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//
// Copyright © 2022 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 <tosaCommon/TosaLayerSupportRules.hpp>
#include <LayerSupportCommon.hpp>
#include <vector>
#include <array>
#include <tuple>
namespace armnn
{
static bool RunTosaLayerChecksSingleDataType(TosaSerializationOperator* op,
const std::vector<TosaSerializationTensor*>& inputs,
const std::vector<TosaSerializationTensor*>& outputs,
const std::vector<Attribute>& supportedAttributes,
const std::vector<DType>& supportedTypes,
Optional<string&> reasonIfUnsupported)
{
bool supported = true;
std::string opString = TosaOpToString(op->GetOp());
// Check Attribute from operator (GetAttribute)
supported &= CheckSupportRule(TosaOperatorAttributeOfAny(op, supportedAttributes), reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString +
" has an unsupported attribute.").c_str());
for (auto input : inputs)
{
std::string dataTypeCode = std::to_string(input->GetDtype());
// Check Dtype from tensor (GetDtype)
supported &= CheckSupportRule(TosaTypeAnyOf(input, supportedTypes),
reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString + " for input: " +
input->GetName() + " has an unsupported data type: " +
dataTypeCode).c_str());
// Check Shape from tensor (GetShape)
supported &= CheckSupportRule(TosaTensorNumDimensionsWithinBounds(input),
reasonIfUnsupported,
std::string("Tosa Reference Operator: " + opString + " for input: " +
input->GetName() + " exceeds MaxNumOfTensorDimensions.").c_str());
}
for (auto output : outputs)
{
std::string dataTypeCode = std::to_string(output->GetDtype());
// Check Dtype from tensor (GetDtype)
supported &= CheckSupportRule(TosaTypeAnyOf(output, supportedTypes),
reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString + " for output: " +
output->GetName() + " has an unsupported data type: " +
dataTypeCode).c_str());
// Check Shape from tensor (GetShape)
supported &= CheckSupportRule(TosaTensorNumDimensionsWithinBounds(output),
reasonIfUnsupported,
std::string("Tosa Reference Operator: " + opString + " for output: " +
output->GetName() + " exceeds MaxNumOfTensorDimensions.").c_str());
}
return supported;
}
static bool RunTosaLayerChecksInputOutputDataType(TosaSerializationOperator* op,
const std::vector<TosaSerializationTensor*>& inputs,
const std::vector<TosaSerializationTensor*>& outputs,
const std::vector<Attribute>& supportedAttributes,
const std::vector<std::tuple<DType,DType>>& supportedMappingTypes,
Optional<string&> reasonIfUnsupported)
{
bool supported = true;
std::string opString = TosaOpToString(op->GetOp());
// Check Attribute from operator (GetAttribute)
supported &= CheckSupportRule(TosaOperatorAttributeOfAny(op, supportedAttributes), reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString +
" has an unsupported attribute.").c_str());
supported &= CheckSupportRule(TosaAssertSize(inputs, outputs), reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString +
" must have 1-to-1 mapping of inputs-to-outputs.").c_str());
for (uint32_t i = 0; i < inputs.size(); i++)
{
auto input = inputs[i];
auto output = outputs[i];
std::string inputDataTypeCode = std::to_string(input->GetDtype());
std::string outputDataTypeCode = std::to_string(output->GetDtype());
std::tuple<DType, DType> mappingType(input->GetDtype(), output->GetDtype());
// Check Dtype from tensor (GetDtype)
supported &= CheckSupportRule(TosaContainerContains(mappingType, supportedMappingTypes),
reasonIfUnsupported,
std::string("TOSA Reference Operator: " + opString + " for input: " +
input->GetName() + " and output: " + output->GetName() +
" has an unsupported input data type: " + inputDataTypeCode +
" to output data type: " + outputDataTypeCode).c_str());
// Check Shape from tensor (GetShape)
supported &= CheckSupportRule(TosaTensorNumDimensionsWithinBounds(input),
reasonIfUnsupported,
std::string("Tosa Reference Operator: " + opString + " for input: " +
input->GetName() + " exceeds MaxNumOfTensorDimensions.").c_str());
// Check Shape from tensor (GetShape)
supported &= CheckSupportRule(TosaTensorNumDimensionsWithinBounds(output),
reasonIfUnsupported,
std::string("Tosa Reference Operator: " + opString + " for output: " +
output->GetName() + " exceeds MaxNumOfTensorDimensions.").c_str());
}
return supported;
}
static bool IsTosaLayerSupported(TosaSerializationOperator* op,
const std::vector<TosaSerializationTensor*>& inputs,
const std::vector<TosaSerializationTensor*>& outputs,
Optional<string&> reasonIfUnsupported)
{
switch(op->GetOp())
{
case tosa::Op_ADD:
{
std::vector<Attribute> supportedAttributes =
{
Attribute_NONE
};
// Only Int32, Fp32 and Fp16 are currently supported by the TOSA Reference Model.
