code: def test_compile_placeholder_bypass():
      te_compiler = relay.backend.te_compiler.get()
      x = relay.var("x", shape=(2, 3))
      y = relay.var("y", shape=(2, 3))
      z = relay.var("z", shape=(2, 3))
      result = relay.Tuple([x, relay.op.concatenate([y, z], axis=0)])
      func = relay.Function(relay.analysis.free_vars(result), result)
      with tvm.transform.PassContext(opt_level=0):
          graph, lib, params = relay.build(
              tvm.IRModule.from_expr(func), "llvm"
          )
  
imports: import numpy
  import tvm
  from tvm import te
  import tvm.testing
  from tvm import relay
  from tvm import autotvm
  from tvm import topi
  from tvm.relay.backend import te_compiler
  from tvm.relay.testing import run_infer_type
  from tvm.relay.testing.temp_op_attr import TempOpAttr
label_desc: Use image node_id 12 for calling a global function with example usage: test_compile_placeholder_bypass() without return types