code: def use_esimd_sdp(q_len, head_dim, query_states):
      if head_dim != 128:
          # esimd_sdp only support head_dim = 128 now
          return False
      elif q_len != 1:
          # esimd_sdp only support rest token now
          return False
      elif query_states.device.type != "xpu":
          # esimd_sdp only support GPU now
          return False
      elif query_states.dtype != torch.float16:
          # esimd_sdp only has optimization for FP16 now
          return False
      else:
          device_name = torch.xpu.get_device_name(
              query_states.device.index
          )
          if device_name.startswith(
              "Intel(R) Arc(TM) A"
          ) or device_name.startswith("Intel(R) Data Center GPU Flex"):
              import linear_fp16_esimd
  
              if hasattr(linear_fp16_esimd, "sdp_forward"):
                  return True
              else:
                  return False
          else:
              return False
  
imports: import os
  import torch
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.ggml.quantize import ggml_tensor_qtype
  from bigdl.llm.transformers.utils import get_ipex_version, get_xpu_device_type
label_desc: Use image node_id 16 for calling a global function with example usage: use_esimd_sdp(q_len, head_dim, query_states) and returns: False, False, False, False, False, True, False