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/CLQuantizationLayer.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/QuantizationLayerFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 constexpr AbsoluteTolerance<float> tolerance_f32(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
46 constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8 data types */
47 constexpr AbsoluteTolerance<int8_t> tolerance_s8(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM8_SIGNED data types */
48 constexpr AbsoluteTolerance<uint16_t> tolerance_u16(1); /**< Tolerance value for comparing reference's output against implementation's output for QASYMM16 data types */
49 const auto QuantizationSmallShapes = concat(datasets::Small3DShapes(), datasets::Small4DShapes());
50 const auto QuantizationLargeShapes = concat(datasets::Large3DShapes(), datasets::Large4DShapes());
51 } // namespace
52
53 TEST_SUITE(CL)
TEST_SUITE(QuantizationLayer)54 TEST_SUITE(QuantizationLayer)
55
56 // *INDENT-OFF*
57 // clang-format off
58 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
59 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
60 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong output data type
61 TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::F32), // Mismatching shapes
62 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Valid
63 }),
64 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
65 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U16),
66 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
67 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8),
68 })),
69 framework::dataset::make("Expected", { false, false, false, true})),
70 input_info, output_info, expected)
71 {
72 ARM_COMPUTE_EXPECT(bool(CLQuantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
73 }
74 // clang-format on
75 // *INDENT-ON*
76
77 template <typename T>
78 using CLQuantizationLayerQASYMM8Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
79 template <typename T>
80 using CLQuantizationLayerQASYMM8_SIGNEDFixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
81 template <typename T>
82 using CLQuantizationLayerQASYMM16Fixture = QuantizationValidationFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
83
84 TEST_SUITE(Float)
TEST_SUITE(FP32)85 TEST_SUITE(FP32)
86 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
87 framework::dataset::make("DataTypeIn", DataType::F32)),
88 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
89 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
90 {
91 // Validate output
92 validate(CLAccessor(_target), _reference, tolerance_f32);
93 }
94 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
95 framework::dataset::make("DataTypeIn", DataType::F32)),
96 framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
97 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
98 {
99 // Validate output
100 validate(CLAccessor(_target), _reference, tolerance_f32);
101 }
102 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
103 framework::dataset::make("DataTypeIn", DataType::F32)),
104 framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
105 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
106 {
107 // Validate output
108 validate(CLAccessor(_target), _reference, tolerance_u16);
109 }
110 FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
111 framework::dataset::make("DataTypeIn", DataType::F32)),
112 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
113 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
114 {
115 // Validate output
116 validate(CLAccessor(_target), _reference, tolerance_f32);
117 }
118 FIXTURE_DATA_TEST_CASE(RunLargeQASYMM16, CLQuantizationLayerQASYMM16Fixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
119 framework::dataset::make("DataTypeIn", DataType::F32)),
120 framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
121 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
122 {
123 // Validate output
124 validate(CLAccessor(_target), _reference, tolerance_u16);
125 }
126 TEST_SUITE_END() // FP32
127
TEST_SUITE(FP16)128 TEST_SUITE(FP16)
129 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(QuantizationSmallShapes,
130 framework::dataset::make("DataTypeIn", DataType::F16)),
131 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
132 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
133 {
134 // Validate output
135 validate(CLAccessor(_target), _reference, tolerance_f32);
136 }
137 FIXTURE_DATA_TEST_CASE(RunLargeQASYMM8, CLQuantizationLayerQASYMM8Fixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(QuantizationLargeShapes,
138 framework::dataset::make("DataTypeIn", DataType::F16)),
139 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
140 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })))
141 {
142 // Validate output
143 validate(CLAccessor(_target), _reference, tolerance_f32);
144 }
145 TEST_SUITE_END() // FP16
146 TEST_SUITE_END() // Float
147
148 TEST_SUITE(Quantized)
149 template <typename T>
150 using CLQuantizationLayerQASYMM8GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint8_t>;
151 template <typename T>
152 using CLQuantizationLayerQASYMM8_SIGNEDGenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, int8_t>;
153 template <typename T>
154 using CLQuantizationLayerQASYMM16GenFixture = QuantizationValidationGenericFixture<CLTensor, CLAccessor, CLQuantizationLayer, T, uint16_t>;
155 TEST_SUITE(QASYMM8)
156 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
157 framework::dataset::make("DataType", DataType::QASYMM8)),
158 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
159 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(0.5f, 10) })),
160 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 15) })))
161 {
162 // Validate output
163 validate(CLAccessor(_target), _reference, tolerance_u8);
164 }
165 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
166 framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
167 framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
168 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
169 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(1.0f, 15) })))
170 {
171 // Validate output
172 validate(CLAccessor(_target), _reference, tolerance_s8);
173 }
174 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM16, CLQuantizationLayerQASYMM16GenFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
175 framework::dataset::make("DataTypeIn", DataType::QASYMM8)),
176 framework::dataset::make("DataTypeOut", { DataType::QASYMM16 })),
177 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
178 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(4.0f, 23) })))
179 {
180 // Validate output
181 validate(CLAccessor(_target), _reference, tolerance_u16);
182 }
183 TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)184 TEST_SUITE(QASYMM8_SIGNED)
185 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8_SIGNED, CLQuantizationLayerQASYMM8_SIGNEDGenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
186 framework::dataset::make("DataTypeIn", DataType::QASYMM8_SIGNED)),
187 framework::dataset::make("DataTypeOut", { DataType::QASYMM8_SIGNED })),
188 framework::dataset::make("QuantizationInfoOutput", { QuantizationInfo(1.0f, 10) })),
189 framework::dataset::make("QuantizationInfoInput", { QuantizationInfo(2.0f, 5) })))
190 {
191 // Validate output
192 validate(CLAccessor(_target), _reference, tolerance_s8);
193 }
194 FIXTURE_DATA_TEST_CASE(RunSmallQASYMM8, CLQuantizationLayerQASYMM8GenFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(QuantizationSmallShapes,
195 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
196 framework::dataset::make("DataTypeOut", { DataType::QASYMM8 })),
197 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.0f, 10) })),
198 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.0f, 30) })))
199 {
200 // Validate output
201 validate(CLAccessor(_target), _reference, tolerance_u8);
202 }
203 TEST_SUITE_END() // QASYMM8_SIGNED
204 TEST_SUITE_END() // Quantized
205
206 TEST_SUITE_END() // QuantizationLayer
207 TEST_SUITE_END() // CL
208 } // namespace validation
209 } // namespace test
210 } // namespace arm_compute
211