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Gunes Bayirae72a462023-01-29 13:24:24 +00001/*
2 * Copyright (c) 2023 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 */
Gunes Bayird04528b2023-02-02 22:51:49 +000024#ifdef __aarch64__
25
Gunes Bayirae72a462023-01-29 13:24:24 +000026#include "arm_compute/core/Types.h"
27#include "arm_compute/runtime/NEON/functions/NEAddMulAdd.h"
28#include "arm_compute/runtime/Tensor.h"
29#include "arm_compute/runtime/TensorAllocator.h"
30
31#include "tests/NEON/Accessor.h"
32#include "tests/datasets/ShapeDatasets.h"
33#include "tests/framework/Asserts.h"
34#include "tests/framework/Macros.h"
35#include "tests/framework/datasets/Datasets.h"
36#include "tests/validation/Validation.h"
37#include "tests/validation/fixtures/AddMulAddFixture.h"
38
39namespace arm_compute
40{
41namespace test
42{
43namespace validation
44{
45namespace
46{
47constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
48const AbsoluteTolerance<half> tolerance_fp16(half(0.1f)); /**< Tolerance for 16-bit floating point tests */
49constexpr AbsoluteTolerance<float> tolerance_quant(1); /**< Tolerance for quantized tests */
50
51const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
52{
53 ActivationLayerInfo(),
54 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
55
56 // Boundaries are aligned with Quantized Data ranges -- DOUBLE check before changing
57 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f),
58 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, -2.f)
59});
60
61// QASYMM8 test quantizations
62const auto qasymm8_input1_qinfo_set = framework::dataset::make("Input1QInfo", { QuantizationInfo(0.1, 10) }); // Representable Range: [-1, 24.5]
63const auto qasymm8_input2_qinfo_set = framework::dataset::make("Input2QInfo", { QuantizationInfo(0.2, 60) }); // Representable Range: [-12, 39]
64const auto qasymm8_bn_mul_qinfo_set = framework::dataset::make("BnMulInfo", { QuantizationInfo(0.001, 55) }); // Representable Range: [-0.11, 0.2]
65const auto qasymm8_bn_add_qinfo_set = framework::dataset::make("BnAddInfo", { QuantizationInfo(0.02, 20) }); // Representable Range: [-0.4, 4.7]
66
67// Representable Range: [-9.36, 51.84], Expected F32 range: [-13, 63.5], leaving some space for saturation
68const auto qasymm8_add_output_qinfo_set = framework::dataset::make("AddOutputInfo", { QuantizationInfo(0.24, 39) });
69
70// Representable Range: [-4.8, 10.5], Expected FP32 range: [-6.985, 12.7], leaving some space for saturation
71// This range also makes sense with the activation boundaries above, i.e. [-2, 8] for LU_BOUNDED_RELU and [0, 6] for BOUNDED_RELU
72const auto qasymm8_final_output_qinfo_set = framework::dataset::make("FinalOutputInfo", { QuantizationInfo(0.06, 80) });
73
74// QASYMM8_SIGNED test quantizations
75const auto qasymm8_signed_input1_qinfo_set = framework::dataset::make("Input1QInfo", { QuantizationInfo(0.1, 10) }); // Representable Range: [-13.8, 11.7]
76const auto qasymm8_signed_input2_qinfo_set = framework::dataset::make("Input2QInfo", { QuantizationInfo(0.2, -60) }); // Representable Range: [-13.6, 39.4]
77const auto qasymm8_signed_bn_mul_qinfo_set = framework::dataset::make("BnMulInfo", { QuantizationInfo(0.001, 55) }); // Representable Range: [-0.183, 0.072]
78const auto qasymm8_signed_bn_add_qinfo_set = framework::dataset::make("BnAddInfo", { QuantizationInfo(0.4, -120) }); // Representable Range: [-0.32, 9.08]
79
80// Representable Range: [-21.36, 39.84], Expected F32 range: [-27.4, 51.1], leaving some space for saturation
81const auto qasymm8_signed_add_output_qinfo_set = framework::dataset::make("AddOutputInfo", { QuantizationInfo(0.24, -39) });
82
83// Representable Range: [-4.8, 10.5], Expected FP32 range: [-9.6713, 14.0942], leaving some space for saturation
84// This range also makes sense with the activation boundaries above, i.e. [-2, 8] for LU_BOUNDED_RELU and [0, 6] for BOUNDED_RELU
85const auto qasymm8_signed_final_output_qinfo_set = framework::dataset::make("FinalOutputInfo", { QuantizationInfo(0.06, -48) });
86
87} // namespace
88
89TEST_SUITE(NEON)
90TEST_SUITE(AddMulAdd)
91
92template <typename T>
93using NEAddMulAddFloatFixture = AddMulAddFloatValidationFixture<Tensor, Accessor, NEAddMulAdd, T, true>;
94
95template <typename T>
96using NEAddMulAddFloatFixtureWoIntermOut = AddMulAddFloatValidationFixture<Tensor, Accessor, NEAddMulAdd, T, false>;
97
98TEST_SUITE(Float)
99
100TEST_SUITE(F32)
101FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulAddFloatFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(),
102 framework::dataset::make("DataType", DataType::F32)),
103 ActivationFunctionsDataset))
104{
105 // Validate outputs
106 validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance
107 validate(Accessor(_target), _reference, tolerance_fp32);
108}
109
110// This test is to stress the case when there is no intermediate output required (i.e. nullptr)
