class_docstr: A Kears layer which performs parsing and returns a single tensor.
class_docstr_tok: ["A","Kears","layer","which","performs","parsing","and","returns","a","single","tensor","."]
code: def call(self, serialized_example):
      parsed = tf.io.parse_example(
          serialized_example,
          {
              self._feature_key: tf.io.FixedLenFeature(
                  shape=[], dtype=tf.int64
              )
          },
      )
      return parsed[self._feature_key]
  
imports: import os
  import tempfile
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import model_eval_lib
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.extractors import counterfactual_predictions_extractor
  from tensorflow_model_analysis.extractors import features_extractor
  from tensorflow_model_analysis.proto import config_pb2
  from tfx_bsl.tfxio import tensor_adapter
  from tfx_bsl.tfxio import test_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 2 for calling the IdentityParsingLayer obj's underlying member method code with example usage: obj.call(serialized_example) and returns: parsed