code: def conv_output_size(image_size, kernel_size, stride, padding):
      return int(
          ((image_size - kernel_size + (2 * padding)) / stride) + 1
      )
  
file_path: vit-pytorch/vit_pytorch/t2t.py
imports: import math
  import torch
  from torch import nn
  from vit_pytorch.vit import Transformer
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 2 for calling a global function with example usage: conv_output_size(image_size, kernel_size, stride, padding) and returns: int