xref: /aosp_15_r20/external/ComputeLibrary/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)

/*
 * Copyright (c) 2017-2021 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/CLDirectConvolutionLayer.h"

#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "src/gpu/cl/operators/ClActivation.h"
#include "src/gpu/cl/operators/ClDirectConv2d.h"

#include "src/common/utils/Log.h"

namespace arm_compute
{
struct CLDirectConvolutionLayer::Impl
{
    const ICLTensor                        *src{ nullptr };
    const ICLTensor                        *weights{ nullptr };
    const ICLTensor                        *biases{ nullptr };
    ICLTensor                              *dst{ nullptr };
    std::unique_ptr<opencl::ClDirectConv2d> op{ nullptr };
};

CLDirectConvolutionLayer::CLDirectConvolutionLayer()
    : _impl(std::make_unique<Impl>())
{
}
CLDirectConvolutionLayer::CLDirectConvolutionLayer(CLDirectConvolutionLayer &&) = default;
CLDirectConvolutionLayer &CLDirectConvolutionLayer::operator=(CLDirectConvolutionLayer &&) = default;
CLDirectConvolutionLayer::~CLDirectConvolutionLayer()                                      = default;

void CLDirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info)
{
    configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, act_info);
}

void CLDirectConvolutionLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output,
                                         const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
    ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, act_info);

    _impl->src     = input;
    _impl->weights = weights;
    _impl->biases  = biases;
    _impl->dst     = output;

    _impl->op = std::make_unique<opencl::ClDirectConv2d>();
    _impl->op->configure(compile_context, input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, act_info);
}

Status CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
                                          const ActivationLayerInfo &act_info)
{
    return opencl::ClDirectConv2d::validate(input, weights, biases, output, conv_info, act_info);
}

void CLDirectConvolutionLayer::run()
{
    ITensorPack pack;
    pack.add_tensor(TensorType::ACL_SRC, _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);
}
}