diff options
Diffstat (limited to 'tests/validation/NEON/PixelWiseMultiplication.cpp')
| -rw-r--r-- | tests/validation/NEON/PixelWiseMultiplication.cpp | 428 |
1 files changed, 428 insertions, 0 deletions
diff --git a/tests/validation/NEON/PixelWiseMultiplication.cpp b/tests/validation/NEON/PixelWiseMultiplication.cpp new file mode 100644 index 0000000000..c6c2792126 --- /dev/null +++ b/tests/validation/NEON/PixelWiseMultiplication.cpp @@ -0,0 +1,428 @@ +/* + * 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/Helper.h" +#include "NEON/NEAccessor.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/NEPixelWiseMultiplication.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 arithmetic addition function. + * + * @param[in] shape Shape of the input and output tensors. + * @param[in] dt_in0 Data type of first input tensor. + * @param[in] dt_in1 Data type of second input tensor. + * @param[in] dt_out Data type of the output tensor. + * @param[in] scale Non-negative scale. + * @param[in] convert_policy Overflow policy of the operation. + * @param[in] rounding_policy Rounding policy of the operation. + * @param[in] fixed_point_position Fixed point position that expresses the number of bits for the fractional part of the number. + * + * @return Computed output tensor. + */ +Tensor compute_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, + int fixed_point_position = 0) +{ + // Create tensors + Tensor src1 = create_tensor(shape, dt_in0, 1, fixed_point_position); + Tensor src2 = create_tensor(shape, dt_in1, 1, fixed_point_position); + Tensor dst = create_tensor(shape, dt_out, 1, fixed_point_position); + + // Create and configure function + NEPixelWiseMultiplication multiply; + multiply.configure(&src1, &src2, &dst, scale, convert_policy, rounding_policy); + + // 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 + multiply.run(); + + return dst; +} + +void validate_configuration(const Tensor &src1, const Tensor &src2, Tensor &dst, TensorShape shape, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy) +{ + BOOST_TEST(src1.info()->is_resizable()); + BOOST_TEST(src2.info()->is_resizable()); + BOOST_TEST(dst.info()->is_resizable()); + + // Create and configure function + NEPixelWiseMultiplication multiply; + multiply.configure(&src1, &src2, &dst, scale, convert_policy, rounding_policy); + + // 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(0, required_padding(shape.x(), 16), 0, 0); + validate(src1.info()->padding(), padding); + validate(src2.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} +} // namespace + +#ifndef DOXYGEN_SKIP_THIS +BOOST_AUTO_TEST_SUITE(NEON) +BOOST_AUTO_TEST_SUITE(PixelWiseMultiplication) + +BOOST_AUTO_TEST_SUITE(U8) + +BOOST_AUTO_TEST_SUITE(Scale255) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, DataType::U8); + Tensor src2 = create_tensor(shape, DataType::U8); + Tensor dst = create_tensor(shape, DataType::U8); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} + +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * (1.f / 255.f) * ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, DataType::U8, scale, convert_policy, + rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, + DataType::U8, scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 1.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 1.f, 0.f, std::numeric_limits<uint8_t>::max()); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * (1.f / 255.f) * ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, DataType::U8, scale, convert_policy, + rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, + DataType::U8, scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 1.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 1.f, 0.f, std::numeric_limits<uint8_t>::max()); +} +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(ScaleOther) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) + * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, DataType::U8); + Tensor src2 = create_tensor(shape, DataType::U8); + Tensor dst = create_tensor(shape, DataType::U8); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} + +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, DataType::U8, scale, convert_policy, + rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, + DataType::U8, scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, DataType::U8, scale, convert_policy, + rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::U8, DataType::U8, + DataType::U8, scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(S16) +BOOST_AUTO_TEST_SUITE(Scale255) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, dt); + Tensor src2 = create_tensor(shape, DataType::S16); + Tensor dst = create_tensor(shape, DataType::S16); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 2.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 2.f, 0.f, std::numeric_limits<int16_t>::max()); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, + scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 2.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 2.f, 0.f, std::numeric_limits<int16_t>::max()); +} +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(ScaleOther) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) + * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, dt); + Tensor src2 = create_tensor(shape, DataType::S16); + Tensor dst = create_tensor(shape, DataType::S16); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }) * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, dt, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, DataType::S16, DataType::S16, + scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(F32) +BOOST_AUTO_TEST_SUITE(Scale255) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, DataType::F32); + Tensor src2 = create_tensor(shape, DataType::F32); + Tensor dst = create_tensor(shape, DataType::F32); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 1.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 1.f, 0.f, std::numeric_limits<int16_t>::max()); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * (1.f / 255.f) * ConvertPolicies() + * RoundingPolicy::TO_NEAREST_UP, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, + scale, convert_policy, rounding_policy); + + // Validate output + // Allow tolerance value of 1.f to counteract imprecision due to 32-bit float conversion + validate(NEAccessor(dst), ref_dst, 1.f, 0.f, std::numeric_limits<int16_t>::max()); +} +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(ScaleOther) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) + * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Create tensors + Tensor src1 = create_tensor(shape, DataType::F32); + Tensor src2 = create_tensor(shape, DataType::F32); + Tensor dst = create_tensor(shape, DataType::F32); + + validate_configuration(src1, src2, dst, shape, scale, convert_policy, rounding_policy); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly")) +BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ 1.f, 1.f / 32768.f }) * ConvertPolicies() + * RoundingPolicy::TO_ZERO, + shape, scale, convert_policy, rounding_policy) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, scale, convert_policy, rounding_policy); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, DataType::F32, DataType::F32, DataType::F32, + scale, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE(QS8) +BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) +BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS8 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 7), + shape, dt, convert_policy, rounding_policy, fixed_point_position) +{ + // Compute function + Tensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position); + + // Compute reference + RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy); + + // Validate output + validate(NEAccessor(dst), ref_dst); +} +BOOST_AUTO_TEST_SUITE_END() + +BOOST_AUTO_TEST_SUITE_END() +BOOST_AUTO_TEST_SUITE_END() +#endif |