1 /*
2 * Copyright (c) 2019-2021 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/NEON/functions/NEElementwiseOperations.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.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/ElementwiseOperationsFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<float> tolerance_fp32(0.000001f);
46 AbsoluteTolerance<int> tolerance_zero_s32(1); // Tolerance for S32 division
47
48 /** Input data sets **/
49 const auto ElementwiseDivisionS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32),
50 framework::dataset::make("DataType", DataType::S32)),
51 framework::dataset::make("DataType", DataType::S32));
52 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
53 RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f));
54 const auto ElementwiseDivisionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
55 framework::dataset::make("DataType", DataType::F16));
56 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
57 const auto ElementwiseDivisionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
58 framework::dataset::make("DataType", DataType::F32));
59 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
60 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
61 } // namespace
62
63 TEST_SUITE(NEON)
64 TEST_SUITE(ElementwiseDivision)
65
66 template <typename T>
67 using NEElementwiseDivisionFixture = ArithmeticDivisionValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
68
69 // *INDENT-OFF*
70 // clang-format off
71 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
72 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
73 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
74 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
75 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
76 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
77 }),
78 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
79 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
80 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
81 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
82 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
83 })),
84 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
85 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
86 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
87 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
88 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
89 })),
90 framework::dataset::make("Expected", { true, true, true, false, false})),
91 input1_info, input2_info, output_info, expected)
92 {
93 ARM_COMPUTE_EXPECT(bool(NEElementwiseDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
94 }
95 // clang-format on
96 // *INDENT-ON*
97
98 // Test test cases will execute the function with dynamic-stated shapes
99 // Since other elementwise operations share the same kernel, this tests are added only here.
100 // Also, only FP32 is tested since data type doesn't/shouldn't matter with dynamic shapes.
101 TEST_SUITE(DynamicShape)
102 template <typename T>
103 using CpuElementwiseDivisionDynamicShapeFixture = ArithmeticDivisionDynamicShapeValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
104
105 template <typename T>
106 using CpuElementwiseDivisionBroadcastDynamicShapeFixture = ArithmeticDivisionBroadcastDynamicShapeValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
107
108 TEST_SUITE(F32)
109
FIXTURE_DATA_TEST_CASE(RunSmall,CpuElementwiseDivisionDynamicShapeFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapes (),ElementwiseDivisionFP32Dataset),InPlaceDataSet))110 FIXTURE_DATA_TEST_CASE(RunSmall, CpuElementwiseDivisionDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset),
111 InPlaceDataSet))
112 {
113 // Validate output
114 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
115 }
116
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,CpuElementwiseDivisionBroadcastDynamicShapeFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapesBroadcast (),ElementwiseDivisionFP32Dataset),OutOfPlaceDataSet))117 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CpuElementwiseDivisionBroadcastDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
118 ElementwiseDivisionFP32Dataset),
119 OutOfPlaceDataSet))
120 {
121 // Validate output
122 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
123 }
124
125 TEST_SUITE_END() // F32
TEST_SUITE_END()126 TEST_SUITE_END() // DynamicShape
127
128 TEST_SUITE(Float)
129 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
130 TEST_SUITE(F16)
131 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseDivisionFP16Dataset),
132 InPlaceDataSet))
133 {
134 // Validate output
135 validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
136 }
137 TEST_SUITE_END() // F16
138 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
139
TEST_SUITE(F32)140 TEST_SUITE(F32)
141 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset),
142 InPlaceDataSet))
143 {
144 // Validate output
145 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
146 }
147
148 template <typename T>
149 using NEElementwiseDivisionBroadcastFixture = ArithmeticDivisionBroadcastValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
150
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwiseDivisionBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapesBroadcast (),ElementwiseDivisionFP32Dataset),OutOfPlaceDataSet))151 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
152 ElementwiseDivisionFP32Dataset),
153 OutOfPlaceDataSet))
154 {
155 // Validate output
156 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
157 }
FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace,NEElementwiseDivisionBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::TinyShapesBroadcastInplace (),ElementwiseDivisionFP32Dataset),InPlaceDataSet))158 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
159 ElementwiseDivisionFP32Dataset),
160 InPlaceDataSet))
161 {
162 // Validate output
163 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
164 }
165 TEST_SUITE_END() // F32
TEST_SUITE_END()166 TEST_SUITE_END() // Float
167
168 TEST_SUITE(Integer)
169 TEST_SUITE(S32)
170 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<int32_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseDivisionS32Dataset),
171 InPlaceDataSet))
172 {
173 // Validate output
174 validate(Accessor(_target), _reference, tolerance_zero_s32);
175 }
176 TEST_SUITE_END() // S32
177 TEST_SUITE_END() // Integer
178
179 TEST_SUITE_END() // ElementwiseDivision
180 TEST_SUITE_END() // Neon
181 } // namespace validation
182 } // namespace test
183 } // namespace arm_compute
184