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/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLReduceMean.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/datasets/ShapeDatasets.h"
30 #include "tests/datasets/SplitDataset.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/validation/Validation.h"
34 #include "tests/validation/fixtures/ReduceMeanFixture.h"
35
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 namespace
43 {
44 constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */
45 constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */
46 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */
47
48 const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }),
49 framework::dataset::make("KeepDims", { true }));
50 const auto axis_drop = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1), Coordinates(3), Coordinates(1, 2), Coordinates(2, 1) }), framework::dataset::make("KeepDims", { false }));
51 } // namespace
52 TEST_SUITE(CL)
TEST_SUITE(ReduceMean)53 TEST_SUITE(ReduceMean)
54
55 // *INDENT-OFF*
56 // clang-format off
57 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
58 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
59 TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape
60 TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32),// OK
61 TensorInfo(TensorShape{228U, 19U, 2U, 2U}, 1, DataType::F32),// OK
62 TensorInfo(TensorShape{228U, 19U, 2U, 1U}, 1, DataType::F32) // Cannot support axis 3 not valid
63 }),
64 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32),
65 TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32),
66 TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32),
67 TensorInfo(TensorShape(19U), 1, DataType::F32),
68 TensorInfo(TensorShape(19U), 1, DataType::F32)
69
70 })),
71 framework::dataset::make("Axis", { Coordinates(4), Coordinates(0,2), Coordinates(2), Coordinates(3,2,0), Coordinates(3,2,0) })),
72 framework::dataset::make("Keep", { true, true, true, false, false })),
73 framework::dataset::make("Expected", { false, false, true, true, false })),
74 input_info, output_info, axis, keep, expected)
75 {
76 const Status status = CLReduceMean::validate(&input_info.clone()->set_is_resizable(false), axis, keep, &output_info.clone()->set_is_resizable(false));
77 ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
78 }
79 // clang-format on
80 // *INDENT-ON*
81
82 template <typename T>
83 using CLReduceMeanFixture = ReduceMeanFixture<CLTensor, CLAccessor, CLReduceMean, T>;
84
85 TEST_SUITE(Float)
TEST_SUITE(FP16)86 TEST_SUITE(FP16)
87 FIXTURE_DATA_TEST_CASE(RunSmall,
88 CLReduceMeanFixture<half>,
89 framework::DatasetMode::PRECOMMIT,
90 combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop)))
91 {
92 // Validate output
93 validate(CLAccessor(_target), _reference, tolerance_f16);
94 }
95
96 FIXTURE_DATA_TEST_CASE(RunLarge,
97 CLReduceMeanFixture<half>,
98 framework::DatasetMode::NIGHTLY,
99 combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop)))
100 {
101 // Validate output
102 validate(CLAccessor(_target), _reference, tolerance_f16);
103 }
104 TEST_SUITE_END() // FP16
105
TEST_SUITE(FP32)106 TEST_SUITE(FP32)
107 FIXTURE_DATA_TEST_CASE(RunSmall,
108 CLReduceMeanFixture<float>,
109 framework::DatasetMode::PRECOMMIT,
110 combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop)))
111 {
112 // Validate output
113 validate(CLAccessor(_target), _reference, tolerance_f32);
114 }
115
116 FIXTURE_DATA_TEST_CASE(RunLarge,
117 CLReduceMeanFixture<float>,
118 framework::DatasetMode::NIGHTLY,
119 combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop)))
120 {
121 // Validate output
122 validate(CLAccessor(_target), _reference, tolerance_f32);
123 }
124 TEST_SUITE_END() // FP32
125 TEST_SUITE_END() // Float
126
127 template <typename T>
128 using CLReduceMeanQuantizedFixture = ReduceMeanQuantizedFixture<CLTensor, CLAccessor, CLReduceMean, T>;
129
130 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)131 TEST_SUITE(QASYMM8)
132 FIXTURE_DATA_TEST_CASE(RunSmall,
133 CLReduceMeanQuantizedFixture<uint8_t>,
134 framework::DatasetMode::PRECOMMIT,
135 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
136 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
137 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
138 {
139 // Validate output
140 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
141 }
142
143 TEST_SUITE(Requant)
144 FIXTURE_DATA_TEST_CASE(RunSmall,
145 CLReduceMeanQuantizedFixture<uint8_t>,
146 framework::DatasetMode::PRECOMMIT,
147 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), axis_drop),
148 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
149 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 200, 16) })))
150 {
151 // Validate output
152 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
153 }
154 TEST_SUITE_END() // Requant
155
156 FIXTURE_DATA_TEST_CASE(RunLarge,
157 CLReduceMeanQuantizedFixture<uint8_t>,
158 framework::DatasetMode::NIGHTLY,
159 combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)),
160 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 255, 5) })),
161 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 255, 5) })))
162 {
163 // Validate output
164 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
165 }
166 TEST_SUITE_END() // QASYMM8
167
TEST_SUITE(QASYMM8_SIGNED)168 TEST_SUITE(QASYMM8_SIGNED)
169 FIXTURE_DATA_TEST_CASE(RunSmall,
170 CLReduceMeanQuantizedFixture<int8_t>,
171 framework::DatasetMode::PRECOMMIT,
172 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
173 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
174 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) })))
175 {
176 // Validate output
177 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
178 }
179
180 TEST_SUITE(Requant)
181 FIXTURE_DATA_TEST_CASE(RunSmall,
182 CLReduceMeanQuantizedFixture<int8_t>,
183 framework::DatasetMode::PRECOMMIT,
184 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), axis_drop),
185 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
186 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 113, 10) })))
187 {
188 // Validate output
189 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
190 }
191 TEST_SUITE_END() // Requant
192
193 FIXTURE_DATA_TEST_CASE(RunLarge,
194 CLReduceMeanQuantizedFixture<int8_t>,
195 framework::DatasetMode::NIGHTLY,
196 combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), concat(axis_keep, axis_drop)),
197 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.f / 102, 2) })),
198 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.f / 102, 2) })))
199 {
200 // Validate output
201 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
202 }
203 TEST_SUITE_END() // QASYMM8_SIGNED
204 TEST_SUITE_END() // Quantized
205 TEST_SUITE_END() // ReduceMean
206 TEST_SUITE_END() // CL
207 } // namespace validation
208 } // namespace test
209 } // namespace arm_compute
210