STT-tensorflow/tensorflow/python/util/example_parser_configuration_test.py
Edward Loper 86c4003851 Updated tf.io.parse_example and tf.io.parse_single_example to support ragged features.
* Added tf.io.RaggedFeature
* Updated tf.io.parse_example and tf.io.parse_single_example to accept RaggedFeature.

PiperOrigin-RevId: 270024281
2019-09-19 06:18:14 -07:00

99 lines
3.0 KiB
Python

# 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()