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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TosaMappings.hpp"
using namespace armnn;
using namespace tosa;
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;
}
}
TosaSerializationBasicBlock* CreateEmptyTosaSerializationBasicBlock()
{
// empty basic block when no tosa mapping implemented/exists
TosaSerializationOperator* op =
new TosaSerializationOperator(Op_UNKNOWN, Attribute_NONE, nullptr, {}, {});
return new TosaSerializationBasicBlock("", {op}, {}, {}, {});
}
TosaSerializationBasicBlock* GetTosaMapping(const LayerType type,
const std::vector<const TensorInfo*>& inputs,
const std::vector<const TensorInfo*>& outputs,
const BaseDescriptor& descriptor,
bool isMain = false)
{
switch (type)
{
case LayerType::Addition:
{
return ConvertAdditionToTosaOperator(inputs, outputs, isMain);
}
case LayerType::Pooling2d:
{
auto poolDesc = PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor);
bool avgPoolIgnoreValue =
(poolDesc->m_PoolType == PoolingAlgorithm::Average) &&
(poolDesc->m_PaddingMethod == PaddingMethod::IgnoreValue);
if (poolDesc->m_PoolType == PoolingAlgorithm::L2)
{
return CreateEmptyTosaSerializationBasicBlock();
}
else if (avgPoolIgnoreValue)
{
return ConvertAvgPool2DIgnoreValueToTosaOperator(inputs, outputs, isMain, poolDesc);
}
else
{
return ConvertPooling2DToTosaOperator(inputs, outputs, isMain, poolDesc);
}
}
default:
{
return CreateEmptyTosaSerializationBasicBlock();
}
}
}
TosaSerializationBasicBlock* GetTosaMappingFromLayer(Layer* layer, bool isMain = false)
{
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(),
isMain);
SetBasicBlockConstantTensorData(layer, basicBlock);
return basicBlock;
}
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