code: def multicrop_collate_fn(samples):
      """Multi-crop collate function for VISSL integration.
  
      Run custom collate on a single key since VISSL transforms affect only DataKeys.INPUT
  
      """
      result = vissl_collate_helper(samples)
  
      inputs = [[] for _ in range(len(samples[0][DataKeys.INPUT]))]
      for batch_ele in samples:
          multi_crop_imgs = batch_ele[DataKeys.INPUT]
  
          for idx, crop in enumerate(multi_crop_imgs):
              inputs[idx].append(crop)
  
      for idx, ele in enumerate(inputs):
          inputs[idx] = torch.stack(ele)
  
      result[DataKeys.INPUT] = inputs
  
      return result
  
imports: import torch
  from flash.core.data.io.input import DataKeys
label_desc: Use image node_id 2 for calling a global function with example usage: multicrop_collate_fn(samples) and returns: result