code: def schedule_transpose(outs):
      """Schedule a unfused transpose"""
      outs = [outs] if isinstance(outs, te.tensor.Tensor) else outs
      s = te.create_schedule([x.op for x in outs])
      schedule_transpose_from_existing(s, outs[0])
      return s
  
file_path: tvm/python/tvm/topi/cuda/transform.py
imports: import tvm
  from ...None import te
  from ...target import Target
  from ..utils import traverse_inline
label_desc: Use image node_id 1 for calling a global function with example usage: schedule_transpose(outs) and returns: s