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//
// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TosaRefLayerSupport.hpp"
#include <tosaCommon/TosaMappings.hpp>
#include <armnn/Types.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
#include <graph_status.h>
#include <model_runner.h>
#include <vector>
namespace armnn
{
bool TosaRefLayerSupport::IsLayerSupported(const LayerType& type,
const std::vector<TensorInfo>& infos,
const BaseDescriptor& descriptor,
const Optional<LstmInputParamsInfo>& lstmParamsInfo,
const Optional<QuantizedLstmInputParamsInfo>& quantizedLstmInputParamsInfo,
Optional<std::string&> reasonIfUnsupported) const
{
IgnoreUnused(lstmParamsInfo);
IgnoreUnused(quantizedLstmInputParamsInfo);
IgnoreUnused(reasonIfUnsupported);
std::vector<const TensorInfo*> inputInfos;
std::vector<const TensorInfo*> outputInfos;
switch (type)
{
case LayerType::Input:
case LayerType::Output:
return true;
case LayerType::Addition:
case LayerType::Multiplication:
case LayerType::Subtraction:
case LayerType::ElementwiseBinary:
// Setup inputs and outputs
inputInfos.push_back(&infos[0]);
inputInfos.push_back(&infos[1]);
outputInfos.push_back(&infos[2]);
break;
case LayerType::Concat:
for (unsigned int i = 0; i < infos.size() - 1; ++i)
{
inputInfos.push_back(&infos[i]);
}
outputInfos.push_back(&infos.back());
break;
case LayerType::Constant:
outputInfos.push_back(&infos[0]);
break;
case LayerType::Convolution2d:
{
inputInfos.push_back(&infos[0]); // input
outputInfos.push_back(&infos[1]); // output
inputInfos.push_back(&infos[2]); // weights
auto conv2dDesc = PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor);
if(conv2dDesc->m_BiasEnabled)
{
inputInfos.push_back(&infos[3]); // bias
}
break;
}
case LayerType::ElementwiseUnary:
case LayerType::Pooling2d:
case LayerType::Quantize:
case LayerType::Reshape:
case LayerType::Resize:
case LayerType::Slice:
case LayerType::Transpose:
{
inputInfos.push_back(&infos[0]);
outputInfos.push_back(&infos[1]);
break;
}
case LayerType::Splitter:
{
inputInfos.push_back(&infos[0]);
for (unsigned int i = 1; i < infos.size(); ++i)
{
outputInfos.push_back(&infos[i]);
}
break;
}
case LayerType::TransposeConvolution2d:
{
inputInfos.push_back(&infos[0]); // input
outputInfos.push_back(&infos[1]); // output
inputInfos.push_back(&infos[2]); // weights
auto conv2dDesc = PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&descriptor);
if(conv2dDesc->m_BiasEnabled)
{
inputInfos.push_back(&infos[3]); // bias
}
break;
}
default:
// Default to false for all unsupported layers.
return false;
}
auto mappings = GetTosaMapping(nullptr, type, inputInfos, outputInfos, descriptor);
if (mappings->GetName() == "")
{
// There currently isn't a TOSA mapping for this layer, as the default was returned.
return false;
}
TosaSerializationHandler handler;
// Add all mappings to main block.
auto* block = new TosaSerializationBasicBlock("main",
"main",
mappings->GetOperators(),
mappings->GetTensors(),
mappings->GetInputs(),
mappings->GetOutputs());
std::vector<TosaSerializationBasicBlock*> blocks;
blocks.emplace_back(block);
// Add blocks to the main region.
auto* region = new TosaSerializationRegion("main", blocks);
handler.GetRegions().emplace_back(region);
GraphStatus status;
TosaReference::IModelRunner runner;
#if !defined(TOSA_REFERENCE_MODEL_OUTPUT)
// There currently isn't a way to disable the output from the TOSA Reference Model, but it does have a file pointer
// to write debug output to, so set this to /dev/null (if it exists on the system) to hide the output.
func_debug_t funcDebug;
FILE* file = fopen("/dev/null", "w");
funcDebug.func_debug_file = (file == nullptr) ? stderr : file;
runner.setFuncDebug(funcDebug);
#endif
// Initialise the model runner with the TosaSerializationHandler, which runs validation on the mapping.
status = runner.initialize(handler);
#if !defined(TOSA_REFERENCE_MODEL_OUTPUT)
// Reset FuncDebug as they can persist across multiple IModelRunner instances.
funcDebug.func_debug_file = stderr;
runner.setFuncDebug(funcDebug);
#endif
if(status == GraphStatus::TOSA_ERROR || status == GraphStatus::TOSA_UNPREDICTABLE)
{
return false;
}
else
{
return true;
}
}
} // namespace armnn
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