std::vector<DType> supportedTypes =
{
DType_INT32,
DType_FP16,
DType_FP32
};
// Check the attribute, data types and bounds for inputs and outputs.
return RunTosaLayerChecksSingleDataType(op,
inputs,
outputs,
supportedAttributes,
supportedTypes,
reasonIfUnsupported);
}
case tosa::Op_AVG_POOL2D:
{
std::vector<Attribute> supportedAttributes =
{
Attribute_PoolAttribute
};
std::vector<std::tuple<DType, DType>> supportedTypesMapping =
{
std::tuple<DType, DType>(DType_FP16, DType_FP16),
std::tuple<DType, DType>(DType_FP16, DType_FP32),
std::tuple<DType, DType>(DType_FP32, DType_FP32),
std::tuple<DType, DType>(DType_INT8, DType_INT32),
std::tuple<DType, DType>(DType_INT16, DType_INT32)
};
// Check the attribute, data types and bounds for inputs and outputs.
return RunTosaLayerChecksInputOutputDataType(op,
inputs,
outputs,
supportedAttributes,
supportedTypesMapping,
reasonIfUnsupported);
}
case tosa::Op_MAX_POOL2D:
{
std::vector<Attribute> supportedAttributes =
{
Attribute_PoolAttribute
};
std::vector<DType> supportedTypes =
{
DType_FP16,
DType_FP32,
DType_INT8,
DType_INT16
};
// Check the attribute, data types and bounds for inputs and outputs.
return RunTosaLayerChecksSingleDataType(op,
inputs,
outputs,
supportedAttributes,
supportedTypes,
reasonIfUnsupported);
}
case tosa::Op_PAD:
{
std::vector<Attribute> supportedAttributes =
{
Attribute_PadAttribute
};
std::vector<DType> supportedTypes =
{
DType_FP16,
DType_FP32,
DType_INT8,
DType_INT16,
DType_INT32,
DType_BOOL
};
// Check the attribute, data types and bounds for inputs and outputs.
return RunTosaLayerChecksSingleDataType(op,
inputs,
outputs,
supportedAttributes,
supportedTypes,
reasonIfUnsupported);
}
default:
SetValueChecked(reasonIfUnsupported, "Operation is currently unsupported by the TOSA Reference Backend.");
return false;
}
}
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);
std::vector<const TensorInfo*> inputInfos;
std::vector<const TensorInfo*> outputInfos;
switch (type)
{
case LayerType::Addition:
// Setup inputs and outputs
inputInfos.push_back(&infos[0]);
inputInfos.push_back(&infos[1]);
outputInfos.push_back(&infos[2]);
break;
case LayerType::Input:
case LayerType::Output:
return true;
case LayerType::Pooling2d:
// Setup inputs and outputs
inputInfos.push_back(&infos[0]);
outputInfos.push_back(&infos[1]);
break;
default:
break;
}
auto mappings = GetTosaMapping(type, inputInfos, outputInfos, descriptor, false);
if (mappings->GetName() == "")
{
// There currently isn't a TOSA mapping for this layer, as the default was returned.
return false;
}
// Loop through block and get each tensor and operator
for (long unsigned int i = 0; i < mappings->GetOperators().size(); ++i)
{
// While looping over operators check for op_UNKNOWN which is unsupported
if (mappings->GetOperators()[i]->GetOp() == tosa::Op_UNKNOWN) { return false; }
// Loop over operators and get GetInput/OutputTensorNames, loop over resulting names and
// use GetTensorByName to pass pointers to tensors on to the IsTosaLayerSupported()
std::vector<TosaSerializationTensor*> inputTensorsVect;
for (const auto& name : mappings->GetOperators()[i]->GetInputTensorNames())
{
inputTensorsVect.push_back(mappings->GetTensorByName(name));
}
std::vector<TosaSerializationTensor*> outputTensorsVect;
for (const auto& name : mappings->GetOperators()[i]->GetOutputTensorNames())
{
outputTensorsVect.push_back(mappings->GetTensorByName(name));
}
if (!IsTosaLayerSupported(mappings->GetOperators()[i],
inputTensorsVect,
outputTensorsVect,
reasonIfUnsupported))
{
return false;
}
}
return true;
}
} // namespace armnn
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