blob: f7f443755497902ede61ef7214d84b6b8bca3d34 [file] [log] [blame]
/*
* Copyright (c) 2016-2020 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 "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h"
#include "arm_compute/core/ITensor.h"
#include "src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h"
#include "support/MemorySupport.h"
#include <utility>
namespace arm_compute
{
namespace experimental
{
void NEPixelWiseMultiplication::configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_UNUSED(act_info);
auto k = arm_compute::support::cpp14::make_unique<NEPixelWiseMultiplicationKernel>();
k->configure(input1, input2, output, scale, overflow_policy, rounding_policy);
_kernel = std::move(k);
}
Status NEPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
return NEPixelWiseMultiplicationKernel::validate(input1, input2, output, scale, overflow_policy, rounding_policy);
}
void NEComplexPixelWiseMultiplication::configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_UNUSED(act_info);
auto k = arm_compute::support::cpp14::make_unique<NEComplexPixelWiseMultiplicationKernel>();
k->configure(input1, input2, output);
_kernel = std::move(k);
}
Status NEComplexPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
return NEComplexPixelWiseMultiplicationKernel::validate(input1, input2, output);
}
} // namespace experimental
struct NEPixelWiseMultiplication::Impl
{
const ITensor *src_0{ nullptr };
const ITensor *src_1{ nullptr };
ITensor *dst{ nullptr };
std::unique_ptr<experimental::NEPixelWiseMultiplication> op{ nullptr };
};
NEPixelWiseMultiplication::NEPixelWiseMultiplication()
: _impl(support::cpp14::make_unique<Impl>())
{
}
NEPixelWiseMultiplication::NEPixelWiseMultiplication(NEPixelWiseMultiplication &&) = default;
NEPixelWiseMultiplication &NEPixelWiseMultiplication::operator=(NEPixelWiseMultiplication &&) = default;
NEPixelWiseMultiplication::~NEPixelWiseMultiplication() = default;
Status NEPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
const ActivationLayerInfo &act_info)
{
return experimental::NEPixelWiseMultiplication::validate(input1, input2, output, scale, overflow_policy, rounding_policy, act_info);
}
void NEPixelWiseMultiplication::configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
const ActivationLayerInfo &act_info)
{
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEPixelWiseMultiplication>();
_impl->op->configure(input1->info(), input2->info(), output->info(), scale, overflow_policy, rounding_policy, act_info);
}
void NEPixelWiseMultiplication::run()
{
ITensorPack pack;
pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
struct NEComplexPixelWiseMultiplication::Impl
{
ITensor *src_0{ nullptr };
ITensor *src_1{ nullptr };
ITensor *dst{ nullptr };
std::unique_ptr<experimental::NEComplexPixelWiseMultiplication> op{ nullptr };
};
NEComplexPixelWiseMultiplication::NEComplexPixelWiseMultiplication()
: _impl(support::cpp14::make_unique<Impl>())
{
}
NEComplexPixelWiseMultiplication::NEComplexPixelWiseMultiplication(NEComplexPixelWiseMultiplication &&) = default;
NEComplexPixelWiseMultiplication &NEComplexPixelWiseMultiplication::operator=(NEComplexPixelWiseMultiplication &&) = default;
NEComplexPixelWiseMultiplication::~NEComplexPixelWiseMultiplication() = default;
Status NEComplexPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
return experimental::NEComplexPixelWiseMultiplication::validate(input1, input2, output, act_info);
}
void NEComplexPixelWiseMultiplication::configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info)
{
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
_impl->op = arm_compute::support::cpp14::make_unique<experimental::NEComplexPixelWiseMultiplication>();
_impl->op->configure(input1->info(), input2->info(), output->info(), act_info);
}
void NEComplexPixelWiseMultiplication::run()
{
ITensorPack pack;
pack.add_tensor(TensorType::ACL_SRC_0, _impl->src_0);
pack.add_tensor(TensorType::ACL_SRC_1, _impl->src_1);
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
} // namespace arm_compute