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Moritz Pflanzeree493ae2017-07-05 10:52:21 +01001/*
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_POOLINGLAYERFIXTURE
25#define ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
29#include "framework/Fixture.h"
30#include "tests/Globals.h"
31#include "tests/Utils.h"
32
33namespace arm_compute
34{
35namespace test
36{
37/** Fixture that can be used for NEON and CL */
38template <typename TensorType, typename Function, typename Accessor>
39class PoolingLayerFixture : public framework::Fixture
40{
41public:
42 void setup(TensorShape src_shape, TensorShape dst_shape, PoolingLayerInfo info, DataType data_type, int batches)
43 {
44 // Set batched in source and destination shapes
45 const unsigned int fixed_point_position = 4;
46 src_shape.set(src_shape.num_dimensions(), batches);
47 dst_shape.set(dst_shape.num_dimensions(), batches);
48
49 // Create tensors
50 src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
51 dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
52
53 // Create and configure function
54 pool_layer.configure(&src, &dst, info);
55
56 // Allocate tensors
57 src.allocator()->allocate();
58 dst.allocator()->allocate();
59
60 // Fill tensors
61 library->fill_tensor_uniform(Accessor(src), 0);
62 }
63
64 void run()
65 {
66 pool_layer.run();
67 }
68
69 void teardown()
70 {
71 src.allocator()->free();
72 dst.allocator()->free();
73 }
74
75private:
76 TensorType src{};
77 TensorType dst{};
78 Function pool_layer{};
79};
80} // namespace test
81} // namespace arm_compute
82#endif /* ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE */