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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""InputSpec tests."""
16
17from __future__ import absolute_import
18from __future__ import division
19from __future__ import print_function
20
21from tensorflow.python.keras.engine import input_spec
22from tensorflow.python.platform import test
23
24
25class InputSpecTest(test.TestCase):
26
27  def test_axes_initialization(self):
28    input_spec.InputSpec(shape=[1, None, 2, 3], axes={3: 5, '2': 2})
29    with self.assertRaisesRegex(ValueError, 'Axis 4 is greater than'):
30      input_spec.InputSpec(shape=[1, None, 2, 3], axes={4: 5})
31    with self.assertRaisesRegex(TypeError, 'keys in axes must be integers'):
32      input_spec.InputSpec(shape=[1, None, 2, 3], axes={'string': 5})
33
34
35class InputSpecToTensorShapeTest(test.TestCase):
36
37  def test_defined_shape(self):
38    spec = input_spec.InputSpec(shape=[1, None, 2, 3])
39    self.assertAllEqual(
40        [1, None, 2, 3], input_spec.to_tensor_shape(spec).as_list())
41
42  def test_defined_ndims(self):
43    spec = input_spec.InputSpec(ndim=5)
44    self.assertAllEqual(
45        [None] * 5, input_spec.to_tensor_shape(spec).as_list())
46
47    spec = input_spec.InputSpec(ndim=0)
48    self.assertAllEqual(
49        [], input_spec.to_tensor_shape(spec).as_list())
50
51    spec = input_spec.InputSpec(ndim=3, axes={1: 3, -1: 2})
52    self.assertAllEqual(
53        [None, 3, 2], input_spec.to_tensor_shape(spec).as_list())
54
55  def test_undefined_shapes(self):
56    spec = input_spec.InputSpec(max_ndim=5)
57    with self.assertRaisesRegex(ValueError, 'unknown TensorShape'):
58      input_spec.to_tensor_shape(spec).as_list()
59
60    spec = input_spec.InputSpec(min_ndim=5, max_ndim=5)
61    with self.assertRaisesRegex(ValueError, 'unknown TensorShape'):
62      input_spec.to_tensor_shape(spec).as_list()
63
64
65if __name__ == '__main__':
66  test.main()
67