class_docstr: Handler for `VarLenFeature` values.
  
  `VarLenFeature` values will be parsed as an array of the corresponding dtype.
class_docstr_tok: ["Handler","for","`","VarLenFeature","`","values",".","`","VarLenFeature","`","values","will","be","parsed","as","an","array","of","the","corresponding","dtype","."]
code: def __init__(self, name, dtype):
      self._name = name
      self._np_dtype = dtype.as_numpy_dtype
      self._value_fn = _make_feature_value_fn(dtype)
  
file_path: transform/tensorflow_transform/coders/example_proto_coder.py
imports: import numpy
  import tensorflow
  from tensorflow_transform.tf_metadata import schema_utils
label_desc: Use image node_id 1 to create a new _VarLenFeatureHandler object  with example: obj = _VarLenFeatureHandler(name, dtype)