class_docstr: Base class for multi-modal image-text data
docstr: Reset weights image and text models
docstr_tok: ["Reset","weights","image","and","text","models"]
code: def reset_parameters(self) -> None:
      """Reset weights image and text models"""
      torch.nn.init.constant_(self.logit_scale, math.log(1.0 / 0.07))
  
imports: import argparse
  import math
  from typing import Dict, Optional
  import torch
  from torch import Tensor, nn
  from cvnets.image_projection_layers import build_image_projection_head
  from cvnets.image_projection_layers.base_image_projection import get_in_feature_dimension
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel, get_model
  from cvnets.models.classification.base_image_encoder import BaseImageEncoder
  from cvnets.models.multi_modal_img_text.base_multi_modal_img_text import BaseMultiModalImageText
  from cvnets.text_encoders import BaseTextEncoder, build_text_encoder
  from utils import logger
label_desc: Use image node_id 3 for calling the CLIP obj's underlying member method code with example usage: obj.reset_parameters() without return types