| /* |
| * Copyright (c) 2017-2019 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| #include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h" |
| #include "tests/NEON/Accessor.h" |
| #include "tests/NEON/ArrayAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/MinMaxLocationFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| TEST_SUITE(NEON) |
| TEST_SUITE(MinMaxLocation) |
| |
| template <typename T> |
| using NEMinMaxLocationFixture = MinMaxLocationValidationFixture<Tensor, Accessor, Array<Coordinates2D>, ArrayAccessor<Coordinates2D>, NEMinMaxLocation, T>; |
| |
| void validate_configuration(const Tensor &src, TensorShape shape) |
| { |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create output storage |
| int32_t min{}; |
| int32_t max{}; |
| Coordinates2DArray min_loc(shape.total_size()); |
| Coordinates2DArray max_loc(shape.total_size()); |
| |
| // Create and configure function |
| NEMinMaxLocation min_max_loc; |
| min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding(); |
| validate(src.info()->padding(), padding); |
| } |
| |
| TEST_SUITE(U8) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| src.info()->set_format(Format::U8); |
| |
| validate_configuration(src, shape); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", |
| DataType::U8))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType", |
| DataType::U8))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| TEST_SUITE_END() // U8 |
| |
| TEST_SUITE(S16) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| src.info()->set_format(Format::S16); |
| |
| validate_configuration(src, shape); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", |
| DataType::S16))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType", |
| DataType::S16))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| TEST_SUITE_END() // S16 |
| |
| TEST_SUITE(Float) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, data_type); |
| src.info()->set_format(Format::F32); |
| |
| validate_configuration(src, shape); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| validate_min_max_loc(_target, _reference); |
| } |
| |
| TEST_SUITE_END() // F32 |
| |
| TEST_SUITE_END() // MinMaxLocation |
| TEST_SUITE_END() // NEON |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |