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SiCong Li3eb263e2017-06-19 15:31:43 +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#include "Globals.h"
SiCong Li3eb263e2017-06-19 15:31:43 +010025#include "NEON/NEAccessor.h"
26#include "PaddingCalculator.h"
27#include "TensorLibrary.h"
28#include "TypePrinter.h"
29#include "Utils.h"
30#include "validation/Datasets.h"
31#include "validation/Reference.h"
32#include "validation/Validation.h"
33#include "validation/ValidationUserConfiguration.h"
34
35#include "arm_compute/core/Helpers.h"
36#include "arm_compute/core/Types.h"
37#include "arm_compute/runtime/NEON/functions/NEGaussian5x5.h"
38#include "arm_compute/runtime/SubTensor.h"
39#include "arm_compute/runtime/Tensor.h"
40#include "arm_compute/runtime/TensorAllocator.h"
41
42#include "boost_wrapper.h"
43
44#include <iostream>
45
46#include <random>
47#include <string>
48
49using namespace arm_compute;
50using namespace arm_compute::test;
51using namespace arm_compute::test::neon;
52using namespace arm_compute::test::validation;
53
54namespace
55{
SiCong Li7a035752017-06-28 15:27:02 +010056constexpr unsigned int filter_size = 5; /** Size of the kernel/filter in number of elements. */
57constexpr BorderSize border_size(filter_size / 2); /** Border size of the kernel/filter around its central element. */
58
SiCong Li3eb263e2017-06-19 15:31:43 +010059/** Compute Neon gaussian5x5 filter.
60 *
61 * @param[in] shape Shape of the input and output tensors.
62 * @param[in] border_mode BorderMode used by the input tensor.
63 * @param[in] constant_border_value Constant to use if @p border_mode == CONSTANT.
64 *
65 * @return Computed output tensor.
66 */
67Tensor compute_gaussian5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value)
68{
69 // Create tensors
Moritz Pflanzer94450f12017-06-30 12:48:43 +010070 Tensor src = create_tensor<Tensor>(shape, DataType::U8);
71 Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
SiCong Li3eb263e2017-06-19 15:31:43 +010072
73 // Create and configure function
74 NEGaussian5x5 gaussian5x5;
75 gaussian5x5.configure(&src, &dst, border_mode, constant_border_value);
76
77 // Allocate tensors
78 src.allocator()->allocate();
79 dst.allocator()->allocate();
80
81 BOOST_TEST(!src.info()->is_resizable());
82 BOOST_TEST(!dst.info()->is_resizable());
83
84 // Fill tensors
85 library->fill_tensor_uniform(NEAccessor(src), 0);
86
87 // Compute function
88 gaussian5x5.run();
89
90 return dst;
91}
92} // namespace
93
94#ifndef DOXYGEN_SKIP_THIS
95BOOST_AUTO_TEST_SUITE(NEON)
96BOOST_AUTO_TEST_SUITE(Gaussian5x5)
97
98BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
99BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * BorderModes(), shape, border_mode)
100{
101 // Create tensors
Moritz Pflanzer94450f12017-06-30 12:48:43 +0100102 Tensor src = create_tensor<Tensor>(shape, DataType::U8);
103 Tensor dst = create_tensor<Tensor>(shape, DataType::U8);
SiCong Li3eb263e2017-06-19 15:31:43 +0100104
105 BOOST_TEST(src.info()->is_resizable());
106 BOOST_TEST(dst.info()->is_resizable());
107
108 // Create and configure function
109 NEGaussian5x5 gaussian5x5;
110 gaussian5x5.configure(&src, &dst, border_mode);
111
112 // Validate valid region
113 const ValidRegion src_valid_region = shape_to_valid_region(shape);
SiCong Li7a035752017-06-28 15:27:02 +0100114 const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size);
SiCong Li3eb263e2017-06-19 15:31:43 +0100115 validate(src.info()->valid_region(), src_valid_region);
116 validate(dst.info()->valid_region(), dst_valid_region);
117
118 // Validate padding
119 PaddingCalculator calculator(shape.x(), 16);
120 calculator.set_border_size(2);
121 calculator.set_border_mode(border_mode);
122
123 const PaddingSize dst_padding = calculator.required_padding();
124
125 calculator.set_processed_elements(8);
126 calculator.set_access_offset(-2);
127
128 const PaddingSize src_padding = calculator.required_padding();
129
130 validate(src.info()->padding(), src_padding);
131 validate(dst.info()->padding(), dst_padding);
132}
133
134BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
135BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * BorderModes(), shape, border_mode)
136{
137 std::mt19937 gen(user_config.seed.get());
138 std::uniform_int_distribution<uint8_t> distribution(0, 255);
139 const uint8_t border_value = distribution(gen);
140
141 // Compute function
142 Tensor dst = compute_gaussian5x5(shape, border_mode, border_value);
143
144 // Compute reference
145 RawTensor ref_dst = Reference::compute_reference_gaussian5x5(shape, border_mode, border_value);
146
147 // Validate output
SiCong Li7a035752017-06-28 15:27:02 +0100148 validate(NEAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size));
SiCong Li3eb263e2017-06-19 15:31:43 +0100149}
150
151BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
152BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * BorderModes(), shape, border_mode)
153{
154 std::mt19937 gen(user_config.seed.get());
155 std::uniform_int_distribution<uint8_t> distribution(0, 255);
156 const uint8_t border_value = distribution(gen);
157
158 // Compute function
159 Tensor dst = compute_gaussian5x5(shape, border_mode, border_value);
160
161 // Compute reference
162 RawTensor ref_dst = Reference::compute_reference_gaussian5x5(shape, border_mode, border_value);
163
164 // Validate output
SiCong Li7a035752017-06-28 15:27:02 +0100165 validate(NEAccessor(dst), ref_dst, shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, border_size));
SiCong Li3eb263e2017-06-19 15:31:43 +0100166}
167
168BOOST_AUTO_TEST_SUITE_END()
169BOOST_AUTO_TEST_SUITE_END()
Anthony Barbierac69aa12017-07-03 17:39:37 +0100170#endif /* DOXYGEN_SKIP_THIS */