Cathal Corbett | 9c9d5b9 | 2022-08-17 17:30:16 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <Layer.hpp> |
| 9 | |
| 10 | #include <tosa_serialization_handler.h> |
| 11 | #include "operatorMappings/AdditionOperator.hpp" |
| 12 | |
| 13 | using namespace armnn; |
| 14 | using namespace tosa; |
| 15 | |
| 16 | // From the input armnn::Layer, set the corresponding data field in the |
| 17 | // tosa::TosaSerializationTensor where constant tensor data exists in the armnn::Layer. |
| 18 | void SetBasicBlockConstantTensorData(Layer* layer, TosaSerializationBasicBlock* /*basicBlock*/) |
| 19 | { |
| 20 | switch (layer->GetType()) |
| 21 | { |
| 22 | case LayerType::Convolution2d: |
| 23 | { |
| 24 | // ToDo: using Convolution2d as an example as it has constant tensors for weights and bias. |
| 25 | // ToDo: manually set TosaOperator data of basicBlock where constant tensors exist. |
| 26 | } |
| 27 | default: |
| 28 | // If no switch statement for layer, no constant tensors exist in that layer, return |
| 29 | return; |
| 30 | } |
| 31 | } |
| 32 | |
| 33 | // Populates a tosa::TosaSerializationBasicBlock from constructing |
| 34 | // tosa::TosaSerializationOperator(s) and tosa::TosaSerializationTensor(s) |
| 35 | // based on the input armnn::LayerType and associated armnn::TensorInfos and armnn::Descriptor. |
| 36 | // |
| 37 | // If an armnn::LayerType does not have a tosa mapping or the mapping is not implemented in ArmNN, |
| 38 | // an empty tosa::TosaSerializationBasicBlock() is returned with operator tosa::Op_UNKNOWN. |
| 39 | TosaSerializationBasicBlock* GetTosaMapping(const LayerType type, |
| 40 | const std::vector<const TensorInfo*>& inputs, |
| 41 | const std::vector<const TensorInfo*>& outputs, |
| 42 | const BaseDescriptor& /*descriptor*/) |
| 43 | { |
| 44 | switch (type) |
| 45 | { |
| 46 | case LayerType::Addition: |
| 47 | { |
| 48 | return ConvertAdditionToTosaOperator(inputs, outputs); |
| 49 | } |
| 50 | default: |
| 51 | { |
| 52 | // empty basic block when no tosa mapping implemented/exists |
| 53 | TosaSerializationOperator* op = new TosaSerializationOperator(Op_UNKNOWN, Attribute_NONE, nullptr, {}, {}); |
| 54 | return new TosaSerializationBasicBlock("", {op}, {}, {}, {}); |
| 55 | } |
| 56 | } |
| 57 | } |
| 58 | |
| 59 | // Function called in armnn::OptimizeSubgraphView() when access to armnn::Layer is available |
| 60 | // and there is an option to set tosa basic block data from constant layer tenors available from the input layer. |
| 61 | TosaSerializationBasicBlock* GetTosaMappingFromLayer(Layer* layer) |
| 62 | { |
| 63 | std::vector<const TensorInfo*> inputs; |
| 64 | for (auto inputSlot : layer->GetInputSlots()) |
| 65 | { |
| 66 | inputs.push_back(&inputSlot.GetConnection()->GetTensorInfo()); |
| 67 | } |
| 68 | |
| 69 | std::vector<const TensorInfo*> outputs; |
| 70 | for (auto& outputSlot : layer->GetOutputSlots()) |
| 71 | { |
| 72 | outputs.push_back(&outputSlot.GetTensorInfo()); |
| 73 | } |
| 74 | |
| 75 | TosaSerializationBasicBlock* basicBlock = GetTosaMapping(layer->GetType(), |
| 76 | inputs, |
| 77 | outputs, |
| 78 | layer->GetParameters()); |
| 79 | SetBasicBlockConstantTensorData(layer, basicBlock); |
| 80 | return basicBlock; |
| 81 | } |