| /* |
| * 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 "Globals.h" |
| #include "NEON/NEAccessor.h" |
| #include "PaddingCalculator.h" |
| #include "TensorLibrary.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/NEBitwiseAnd.h" |
| #include "arm_compute/runtime/SubTensor.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::neon; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Compute Neon bitwise and function. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_bitwise_and(const TensorShape &shape) |
| { |
| // Create tensors |
| Tensor src1 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor src2 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
| |
| // Create and configure function |
| NEBitwiseAnd band; |
| band.configure(&src1, &src2, &dst); |
| |
| // Allocate tensors |
| src1.allocator()->allocate(); |
| src2.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src1.info()->is_resizable()); |
| BOOST_TEST(!src2.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(NEAccessor(src1), 0); |
| library->fill_tensor_uniform(NEAccessor(src2), 1); |
| |
| // Compute function |
| band.run(); |
| |
| return dst; |
| } |
| |
| /** Compute Neon bitwise and function that splits the input and output in two subtensor. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_bitwise_and_subtensor(const TensorShape &shape) |
| { |
| // Create tensors |
| Tensor src1 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor src2 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
| |
| // Create SubTensors |
| int coord_z = shape.z() / 2; |
| TensorShape sub_shape = shape; |
| sub_shape.set(2, coord_z); |
| |
| SubTensor src1_sub1(&src1, sub_shape, Coordinates()); |
| SubTensor src1_sub2(&src1, sub_shape, Coordinates(0, 0, coord_z)); |
| SubTensor src2_sub1(&src2, sub_shape, Coordinates()); |
| SubTensor src2_sub2(&src2, sub_shape, Coordinates(0, 0, coord_z)); |
| SubTensor dst_sub1(&dst, sub_shape, Coordinates()); |
| SubTensor dst_sub2(&dst, sub_shape, Coordinates(0, 0, coord_z)); |
| |
| // Create and configure function |
| NEBitwiseAnd band1, band2; |
| band1.configure(&src1_sub1, &src2_sub1, &dst_sub1); |
| band2.configure(&src1_sub2, &src2_sub2, &dst_sub2); |
| |
| // Allocate tensors |
| src1.allocator()->allocate(); |
| src2.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src1.info()->is_resizable()); |
| BOOST_TEST(!src2.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| std::uniform_int_distribution<> distribution(0, 255); |
| library->fill(NEAccessor(src1), distribution, 0); |
| library->fill(NEAccessor(src2), distribution, 1); |
| |
| // Compute function |
| band1.run(); |
| band2.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(BitwiseAnd) |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(Configuration, SmallShapes() + LargeShapes(), shape) |
| { |
| // Create tensors |
| Tensor src1 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor src2 = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, DataType::U8); |
| |
| BOOST_TEST(src1.info()->is_resizable()); |
| BOOST_TEST(src2.info()->is_resizable()); |
| BOOST_TEST(dst.info()->is_resizable()); |
| |
| // Create and configure function |
| NEBitwiseAnd band; |
| band.configure(&src1, &src2, &dst); |
| |
| // Validate valid region |
| const ValidRegion valid_region = shape_to_valid_region(shape); |
| validate(src1.info()->valid_region(), valid_region); |
| validate(src2.info()->valid_region(), valid_region); |
| validate(dst.info()->valid_region(), valid_region); |
| |
| // Validate padding |
| const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); |
| validate(src1.info()->padding(), padding); |
| validate(src2.info()->padding(), padding); |
| validate(dst.info()->padding(), padding); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, SmallShapes(), shape) |
| { |
| // Compute function |
| Tensor dst = compute_bitwise_and(shape); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_AUTO_TEST_CASE(RunSubTensor) |
| { |
| // Create shape |
| TensorShape shape(27U, 35U, 8U, 2U); |
| |
| // Compute function |
| Tensor dst = compute_bitwise_and_subtensor(shape); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst); |
| } |
| |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) |
| BOOST_DATA_TEST_CASE(RunLarge, LargeShapes(), shape) |
| { |
| // Compute function |
| Tensor dst = compute_bitwise_and(shape); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_bitwise_and(shape); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |