| // |
| // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #pragma once |
| |
| #include <Layer.hpp> |
| |
| #include <tosa_serialization_handler.h> |
| #include "operatorMappings/AdditionOperator.hpp" |
| |
| using namespace armnn; |
| using namespace tosa; |
| |
| // From the input armnn::Layer, set the corresponding data field in the |
| // tosa::TosaSerializationTensor where constant tensor data exists in the armnn::Layer. |
| void SetBasicBlockConstantTensorData(Layer* layer, TosaSerializationBasicBlock* /*basicBlock*/) |
| { |
| switch (layer->GetType()) |
| { |
| case LayerType::Convolution2d: |
| { |
| // ToDo: using Convolution2d as an example as it has constant tensors for weights and bias. |
| // ToDo: manually set TosaOperator data of basicBlock where constant tensors exist. |
| } |
| default: |
| // If no switch statement for layer, no constant tensors exist in that layer, return |
| return; |
| } |
| } |
| |
| // Populates a tosa::TosaSerializationBasicBlock from constructing |
| // tosa::TosaSerializationOperator(s) and tosa::TosaSerializationTensor(s) |
| // based on the input armnn::LayerType and associated armnn::TensorInfos and armnn::Descriptor. |
| // |
| // If an armnn::LayerType does not have a tosa mapping or the mapping is not implemented in ArmNN, |
| // an empty tosa::TosaSerializationBasicBlock() is returned with operator tosa::Op_UNKNOWN. |
| TosaSerializationBasicBlock* GetTosaMapping(const LayerType type, |
| const std::vector<const TensorInfo*>& inputs, |
| const std::vector<const TensorInfo*>& outputs, |
| const BaseDescriptor& /*descriptor*/) |
| { |
| switch (type) |
| { |
| case LayerType::Addition: |
| { |
| return ConvertAdditionToTosaOperator(inputs, outputs); |
| } |
| default: |
| { |
| // empty basic block when no tosa mapping implemented/exists |
| TosaSerializationOperator* op = new TosaSerializationOperator(Op_UNKNOWN, Attribute_NONE, nullptr, {}, {}); |
| return new TosaSerializationBasicBlock("", {op}, {}, {}, {}); |
| } |
| } |
| } |
| |
| // Function called in armnn::OptimizeSubgraphView() when access to armnn::Layer is available |
| // and there is an option to set tosa basic block data from constant layer tenors available from the input layer. |
| TosaSerializationBasicBlock* GetTosaMappingFromLayer(Layer* layer) |
| { |
| std::vector<const TensorInfo*> inputs; |
| for (auto inputSlot : layer->GetInputSlots()) |
| { |
| inputs.push_back(&inputSlot.GetConnection()->GetTensorInfo()); |
| } |
| |
| std::vector<const TensorInfo*> outputs; |
| for (auto& outputSlot : layer->GetOutputSlots()) |
| { |
| outputs.push_back(&outputSlot.GetTensorInfo()); |
| } |
| |
| TosaSerializationBasicBlock* basicBlock = GetTosaMapping(layer->GetType(), |
| inputs, |
| outputs, |
| layer->GetParameters()); |
| SetBasicBlockConstantTensorData(layer, basicBlock); |
| return basicBlock; |
| } |