code: def get_conv_net():
      """This gets the net for:
            conv2d
            /  |
           /   |
      conv2d   |
          \    |
           \   |
          elemwise add
               |
               |
               |
             split
               |
               |
               |
          elemwise add
      """
      dshape = (1, 1, 5, 1)
      x = relay.var("x", shape=dshape)
      y = relay.nn.conv2d(
          x,
          relay.var("w1"),
          kernel_size=(3, 3),
          padding=(1, 1),
          channels=1,
      )
      x1 = relay.nn.conv2d(
          y,
          relay.var("w2"),
          kernel_size=(3, 3),
          padding=(1, 1),
          channels=1,
      )
  
      z = relay.add(y, x1)
  
      tuple_out = relay.op.split(z, indices_or_sections=1, axis=0)
  
      tuple_0_add = relay.add(
          tuple_out[0], relay.const(1, dtype="float32")
      )
  
      return tvm.IRModule.from_expr(tuple_0_add)
  
imports: import pytest
  import tvm
  from tvm import relay
label_desc: Use image node_id 1 for calling a global function with example usage: get_conv_net() and returns: tvm