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Michalis Spyrou6d36d442017-12-15 12:15:58 +00001/*
Anthony Barbier72856ab2018-01-11 10:45:24 +00002 * Copyright (c) 2017-2018 ARM Limited.
Michalis Spyrou6d36d442017-12-15 12:15:58 +00003 *
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_FLOORFIXTURE
25#define ARM_COMPUTE_TEST_FLOORFIXTURE
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
29#include "tests/Globals.h"
30#include "tests/Utils.h"
31#include "tests/framework/Fixture.h"
32
33namespace arm_compute
34{
35namespace test
36{
37namespace benchmark
38{
39/** Fixture that can be used for NEON and CL */
40template <typename TensorType, typename Function, typename Accessor>
41class L2NormalizeLayerFixture : public framework::Fixture
42{
43public:
44 template <typename...>
45 void setup(TensorShape shape, DataType data_type, unsigned int axis)
46 {
47 // Create tensors
48 src = create_tensor<TensorType>(shape, data_type);
49 dst = create_tensor<TensorType>(shape, data_type);
50
51 // Create and configure function
52 l2norm_func.configure(&src, &dst, axis, 1.f);
53
54 // Allocate tensors
55 src.allocator()->allocate();
56 dst.allocator()->allocate();
Michalis Spyrou6d36d442017-12-15 12:15:58 +000057 }
58
59 void run()
60 {
61 l2norm_func.run();
62 }
63
Joel Liang1c5ffd62017-12-28 10:09:51 +080064 void sync()
65 {
66 sync_if_necessary<TensorType>();
67 sync_tensor_if_necessary<TensorType>(dst);
68 }
69
Michalis Spyrou6d36d442017-12-15 12:15:58 +000070 void teardown()
71 {
72 src.allocator()->free();
73 dst.allocator()->free();
74 }
75
76private:
77 TensorType src{};
78 TensorType dst{};
79 Function l2norm_func{};
80};
81} // namespace benchmark
82} // namespace test
83} // namespace arm_compute
84#endif /* ARM_COMPUTE_TEST_FLOORFIXTURE */