code: def use_esimd_kernel(self, x):
      gpu_type = get_xpu_device_type(x)
      # esimd kernel can only be used for Arc and Flex
      if gpu_type not in ["arc", "flex"]:
          return False
      # now esimd kernel can only be used for specific cases (llama2-7b shape)
      if self.in_len == 11008 and self.out_features == 4096:
          return True
      if self.in_len == 4096 and self.out_features in [4096, 11008]:
          # seems has some issue with Mistral,
          # need a further look to check whether can be used for other out features
          return True
      return False
  
imports: from typing import Optional, TypeVar, Union, overload
  from bigdl.llm.utils.common import invalidInputError
  import os
  import torch
  import torch.nn.functional
  from torch import Tensor, device, dtype, nn
  from operator import mul
  from functools import reduce
  from bigdl.llm.transformers.xpu_customize_fwd import custom_fwd, custom_bwd
  from bigdl.llm.transformers.utils import get_autocast_dtype, get_xpu_device_type, get_ipex_version
  import bigdl.llm.ggml.model.llama.llama_cpp
  import ctypes
  from bigdl.llm.ggml.quantize import ggml_tensor_qtype
label_desc: Use image node_id 3 for calling the FP16Linear obj's underlying member method code with example usage: obj.use_esimd_kernel(x) and returns: False, False, True, True