code: def schedule_dense_large_batch(cfg, outs):
      """Schedule float32/64 dense with large batch size"""
      outs = [outs] if isinstance(outs, te.tensor.Tensor) else outs
      s = te.create_schedule([x.op for x in outs])
  
      def _callback(op):
          if op.tag == "dense":
              _schedule_dense_large_batch(cfg, s, op.output(0))
  
      traverse_inline(s, outs[0].op, _callback)
      return s
  
file_path: tvm/python/tvm/topi/gpu/dense.py
imports: import logging
  from tvm import autotvm, te
  from tvm.autotvm.task.space import SplitEntity
  from ..None import nn
  from ..utils import traverse_inline, get_const_tuple
label_desc: Use image node_id 7 for calling a global function with example usage: schedule_dense_large_batch(cfg, outs) and returns: s