docstr: The memory type for train data storage. Either 'DRAM', 'PMEM', or 'DISK_n'.
  The default value is 'DRAM', you can change it to 'PMEM' if have AEP hardware.
  If you give 'DISK_n', in which 'n' is an integer, we will cache the data into disk,
  and hold only `1/n` of the data in memory. After going through the `1/n`,
  we will release the current cache, and load another `1/n` into memory.
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code: def train_data_store(cls):
      """
      The memory type for train data storage. Either 'DRAM', 'PMEM', or 'DISK_n'.
      The default value is 'DRAM', you can change it to 'PMEM' if have AEP hardware.
      If you give 'DISK_n', in which 'n' is an integer, we will cache the data into disk,
      and hold only `1/n` of the data in memory. After going through the `1/n`,
      we will release the current cache, and load another `1/n` into memory.
      """
      return cls._train_data_store
  
imports: import os
  from zoo import ZooContext
label_desc: Use image node_id 9 for calling the OrcaContextMeta obj's underlying member method code with example usage: obj.train_data_store(cls) and returns: cls