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# Copyright 2017 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 predictor.predictor_factories."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.predictor import predictor_factories
from tensorflow.contrib.predictor import testing_common
from tensorflow.python.platform import test
MODEL_DIR_NAME = 'contrib/predictor/test_export_dir'
class PredictorFactoriesTest(test.TestCase):
@classmethod
def setUpClass(cls):
# Load a saved model exported from the arithmetic `Estimator`.
# See `testing_common.py`.
cls._export_dir = test.test_src_dir_path(MODEL_DIR_NAME)
def testFromSavedModel(self):
"""Test loading from_saved_model."""
predictor_factories.from_saved_model(self._export_dir)
def testFromSavedModelWithTags(self):
"""Test loading from_saved_model with tags."""
predictor_factories.from_saved_model(self._export_dir, tags='serve')
def testFromSavedModelWithBadTags(self):
"""Test that loading fails for bad tags."""
bad_tags_regex = ('.*? could not be found in SavedModel')
with self.assertRaisesRegexp(RuntimeError, bad_tags_regex):
predictor_factories.from_saved_model(self._export_dir, tags='bad_tag')
def testFromContribEstimator(self):
estimator = testing_common.get_arithmetic_estimator(core=False)
input_fn = testing_common.get_arithmetic_input_fn(core=False)
predictor_factories.from_contrib_estimator(estimator, input_fn,
output_alternative_key='sum')
def testFromContribEstimatorWithCoreEstimatorRaises(self):
estimator = testing_common.get_arithmetic_estimator(core=True)
input_fn = testing_common.get_arithmetic_input_fn(core=True)
with self.assertRaises(TypeError):
predictor_factories.from_contrib_estimator(estimator, input_fn)
def testFromCoreEstimator(self):
estimator = testing_common.get_arithmetic_estimator(core=True)
input_fn = testing_common.get_arithmetic_input_fn(core=True)
predictor_factories.from_estimator(estimator, input_fn)
def testFromCoreEstimatorWithContribEstimatorRaises(self):
estimator = testing_common.get_arithmetic_estimator(core=False)
input_fn = testing_common.get_arithmetic_input_fn(core=False)
with self.assertRaises(TypeError):
predictor_factories.from_estimator(estimator, input_fn)
if __name__ == '__main__':
test.main()
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