code: def __init__(
      self,
      opts: argparse.Namespace = None,
      is_distributed: bool = False,
      pred: str = None,
      target: str = None,
  ):
      self.opts = opts
      # We need the default value of device for tests.
      self.device = getattr(opts, "dev.device", "cpu")
      self.is_distributed = is_distributed
      self.pred_key = pred
      self.target_key = target
      self.reset()
  
imports: import abc
  import argparse
  from numbers import Number
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  from torch import Tensor
  from utils import logger
  from utils.tensor_utils import all_gather_list, reduce_tensor_sum, tensor_to_python_float
label_desc: Use image node_id 1 to create a new BaseMetric object from inherited base classes: abc with example: obj = BaseMetric(opts, is_distributed, pred, target)