code: def schedule_dense(outs):
      """Schedule for dense op.
  
      Parameters
      ----------
      outs: Array of Tensor
          The computation graph description of dense in the format
          of an array of tensors.
  
      Returns
      -------
      sch: Schedule
          The computation schedule for the op.
      """
      outs = [outs] if isinstance(outs, tvm.te.tensor.Tensor) else outs
      s = tvm.te.create_schedule([x.op for x in outs])
      tvm.te.schedule.AutoInlineInjective(s)
      return s
  
file_path: tvm/python/tvm/topi/hexagon/dense.py
imports: import tvm
  from tvm.topi.utils import traverse_inline
  from tvm import te
  from ..None import tag
  from .tensor_intrin import dot_vrmpy
label_desc: Use image node_id 1 for calling a global function with example usage: schedule_dense(outs) and returns: s