code: def _load_from_state_dict(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      result = super()._load_from_state_dict(
          state_dict=state_dict,
          prefix=prefix,
          local_metadata=local_metadata,
          strict=False,
          missing_keys=missing_keys,
          unexpected_keys=unexpected_keys,
          error_msgs=error_msgs,
      )
      # The lower_bound and upper_bound buffers are new, and so may not be present in older state dicts
      # Because of this, we won't have strict-mode on when loading this module
      return result
  
imports: from __future__ import annotations
  import math
  from typing import Optional
  import torch
  from torch import sigmoid, Tensor
  from torch.nn import Module
  from ..utils.transforms import _get_inv_param_transform, inv_sigmoid, inv_softplus
label_desc: Use image node_id 3 for calling the Interval 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) and returns: result