code: def accuracy(logits, y):
      return torch.sum(
          torch.eq(torch.argmax(logits, -1), y).to(torch.float32)
      ) / len(y)
  
file_path: pytorch-lightning/examples/pytorch/hpu/mnist_sample.py
imports: import torch
  from jsonargparse import lazy_instance
  from lightning.pytorch import LightningModule
  from lightning.pytorch.cli import LightningCLI
  from lightning.pytorch.demos.mnist_datamodule import MNISTDataModule
  from lightning_habana import HPUPrecisionPlugin
  from torch.nn import functional
label_desc: Use image node_id 6 for calling the LitClassifier obj's underlying member method code with example usage: obj.accuracy(logits, y) and returns: unknown