code: def get_conv_net():
      """This gets the net for:
            conv2d
            /  |
           /   |
      conv2d   |
          \    |
           \   |
          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)
  
      return tvm.IRModule.from_expr(z)
  
file_path: tvm/tests/python/relay/test_analysis_extract_operators.py
imports: import pytest
  import tvm
  from tvm import relay
  from tvm.relay.testing.resnet import get_workload
  from tvm.relay.testing import run_opt_pass
label_desc: Use image node_id 1 for calling a global function with example usage: get_conv_net() and returns: tvm