code: def test_schedule_compute_inline():
      shape = [10, 1024]
      A = te.placeholder(shape, name="A")
      B = te.placeholder(shape, name="B")
      C = te.compute(
          shape, lambda *index: A(*index) + B(*index), name="C"
      )
  
      def _compute(*index):
          return C(*index), C(*index) * B(*index)
  
      F, E = te.compute(shape, _compute, name="F")
  
      s = te.create_schedule([F.op, E.op])
      AL = s.cache_read(A, "local", [C])
      BL = s.cache_read(B, "local", [C, E])
      CL = s.cache_write(C, "local")
      FL, EL = s.cache_write([F, E], "local")
      s[C].compute_inline()
  
      s = s.normalize()
      bounds = tvm.te.schedule.InferBound(s)
      stmt = tvm.te.schedule.ScheduleOps(s, bounds)
  
imports: import numpy
  import tvm
  from tvm import te
  from tvm.driver.build_module import schedule_to_module
label_desc: Use image node_id 26 for calling a global function with example usage: test_schedule_compute_inline() and returns: C,  unknown