class_docstr: Imagenet dataset split.
code: def from_string(cls, name: str) -> "Split":
      return {
          "TRAIN": Split.TRAIN,
          "TRAIN_AND_VALID": Split.TRAIN_AND_VALID,
          "VALID": Split.VALID,
          "VALIDATION": Split.VALID,
          "TEST": Split.TEST,
      }[name.upper()]
  
file_path: neural-structured-learning/research/meo/mlp_baseline/data_utils.py
imports: import enum
  from typing import Optional, Sequence, Tuple
  import numpy
label_desc: Use image node_id 1 for calling the Split obj's underlying member method code with example usage: obj.from_string(cls, name) and returns: dict