1 /*
2  * Copyright (c) 2017 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #ifndef ARM_COMPUTE_TEST_VGG16_ACTIVATION_LAYER_DATASET
25 #define ARM_COMPUTE_TEST_VGG16_ACTIVATION_LAYER_DATASET
26 
27 #include "tests/framework/datasets/Datasets.h"
28 
29 #include "utils/TypePrinter.h"
30 
31 #include "arm_compute/core/TensorShape.h"
32 #include "arm_compute/core/Types.h"
33 
34 namespace arm_compute
35 {
36 namespace test
37 {
38 namespace datasets
39 {
40 class VGG16ActivationLayerDataset final : public
41     framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
42 {
43 public:
VGG16ActivationLayerDataset()44     VGG16ActivationLayerDataset()
45         : CartesianProductDataset
46     {
47         framework::dataset::make("Shape", { // relu1_1, relu1_2
48             TensorShape(224U, 224U, 64U),
49             // relu2_1, relu2_2
50             TensorShape(112U, 112U, 128U),
51             // relu3_1, relu3_2, relu3_3
52             TensorShape(56U, 56U, 256U),
53             // relu4_1, relu4_2, relu4_3
54             TensorShape(28U, 28U, 512U),
55             // relu5_1, relu5_2, relu5_3
56             TensorShape(14U, 14U, 512U),
57             // relu6, relu7
58             TensorShape(4096U) }),
59         framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
60     }
61     {
62     }
63     VGG16ActivationLayerDataset(VGG16ActivationLayerDataset &&) = default;
64     ~VGG16ActivationLayerDataset()                              = default;
65 };
66 } // namespace datasets
67 } // namespace test
68 } // namespace arm_compute
69 #endif /* ARM_COMPUTE_TEST_VGG16_ACTIVATION_LAYER_DATASET */
70