1 /*
2 * Copyright (c) 2017-2021 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/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLReductionOperation.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.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/ReductionOperationFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 /** Tolerance for float operations */
46 AbsoluteTolerance<float> tolerance_f32(0.001f);
47 RelativeTolerance<float> rel_tolerance_f32(0.00001f);
48 AbsoluteTolerance<float> tolerance_f16(0.5f);
49 RelativeTolerance<float> rel_tolerance_f16(0.2f);
50 /** Tolerance for quantized operations */
51 RelativeTolerance<float> tolerance_qasymm8(1);
52
53 const auto ReductionOperationsSumProdMean = framework::dataset::make("ReductionOperationsSumProdMean",
54 {
55 ReductionOperation::SUM,
56 ReductionOperation::PROD,
57 ReductionOperation::MEAN_SUM
58
59 });
60 const auto ReductionOperationsMinMax = framework::dataset::make("ReductionMinMax",
61 {
62 ReductionOperation::MIN,
63 ReductionOperation::MAX,
64 });
65
66 const auto KeepDimensions = framework::dataset::make("KeepDims", { true, false });
67 } // namespace
68
69 TEST_SUITE(CL)
TEST_SUITE(ReductionOperation)70 TEST_SUITE(ReductionOperation)
71
72 // *INDENT-OFF*
73 // clang-format off
74 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
75 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output
76 TensorInfo(TensorShape(128U, 64U), 3, DataType::F32), // Number of Input channels != 1
77 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != QASYMM8/F16/F32
78 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions
79 TensorInfo(TensorShape(128U, 64U), 1, DataType::QASYMM8), // Axis == 0 and SUM_SQUARE and QASYMM8
80 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
81 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) // Kept Dimension when keep_dims = false
82
83 }),
84 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16),
85 TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
86 TensorInfo(TensorShape(1U, 64U), 1, DataType::S16),
87 TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
88 TensorInfo(TensorShape(1U, 64U), 1, DataType::QASYMM8),
89 TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
90 TensorInfo(TensorShape(1U, 64U), 1, DataType::F32)
91 })),
92 framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 1U, 0U, 0U })),
93 framework::dataset::make("KeepDims", { true, true, true, true, true, true, false })),
94 framework::dataset::make("Expected", { false, false, false, false, false, true , false })),
95 input_info, output_info, axis, keep_dims, expected)
96 {
97 bool is_valid = bool(CLReductionOperation::validate(&input_info.clone()->set_is_resizable(false),
98 &output_info.clone()->set_is_resizable(true),
99 axis,
100 ReductionOperation::SUM_SQUARE,
101 keep_dims));
102 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
103 }
104 // clang-format on
105 // *INDENT-ON*
106
107 template <typename T>
108 using CLReductionOperationFixture = ReductionOperationFixture<CLTensor, CLAccessor, CLReductionOperation, T>;
109
110 TEST_SUITE(Float)
TEST_SUITE(FP16)111 TEST_SUITE(FP16)
112 FIXTURE_DATA_TEST_CASE(RunSmall4D, CLReductionOperationFixture<half>, framework::DatasetMode::PRECOMMIT,
113 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
114 concat(ReductionOperationsSumProdMean,
115 ReductionOperationsMinMax)),
116 KeepDimensions))
117 {
118 // Validate output
119 validate(CLAccessor(_target), _reference, tolerance_f16);
120 }
121 FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture<half>, framework::DatasetMode::NIGHTLY,
122 combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), concat(ReductionOperationsSumProdMean,
123 ReductionOperationsMinMax)),
124 KeepDimensions))
125 {
126 // Validate output
127 validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0, tolerance_f16);
128 }
129 TEST_SUITE_END() // F16
TEST_SUITE(FP32)130 TEST_SUITE(FP32)
131 FIXTURE_DATA_TEST_CASE(RunSmall4D, CLReductionOperationFixture<float>, framework::DatasetMode::PRECOMMIT,
132 combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
133 concat(ReductionOperationsSumProdMean,
134 ReductionOperationsMinMax)),
135 KeepDimensions))
136 {
137 // Validate output
138 validate(CLAccessor(_target), _reference, tolerance_f32);
139 }
140 FIXTURE_DATA_TEST_CASE(RunLarge, CLReductionOperationFixture<float>, framework::DatasetMode::NIGHTLY,
141 combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), concat(ReductionOperationsSumProdMean,
142 ReductionOperationsMinMax)),
143 KeepDimensions))
144 {
145 // Validate output
146 validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0, tolerance_f32);
147 }
148 TEST_SUITE_END() // F32
149 TEST_SUITE_END() // Float
150
151 template <typename T>
152 using CLReductionOperationQuantizedFixture = ReductionOperationQuantizedFixture<CLTensor, CLAccessor, CLReductionOperation, T>;
153
154 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)155 TEST_SUITE(QASYMM8)
156 FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
157 combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
158 ReductionOperationsSumProdMean),
159 framework::dataset::make("QuantizationInfo", QuantizationInfo(1.f / 64, 2))),
160 KeepDimensions))
161 {
162 // Validate output
163 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
164 }
165 FIXTURE_DATA_TEST_CASE(RunSmallMinMax, CLReductionOperationQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
166 combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
167 ReductionOperationsMinMax),
168 framework::dataset::make("QuantizationInfo", QuantizationInfo(1.f / 64, 2))),
169 KeepDimensions))
170 {
171 // Validate output
172 validate(CLAccessor(_target), _reference);
173 }
174 TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)175 TEST_SUITE(QASYMM8_SIGNED)
176 FIXTURE_DATA_TEST_CASE(RunSmall, CLReductionOperationQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
177 combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
178 ReductionOperationsSumProdMean),
179 framework::dataset::make("QuantizationInfo", QuantizationInfo(1.f / 64, 2))),
180 KeepDimensions))
181 {
182 // Validate output
183 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
184 }
185 FIXTURE_DATA_TEST_CASE(RunSmallMinMax, CLReductionOperationQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
186 combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
187 ReductionOperationsMinMax),
188 framework::dataset::make("QuantizationInfo", QuantizationInfo(1.f / 64, 2))),
189 KeepDimensions))
190 {
191 // Validate output
192 validate(CLAccessor(_target), _reference);
193 }
194 TEST_SUITE_END() // QASYMM8_SIGNED
195 TEST_SUITE_END() // Quantized
196 TEST_SUITE_END() // Reduction
197 TEST_SUITE_END() // CL
198 } // namespace validation
199 } // namespace test
200 } // namespace arm_compute
201