class_docstr: This class serves as an `input_fn` for the `tf.estimator` framework.
class_docstr_tok: ["This","class","serves","as","an","`","input_fn","`","for","the","`","tf.estimator","`","framework","."]
code: def __str__(self):
      return (
          "DeepVariantInput(name={}, input_file_spec={}, num_examples={}, "
          "mode={})"
      ).format(
          self.name, self.input_file_spec, self.num_examples, self.mode
      )
  
imports: import itertools
  from typing import Callable, Optional, Tuple
  from absl import logging
  import ml_collections
  import tensorflow
  from tensorflow import estimator
  from deepvariant import dv_constants
  from deepvariant import dv_utils
  from deepvariant import keras_modeling
  from deepvariant.protos import deepvariant_pb2
  from google.protobuf import text_format
  from third_party.nucleus.io import sharded_file_utils
label_desc: Use image node_id 6 for calling the DeepVariantInput obj's underlying member method code with example usage: obj.__str__() and returns: str