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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 "CL/CLAccessor.h"
#include "TypePrinter.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "validation/Datasets.h"
#include "validation/Reference.h"
#include "validation/Validation.h"
#include "arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h"
using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::validation;
namespace
{
const float tolerance_f32 = 1.f; /**< Tolerance value for comparing reference's output against implementation's output for float input */
/** Compute CL pixel-wise multiplication 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 (Optional) Fixed point position that expresses the number of bits for the fractional part of the number.
*
* @return Computed output tensor.
*/
CLTensor 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
CLTensor src1 = create_tensor<CLTensor>(shape, dt_in0, 1, fixed_point_position);
CLTensor src2 = create_tensor<CLTensor>(shape, dt_in1, 1, fixed_point_position);
CLTensor dst = create_tensor<CLTensor>(shape, dt_out, 1, fixed_point_position);
// Create and configure function
CLPixelWiseMultiplication 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(CLAccessor(src1), 0);
library->fill_tensor_uniform(CLAccessor(src2), 1);
// Compute function
multiply.run();
return dst;
}
} // namespace
#ifndef DOXYGEN_SKIP_THIS
BOOST_AUTO_TEST_SUITE(CL)
BOOST_AUTO_TEST_SUITE(PixelWiseMultiplication)
BOOST_AUTO_TEST_SUITE(Float)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F32 *ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP,
shape, dt, convert_policy, rounding_policy)
{
constexpr float scale = 1.f / 255.f;
// Compute function
CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);
// Compute reference
RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);
// Validate output
validate(CLAccessor(dst), ref_dst, tolerance_f32);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE(Quantized)
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
CLTensor 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(CLAccessor(dst), ref_dst);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE(QS16)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS16 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 15),
shape, dt, convert_policy, rounding_policy, fixed_point_position)
{
// Compute function
CLTensor 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(CLAccessor(dst), ref_dst);
}
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
#endif // DOXYGEN_SKIP_THIS
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