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 __init__(self, feature_key):
      self._feature_key = feature_key
      super(IdentityParsingLayer, self).__init__(trainable=False)
  
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 1 to create a new IdentityParsingLayer object from inherited base classes: tf.keras.layers with example: obj = IdentityParsingLayer(feature_key)