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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/CL/functions/CLConcatenateLayer.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "src/common/utils/Log.h"
#include "src/core/CL/ICLKernel.h"
#include "src/gpu/cl/operators/ClConcatenate.h"
namespace arm_compute
{
struct CLConcatenateLayer::Impl
{
std::vector<const ICLTensor *> srcs{};
ICLTensor *dst{nullptr};
unsigned int num_inputs{0};
unsigned int axis{0};
std::unique_ptr<opencl::ClConcatenate> op{nullptr};
};
CLConcatenateLayer::CLConcatenateLayer() : _impl(std::make_unique<Impl>())
{
}
CLConcatenateLayer::CLConcatenateLayer(CLConcatenateLayer &&) = default;
CLConcatenateLayer &CLConcatenateLayer::operator=(CLConcatenateLayer &&) = default;
CLConcatenateLayer::~CLConcatenateLayer() = default;
void CLConcatenateLayer::configure(std::vector<const ICLTensor *> &inputs_vector, ICLTensor *output, size_t axis)
{
configure(CLKernelLibrary::get().get_compile_context(), inputs_vector, output, axis);
}
void CLConcatenateLayer::configure(const CLCompileContext &compile_context,
std::vector<const ICLTensor *> &inputs_vector,
ICLTensor *output,
size_t axis)
{
ARM_COMPUTE_ERROR_ON(output == nullptr);
ARM_COMPUTE_LOG_PARAMS(inputs_vector, output, axis);
_impl->srcs = inputs_vector;
_impl->dst = output;
_impl->axis = axis;
_impl->num_inputs = inputs_vector.size();
_impl->op = std::make_unique<opencl::ClConcatenate>();
std::vector<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(compile_context, inputs_vector_info, _impl->dst->info(), axis);
}
Status CLConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector,
const ITensorInfo *output,
size_t axis)
{
return opencl::ClConcatenate::validate(inputs_vector, output, axis);
}
void CLConcatenateLayer::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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