code: def tree_unflatten(cls, kwargs, values):
      fwd_mask_info, dq_mask_info, dkv_mask_info = values
      # NamedTuples are not preserved during pytree serialization.
      dq_mask_info = (
          mask_info_lib.MaskInfo(*dq_mask_info)
          if dq_mask_info is not None
          else None
      )
      dkv_mask_info = (
          mask_info_lib.MaskInfo(*dkv_mask_info)
          if dkv_mask_info is not None
          else None
      )
      return SplashAttentionKernel(
          mask_info_lib.MaskInfo(*fwd_mask_info),
          dq_mask_info,
          dkv_mask_info,
          **kwargs,
      )
  
imports: from __future__ import annotations
  import dataclasses
  import enum
  import functools
  from typing import Any, Callable, Literal, NamedTuple, Union, Optional, overload
  import jax
  from jax import ad_checkpoint
  from jax import lax
  from jax import tree_util
  from jax.experimental import pallas
  from jax.experimental.pallas import tpu
  from jax.experimental.pallas.ops.tpu.splash_attention import splash_attention_mask
  from jax.experimental.pallas.ops.tpu.splash_attention import splash_attention_mask_info
  import jax.numpy
  import numpy
label_desc: Use image node_id 5 for calling the SplashAttentionKernel obj's underlying member method code with example usage: obj.tree_unflatten(cls, kwargs, values) and returns: SplashAttentionKernel