Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 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 "Globals.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 25 | #include "NEON/NEAccessor.h" |
Moritz Pflanzer | 5b51229 | 2017-06-21 15:54:07 +0100 | [diff] [blame] | 26 | #include "PaddingCalculator.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 27 | #include "TensorLibrary.h" |
| 28 | #include "TypePrinter.h" |
| 29 | #include "Utils.h" |
| 30 | #include "validation/Datasets.h" |
| 31 | #include "validation/Reference.h" |
| 32 | #include "validation/Validation.h" |
| 33 | |
| 34 | #include "arm_compute/core/Helpers.h" |
| 35 | #include "arm_compute/core/Types.h" |
| 36 | #include "arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h" |
| 37 | #include "arm_compute/runtime/Tensor.h" |
| 38 | #include "arm_compute/runtime/TensorAllocator.h" |
| 39 | |
| 40 | #include "boost_wrapper.h" |
| 41 | |
| 42 | #include <random> |
| 43 | #include <string> |
| 44 | |
| 45 | using namespace arm_compute; |
| 46 | using namespace arm_compute::test; |
| 47 | using namespace arm_compute::test::neon; |
| 48 | using namespace arm_compute::test::validation; |
| 49 | |
| 50 | namespace |
| 51 | { |
| 52 | /** Compute Neon arithmetic subtraction function. |
| 53 | * |
| 54 | * @param[in] shape Shape of the input and output tensors. |
| 55 | * @param[in] dt_in0 Data type of first input tensor. |
| 56 | * @param[in] dt_in1 Data type of second input tensor. |
| 57 | * @param[in] dt_out Data type of the output tensor. |
| 58 | * @param[in] policy Overflow policy of the operation. |
| 59 | * |
| 60 | * @return Computed output tensor. |
| 61 | */ |
| 62 | Tensor compute_arithmetic_subtraction(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy policy) |
| 63 | { |
| 64 | // Create tensors |
Moritz Pflanzer | 94450f1 | 2017-06-30 12:48:43 +0100 | [diff] [blame] | 65 | Tensor src1 = create_tensor<Tensor>(shape, dt_in0); |
| 66 | Tensor src2 = create_tensor<Tensor>(shape, dt_in1); |
| 67 | Tensor dst = create_tensor<Tensor>(shape, dt_out); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 68 | |
| 69 | // Create and configure function |
| 70 | NEArithmeticSubtraction sub; |
| 71 | sub.configure(&src1, &src2, &dst, policy); |
| 72 | |
| 73 | // Allocate tensors |
| 74 | src1.allocator()->allocate(); |
| 75 | src2.allocator()->allocate(); |
| 76 | dst.allocator()->allocate(); |
| 77 | |
| 78 | BOOST_TEST(!src1.info()->is_resizable()); |
| 79 | BOOST_TEST(!src2.info()->is_resizable()); |
| 80 | BOOST_TEST(!dst.info()->is_resizable()); |
| 81 | |
| 82 | // Fill tensors |
| 83 | library->fill_tensor_uniform(NEAccessor(src1), 0); |
| 84 | library->fill_tensor_uniform(NEAccessor(src2), 1); |
| 85 | |
| 86 | // Compute function |
| 87 | sub.run(); |
| 88 | |
| 89 | return dst; |
| 90 | } |
| 91 | |
| 92 | void validate_configuration(const Tensor &src1, const Tensor &src2, Tensor &dst, TensorShape shape, ConvertPolicy policy) |
| 93 | { |
| 94 | BOOST_TEST(src1.info()->is_resizable()); |
| 95 | BOOST_TEST(src2.info()->is_resizable()); |
| 96 | BOOST_TEST(dst.info()->is_resizable()); |
| 97 | |
| 98 | // Create and configure function |
| 99 | NEArithmeticSubtraction sub; |
| 100 | sub.configure(&src1, &src2, &dst, policy); |
| 101 | |
| 102 | // Validate valid region |
| 103 | const ValidRegion valid_region = shape_to_valid_region(shape); |
| 104 | validate(src1.info()->valid_region(), valid_region); |
| 105 | validate(src2.info()->valid_region(), valid_region); |
| 106 | validate(dst.info()->valid_region(), valid_region); |
| 107 | |
| 108 | // Validate padding |
Moritz Pflanzer | 2509fba | 2017-06-23 14:15:03 +0100 | [diff] [blame] | 109 | const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 110 | validate(src1.info()->padding(), padding); |
| 111 | validate(src2.info()->padding(), padding); |
| 112 | validate(dst.info()->padding(), padding); |
| 113 | } |
| 114 | } // namespace |
| 115 | |
| 116 | #ifndef DOXYGEN_SKIP_THIS |
| 117 | BOOST_AUTO_TEST_SUITE(NEON) |
| 118 | BOOST_AUTO_TEST_SUITE(ArithmeticSubtraction) |
| 119 | |
| 120 | BOOST_AUTO_TEST_SUITE(U8) |
| 121 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| 122 | BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 123 | shape, policy) |
| 124 | { |
| 125 | // Create tensors |
Moritz Pflanzer | 94450f1 | 2017-06-30 12:48:43 +0100 | [diff] [blame] | 126 | Tensor src1 = create_tensor<Tensor>(shape, DataType::U8); |
