1 /*
2 * Copyright (c) 2019-2020 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/NEConcatenateLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/datasets/ShapeDatasets.h"
30 #include "tests/framework/Asserts.h"
31 #include "tests/framework/Macros.h"
32 #include "tests/framework/datasets/Datasets.h"
33 #include "tests/validation/Validation.h"
34 #include "tests/validation/fixtures/ConcatenateLayerFixture.h"
35
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 TEST_SUITE(NEON)
TEST_SUITE(HeightConcatenateLayer)43 TEST_SUITE(HeightConcatenateLayer)
44
45 // *INDENT-OFF*
46 // clang-format off
47 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
48 framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 15U, 5U), 1, DataType::F32), // Mismatching data type input/output
49 TensorInfo(TensorShape(22U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension
50 TensorInfo(TensorShape(11U, 25U, 5U), 1, DataType::F32), // Mismatching total height
51 TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32),
52 TensorInfo(TensorShape(35U, 21U, 5U), 1, DataType::F32)
53
54 }),
55 framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 15U, 4U), 1, DataType::F32),
56 TensorInfo(TensorShape(22U, 127U, 5U), 1, DataType::F32),
57 TensorInfo(TensorShape(11U, 26U, 5U), 1, DataType::F32),
58 TensorInfo(TensorShape(16U, 25U, 5U), 1, DataType::F32),
59 TensorInfo(TensorShape(35U, 10U, 5U), 1, DataType::F32)
60 })),
61 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 30U, 5U), 1, DataType::F16),
62 TensorInfo(TensorShape(22U, 12U, 5U), 1, DataType::F32),
63 TensorInfo(TensorShape(11U, 7U, 5U), 1, DataType::F32),
64 TensorInfo(TensorShape(16U, 50U, 5U), 1, DataType::F32),
65 TensorInfo(TensorShape(35U, 31U, 5U), 1, DataType::F32)
66 })),
67 framework::dataset::make("Expected", { false, false, false, true, true })),
68 input_info1, input_info2, output_info,expected)
69 {
70 std::vector<TensorInfo> inputs_vector_info;
71 inputs_vector_info.emplace_back(std::move(input_info1));
72 inputs_vector_info.emplace_back(std::move(input_info2));
73
74 std::vector<const ITensorInfo *> inputs_vector_info_raw;
75 inputs_vector_info_raw.reserve(inputs_vector_info.size());
76 for(auto &input : inputs_vector_info)
77 {
78 inputs_vector_info_raw.emplace_back(&input);
79 }
80
81 bool is_valid = bool(NEConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(true), 1));
82 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
83 }
84 // clang-format on
85 // *INDENT-ON*
86
87 template <typename T>
88 using NEHeightConcatenateLayerFixture = ConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEConcatenateLayer, T>;
89
90 TEST_SUITE(Float)
TEST_SUITE(FP32)91 TEST_SUITE(FP32)
92 FIXTURE_DATA_TEST_CASE(RunSmall, NEHeightConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
93 framework::dataset::make("DataType",
94 DataType::F32)),
95 framework::dataset::make("Axis", 1)))
96 {
97 // Validate output
98 validate(Accessor(_target), _reference);
99 }
100 FIXTURE_DATA_TEST_CASE(RunLarge, NEHeightConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
101 DataType::F32)),
102 framework::dataset::make("Axis", 1)))
103
104 {
105 // Validate output
106 validate(Accessor(_target), _reference);
107 }
108 TEST_SUITE_END() // FP32
TEST_SUITE_END()109 TEST_SUITE_END() // Float
110
111 TEST_SUITE(Quantized)
112 TEST_SUITE(QASYMM8)
113 FIXTURE_DATA_TEST_CASE(RunSmall, NEHeightConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
114 framework::dataset::make("DataType",
115 DataType::QASYMM8)),
116 framework::dataset::make("Axis", 1)))
117 {
118 // Validate output
119 validate(Accessor(_target), _reference);
120 }
121 TEST_SUITE_END() // QASYMM8
122
TEST_SUITE(QASYMM8_SIGNED)123 TEST_SUITE(QASYMM8_SIGNED)
124 FIXTURE_DATA_TEST_CASE(RunSmall, NEHeightConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
125 framework::dataset::make("DataType",
126 DataType::QASYMM8_SIGNED)),
127 framework::dataset::make("Axis", 1)))
128 {
129 // Validate output
130 validate(Accessor(_target), _reference);
131 }
132 TEST_SUITE_END() // QASYMM8_SIGNED
133 TEST_SUITE_END() // Quantized
134
135 TEST_SUITE_END()
136 TEST_SUITE_END()
137 } // namespace validation
138 } // namespace test
139 } // namespace arm_compute
140