blob: f2e888942365a093cb2fb6c35226ae0e28d57afe [file] [log] [blame]
Michalis Spyrou6e993b52017-12-18 14:34:53 +00001/*
Usama Arife03802e2019-03-11 12:20:20 +00002 * Copyright (c) 2017-2019 ARM Limited.
Michalis Spyrou6e993b52017-12-18 14:34:53 +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_QUANTIZATION_LAYER_FIXTURE
25#define ARM_COMPUTE_TEST_QUANTIZATION_LAYER_FIXTURE
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{
39template <typename TensorType, typename Function, typename Accessor>
40class QuantizationLayerFixture : public framework::Fixture
41{
42public:
43 template <typename...>
44 void setup(TensorShape shape, DataType data_type)
45 {
Usama Arife03802e2019-03-11 12:20:20 +000046 const QuantizationInfo q_info(0.5f, -10);
47
Michalis Spyrou6e993b52017-12-18 14:34:53 +000048 // Create tensors
49 src = create_tensor<TensorType>(shape, data_type);
Usama Arife03802e2019-03-11 12:20:20 +000050 dst = create_tensor<TensorType>(shape, DataType::QASYMM8, 1, q_info);
Michalis Spyrou6e993b52017-12-18 14:34:53 +000051
52 // Create and configure function
53 quantization_func.configure(&src, &dst);
54
55 // Allocate tensors
56 src.allocator()->allocate();
57 dst.allocator()->allocate();
Michalis Spyrou6e993b52017-12-18 14:34:53 +000058 }
59
60 void run()
61 {
62 quantization_func.run();
63 }
64
Joel Liang1c5ffd62017-12-28 10:09:51 +080065 void sync()
66 {
67 sync_if_necessary<TensorType>();
68 sync_tensor_if_necessary<TensorType>(dst);
69 }
70
Michalis Spyrou6e993b52017-12-18 14:34:53 +000071 void teardown()
72 {
73 src.allocator()->free();
74 dst.allocator()->free();
75 }
76
77private:
78 TensorType src{};
79 TensorType dst{};
80 Function quantization_func{};
81};
82} // namespace benchmark
83} // namespace test
84} // namespace arm_compute
85#endif /* ARM_COMPUTE_TEST_QUANTIZATION_LAYER_FIXTURE */