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/*
* Copyright (c) 2023 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/NEAddMulAdd.h"
#include "arm_compute/runtime/Tensor.h"
#include "src/common/utils/Log.h"
#include "src/core/helpers/MemoryHelpers.h"
#include "src/cpu/operators/CpuAddMulAdd.h"
namespace arm_compute
{
struct NEAddMulAdd::Impl
{
std::unique_ptr<cpu::CpuAddMulAdd> op{nullptr};
WorkspaceData<Tensor> workspace_tensors{};
ITensorPack run_pack{};
MemoryGroup memory_group{};
};
NEAddMulAdd::NEAddMulAdd(std::shared_ptr<IMemoryManager> memory_manager) : _impl(std::make_unique<Impl>())
{
_impl->memory_group = MemoryGroup(std::move(memory_manager));
}
NEAddMulAdd::~NEAddMulAdd() = default;
void NEAddMulAdd::configure(ITensor *input1,
ITensor *input2,
ITensor *bn_mul,
ITensor *bn_add,
ITensor *add_output,
ITensor *final_output,
const ConvertPolicy policy,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_LOG_PARAMS(input1, input2, bn_mul, bn_add, add_output, final_output, policy, act_info);
_impl->op = std::make_unique<cpu::CpuAddMulAdd>();
_impl->op->configure(input1->info(), input2->info(), bn_mul->info(), bn_add->info(),
add_output != nullptr ? add_output->info() : nullptr, final_output->info(), policy, act_info);
_impl->run_pack = {
{TensorType::ACL_SRC_0, input1}, {TensorType::ACL_SRC_1, input2}, {TensorType::ACL_SRC_2, bn_mul},
{TensorType::ACL_SRC_3, bn_add}, {TensorType::ACL_DST_0, add_output}, {TensorType::ACL_DST_1, final_output},
};
_impl->workspace_tensors = manage_workspace<Tensor>(_impl->op->workspace(), _impl->memory_group, _impl->run_pack);
}
Status NEAddMulAdd::validate(const ITensorInfo *input1,
const ITensorInfo *input2,
const ITensorInfo *bn_mul,
const ITensorInfo *bn_add,
const ITensorInfo *add_output,
const ITensorInfo *final_output,
ConvertPolicy policy,
const ActivationLayerInfo &act_info)
{
return cpu::CpuAddMulAdd::validate(input1, input2, bn_mul, bn_add, add_output, final_output, policy, act_info);
}
void NEAddMulAdd::run()
{
_impl->op->run(_impl->run_pack);
}
} // namespace arm_compute
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