code: def test_tensor_reduce_multi_axis():
      m = te.size_var("m")
      n = te.size_var("n")
      A = te.placeholder((m, n), name="A")
      k1 = te.reduce_axis((0, n), "k")
      k2 = te.reduce_axis((0, m), "k")
      C = te.compute((1,), lambda _: te.sum(A[k1, k2], axis=(k1, k2)))
      C = te.compute((1,), lambda _: te.sum(A[k1, k2], axis=[k1, k2]))
  
imports: import numpy
  import tvm
  import tvm.testing
  from tvm import te
  from tvm.topi.nn.pooling import pool2d
label_desc: Use image node_id 5 for calling a global function with example usage: test_tensor_reduce_multi_axis() without return types