code: def accuracy(predictions, targets):
      predictions = predictions.argmax(dim=1).view(targets.shape)
      return (predictions == targets).sum().float() / targets.size(0)
  
file_path: pytorch-lightning/examples/fabric/meta_learning/train_torch.py
imports: import os
  import random
  import cherry
  import learn2learn
  import torch
  import torch.distributed
label_desc: Use image node_id 1 for calling a global function with example usage: accuracy(predictions, targets) and returns: unknown