• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1 /*
2  * Copyright (c) 2019-2020 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/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 /** Input data sets **/
47 const auto ElementwiseDivisionS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32),
48                                                            framework::dataset::make("DataType", DataType::S32)),
49                                                    framework::dataset::make("DataType", DataType::S32));
50 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
51 RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f));
52 const auto              ElementwiseDivisionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
53                                                                  framework::dataset::make("DataType", DataType::F16));
54 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
55 const auto ElementwiseDivisionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
56                                                     framework::dataset::make("DataType", DataType::F32));
57 } // namespace
58 
59 TEST_SUITE(NEON)
60 TEST_SUITE(ElementwiseDivision)
61 
62 template <typename T>
63 using NEElementwiseDivisionFixture = ArithmeticDivisionValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
64 
65 // *INDENT-OFF*
66 // clang-format off
67 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
68                framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
69                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
70                                                         TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
71                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Invalid data type combination
72                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
73                                                       }),
74                framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
75                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
76                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
77                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
78                                                        TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
79                                                      })),
80                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
81                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
82                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
83                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
84                                                        TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
85                                                      })),
86                framework::dataset::make("Expected", { true, true, true, false, false})),
87                input1_info, input2_info, output_info, expected)
88 {
89     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);
90 }
91 // clang-format on
92 // *INDENT-ON*
93 
94 TEST_SUITE(Float)
95 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)96 TEST_SUITE(F16)
97 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP16Dataset))
98 {
99     // Validate output
100     validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
101 }
102 TEST_SUITE_END() // F16
103 #endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
104 
TEST_SUITE(F32)105 TEST_SUITE(F32)
106 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset))
107 {
108     // Validate output
109     validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
110 }
111 
112 template <typename T>
113 using NEElementwiseDivisionBroadcastFixture = ArithmeticDivisionBroadcastValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;
114 
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwiseDivisionBroadcastFixture<float>,framework::DatasetMode::ALL,combine (datasets::SmallShapesBroadcast (),ElementwiseDivisionFP32Dataset))115 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
116                        ElementwiseDivisionFP32Dataset))
117 {
118     // Validate output
119     validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
120 }
121 TEST_SUITE_END() // F32
TEST_SUITE_END()122 TEST_SUITE_END() // Float
123 
124 TEST_SUITE(Integer)
125 TEST_SUITE(S32)
126 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<int32_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionS32Dataset))
127 {
128     // Validate output
129     validate(Accessor(_target), _reference);
130 }
131 TEST_SUITE_END() // S32
132 TEST_SUITE_END() // Integer
133 
134 TEST_SUITE_END() // ElementwiseDivision
135 TEST_SUITE_END() // NEON
136 } // namespace validation
137 } // namespace test
138 } // namespace arm_compute
139