class_docstr: A phase that simply relays train and eval datasets.
docstr: Initializes an InputPhase.
  
  Args:
    train_dataset: A `tf.data.Dataset` for training.
    eval_dataset: A `tf.data.Dataset` for evaluation.
code: def __init__(
      self,
      train_dataset: tf.data.Dataset,
      eval_dataset: tf.data.Dataset,
  ):
      """Initializes an InputPhase.
  
      Args:
        train_dataset: A `tf.data.Dataset` for training.
        eval_dataset: A `tf.data.Dataset` for evaluation.
      """
  
      self._train_dataset = train_dataset
      self._eval_dataset = eval_dataset
  
file_path: adanet/adanet/experimental/phases/input_phase.py
imports: from typing import Optional
  from adanet.experimental.phases.phase import DatasetProvider
  from adanet.experimental.phases.phase import Phase
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new InputPhase object from inherited base classes: DatasetProvider with example: obj = InputPhase(train_dataset, eval_dataset)