class_docstr: Handler for `FixedLenFeature` values.
  
  `FixedLenFeature` values will be parsed to a list of the corresponding
  dtype.
class_docstr_tok: ["Handler","for","`","FixedLenFeature","`","values",".","`","FixedLenFeature","`","values","will","be","parsed","to","a","list","of","the","corresponding","dtype","."]
code: def __init__(self, name, feature_spec):
      self._name = name
      self._np_dtype = feature_spec.dtype.as_numpy_dtype
      self._value_fn = _make_feature_value_fn(feature_spec.dtype)
      self._rank = len(feature_spec.shape)
      self._size = 1
      for dim in feature_spec.shape:
          self._size *= dim
  
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 _FixedLenFeatureHandler object  with example: obj = _FixedLenFeatureHandler(name, feature_spec)