code: def multi_level_tiling_tensor_core(
      *,
      read_reuse_scope="shared",
      write_reuse_scope="shared",
      in_dtype="float16",
      out_dtype="float32",
      trans_b=False,
      use_software_pipeline=False,
  ) -> ms.schedule_rule.ScheduleRule:
      assert read_reuse_scope in ["shared", "shared.dyn"]
      assert write_reuse_scope in ["shared", "shared.dyn", "global"]
      if not isinstance(in_dtype, list):
          in_dtype = [in_dtype]
      if not isinstance(out_dtype, list):
          out_dtype = [out_dtype]
      if not isinstance(trans_b, list):
          trans_b = [trans_b]
      return ms.schedule_rule.MultiLevelTilingTensorCore(
          intrin_groups=[
              get_wmma_intrin_group(
                  read_reuse_scope,
                  write_reuse_scope,
                  _in_dtype,
                  _out_dtype,
                  _trans_b,
              )
              for _in_dtype in in_dtype
              for _out_dtype in out_dtype
              for _trans_b in trans_b
          ],
          structure="SSSRRSRS",
          tile_binds=["blockIdx.y", "blockIdx.x", "threadIdx.y"],
          max_innermost_factor=4,  # 64 // tensor intrin size
          vector_load_lens=[1, 2, 3, 4, 8, 16],
          reuse_read=ms.schedule_rule.ReuseType(
              req="must",
              levels=[4],
              scope=read_reuse_scope,
          ),
          reuse_write=ms.schedule_rule.ReuseType(
              req="must"
              if write_reuse_scope.startswith("shared")
              else "no",
              levels=[2],
              scope=write_reuse_scope,
          ),
          use_software_pipeline=use_software_pipeline,
      )
  
file_path: tvm/tests/python/meta_schedule/test_meta_schedule_schedule_rule_mlt_tc.py
imports: import pytest
  import tvm
  import tvm.testing
  from tvm import meta_schedule
  from tvm import te
  from tvm.meta_schedule.testing import te_workload
  from tvm.meta_schedule.testing.space_generation import check_sketches, generate_design_space, get_rules, print_sketches
  from tvm.script import tir
  from tvm.tir.tensor_intrin.cuda import get_wmma_intrin_group
label_desc: Use image node_id 1 for calling a global function with example usage: multi_level_tiling_tensor_core() and returns: ms