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/*
* 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
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