code: def __init__(
      self,
      zero_optimization: Optional[Dict[str, Any]] = None,
      fp16: Optional[Dict[str, Any]] = None,
      bf16: Optional[Dict[str, Any]] = None,
      compression_training: Optional[Dict[str, Any]] = None,
      **kwargs,
  ):
      super().__init__(**kwargs)
      self.zero_optimization = zero_optimization
      self.fp16 = fp16
      self.bf16 = bf16
      self.compression_training = compression_training
  
file_path: ludwig/ludwig/backend/deepspeed.py
imports: from typing import Any, Dict, Optional, Type
  import deepspeed
  from ludwig.backend.base import DataParallelBackend
  from ludwig.constants import FALLBACK_BATCH_SIZE
  from ludwig.distributed import init_dist_strategy
  from ludwig.utils.batch_size_tuner import BatchSizeEvaluator
label_desc: Use image node_id 1 to create a new DeepSpeedBackend object from inherited base classes: DataParallelBackend with example: obj = DeepSpeedBackend(zero_optimization, fp16, bf16, compression_training)