code: def fixed_batch_process(im_data, model):
      batch_size = 512
      out = []
      for i in range(0, len(im_data), batch_size):
          batch = im_data[i : (i + batch_size)]
          out.append(model(batch))
  
      return tuple(torch.cat(v, dim=0) for v in zip(*out))
  
imports: import torch
  from torch.nn.functional import interpolate
  from torchvision.transforms import functional
  from torchvision.ops.boxes import batched_nms
  from PIL import Image
  import numpy
  import os
  import math
label_desc: Use image node_id 1 for calling a global function with example usage: fixed_batch_process(im_data, model) and returns: tuple