code: def _load_from_state_dict(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      self.dtype = state_dict[prefix + "dtype"]
      state_dict.pop(prefix + "dtype")
  
      weight = state_dict[prefix + "_packed_weight"]
      state_dict.pop(prefix + "_packed_weight")
      self.set_weight(weight)
  
      super()._load_from_state_dict(
          state_dict,
          prefix,
          local_metadata,
          False,
          missing_keys,
          unexpected_keys,
          error_msgs,
      )
  
imports: import torch
  import torch.nn
  from torch import Tensor
  from torch._jit_internal import Optional, List
  from .utils import _hide_packed_params_repr
  from .utils import _quantize_weight
label_desc: Use image node_id 6 for calling the EmbeddingPackedParams obj's underlying member method code with example usage: obj._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types