code: def test_out_of_bounds_tensors_with_zero_shape_op_with_not_zero_shape_llvm():
      n = 64
      A = te.placeholder((n,), name="A")
      scale = te.placeholder((), name="scale")
      k = te.reduce_axis((0, n), name="k")
      C = te.compute(
          (), lambda: te.sum(A[k + k + k] * scale, axis=k), name="C"
      )
      D = te.compute((), lambda: C + 1)
      s = te.create_schedule(D.op)
      stmt = tvm.lower(s, [A, scale, D], simple_mode=True)
  
      # build and invoke the kernel.
      f = tvm.build(s, [A, scale, D], "llvm")
      dev = tvm.cpu(0)
      # launch the kernel.
      a = tvm.nd.array(
          np.random.randint(0, 2, size=(n,)).astype(A.dtype), dev
      )
      sc = tvm.nd.array(
          np.random.randint(0, 2, size=()).astype(scale.dtype), dev
      )
      d = tvm.nd.empty((), D.dtype, dev)
      f(a, sc, d)
      d_np = np.sum(a.numpy()) * sc.numpy() + 1
      tvm.testing.assert_allclose(d.numpy(), d_np)
  
imports: import pytest
  import tvm
  import tvm.testing
  from tvm import te
  import numpy
label_desc: Use image node_id 19 for calling a global function with example usage: test_out_of_bounds_tensors_with_zero_shape_op_with_not_zero_shape_llvm() without return types