1 /*
2 * Copyright (c) 2017-2020 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/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLConcatenateLayer.h"
28 #include "tests/CL/CLAccessor.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(CL)
TEST_SUITE(DepthConcatenateLayer)43 TEST_SUITE(DepthConcatenateLayer)
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, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
49 TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32), // Mismatching x dimension
50 TensorInfo(TensorShape(23U, 27U, 3U), 1, DataType::F32), // Mismatching total depth
51 TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32)
52 }),
53 framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32),
54 TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32),
55 TensorInfo(TensorShape(23U, 27U, 4U), 1, DataType::F32),
56 TensorInfo(TensorShape(16U, 27U, 6U), 1, DataType::F32)
57 })),
58 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(23U, 27U, 9U), 1, DataType::F16),
59 TensorInfo(TensorShape(25U, 12U, 9U), 1, DataType::F32),
60 TensorInfo(TensorShape(23U, 27U, 8U), 1, DataType::F32),
61 TensorInfo(TensorShape(16U, 27U, 12U), 1, DataType::F32)
62 })),
63 framework::dataset::make("Expected", { false, false, false, true })),
64 input_info1, input_info2, output_info,expected)
65 {
66 std::vector<TensorInfo> inputs_vector_info;
67 inputs_vector_info.emplace_back(std::move(input_info1));
68 inputs_vector_info.emplace_back(std::move(input_info2));
69
70 std::vector<const ITensorInfo *> inputs_vector_info_raw;
71 inputs_vector_info_raw.reserve(inputs_vector_info.size());
72 for(auto &input : inputs_vector_info)
73 {
74 inputs_vector_info_raw.emplace_back(&input);
75 }
76
77 bool is_valid = bool(CLConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(false), 2));
78 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
79 }
80 // clang-format on
81 // *INDENT-ON*
82
83 template <typename T>
84 using CLDepthConcatenateLayerFixture = ConcatenateLayerValidationFixture<CLTensor, ICLTensor, CLAccessor, CLConcatenateLayer, T>;
85
86 TEST_SUITE(Float)
TEST_SUITE(FP16)87 TEST_SUITE(FP16)
88 FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()),
89 framework::dataset::make("DataType",
90 DataType::F16)),
91 framework::dataset::make("Axis", 2)))
92 {
93 // Validate output
94 validate(CLAccessor(_target), _reference);
95 }
96 FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(concat(datasets::Large3DShapes(), datasets::Small4DShapes()),
97 framework::dataset::make("DataType",
98 DataType::F16)),
99 framework::dataset::make("Axis", 2)))
100 {
101 // Validate output
102 validate(CLAccessor(_target), _reference);
103 }
104 TEST_SUITE_END()
105
TEST_SUITE(FP32)106 TEST_SUITE(FP32)
107 FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()),
108 framework::dataset::make("DataType",
109 DataType::F32)),
110 framework::dataset::make("Axis", 2)))
111 {
112 // Validate output
113 validate(CLAccessor(_target), _reference);
114 }
115 FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
116 DataType::F32)),
117 framework::dataset::make("Axis", 2)))
118 {
119 // Validate output
120 validate(CLAccessor(_target), _reference);
121 }
122 TEST_SUITE_END()
TEST_SUITE_END()123 TEST_SUITE_END()
124
125 TEST_SUITE(Quantized)
126 TEST_SUITE(QASYMM8)
127 FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small3DShapes(), datasets::Tiny4DShapes()),
128 framework::dataset::make("DataType",
129 DataType::QASYMM8)),
130 framework::dataset::make("Axis", 2)))
131 {
132 // Validate output
133 validate(CLAccessor(_target), _reference);
134 }
135 FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::ConcatenateLayerShapes(), framework::dataset::make("DataType",
136 DataType::QASYMM8)),
137 framework::dataset::make("Axis", 2)))
138 {
139 // Validate output
140 validate(CLAccessor(_target), _reference);
141 }
142 TEST_SUITE_END()
143 TEST_SUITE_END()
144
145 TEST_SUITE_END()
146 TEST_SUITE_END()
147 } // namespace validation
148 } // namespace test
149 } // namespace arm_compute
150