code: def te_multi_output():
      n = te.var("n")
      m = te.var("m")
      A0 = te.placeholder((m, n), name="A0")
      A1 = te.placeholder((m, n), name="A1")
      B0, B1 = te.compute(
          (m, n), lambda i, j: (A0[i, j] + 2, A1[i, j] * 3), name="B"
      )
      return [A0, A1, B0, B1]
  
imports: import numpy
  import tvm
  import tvm.testing
  from tvm import te, tir, topi, relay
  from tvm.script import tir
  import pytest
label_desc: Use image node_id 15 for calling a global function with example usage: te_multi_output() and returns: list