class_docstr: This class defines the `MobileNetv2 architecture <https://arxiv.org/abs/1801.04381>`_
code: def add_arguments(
      cls, parser: argparse.ArgumentParser
  ) -> argparse.ArgumentParser:
      group = parser.add_argument_group(title=cls.__name__)
      group.add_argument(
          "--model.classification.mobilenetv2.width-multiplier",
          type=float,
          default=1.0,
          help="Width multiplier for MobileNetv2. Default: 1.0",
      )
      return parser
  
file_path: ml-cvnets/cvnets/models/classification/mobilenetv2.py
imports: import argparse
  from typing import Dict, List, Optional, Tuple
  from torch import nn
  from cvnets.layers import ConvLayer2d, Dropout, GlobalPool, LinearLayer
  from cvnets.models import MODEL_REGISTRY
  from cvnets.models.classification.base_image_encoder import BaseImageEncoder
  from cvnets.models.classification.config.mobilenetv2 import get_configuration
  from cvnets.modules import InvertedResidual
  from utils.math_utils import bound_fn, make_divisible
label_desc: Use image node_id 2 for calling the MobileNetV2 obj's underlying member method code with example usage: obj.add_arguments(cls, parser) and returns: parser