class_docstr: fp16 matrix multiplication kernel
  dtypes: fp16 x fp16 = fp16
code: def _update_autotune_table():
      TritonMatmul._update_autotune_table(
          __class__.__name__ + "_2d_kernel", __class__._2d_kernel
      )
      TritonMatmul._update_autotune_table(
          __class__.__name__ + "_4d_kernel", __class__._4d_kernel
      )
  
imports: import torch
  import triton
  import os
  from filelock import FileLock
  import deepspeed.ops.transformer.inference.triton.triton_matmul_kernel
  import pickle
  from io import open
  import deepspeed
  from pathlib import Path
  import atexit
label_desc: Use image node_id 11 for calling the Fp16Matmul obj's underlying member method code with example usage: obj._update_autotune_table() without return types