code: def move_layer_to_device(self, state_dict):
      for param_name, param in state_dict.items():
          set_module_tensor_to_device_with_cache(
              self.model,
              param_name,
              self.device,
              value=param,
              dtype=param.dtype,
              cache_dict=self.layer_weight_cache,
              max_cache_num=self.max_cache_num,
          )
  
imports: import argparse
  import gc
  import os
  import time
  import warnings
  from typing import Dict, List, Optional, Union
  import torch
  import torch.nn
  from accelerate import init_empty_weights
  from safetensors.torch import load_file, save_file
  from tqdm.auto import tqdm
  from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
  from transformers.generation import GenerationMixin
  from transformers.modeling_outputs import CausalLMOutputWithPast
  from bigdl.llm import optimize_model
  from bigdl.llm.transformers.low_bit_linear import FP4Params, LowBitLinear
label_desc: Use image node_id 7 for calling the LowMemoryLlama obj's underlying member method code with example usage: obj.move_layer_to_device(state_dict) without return types