code: def test_conv_topk_convert_layout():
      def before():
          x = relay.var("x", shape=(1, 56, 56, 64))
          weight = relay.var("weight", shape=(3, 3, 64, 64))
          y = relay.nn.conv2d(
              x,
              weight,
              channels=64,
              kernel_size=(3, 3),
              padding=(1, 1),
              data_layout="NHWC",
              kernel_layout="HWIO",
          )
          y = relay.topk(y, k=2, axis=2)
          if isinstance(y, relay.expr.TupleWrapper):
              y = y.astuple()
          y = relay.Function(analysis.free_vars(y), y)
          return y
  
      def expected():
          x = relay.var("x", shape=(1, 56, 56, 64))
          weight = relay.var("weight", shape=(3, 3, 64, 64))
          weight = relay.layout_transform(weight, "HWIO", "OIHW")
          x = relay.layout_transform(x, "NHWC", "NCHW")
          y = relay.nn.conv2d(
              x, weight, channels=64, kernel_size=(3, 3), padding=(1, 1)
          )
          y = relay.topk(y, k=2, axis=3).astuple()
          a = relay.TupleGetItem(y, 0)
          b = relay.TupleGetItem(y, 1)
          a = relay.layout_transform(a, "NCHW", "NHWC")
          b = relay.layout_transform(b, "NCHW", "NHWC")
          out = relay.Tuple([a, b])
          return relay.Function(analysis.free_vars(out), out)
  
      a = before()
      a = run_opt_pass(
          a, transform.ConvertLayout({"nn.conv2d": ["NCHW", "default"]})
      )
      b = run_opt_pass(expected(), transform.InferType())
  
      assert tvm.ir.structural_equal(a, b), "Actual = \n" + str(a)
  
imports: import pytest
  import tvm
  from tvm import relay, te
  from tvm.relay import analysis, transform
  from tvm.relay.op import op
  from tvm.relay.op import register_alter_op_layout
  from tvm.relay.quantize._annotate import attach_simulated_quantize, QAnnotateKind
  from tvm.relay.transform.infer_layout_utils import InferCorrectLayoutOutput
label_desc: Use image node_id 32 for calling a global function with example usage: test_conv_topk_convert_layout() and returns: y, relay