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Gian Marco Iodicebf179552017-09-05 13:51:21 +01001/*
Giorgio Arena156fcf32018-03-09 15:30:43 +00002 * Copyright (c) 2017-2018 ARM Limited.
Gian Marco Iodicebf179552017-09-05 13:51:21 +01003 *
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_FLATTEN_LAYER_FIXTURE
25#define ARM_COMPUTE_TEST_FLATTEN_LAYER_FIXTURE
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
29#include "arm_compute/core/Utils.h"
Giorgio Arena156fcf32018-03-09 15:30:43 +000030#include "arm_compute/core/utils/misc/ShapeCalculator.h"
Gian Marco Iodicebf179552017-09-05 13:51:21 +010031#include "arm_compute/runtime/Tensor.h"
32#include "tests/AssetsLibrary.h"
33#include "tests/Globals.h"
34#include "tests/IAccessor.h"
35#include "tests/framework/Asserts.h"
36#include "tests/framework/Fixture.h"
Georgios Pinitas5a7e7762017-12-01 16:27:29 +000037#include "tests/validation/reference/FlattenLayer.h"
Gian Marco Iodicebf179552017-09-05 13:51:21 +010038
39#include <random>
40
41namespace arm_compute
42{
43namespace test
44{
45namespace validation
46{
Giorgio Arena156fcf32018-03-09 15:30:43 +000047using namespace arm_compute::misc::shape_calculator;
48
Gian Marco Iodicebf179552017-09-05 13:51:21 +010049template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
50class FlattenLayerValidationFixture : public framework::Fixture
51{
52public:
53 template <typename...>
54 void setup(TensorShape shape, DataType data_type)
55 {
Giorgio Arena156fcf32018-03-09 15:30:43 +000056 TensorShape shape_flatten;
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +010057 TensorInfo input_info(shape, 1, data_type);
Gian Marco Iodice215b4ea2018-06-28 16:29:29 +010058 shape_flatten = compute_flatten_shape(&input_info);
Giorgio Arena156fcf32018-03-09 15:30:43 +000059
60 _target = compute_target(shape, shape_flatten, data_type);
61 _reference = compute_reference(shape, shape_flatten, data_type);
Gian Marco Iodicebf179552017-09-05 13:51:21 +010062 ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(_target.info()->tensor_shape(), _reference.shape());
63 }
64
65protected:
66 template <typename U>
67 void fill(U &&tensor)
68 {
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +010069 std::uniform_real_distribution<> distribution(-1.f, 1.f);
70 library->fill(tensor, distribution, 0);
Gian Marco Iodicebf179552017-09-05 13:51:21 +010071 }
72
Giorgio Arena156fcf32018-03-09 15:30:43 +000073 TensorType compute_target(const TensorShape &shape, const TensorShape &shape_flatten, DataType data_type)
Gian Marco Iodicebf179552017-09-05 13:51:21 +010074 {
Gian Marco Iodicebf179552017-09-05 13:51:21 +010075 // Create tensors
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +010076 TensorType src = create_tensor<TensorType>(shape, data_type, 1);
77 TensorType dst = create_tensor<TensorType>(shape_flatten, data_type, 1);
Gian Marco Iodicebf179552017-09-05 13:51:21 +010078
79 // Create and configure function
80 FunctionType flatten_layer;
81 flatten_layer.configure(&src, &dst);
82
83 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
84 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
85
86 // Allocate tensors
87 src.allocator()->allocate();
88 dst.allocator()->allocate();
89
90 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
91 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
92
93 // Fill tensors
94 fill(AccessorType(src));
95
96 // Compute function
97 flatten_layer.run();
98
99 return dst;
100 }
101
Giorgio Arena156fcf32018-03-09 15:30:43 +0000102 SimpleTensor<T> compute_reference(const TensorShape &shape, const TensorShape &shape_flatten, DataType data_type)
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100103 {
104 // Create reference
Vidhya Sudhan Loganathan014333d2018-07-02 09:13:49 +0100105 SimpleTensor<T> src{ shape, data_type, 1 };
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100106
107 // Fill reference
108 fill(src);
109
Giorgio Arena156fcf32018-03-09 15:30:43 +0000110 return reference::flatten_layer<T>(src, shape_flatten);
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100111 }
112
113 TensorType _target{};
114 SimpleTensor<T> _reference{};
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100115};
116} // namespace validation
117} // namespace test
118} // namespace arm_compute
119#endif /* ARM_COMPUTE_TEST_FLATTEN_LAYER_FIXTURE */