| 127 | Tensor src2 = create_tensor<Tensor>(shape, DataType::U8); |
| 128 | Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 129 | |
| 130 | validate_configuration(src1, src2, dst, shape, policy); |
| 131 | } |
| 132 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| 133 | BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 134 | shape, policy) |
| 135 | { |
| 136 | // Compute function |
| 137 | Tensor dst = compute_arithmetic_subtraction(shape, DataType::U8, DataType::U8, DataType::U8, policy); |
| 138 | |
| 139 | // Compute reference |
| 140 | RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::U8, DataType::U8, DataType::U8, policy); |
| 141 | |
| 142 | // Validate output |
| 143 | validate(NEAccessor(dst), ref_dst); |
| 144 | } |
| 145 | BOOST_AUTO_TEST_SUITE_END() |
| 146 | |
| 147 | BOOST_AUTO_TEST_SUITE(S16) |
| 148 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| 149 | BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 150 | shape, dt, policy) |
| 151 | { |
| 152 | // Create tensors |
Moritz Pflanzer | 94450f1 | 2017-06-30 12:48:43 +0100 | [diff] [blame] | 153 | Tensor src1 = create_tensor<Tensor>(shape, dt); |
| 154 | Tensor src2 = create_tensor<Tensor>(shape, DataType::S16); |
| 155 | Tensor dst = create_tensor<Tensor>(shape, DataType::S16); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 156 | |
| 157 | validate_configuration(src1, src2, dst, shape, policy); |
| 158 | } |
| 159 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| 160 | BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 161 | shape, dt, policy) |
| 162 | { |
| 163 | // Compute function |
| 164 | Tensor dst = compute_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy); |
| 165 | |
| 166 | // Compute reference |
| 167 | RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy); |
| 168 | |
| 169 | // Validate output |
| 170 | validate(NEAccessor(dst), ref_dst); |
| 171 | } |
| 172 | BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| 173 | BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 174 | shape, dt, policy) |
| 175 | { |
| 176 | // Compute function |
| 177 | Tensor dst = compute_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy); |
| 178 | |
| 179 | // Compute reference |
| 180 | RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, dt, DataType::S16, DataType::S16, policy); |
| 181 | |
| 182 | // Validate output |
| 183 | validate(NEAccessor(dst), ref_dst); |
| 184 | } |
| 185 | BOOST_AUTO_TEST_SUITE_END() |
| 186 | |
| 187 | BOOST_AUTO_TEST_SUITE(F32) |
| 188 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| 189 | BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 190 | shape, policy) |
| 191 | { |
| 192 | // Create tensors |
Moritz Pflanzer | 94450f1 | 2017-06-30 12:48:43 +0100 | [diff] [blame] | 193 | Tensor src1 = create_tensor<Tensor>(shape, DataType::F32); |
| 194 | Tensor src2 = create_tensor<Tensor>(shape, DataType::F32); |
| 195 | Tensor dst = create_tensor<Tensor>(shape, DataType::F32); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 196 | |
| 197 | validate_configuration(src1, src2, dst, shape, policy); |
| 198 | } |
| 199 | BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| 200 | BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape) |
| 201 | { |
| 202 | // Compute function |
| 203 | Tensor dst = compute_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, ConvertPolicy::WRAP); |
| 204 | |
| 205 | // Compute reference |
| 206 | RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, ConvertPolicy::WRAP); |
| 207 | |
| 208 | // Validate output |
| 209 | validate(NEAccessor(dst), ref_dst); |
| 210 | } |
| 211 | BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| 212 | BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ ConvertPolicy::SATURATE, ConvertPolicy::WRAP }), |
| 213 | shape, policy) |
| 214 | { |
| 215 | // Compute function |
| 216 | Tensor dst = compute_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, policy); |
| 217 | |
| 218 | // Compute reference |
| 219 | RawTensor ref_dst = Reference::compute_reference_arithmetic_subtraction(shape, DataType::F32, DataType::F32, DataType::F32, policy); |
| 220 | |
| 221 | // Validate output |
| 222 | validate(NEAccessor(dst), ref_dst); |
| 223 | } |
| 224 | BOOST_AUTO_TEST_SUITE_END() |
| 225 | |
| 226 | BOOST_AUTO_TEST_SUITE_END() |
| 227 | BOOST_AUTO_TEST_SUITE_END() |
| 228 | #endif |