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/*
* Copyright (c) 2018-2021, 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/NEArgMinMaxLayer.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/functions/NECast.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/Tensor.h"
#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
namespace arm_compute
{
struct NEArgMinMaxLayer::Impl
{
MemoryGroup memory_group{};
std::shared_ptr<IMemoryManager> memory_manager{};
std::unique_ptr<NEReductionOperation> reduction_function{};
std::unique_ptr<NECast> cast_function{};
std::unique_ptr<Tensor> tmp_reduction_result{};
};
NEArgMinMaxLayer::~NEArgMinMaxLayer() = default;
NEArgMinMaxLayer::NEArgMinMaxLayer(std::shared_ptr<IMemoryManager> memory_manager) : _impl(std::make_unique<Impl>())
{
_impl->memory_manager = std::move(memory_manager);
}
void NEArgMinMaxLayer::configure(ITensor *input, int axis, ITensor *output, const ReductionOperation &op)
{
ARM_COMPUTE_LOG_PARAMS(input, axis, output, op);
_impl->reduction_function = std::make_unique<NEReductionOperation>();
if (output->info() &&
(output->info()->data_type() == DataType::S64 || output->info()->data_type() == DataType::U64))
{
_impl->memory_group = MemoryGroup(std::move(_impl->memory_manager));
_impl->cast_function = std::make_unique<NECast>();
_impl->tmp_reduction_result = std::make_unique<Tensor>();
_impl->reduction_function->configure(input, _impl->tmp_reduction_result.get(), axis, op, false);
_impl->cast_function->configure(_impl->tmp_reduction_result.get(), output, ConvertPolicy::SATURATE);
_impl->memory_group.manage(_impl->tmp_reduction_result.get());
_impl->tmp_reduction_result->allocator()->allocate();
}
else
{
_impl->reduction_function->configure(input, output, axis, op, false);
}
}
Status
NEArgMinMaxLayer::validate(const ITensorInfo *input, int axis, const ITensorInfo *output, const ReductionOperation &op)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(op != ReductionOperation::ARG_IDX_MAX && op != ReductionOperation::ARG_IDX_MIN,
"Invalid operation");
return NEReductionOperation::validate(input, output, axis, op, false);
}
void NEArgMinMaxLayer::run()
{
MemoryGroupResourceScope scope_mg(_impl->memory_group);
_impl->reduction_function->run();
if (_impl->tmp_reduction_result != nullptr)
{
_impl->cast_function->run();
}
}
} // namespace arm_compute
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