| /* |
| * Copyright (c) 2017 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 "AssetsLibrary.h" |
| #include "Globals.h" |
| #include "NEON/Accessor.h" |
| #include "NEON/Helper.h" |
| #include "PaddingCalculator.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "validation/Datasets.h" |
| #include "validation/Reference.h" |
| #include "validation/Validation.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| |
| #include "boost_wrapper.h" |
| |
| #include <random> |
| #include <string> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Compute Neon MinMaxLocation function. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * @param[in] dt_in Data type of first input tensor. |
| * @param[out] min Minimum value of tensor |
| * @param[out] max Maximum value of tensor |
| * @param[out] min_loc Array with locations of minimum values |
| * @param[out] max_loc Array with locations of maximum values |
| * @param[out] min_count Number of minimum values found |
| * @param[out] max_count Number of maximum values found |
| * |
| * @return Computed output tensor. |
| */ |
| |
| void compute_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max, |
| Coordinates2DArray &min_loc, Coordinates2DArray &max_loc, uint32_t &min_count, uint32_t &max_count) |
| { |
| // Create tensor |
| Tensor src = create_tensor<Tensor>(shape, dt_in); |
| |
| // Create and configure min_max_location configure function |
| NEMinMaxLocation min_max_loc; |
| min_max_loc.configure(&src, min, max, &min_loc, &max_loc, &min_count, &max_count); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| |
| // Compute function |
| min_max_loc.run(); |
| } |
| |
| void validate_configuration(const Tensor &src, TensorShape shape) |
| { |
| BOOST_TEST(src.info()->is_resizable()); |
| |
| // Create output storage |
| int32_t min; |
| int32_t max; |
| Coordinates2DArray min_loc; |
| Coordinates2DArray max_loc; |
| uint32_t min_count; |
| uint32_t max_count; |
| |
| // Create and configure function |
| NEMinMaxLocation min_max_loc; |
| min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc, &min_count, &max_count); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(src.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding(); |
| validate(src.info()->padding(), padding); |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(MinMaxLocation) |
| |
| BOOST_AUTO_TEST_SUITE(Integer) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, dt) |
| { |
| // Create tensor |
| Tensor src = create_tensor<Tensor>(shape, dt); |
| src.info()->set_format(dt == DataType::U8 ? Format::U8 : Format::S16); |
| |
| validate_configuration(src, shape); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, dt) |
| { |
| // Create output storage |
| int32_t min; |
| int32_t max; |
| Coordinates2DArray min_loc(shape.total_size()); |
| Coordinates2DArray max_loc(shape.total_size()); |
| uint32_t min_count; |
| uint32_t max_count; |
| |
| int32_t ref_min; |
| int32_t ref_max; |
| Coordinates2DArray ref_min_loc(shape.total_size()); |
| Coordinates2DArray ref_max_loc(shape.total_size()); |
| uint32_t ref_min_count; |
| uint32_t ref_max_count; |
| |
| // Compute function |
| compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count); |
| |
| // Compute reference |
| Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count); |
| |
| // Validate output |
| validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }), |
| shape, dt) |
| { |
| // Create output storage |
| int32_t min; |
| int32_t max; |
| Coordinates2DArray min_loc(shape.total_size()); |
| Coordinates2DArray max_loc(shape.total_size()); |
| uint32_t min_count; |
| uint32_t max_count; |
| |
| int32_t ref_min; |
| int32_t ref_max; |
| Coordinates2DArray ref_min_loc(shape.total_size()); |
| Coordinates2DArray ref_max_loc(shape.total_size()); |
| uint32_t ref_min_count; |
| uint32_t ref_max_count; |
| |
| // Compute function |
| compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count); |
| |
| // Compute reference |
| Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count); |
| |
| // Validate output |
| validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes() * DataType::F32, |
| shape, dt) |
| { |
| // Create output storage |
| float min; |
| float max; |
| Coordinates2DArray min_loc(shape.total_size()); |
| Coordinates2DArray max_loc(shape.total_size()); |
| uint32_t min_count; |
| uint32_t max_count; |
| |
| float ref_min; |
| float ref_max; |
| Coordinates2DArray ref_min_loc(shape.total_size()); |
| Coordinates2DArray ref_max_loc(shape.total_size()); |
| uint32_t ref_min_count; |
| uint32_t ref_max_count; |
| |
| // Compute function |
| compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count); |
| |
| // Compute reference |
| Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count); |
| |
| // Validate output |
| validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |