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/*
* Copyright (c) 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/CLConv3D.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "src/gpu/cl/operators/ClDirectConv3d.h"
namespace arm_compute
{
using namespace arm_compute::experimental;
struct CLConv3D::Impl
{
const ICLTensor *src{nullptr};
const ICLTensor *weights{nullptr};
const ICLTensor *biases{nullptr};
ICLTensor *dst{nullptr};
std::unique_ptr<opencl::ClDirectConv3d> op{nullptr};
};
CLConv3D::CLConv3D() : _impl(std::make_unique<Impl>())
{
}
CLConv3D::~CLConv3D() = default;
void CLConv3D::configure(const ICLTensor *src,
const ICLTensor *weights,
const ICLTensor *biases,
ICLTensor *dst,
const Conv3dInfo &conv3d_info)
{
configure(CLKernelLibrary::get().get_compile_context(), src, weights, biases, dst, conv3d_info);
}
void CLConv3D::configure(const CLCompileContext &compile_context,
const ICLTensor *src,
const ICLTensor *weights,
const ICLTensor *biases,
ICLTensor *dst,
const Conv3dInfo &conv3d_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, weights, dst);
ARM_COMPUTE_ERROR_THROW_ON(CLConv3D::validate(
src->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), dst->info(), conv3d_info));
_impl->src = src;
_impl->weights = weights;
_impl->biases = biases;
_impl->dst = dst;
_impl->op = std::make_unique<opencl::ClDirectConv3d>();
_impl->op->configure(compile_context, _impl->src->info(), _impl->weights->info(),
_impl->biases ? _impl->biases->info() : nullptr, _impl->dst->info(), conv3d_info);
}
Status CLConv3D::validate(const ITensorInfo *src,
const ITensorInfo *weights,
const ITensorInfo *biases,
const ITensorInfo *dst,
const Conv3dInfo &conv3d_info)
{
return opencl::ClDirectConv3d::validate(src, weights, biases, dst, conv3d_info);
}
void CLConv3D::run()
{
ITensorPack pack;
pack.add_tensor(TensorType::ACL_SRC_0, _impl->src);
pack.add_tensor(TensorType::ACL_SRC_1, _impl->weights);
pack.add_tensor(TensorType::ACL_SRC_2, _impl->biases);
pack.add_tensor(TensorType::ACL_DST, _impl->dst);
_impl->op->run(pack);
}
} // namespace arm_compute
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