111FIXTURE_DATA_TEST_CASE(RunSmallWithoutIntermOutput, NEAddMulAddFloatFixtureWoIntermOut<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(),
112 framework::dataset::make("DataType", DataType::F32)),
113 framework::dataset::make("ActivationInfo", { ActivationLayerInfo() })))
114{
115 // Validate outputs
116 validate(Accessor(_target), _reference, tolerance_fp32);
117}
118
119FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulAddFloatFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(),
120 framework::dataset::make("DataType", DataType::F32)),
121 ActivationFunctionsDataset))
122{
123 // Validate outputs
124 validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance
125 validate(Accessor(_target), _reference, tolerance_fp32);
126}
127
128TEST_SUITE_END() // F32
129
130#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
131TEST_SUITE(F16)
132FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulAddFloatFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(),
133 framework::dataset::make("DataType", DataType::F16)),
134 ActivationFunctionsDataset))
135{
136 // Validate outputs
137 validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance
138 validate(Accessor(_target), _reference, tolerance_fp16);
139}
140
141FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulAddFloatFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(),
142 framework::dataset::make("DataType", DataType::F16)),
143 ActivationFunctionsDataset))
144{
145 // Validate outputs
146 validate(Accessor(_interm_target), _interm_reference); // Arithmetic Addition has more strict tolerance
147 validate(Accessor(_target), _reference, tolerance_fp16);
148}
149TEST_SUITE_END() // F16
150#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
151
152TEST_SUITE_END() // Float
153
154template <typename T>
155using NEAddMulQuantizedFixture = AddMulAddQuantizedValidationFixture<Tensor, Accessor, NEAddMulAdd, T, true>;
156
157template <typename T>
158using NEAddMulAddQuantizedFixtureWoIntermOut = AddMulAddQuantizedValidationFixture<Tensor, Accessor, NEAddMulAdd, T, false>;
159
160TEST_SUITE(Quantized)
161
162TEST_SUITE(QASYMM8)
163FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(),
164 framework::dataset::make("DataType", DataType::QASYMM8)),
165 ActivationFunctionsDataset),
166 qasymm8_input1_qinfo_set),
167 qasymm8_input2_qinfo_set),
168 qasymm8_bn_mul_qinfo_set),
169 qasymm8_bn_add_qinfo_set),
170 qasymm8_add_output_qinfo_set),
171 qasymm8_final_output_qinfo_set))
172{
173 // Validate outputs
174 validate(Accessor(_interm_target), _interm_reference, tolerance_quant);
175 validate(Accessor(_target), _reference, tolerance_quant);
176}
177
178FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(),
179 framework::dataset::make("DataType", DataType::QASYMM8)),
180 ActivationFunctionsDataset),
181 qasymm8_input1_qinfo_set),
182 qasymm8_input2_qinfo_set),
183 qasymm8_bn_mul_qinfo_set),
184 qasymm8_bn_add_qinfo_set),
185 qasymm8_add_output_qinfo_set),
186 qasymm8_final_output_qinfo_set))
187{
188 // Validate outputs
189 validate(Accessor(_interm_target), _interm_reference, tolerance_quant);
190 validate(Accessor(_target), _reference, tolerance_quant);
191}
192TEST_SUITE_END() // QASYMM8
193
194TEST_SUITE(QASYMM8_SIGNED)
195FIXTURE_DATA_TEST_CASE(RunSmall, NEAddMulQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(combine(combine(combine(datasets::SmallShapes(),
196 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
197 ActivationFunctionsDataset),
198 qasymm8_signed_input1_qinfo_set),
199 qasymm8_signed_input2_qinfo_set),
200 qasymm8_signed_bn_mul_qinfo_set),
201 qasymm8_signed_bn_add_qinfo_set),
202 qasymm8_signed_add_output_qinfo_set),
203 qasymm8_signed_final_output_qinfo_set))
204{
205 // Validate outputs
206 validate(Accessor(_interm_target), _interm_reference, tolerance_quant);
207 validate(Accessor(_target), _reference, tolerance_quant);
208}
209
210FIXTURE_DATA_TEST_CASE(RunLarge, NEAddMulQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(combine(combine(datasets::LargeShapes(),
211 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
212 ActivationFunctionsDataset),
213 qasymm8_signed_input1_qinfo_set),
214 qasymm8_signed_input2_qinfo_set),
215 qasymm8_signed_bn_mul_qinfo_set),
216 qasymm8_signed_bn_add_qinfo_set),
217 qasymm8_signed_add_output_qinfo_set),
218 qasymm8_signed_final_output_qinfo_set))
219{
220 // Validate outputs
221 validate(Accessor(_interm_target), _interm_reference, tolerance_quant);
222 validate(Accessor(_target), _reference, tolerance_quant);
223}
224TEST_SUITE_END() // QASYMM8_SIGNED
225
226TEST_SUITE_END() // Quantized
227
228TEST_SUITE_END() // AddMulAdd
229TEST_SUITE_END() // NEON
230} // namespace validation
231} // namespace test
232} // namespace arm_compute
Gunes Bayird04528b2023-02-02 22:51:49 +0000233
234#endif // __aarch64__