# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Tests for ExampleParserConfiguration.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from google.protobuf import text_format from tensorflow.core.example import example_parser_configuration_pb2 from tensorflow.python.client import session from tensorflow.python.framework import dtypes from tensorflow.python.ops import array_ops from tensorflow.python.ops import parsing_ops from tensorflow.python.platform import test from tensorflow.python.util.example_parser_configuration import extract_example_parser_configuration EXPECTED_CONFIG_V1 = """ feature_map { key: "x" value { fixed_len_feature { dtype: DT_FLOAT shape { dim { size: 1 } } default_value { dtype: DT_FLOAT tensor_shape { dim { size: 1 } } float_val: 33.0 } values_output_tensor_name: "ParseExample/ParseExample:3" } } } feature_map { key: "y" value { var_len_feature { dtype: DT_STRING values_output_tensor_name: "ParseExample/ParseExample:1" indices_output_tensor_name: "ParseExample/ParseExample:0" shapes_output_tensor_name: "ParseExample/ParseExample:2" } } } """ EXPECTED_CONFIG_V2 = EXPECTED_CONFIG_V1.replace( 'ParseExample/ParseExample:', 'ParseExample/ParseExampleV2:') class ExampleParserConfigurationTest(test.TestCase): def getExpectedConfig(self, op_type): expected = example_parser_configuration_pb2.ExampleParserConfiguration() if op_type == 'ParseExampleV2': text_format.Parse(EXPECTED_CONFIG_V2, expected) else: text_format.Parse(EXPECTED_CONFIG_V1, expected) return expected def testBasic(self): with session.Session() as sess: examples = array_ops.placeholder(dtypes.string, shape=[1]) feature_to_type = { 'x': parsing_ops.FixedLenFeature([1], dtypes.float32, 33.0), 'y': parsing_ops.VarLenFeature(dtypes.string) } result = parsing_ops.parse_example(examples, feature_to_type) parse_example_op = result['x'].op config = extract_example_parser_configuration(parse_example_op, sess) expected = self.getExpectedConfig(parse_example_op.type) self.assertProtoEquals(expected, config) if __name__ == '__main__': test.main()