code: def Inception7C(
      data,
      num_1x1,
      num_d7_red,
      num_d7_1,
      num_d7_2,
      num_q7_red,
      num_q7_1,
      num_q7_2,
      num_q7_3,
      num_q7_4,
      pool,
      proj,
      name,
  ):
      tower_1x1 = Conv(
          data=data,
          num_filter=num_1x1,
          kernel=(1, 1),
          name=f"{name}_conv",
      )
      tower_d7 = Conv(
          data=data,
          num_filter=num_d7_red,
          name=f"{name}_tower",
          suffix="_conv",
      )
      tower_d7 = Conv(
          data=tower_d7,
          num_filter=num_d7_1,
          kernel=(1, 7),
          pad=(0, 3),
          name=f"{name}_tower",
          suffix="_conv_1",
      )
      tower_d7 = Conv(
          data=tower_d7,
          num_filter=num_d7_2,
          kernel=(7, 1),
          pad=(3, 0),
          name=f"{name}_tower",
          suffix="_conv_2",
      )
      tower_q7 = Conv(
          data=data,
          num_filter=num_q7_red,
          name=f"{name}_tower_1",
          suffix="_conv",
      )
      tower_q7 = Conv(
          data=tower_q7,
          num_filter=num_q7_1,
          kernel=(7, 1),
          pad=(3, 0),
          name=f"{name}_tower_1",
          suffix="_conv_1",
      )
      tower_q7 = Conv(
          data=tower_q7,
          num_filter=num_q7_2,
          kernel=(1, 7),
          pad=(0, 3),
          name=f"{name}_tower_1",
          suffix="_conv_2",
      )
      tower_q7 = Conv(
          data=tower_q7,
          num_filter=num_q7_3,
          kernel=(7, 1),
          pad=(3, 0),
          name=f"{name}_tower_1",
          suffix="_conv_3",
      )
      tower_q7 = Conv(
          data=tower_q7,
          num_filter=num_q7_4,
          kernel=(1, 7),
          pad=(0, 3),
          name=f"{name}_tower_1",
          suffix="_conv_4",
      )
      pooling = Pooling(
          data=data,
          kernel=(3, 3),
          stride=(1, 1),
          pad=(1, 1),
          pool_type=pool,
          name=f"{pool}_pool_{name}_pool",
      )
      cproj = Conv(
          data=pooling,
          num_filter=proj,
          kernel=(1, 1),
          name=f"{name}_tower_2",
          suffix="_conv",
      )
      # concat
      concat = relay.concatenate(
          (tower_1x1, tower_d7, tower_q7, cproj), axis=1
      )
      return concat
  
file_path: tvm/python/tvm/relay/testing/inception_v3.py
imports: from tvm import relay
  from .init import create_workload
  from .None import layers
label_desc: Use image node_id 5 for calling a global function with example usage: Inception7C(data, num_1x1, num_d7_red, num_d7_1, num_d7_2, num_q7_red, num_q7_1, num_q7_2, num_q7_3, num_q7_4, pool, proj, name) and returns: concat