class_docstr: The Pytree Loader is the default loader of the Cache object.
class_docstr_tok: ["The","Pytree","Loader","is","the","default","loader","of","the","Cache","object","."]
code: def generate_intervals(self) -> List[Tuple[int, int]]:
      intervals = []
      begin = 0
      end = 0
      for chunk in self._chunks:
          end += chunk["chunk_size"]
          intervals.append((begin, end))
          begin += chunk["chunk_size"]
      return intervals
  
imports: import os
  from abc import ABC, abstractmethod
  from time import sleep
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  import torch
  from lightning.data.streaming.constants import _TORCH_DTYPES_MAPPING, _TORCH_GREATER_EQUAL_2_1_0
  from lightning.data.streaming.serializers import Serializer
label_desc: Use image node_id 2 for calling the PyTreeLoader obj's underlying member method code with example usage: obj.generate_intervals() and returns: intervals