xref: /aosp_15_r20/external/ComputeLibrary/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2017-2018 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_LENET5_POOLING_LAYER_DATASET
25 #define ARM_COMPUTE_TEST_LENET5_POOLING_LAYER_DATASET
26 
27 #include "tests/datasets/PoolingLayerDataset.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 LeNet5PoolingLayerDataset final : public PoolingLayerDataset
41 {
42 public:
LeNet5PoolingLayerDataset()43     LeNet5PoolingLayerDataset()
44     {
45         add_config(TensorShape(24U, 24U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)));
46         add_config(TensorShape(8U, 8U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)));
47     }
48 };
49 } // namespace datasets
50 } // namespace test
51 } // namespace arm_compute
52 #endif /* ARM_COMPUTE_TEST_LENET5_POOLING_LAYER_DATASET */
53