code: def test_te_compiler():
      tec = relay.backend.te_compiler.get()
  
      def get_func(shape):
          x = relay.var("x", shape=shape)
          y = relay.add(x, x)
          z = relay.add(y, x)
          f = relay.Function([x], z)
          mod = tvm.IRModule.from_expr(f)
          mod = relay.transform.InferType()(mod)
          return mod["main"]
  
      z1 = tec.lower(get_func((10,)), "llvm")
      z2 = tec.lower(get_func((10,)), "llvm")
      z3 = tec.lower(get_func(()), "llvm")
      assert z1.same_as(z2)
      assert not z3.same_as(z1)
      if tvm.testing.device_enabled("cuda"):
          z4 = tec.lower(get_func(()), "cuda")
          assert not z3.same_as(z4)
  
      # Test JIT target
      for target in ["llvm"]:
          dev = tvm.device(target)
          if tvm.testing.device_enabled(target):
              f = tec.jit(get_func((10,)), target)
              x = tvm.nd.array(
                  np.ones(10).astype("float32"), device=dev
              )
              y = tvm.nd.empty((10,), device=dev)
              f(x, y)
              tvm.testing.assert_allclose(y.numpy(), x.numpy() * 3)
  
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 11 for calling a global function with example usage: test_te_compiler() and returns: mod