code: def compute_acc(y_hat, y):
      labels_hat = torch.argmax(y_hat, dim=1)
      acc = torch.sum(y == labels_hat).item() / (len(y) * 1.0)
      return acc
  
file_path: torch-points3d/torch_points3d/metrics/classification_tracker.py
imports: from typing import Dict, Any
  import torch
  import torchnet
  from torch_points3d.metrics.confusion_matrix import ConfusionMatrix
  from torch_points3d.metrics.base_tracker import BaseTracker, meter_value
  from torch_points3d.models import model_interface
label_desc: Use image node_id 4 for calling the ClassificationTracker obj's underlying member method code with example usage: obj.compute_acc(y_hat, y) and returns: acc