| /* |
| * 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 "CL/CLAccessor.h" |
| #include "Globals.h" |
| #include "PaddingCalculator.h" |
| #include "TypePrinter.h" |
| #include "Utils.h" |
| #include "dataset/ThresholdDataset.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/CL/CLTensor.h" |
| #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| #include "arm_compute/runtime/CL/functions/CLThreshold.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 Threshold function. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * @param[in] threshold Threshold. When the threshold type is RANGE, this is used as the lower threshold. |
| * @param[in] false_value value to set when the condition is not respected. |
| * @param[in] true_value value to set when the condition is respected. |
| * @param[in] type Thresholding type. Either RANGE or BINARY. |
| * @param[in] upper Upper threshold. Only used when the thresholding type is RANGE. |
| * |
| * @return Computed output tensor. |
| */ |
| CLTensor compute_threshold(const TensorShape &shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) |
| { |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); |
| |
| // Create and configure function |
| CLThreshold thrsh; |
| thrsh.configure(&src, &dst, threshold, false_value, true_value, type, upper); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(CLAccessor(src), 0); |
| |
| // Compute function |
| thrsh.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(CL) |
| BOOST_AUTO_TEST_SUITE(Threshold) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, |
| (SmallShapes() + LargeShapes()) * ThresholdDataset(), |
| shape, threshold_conf) |
| { |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, DataType::U8); |
| CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8); |
| |
| BOOST_TEST(src.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| CLThreshold cl_threshold; |
| cl_threshold.configure(&src, &dst, threshold_conf.threshold, threshold_conf.false_value, threshold_conf.true_value, threshold_conf.type, threshold_conf.upper); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(src.info()->valid_region(), valid_region); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(src.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, |
| SmallShapes() * ThresholdDataset(), |
| shape, threshold_conf) |
| { |
| // Compute function |
| CLTensor dst = compute_threshold(shape, threshold_conf.threshold, threshold_conf.false_value, threshold_conf.true_value, threshold_conf.type, threshold_conf.upper); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_threshold(shape, threshold_conf.threshold, threshold_conf.false_value, threshold_conf.true_value, threshold_conf.type, threshold_conf.upper); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, |
| LargeShapes() * ThresholdDataset(), |
| shape, threshold_conf) |
| { |
| // Compute function |
| CLTensor dst = compute_threshold(shape, threshold_conf.threshold, threshold_conf.false_value, threshold_conf.true_value, threshold_conf.type, threshold_conf.upper); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_threshold(shape, threshold_conf.threshold, threshold_conf.false_value, threshold_conf.true_value, threshold_conf.type, threshold_conf.upper); |
| |
| // Validate output |
| validate(CLAccessor(dst), ref_dst); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |