code: def Inception7B(
      data, num_3x3, num_d3x3_red, num_d3x3_1, num_d3x3_2, pool, name
  ):
      tower_3x3 = Conv(
          data,
          num_3x3,
          kernel=(3, 3),
          pad=(0, 0),
          stride=(2, 2),
          name=f"{name}_conv",
      )
      tower_d3x3 = Conv(
          data, num_d3x3_red, name=f"{name}_tower", suffix="_conv"
      )
      tower_d3x3 = Conv(
          tower_d3x3,
          num_d3x3_1,
          kernel=(3, 3),
          pad=(1, 1),
          stride=(1, 1),
          name=f"{name}_tower",
          suffix="_conv_1",
      )
      tower_d3x3 = Conv(
          tower_d3x3,
          num_d3x3_2,
          kernel=(3, 3),
          pad=(0, 0),
          stride=(2, 2),
          name=f"{name}_tower",
          suffix="_conv_2",
      )
      pooling = Pooling(
          data=data,
          kernel=(3, 3),
          stride=(2, 2),
          pad=(0, 0),
          pool_type="max",
          name=f"max_pool_{name}_pool",
      )
      concat = relay.concatenate(
          (tower_3x3, tower_d3x3, pooling), 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 4 for calling a global function with example usage: Inception7B(data, num_3x3, num_d3x3_red, num_d3x3_1, num_d3x3_2, pool, name) and returns: concat