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_CONVOLUTION_LAYER_DATASET
25 #define ARM_COMPUTE_TEST_VGG16_CONVOLUTION_LAYER_DATASET
26 
27 #include "tests/datasets/ConvolutionLayerDataset.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 VGG16ConvolutionLayerDataset final : public ConvolutionLayerDataset
41 {
42 public:
VGG16ConvolutionLayerDataset()43     VGG16ConvolutionLayerDataset()
44     {
45         // conv1_1
46         add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
47         // conv1_2
48         add_config(TensorShape(224U, 224U, 64U), TensorShape(3U, 3U, 64U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
49         // conv2_1
50         add_config(TensorShape(112U, 112U, 64U), TensorShape(3U, 3U, 64U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
51         // conv2_2
52         add_config(TensorShape(112U, 112U, 128U), TensorShape(3U, 3U, 128U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
53         // conv3_1
54         add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
55         // conv3_2, conv3_3
56         add_config(TensorShape(56U, 56U, 256U), TensorShape(3U, 3U, 256U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
57         // conv4_1
58         add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
59         // conv4_2, conv4_3
60         add_config(TensorShape(28U, 28U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
61         // conv5_1, conv5_2, conv5_3
62         add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1, 1));
63     }
64 };
65 
66 class VGG16DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
67 {
68 public:
VGG16DirectConvolutionLayerDataset()69     VGG16DirectConvolutionLayerDataset()
70     {
71         // conv1_1
72         add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
73         // conv1_2
74         add_config(TensorShape(224U, 224U, 64U), TensorShape(3U, 3U, 64U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
75         // conv2_1
76         add_config(TensorShape(112U, 112U, 64U), TensorShape(3U, 3U, 64U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
77         // conv2_2
78         add_config(TensorShape(112U, 112U, 128U), TensorShape(3U, 3U, 128U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
79         // conv3_1
80         add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
81         // conv3_2, conv3_3
82         add_config(TensorShape(56U, 56U, 256U), TensorShape(3U, 3U, 256U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
83         // conv4_1
84         add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
85         // conv4_2, conv4_3
86         add_config(TensorShape(28U, 28U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
87         // conv5_1, conv5_2, conv5_3
88         add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1, 1));
89     }
90 };
91 } // namespace datasets
92 } // namespace test
93 } // namespace arm_compute
94 #endif /* ARM_COMPUTE_TEST_VGG16_CONVOLUTION_LAYER_DATASET */
95