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# Copyright 2018 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 serialization functions."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import test_util
from tensorflow.python.keras.engine import input_layer
from tensorflow.python.keras.engine import sequential
from tensorflow.python.keras.engine import training
from tensorflow.python.keras.layers import core
from tensorflow.python.platform import test
from tensorflow.python.util import serialization
class SerializationTests(test.TestCase):
def test_serialize_dense(self):
dense = core.Dense(3)
dense(constant_op.constant([[4.]]))
round_trip = json.loads(json.dumps(
dense, default=serialization.get_json_type))
self.assertEqual(3, round_trip["config"]["units"])
def test_serialize_shape(self):
round_trip = json.loads(json.dumps(
tensor_shape.TensorShape([None, 2, 3]),
default=serialization.get_json_type))
self.assertIs(round_trip[0], None)
self.assertEqual(round_trip[1], 2)
@test_util.run_in_graph_and_eager_modes
def test_serialize_sequential(self):
model = sequential.Sequential()
model.add(core.Dense(4))
model.add(core.Dense(5))
model(constant_op.constant([[1.]]))
sequential_round_trip = json.loads(
json.dumps(model, default=serialization.get_json_type))
self.assertEqual(
5, sequential_round_trip["config"]["layers"][1]["config"]["units"])
@test_util.run_in_graph_and_eager_modes
def test_serialize_model(self):
x = input_layer.Input(shape=[3])
y = core.Dense(10)(x)
model = training.Model(x, y)
model(constant_op.constant([[1., 1., 1.]]))
model_round_trip = json.loads(
json.dumps(model, default=serialization.get_json_type))
self.assertEqual(
10, model_round_trip["config"]["layers"][1]["config"]["units"])
if __name__ == "__main__":
test.main()
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