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giuros0192fd9432018-12-03 17:30:00 +00001/*
Michalis Spyrou5c9f0c42019-01-16 14:48:48 +00002 * Copyright (c) 2018-2019 ARM Limited.
giuros0192fd9432018-12-03 17:30:00 +00003 *
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,
Georgios Pinitas2d6cb172018-12-24 15:00:43 +000021 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
giuros0192fd9432018-12-03 17:30:00 +000022 * 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
37namespace arm_compute
38{
39namespace test
40{
41namespace validation
42{
43namespace
44{
45RelativeTolerance<float> tolerance_fp32(0.000001f);
Georgios Pinitas2d6cb172018-12-24 15:00:43 +000046#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
47RelativeTolerance<float> tolerance_fp16(0.01f);
48#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
49
giuros0192fd9432018-12-03 17:30:00 +000050/** Input data sets **/
51const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
52 framework::dataset::make("DataType",
53 DataType::QASYMM8));
54/** Input data sets **/
55const auto ElementwiseSquaredDiffS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)),
56 framework::dataset::make("DataType",
57 DataType::S32));
58const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
59 framework::dataset::make("DataType", DataType::S16));
60#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
61const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
62 framework::dataset::make("DataType", DataType::F16));
63#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
64const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
65 framework::dataset::make("DataType", DataType::F32));
66} // namespace
67
68TEST_SUITE(NEON)
69TEST_SUITE(ElementwiseSquaredDiff)
70
71template <typename T>
72using NEElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
73
74// *INDENT-OFF*
75// clang-format off
76DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
77 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
78 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
79 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
80 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination
81 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
82 }),
83 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
84 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
85 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
86 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
87 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
88 })),
89 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
90 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
91 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
92 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
93 TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
94 })),
95 framework::dataset::make("Expected", { true, true, true, false, false})),
96 input1_info, input2_info, output_info, expected)
97{
98 ARM_COMPUTE_EXPECT(bool(NEElementwiseSquaredDiff::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);
99}
100// clang-format on
101// *INDENT-ON*
102
103TEST_SUITE(S32)
Michalis Spyrou5c9f0c42019-01-16 14:48:48 +0000104DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(),
giuros0192fd9432018-12-03 17:30:00 +0000105 shape)
106{
107 // Create tensors
108 Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::S32);
109 Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S32);
110 Tensor dst = create_tensor<Tensor>(shape, DataType::S32);
111
112 // Create and Configure function
113 NEElementwiseSquaredDiff add;
114 add.configure(&ref_src1, &ref_src2, &dst);
115
116 // Validate valid region
117 const ValidRegion valid_region = shape_to_valid_region(shape);
118 validate(dst.info()->valid_region(), valid_region);
119}
120
121FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset))
122{
123 // Validate output
124 validate(Accessor(_target), _reference);
125}
126TEST_SUITE_END() // S32
127
128TEST_SUITE(S16)
Michalis Spyrou5c9f0c42019-01-16 14:48:48 +0000129DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::S16 })),
giuros0192fd9432018-12-03 17:30:00 +0000130 shape, data_type)
131{
132 // Create tensors
133 Tensor ref_src1 = create_tensor<Tensor>(shape, data_type);
134 Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S16);
135 Tensor dst = create_tensor<Tensor>(shape, DataType::S16);
136
137 // Create and Configure function
138 NEElementwiseSquaredDiff add;
139 add.configure(&ref_src1, &ref_src2, &dst);
140
141 // Validate valid region
142 const ValidRegion valid_region = shape_to_valid_region(shape);
143 validate(dst.info()->valid_region(), valid_region);
144}
145
146FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset))
147{
148 // Validate output
149 validate(Accessor(_target), _reference);
150}
151
152FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffS16Dataset))
153{
154 // Validate output
155 validate(Accessor(_target), _reference);
156}
157TEST_SUITE_END() // S16
158
159template <typename T>
160using NEElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
161
162TEST_SUITE(Quantized)
163TEST_SUITE(QASYMM8)
Michalis Spyrou5c9f0c42019-01-16 14:48:48 +0000164DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(),
giuros0192fd9432018-12-03 17:30:00 +0000165 shape)
166{
167 // Create tensors
168 Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::QASYMM8);
169 Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::QASYMM8);
170 Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8);
171
172 // Create and Configure function
173 NEElementwiseMin add;
174 add.configure(&ref_src1, &ref_src2, &dst);
175
176 // Validate valid region
177 const ValidRegion valid_region = shape_to_valid_region(shape);
178 validate(dst.info()->valid_region(), valid_region);
179}
180
181FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
182 ElementwiseSquaredDiffQASYMM8Dataset),
183 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
184 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
185 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))
186
187 )
188{
189 // Validate output
190 validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
191}
192template <typename T>
193using NEElementwiseSquaredDiffQuantizedBroadcastFixture = ElementwiseSquaredDiffQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
194
195FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
196 combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
197 ElementwiseSquaredDiffQASYMM8Dataset),
198 framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
199 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
200 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })))
201{
202 // Validate output
203 validate(Accessor(_target), _reference);
204}
205TEST_SUITE_END()
206TEST_SUITE_END()
207
208TEST_SUITE(Float)
209#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
210TEST_SUITE(F16)
211FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset))
212{
213 // Validate output
Georgios Pinitas2d6cb172018-12-24 15:00:43 +0000214 validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
giuros0192fd9432018-12-03 17:30:00 +0000215}
216TEST_SUITE_END() // F16
217#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
218
219TEST_SUITE(F32)
Michalis Spyrou5c9f0c42019-01-16 14:48:48 +0000220DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, datasets::SmallShapes(),
giuros0192fd9432018-12-03 17:30:00 +0000221 shape)
222{
223 // Create tensors
224 Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::F32);
225 Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::F32);
226 Tensor dst = create_tensor<Tensor>(shape, DataType::F32);
227
228 // Create and Configure function
229 NEElementwiseSquaredDiff add;
230 add.configure(&ref_src1, &ref_src2, &dst);
231
232 // Validate valid region
233 const ValidRegion valid_region = shape_to_valid_region(shape);
234 validate(dst.info()->valid_region(), valid_region);
235}
236
237FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset))
238{
239 // Validate output
240 validate(Accessor(_target), _reference);
241}
242
243FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffFP32Dataset))
244{
245 // Validate output
246 validate(Accessor(_target), _reference);
247}
248
249template <typename T>
250using NEElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>;
251
252FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(),
253 ElementwiseSquaredDiffFP32Dataset))
254{
255 // Validate output
256 validate(Accessor(_target), _reference);
257}
258
259FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(),
260 ElementwiseSquaredDiffFP32Dataset))
261{
262 // Validate output
263 validate(Accessor(_target), _reference);
264}
265TEST_SUITE_END() // F32
266TEST_SUITE_END() // Float
267
268TEST_SUITE_END() // ElementwiseSquaredDiff
269TEST_SUITE_END() // NEON
270} // namespace validation
271} // namespace test
272} // namespace arm_compute