code: def matmul(
      A: tensor,
      B: tensor,
      out: tensor = None,
      state: MatmulLtState = None,
      threshold=0.0,
      bias=None,
  ):
      state = state or MatmulLtState()
      if threshold > 0.0:
          state.threshold = threshold
      return MatMul8bitLt.apply(A, B, out, bias, state)
  
imports: import operator
  import warnings
  from dataclasses import dataclass
  from functools import reduce
  from typing import Tuple, Optional, List
  from warnings import warn
  import torch
  import bitsandbytes.functional
label_desc: Use image node_id 7 for calling a global function with example usage: matmul(A, B, out, state, threshold, bias) and returns: MatMul8bitLt