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/*
* Copyright (c) 2018 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/graph/backends/CL/CLFunctionFactory.h"
#include "arm_compute/core/utils/misc/Cast.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/backends/FunctionHelpers.h"
#include "arm_compute/runtime/CL/CLFunctions.h"
using namespace arm_compute::utils::cast;
namespace arm_compute
{
namespace graph
{
namespace backends
{
/** Target specific information structure used to pass information to the layer templates */
struct CLTargetInfo
{
using TensorType = arm_compute::ICLTensor;
static Target TargetType;
};
Target CLTargetInfo::TargetType = Target::CL;
/** Collection of CL convolution functions */
struct CLConvolutionLayerFunctions
{
using GenericConvolutionLayer = CLConvolutionLayer;
using GEMMConvolutionLayer = CLGEMMConvolutionLayer;
using DirectConvolutionLayer = CLDirectConvolutionLayer;
using WinogradConvolutionLayer = CLWinogradConvolutionLayer;
};
/** Collection of CL depthwise convolution functions */
struct CLDepthwiseConvolutionLayerFunctions
{
using GenericDepthwiseConvolutionLayer = CLDepthwiseConvolutionLayer;
using DepthwiseConvolutionLayer3x3 = CLDepthwiseConvolutionLayer3x3;
};
/** Collection of CL element-wise functions */
struct CLEltwiseFunctions
{
using Addition = CLArithmeticAddition;
using Subtraction = CLArithmeticSubtraction;
using Multiplication = CLPixelWiseMultiplication;
};
std::unique_ptr<IFunction> CLFunctionFactory::create(INode *node, GraphContext &ctx)
{
if(node == nullptr)
{
return nullptr;
}
NodeType type = node->type();
switch(type)
{
case NodeType::ActivationLayer:
return detail::create_activation_layer<CLActivationLayer, CLTargetInfo>(*polymorphic_downcast<ActivationLayerNode *>(node));
case NodeType::BatchNormalizationLayer:
return detail::create_batch_normalization_layer<CLBatchNormalizationLayer, CLTargetInfo>(*polymorphic_downcast<BatchNormalizationLayerNode *>(node));
case NodeType::ChannelShuffleLayer:
return detail::create_channel_shuffle_layer<CLChannelShuffleLayer, CLTargetInfo>(*polymorphic_downcast<ChannelShuffleLayerNode *>(node));
case NodeType::ConvolutionLayer:
return detail::create_convolution_layer<CLConvolutionLayerFunctions, CLTargetInfo>(*polymorphic_downcast<ConvolutionLayerNode *>(node), ctx);
case NodeType::DeconvolutionLayer:
return detail::create_deconvolution_layer<CLDeconvolutionLayer, CLTargetInfo>(*polymorphic_downcast<DeconvolutionLayerNode *>(node), ctx);
case NodeType::ConcatenateLayer:
return detail::create_concatenate_layer<CLConcatenateLayer, CLTargetInfo>(*polymorphic_downcast<ConcatenateLayerNode *>(node));
case NodeType::DepthwiseConvolutionLayer:
return detail::create_depthwise_convolution_layer<CLDepthwiseConvolutionLayerFunctions, CLTargetInfo>(*polymorphic_downcast<DepthwiseConvolutionLayerNode *>(node));
case NodeType::EltwiseLayer:
return detail::create_eltwise_layer<CLEltwiseFunctions, CLTargetInfo>(*polymorphic_downcast<EltwiseLayerNode *>(node));
case NodeType::FlattenLayer:
return detail::create_flatten_layer<CLFlattenLayer, CLTargetInfo>(*polymorphic_downcast<FlattenLayerNode *>(node));
case NodeType::FullyConnectedLayer:
return detail::create_fully_connected_layer<CLFullyConnectedLayer, CLTargetInfo>(*polymorphic_downcast<FullyConnectedLayerNode *>(node), ctx);
case NodeType::NormalizationLayer:
return detail::create_normalization_layer<CLNormalizationLayer, CLTargetInfo>(*polymorphic_downcast<NormalizationLayerNode *>(node), ctx);
case NodeType::NormalizePlanarYUVLayer:
return detail::create_normalize_planar_yuv_layer<CLNormalizePlanarYUVLayer, CLTargetInfo>(*polymorphic_downcast<NormalizePlanarYUVLayerNode *>(node));
case NodeType::PermuteLayer:
return detail::create_permute_layer<CLPermute, CLTargetInfo>(*polymorphic_downcast<PermuteLayerNode *>(node));
case NodeType::PoolingLayer:
return detail::create_pooling_layer<CLPoolingLayer, CLTargetInfo>(*polymorphic_downcast<PoolingLayerNode *>(node));
case NodeType::ReorgLayer:
return detail::create_reorg_layer<CLReorgLayer, CLTargetInfo>(*polymorphic_downcast<ReorgLayerNode *>(node));
case NodeType::ReshapeLayer:
return detail::create_reshape_layer<CLReshapeLayer, CLTargetInfo>(*polymorphic_downcast<ReshapeLayerNode *>(node));
case NodeType::ResizeLayer:
return detail::create_resize_layer<CLScale, CLTargetInfo>(*polymorphic_downcast<ResizeLayerNode *>(node));
case NodeType::SliceLayer:
return detail::create_slice_layer<CLSlice, CLTargetInfo>(*polymorphic_downcast<SliceLayerNode *>(node));
case NodeType::SoftmaxLayer:
return detail::create_softmax_layer<CLSoftmaxLayer, CLTargetInfo>(*polymorphic_downcast<SoftmaxLayerNode *>(node), ctx);
case NodeType::YOLOLayer:
return detail::create_yolo_layer<CLYOLOLayer, CLTargetInfo>(*polymorphic_downcast<YOLOLayerNode *>(node), ctx);
default:
return nullptr;
}
}
} // namespace backends
} // namespace graph
} // namespace arm_compute
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