridConcatenate(axis=1)
      branch_3x3_split.add(
          _make_branch(None, (384, (1, 3), None, (0, 1)))
      )
      branch_3x3_split.add(
          _make_branch(None, (384, (3, 1), None, (1, 0)))
      )
      branch_3x3.add(branch_3x3_split)
  
      branch_3x3dbl = nn.HybridSequential()
      out.add(branch_3x3dbl)
      branch_3x3dbl.add(
          _make_branch(None, (448, 1, None, None), (384, 3, None, 1))
      )
      branch_3x3dbl_split = nn.HybridConcatenate(axis=1)
      branch_3x3dbl.add(branch_3x3dbl_split)
      branch_3x3dbl_split.add(
          _make_branch(None, (384, (1, 3), None, (0, 1)))
      )
      branch_3x3dbl_split.add(
          _make_branch(None, (384, (3, 1), None, (1, 0)))
      )
  
      out.add(_make_branch("avg", (192, 1, None, None)))
      return out
  
file_path: mxnet/python/mxnet/gluon/model_zoo/vision/inception.py
imports: import os
  from ....device import cpu
  from ...block import HybridBlock
  from ...None import nn
  from ....None import base
  from ....util import use_np, wrap_ctx_to_device_func
label_desc: Use image node_id 7 for calling a global function with example usage: _make_E() and returns: out