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.
      """
      outs = [outs] if isinstance(outs, te.tensor.Tensor) else outs
      s = te.create_schedule([x.op for x in outs])
  
      tvm.te.schedule.AutoInlineInjective(s)
      for out in outs:
          if not utils.is_empty_shape(out.shape):
              schedule_injective_from_existing(s, out)
      return s
  
imports: import tvm
  from tvm import te
  from .utils import bind_data_copy
  from ..None import utils
label_desc: Use image node_id 2 for calling a global function with example usage: schedule_injective(outs) and returns: s