class_docstr: Base class for any neural network
class_docstr_tok: ["Base","class","for","any","neural","network"]
docstr: Initialize model weights
docstr_tok: ["Initialize","model","weights"]
code: def reset_parameters(self, opts: argparse.Namespace) -> None:
      """Initialize model weights"""
      initialize_weights(opts=opts, modules=self.modules())
  
imports: from __future__ import annotations
  import argparse
  import traceback
  from typing import Any, Dict, List, Mapping, Optional, Tuple
  import torch
  from torch import nn
  from cvnets.layers import norm_layers_tuple
  from cvnets.misc.common import get_tensor_sizes, parameter_list
  from cvnets.misc.init_utils import initialize_weights
  from options.parse_args import JsonValidator
  from utils import logger
  from utils.common_utils import check_frozen_norm_layer
  from utils.ddp_utils import is_master
label_desc: Use image node_id 3 for calling the BaseAnyNNModel obj's underlying member method code with example usage: obj.reset_parameters(opts) without return types