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/*
* Copyright (c) 2018-2021 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/NEConcatenateLayer.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/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/cpu/operators/CpuConcatenate.h"
namespace arm_compute
{
struct NEConcatenateLayer::Impl
{
std::vector<const ITensor *> srcs{};
ITensor *dst{nullptr};
unsigned int num_inputs{0};
unsigned int axis{0};
std::unique_ptr<cpu::CpuConcatenate> op{nullptr};
};
NEConcatenateLayer::NEConcatenateLayer() : _impl(std::make_unique<Impl>())
{
}
NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&) = default;
NEConcatenateLayer &NEConcatenateLayer::operator=(NEConcatenateLayer &&) = default;
NEConcatenateLayer::~NEConcatenateLayer() = default;
void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, ITensor *output, size_t axis)
{
ARM_COMPUTE_ERROR_ON(output == nullptr);
_impl->srcs = inputs_vector;
_impl->dst = output;
_impl->axis = axis;
_impl->num_inputs = inputs_vector.size();
_impl->op = std::make_unique<cpu::CpuConcatenate>();
std::vector<const ITensorInfo *> inputs_vector_info;
for (unsigned int i = 0; i < inputs_vector.size(); ++i)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(inputs_vector.at(i));
inputs_vector_info.emplace_back(inputs_vector.at(i)->info());
}
_impl->op->configure(inputs_vector_info, _impl->dst->info(), axis);
}
Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector,
const ITensorInfo *output,
size_t axis)
{
return cpu::CpuConcatenate::validate(inputs_vector, output, axis);
}
void NEConcatenateLayer::run()
{
ITensorPack pack;
for (unsigned i = 0; i < _impl->num_inputs; ++i)
{
pack.add_tensor(TensorType::ACL_SRC_VEC + i, _impl->srcs.at(i));
}
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
} // namespace arm_compute
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