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(0.001f);
46 /** Input data sets **/
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f));
49 const auto ElementwisePowerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
50 framework::dataset::make("DataType", DataType::F16));
51 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
52 const auto ElementwisePowerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
53 framework::dataset::make("DataType", DataType::F32));
54 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
55 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
56 } // namespace
57
58 TEST_SUITE(NEON)
59 TEST_SUITE(ElementwisePower)
60
61 template <typename T>
62 using NEElementwisePowerFixture = ElementwisePowerValidationFixture<Tensor, Accessor, NEElementwisePower, T>;
63
64 // *INDENT-OFF*
65 // clang-format off
66 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
67 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
68 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
69 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
70 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
71 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
72 }),
73 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
74 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
75 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
76 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
77 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
78 })),
79 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
80 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
81 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
82 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
83 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
84 })),
85 framework::dataset::make("Expected", { true, true, true, false, false})),
86 input1_info, input2_info, output_info, expected)
87 {
88 ARM_COMPUTE_EXPECT(bool(NEElementwisePower::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);
89 }
90 // clang-format on
91 // *INDENT-ON*
92
93 TEST_SUITE(Float)
94 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)95 TEST_SUITE(F16)
96 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwisePowerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP16Dataset),
97 InPlaceDataSet))
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
107 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwisePowerFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP32Dataset),
108 InPlaceDataSet))
109 {
110 // Validate output
111 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
112 }
113
FIXTURE_DATA_TEST_CASE(RunLarge,NEElementwisePowerFixture<float>,framework::DatasetMode::NIGHTLY,combine (combine (datasets::LargeShapes (),ElementwisePowerFP32Dataset),InPlaceDataSet))114 FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwisePowerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ElementwisePowerFP32Dataset),
115 InPlaceDataSet))
116 {
117 // Validate output
118 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
119 }
120
121 template <typename T>
122 using NEElementwisePowerBroadcastFixture = ElementwisePowerBroadcastValidationFixture<Tensor, Accessor, NEElementwisePower, T>;
123
FIXTURE_DATA_TEST_CASE(RunSmallBroadcast,NEElementwisePowerBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::SmallShapesBroadcast (),ElementwisePowerFP32Dataset),OutOfPlaceDataSet))124 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwisePowerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapesBroadcast(),
125 ElementwisePowerFP32Dataset),
126 OutOfPlaceDataSet))
127 {
128 // Validate output
129 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
130 }
FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace,NEElementwisePowerBroadcastFixture<float>,framework::DatasetMode::ALL,combine (combine (datasets::TinyShapesBroadcastInplace (),ElementwisePowerFP32Dataset),InPlaceDataSet))131 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwisePowerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
132 ElementwisePowerFP32Dataset),
133 InPlaceDataSet))
134 {
135 // Validate output
136 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
137 }
FIXTURE_DATA_TEST_CASE(RunLargeBroadcast,NEElementwisePowerBroadcastFixture<float>,framework::DatasetMode::NIGHTLY,combine (combine (datasets::LargeShapesBroadcast (),ElementwisePowerFP32Dataset),OutOfPlaceDataSet))138 FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwisePowerBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(),
139 ElementwisePowerFP32Dataset),
140 OutOfPlaceDataSet))
141 {
142 // Validate output
143 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
144 }
145 TEST_SUITE_END() // F32
146 TEST_SUITE_END() // Float
147
148 TEST_SUITE_END() // ElementwisePower
149 TEST_SUITE_END() // Neon
150 } // namespace validation
151 } // namespace test
152 } // namespace arm_compute
153