1 /*
2 * Copyright (c) 2018-2021 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 "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NESplit.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28
29 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/SplitDataset.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/SplitFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
TEST_SUITE(Split)44 TEST_SUITE(Split)
45
46 // *INDENT-OFF*
47 // clang-format off
48 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
49 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
50 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid number of splits
51 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32)
52 }),
53 framework::dataset::make("Axis", { 4, 2, 2 })),
54 framework::dataset::make("Splits", { 4, 5, 4 })),
55 framework::dataset::make("Expected", { false, false, true })),
56 input_info, axis, splits, expected)
57 {
58 std::vector<TensorInfo> outputs_info(splits);
59 std::vector<ITensorInfo*> outputs_info_ptr;
60 outputs_info_ptr.reserve(splits);
61 for(auto &output_info : outputs_info)
62 {
63 outputs_info_ptr.emplace_back(&output_info);
64 }
65 const Status status = NESplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis);
66 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
67 }
68
69 DATA_TEST_CASE(ValidateSplitShapes, framework::DatasetMode::ALL, zip(zip(zip(
70 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32),
71 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32)
72 }),
73 framework::dataset::make("Axis", { 2, 2 })),
74 framework::dataset::make("Splits", { std::vector<TensorInfo>{TensorInfo(TensorShape(27U, 3U, 4U, 2U), 1, DataType::F32),
75 TensorInfo(TensorShape(27U, 3U, 4U, 2U), 1, DataType::F32),
76 TensorInfo(TensorShape(27U, 3U, 8U, 2U), 1, DataType::F32)},
77 std::vector<TensorInfo>{TensorInfo(TensorShape(27U, 3U, 3U, 2U), 1, DataType::F32),
78 TensorInfo(TensorShape(27U, 3U, 13U, 2U), 1, DataType::F32)} })),
79 framework::dataset::make("Expected", { true, true })),
80 input_info, axis, splits, expected)
81 {
82 std::vector<ITensorInfo*> outputs_info_ptr;
83
84 for(auto &split : splits)
85 {
86 outputs_info_ptr.emplace_back(const_cast<TensorInfo*>(&split));
87 }
88 const Status status = NESplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis);
89 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
90 }
91 // clang-format on
92 // *INDENT-ON*
93
94 template <typename T>
95 using NESplitFixture = SplitFixture<Tensor, ITensor, Accessor, NESplit, T>;
96
97 template <typename T>
98 using NESplitShapesFixture = SplitShapesFixture<Tensor, ITensor, Accessor, NESplit, T>;
99
100 TEST_SUITE(Float)
101 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)102 TEST_SUITE(FP16)
103 FIXTURE_DATA_TEST_CASE(RunSmall,
104 NESplitFixture<half>,
105 framework::DatasetMode::PRECOMMIT,
106 combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
107 {
108 // Validate outputs
109 for(unsigned int i = 0; i < _target.size(); ++i)
110 {
111 validate(Accessor(_target[i]), _reference[i]);
112 }
113 }
114
115 FIXTURE_DATA_TEST_CASE(RunLarge,
116 NESplitFixture<half>,
117 framework::DatasetMode::NIGHTLY,
118 combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
119 {
120 // Validate outputs
121 for(unsigned int i = 0; i < _target.size(); ++i)
122 {
123 validate(Accessor(_target[i]), _reference[i]);
124 }
125 }
126 TEST_SUITE_END() // FP16
127 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
128
TEST_SUITE(FP32)129 TEST_SUITE(FP32)
130 FIXTURE_DATA_TEST_CASE(RunSmall,
131 NESplitFixture<float>,
132 framework::DatasetMode::PRECOMMIT,
133 combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
134 {
135 // Validate outputs
136 for(unsigned int i = 0; i < _target.size(); ++i)
137 {
138 validate(Accessor(_target[i]), _reference[i]);
139 }
140 }
141
142 FIXTURE_DATA_TEST_CASE(RunLarge,
143 NESplitFixture<float>,
144 framework::DatasetMode::NIGHTLY,
145 combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
146 {
147 // Validate outputs
148 for(unsigned int i = 0; i < _target.size(); ++i)
149 {
150 validate(Accessor(_target[i]), _reference[i]);
151 }
152 }
153
154 FIXTURE_DATA_TEST_CASE(RunSmallSplitShapes,
155 NESplitShapesFixture<float>,
156 framework::DatasetMode::PRECOMMIT,
157 combine(datasets::SmallSplitShapesDataset(), framework::dataset::make("DataType", DataType::F32)))
158 {
159 // Validate outputs
160 for(unsigned int i = 0; i < _target.size(); ++i)
161 {
162 validate(Accessor(_target[i]), _reference[i]);
163 }
164 }
165 TEST_SUITE_END() // FP32
166 TEST_SUITE_END() // Float
167
168 TEST_SUITE_END() // Split
169 TEST_SUITE_END() // Neon
170 } // namespace validation
171 } // namespace test
172 } // namespace arm_compute
173