code: def schedule_injective(outs):
      """Schedule for injective op.
  
      Parameters
      ----------
      outs: Array of Tensor
            The computation graph description of injective in the format
            of an array of tensors.
  
      Returns
      -------
      sch: Schedule
          The computation schedule for the op.
      """
      target = tvm.target.Target.current(allow_none=False)
      if target.kind.name != "llvm":
          raise RuntimeError(
              f"schedule_injective not registered for '{target}'"
          )
      outs = [outs] if isinstance(outs, te.tensor.Tensor) else outs
      x = outs[0]
      s = te.create_schedule([x.op for x in outs])
      te.schedule.AutoInlineInjective(s)
      schedule_injective_from_existing(s, x)
      return s
  
imports: from __future__ import absolute_import
  import tvm
  from tvm import te
label_desc: Use image node_id 2 for calling a global function with example usage: schedule_injective(outs) and returns: s