code: def __init__(self, model):
      input_size = model.patch_embed.img_size
      patch_size = model.patch_embed.patch_size
      self.h = input_size[0] // patch_size[0]
      self.w = input_size[1] // patch_size[1]
  
file_path: deep-learning-for-image-processing/pytorch_classification/grad_cam/main_vit.py
imports: import os
  import numpy
  import torch
  from PIL import Image
  import matplotlib.pyplot
  from torchvision import transforms
  from utils import GradCAM, show_cam_on_image, center_crop_img
  from vit_model import vit_base_patch16_224
label_desc: Use image node_id 1 to create a new ReshapeTransform object  with example: obj = ReshapeTransform(model)