/* * 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 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(*polymorphic_downcast(node)); case NodeType::BatchNormalizationLayer: return detail::create_batch_normalization_layer(*polymorphic_downcast(node)); case NodeType::ChannelShuffleLayer: return detail::create_channel_shuffle_layer(*polymorphic_downcast(node)); case NodeType::ConvolutionLayer: return detail::create_convolution_layer(*polymorphic_downcast(node), ctx); case NodeType::DeconvolutionLayer: return detail::create_deconvolution_layer(*polymorphic_downcast(node), ctx); case NodeType::ConcatenateLayer: return detail::create_concatenate_layer(*polymorphic_downcast(node)); case NodeType::DepthwiseConvolutionLayer: return detail::create_depthwise_convolution_layer(*polymorphic_downcast(node)); case NodeType::EltwiseLayer: return detail::create_eltwise_layer(*polymorphic_downcast(node)); case NodeType::FlattenLayer: return detail::create_flatten_layer(*polymorphic_downcast(node)); case NodeType::FullyConnectedLayer: return detail::create_fully_connected_layer(*polymorphic_downcast(node), ctx); case NodeType::NormalizationLayer: return detail::create_normalization_layer(*polymorphic_downcast(node), ctx); case NodeType::NormalizePlanarYUVLayer: return detail::create_normalize_planar_yuv_layer(*polymorphic_downcast(node)); case NodeType::PermuteLayer: return detail::create_permute_layer(*polymorphic_downcast(node)); case NodeType::PoolingLayer: return detail::create_pooling_layer(*polymorphic_downcast(node)); case NodeType::ReorgLayer: return detail::create_reorg_layer(*polymorphic_downcast(node)); case NodeType::ReshapeLayer: return detail::create_reshape_layer(*polymorphic_downcast(node)); case NodeType::ResizeLayer: return detail::create_resize_layer(*polymorphic_downcast(node)); case NodeType::SliceLayer: return detail::create_slice_layer(*polymorphic_downcast(node)); case NodeType::SoftmaxLayer: return detail::create_softmax_layer(*polymorphic_downcast(node), ctx); case NodeType::UpsampleLayer: return detail::create_upsample_layer(*polymorphic_downcast(node), ctx); case NodeType::YOLOLayer: return detail::create_yolo_layer(*polymorphic_downcast(node), ctx); default: return nullptr; } } } // namespace backends } // namespace graph } // namespace arm_compute