class_docstr: Transformation which skip the decoding entirelly.
  
  Example of usage:
  
  ```python
  ds = tfds.load(
      'imagenet2012',
      split='train',
      decoders={
          'image': tfds.decode.SkipDecoding(),
      }
  )
  
  for ex in ds.take(1):
    assert ex['image'].dtype == tf.string
  ```
docstr: Forward the serialized feature field.
docstr_tok: ["Forward","the","serialized","feature","field","."]
code: def decode_example_np(self, serialized_example):
      """Forward the serialized feature field."""
      return serialized_example
  
imports: import abc
  import functools
  from tensorflow_datasets.core.utils import tree_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 3 for calling the SkipDecoding obj's underlying member method code with example usage: obj.decode_example_np(serialized_example) and returns: serialized_example