1 /*
2 * Copyright (c) 2018-2020 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(WidthConcatenateLayer)43 TEST_SUITE(WidthConcatenateLayer)
44 // *INDENT-OFF*
45 // clang-format off
46 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
47 framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
48 TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension
49 TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width
50 TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
51 TensorInfo(TensorShape(21U, 35U, 5U), 1, DataType::F32)
52 }),
53 framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32),
54 TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
55 TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
56 TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
57 TensorInfo(TensorShape(10U, 35U, 5U), 1, DataType::F32)
58 })),
59 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16),
60 TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32),
61 TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32),
62 TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32),
63 TensorInfo(TensorShape(31U, 35U, 5U), 1, DataType::F32)
64 })),
65 framework::dataset::make("Expected", { false, false, false, true, true })),
66 input_info1, input_info2, output_info,expected)
67 {
68 std::vector<TensorInfo> inputs_vector_info;
69 inputs_vector_info.emplace_back(std::move(input_info1));
70 inputs_vector_info.emplace_back(std::move(input_info2));
71
72 std::vector<const ITensorInfo *> inputs_vector_info_raw;
73 inputs_vector_info_raw.reserve(inputs_vector_info.size());
74 for(auto &input : inputs_vector_info)
75 {
76 inputs_vector_info_raw.emplace_back(&input);
77 }
78
79 bool is_valid = bool(NEConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(true), 0));
80 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
81 }
82 // clang-format on
83 // *INDENT-ON*
84 template <typename T>
85 using NEWidthConcatenateLayerFixture = ConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEConcatenateLayer, T>;
86
87 TEST_SUITE(Float)
TEST_SUITE(FP32)88 TEST_SUITE(FP32)
89 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
90 framework::dataset::make("DataType",
91 DataType::F32)),
92 framework::dataset::make("Axis", 0)))
93
94 {
95 // Validate output
96 validate(Accessor(_target), _reference);
97 }
98 FIXTURE_DATA_TEST_CASE(RunLarge, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
99 DataType::F32)),
100 framework::dataset::make("Axis", 0)))
101
102 {
103 // Validate output
104 validate(Accessor(_target), _reference);
105 }
106 TEST_SUITE_END()
TEST_SUITE_END()107 TEST_SUITE_END()
108
109 TEST_SUITE(Quantized)
110 TEST_SUITE(QASYMM8)
111 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
112 framework::dataset::make("DataType",
113 DataType::QASYMM8)),
114 framework::dataset::make("Axis", 0)))
115
116 {
117 // Validate output
118 validate(Accessor(_target), _reference);
119 }
120 TEST_SUITE_END()
121
TEST_SUITE(QASYMM8_SIGNED)122 TEST_SUITE(QASYMM8_SIGNED)
123 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
124 framework::dataset::make("DataType",
125 DataType::QASYMM8_SIGNED)),
126 framework::dataset::make("Axis", 0)))
127
128 {
129 // Validate output
130 validate(Accessor(_target), _reference);
131 }
132 TEST_SUITE_END()
133 TEST_SUITE_END()
134
135 TEST_SUITE_END()
136 TEST_SUITE_END()
137 } // namespace validation
138 } // namespace test
139 } // namespace arm_compute
140