Pooling2DOperator.hpp File Reference

#include "TosaOperatorUtils.hpp"

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Functions
TosaSerializationBasicBlock *	ConvertPooling2DToTosaOperator (const Layer *layer, const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const Pooling2dDescriptor *poolDescriptor)

Function Documentation

ConvertPooling2DToTosaOperator()

TosaSerializationBasicBlock * ConvertPooling2DToTosaOperator	(	const Layer *	layer,
		const std::vector< const TensorInfo * > &	inputs,
		const std::vector< const TensorInfo * > &	outputs,
		const Pooling2dDescriptor *	poolDescriptor )

Definition at line 8 of file Pooling2DOperator.cpp.

{
    std::string poolType = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? "Op_MAX" : "Op_AVG";
    Op opcode = (poolDescriptor->m_PoolType == PoolingAlgorithm::Max) ? Op_MAX_POOL2D : Op_AVG_POOL2D;
 
    std::string inputName = std::string("input_");
    std::string outputName = std::string("output0_");
    std::string blockName  = std::string("Op_") + poolType + std::string("_POOL2D_block_") + GetUniqueTosaMappingID();
 
    // If a layer is present then the block will be used for execution, so input and output names need to be determined
    // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.
    if(layer != nullptr)
    {
        inputName = GenerateUniqueInputName(layer->GetInputSlot(0));
        outputName = GenerateUniqueOutputName(*layer);
    }
 
    DType accType = DType_INT32;
    DType inputDType0 = ArmNNToDType(inputs[0]->GetDataType());
    if (inputDType0 == DType_FP32)
    {
        accType = DType_FP32;
    }
    else if (inputDType0 == DType_FP16)
    {
        accType = DType_FP16;
    }
 
    std::vector<TosaSerializationTensor*> tensors;
    std::vector<TosaSerializationOperator*> operators;
 
    // Only add input tensors if connected layer is an input layer.
    // As intermediate or constant tensors will be created separately.
    // There also can't be duplicate tensor.
    std::vector<int32_t> inputShape0 = GetTosaTensorShape(inputs[0]->GetShape());
    if(inputName.find("input_") != std::string::npos)
    {
        tensors.push_back(new TosaSerializationTensor(inputName, inputShape0, inputDType0, {}));
    }
 
    std::vector<int32_t> outputShape0 = GetTosaTensorShape(outputs[0]->GetShape());
    DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType());
 
    tensors.push_back(new TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));
 
    std::vector<int> pad = {static_cast<int>(poolDescriptor->m_PadTop),
                            static_cast<int>(poolDescriptor->m_PadBottom),
                            static_cast<int>(poolDescriptor->m_PadLeft),
                            static_cast<int>(poolDescriptor->m_PadRight)};
    std::vector<int> kernel = {static_cast<int>(poolDescriptor->m_PoolHeight),
                               static_cast<int>(poolDescriptor->m_PoolWidth)};
    std::vector<int> stride = {static_cast<int>(poolDescriptor->m_StrideY),
                               static_cast<int>(poolDescriptor->m_StrideX)};
    std::vector<int> dilation = {1, 1};
 
    std::string sliceOutputName = GetInputSlicedToItsUsedSize(inputShape0,
                                                              inputName,
                                                              poolDescriptor->m_DataLayout,
                                                              inputDType0,
                                                              kernel,
                                                              pad,
                                                              stride,
                                                              dilation,
                                                              tensors,
                                                              operators,
                                                              true);
 
    TosaPoolAttribute attribute(pad, kernel, stride, 0, 0, accType);
 
    operators.push_back(new TosaSerializationOperator(opcode,
                                                      Attribute_PoolAttribute,
                                                      &attribute,
                                                      {sliceOutputName},
                                                      {outputName}));
 
    // operatorInputNames/operatorOutputNames ends up being the same as
    // blockInputNames/blockOutputNames for one-to-one ArmNN to TOSA mappings
    return new TosaSerializationBasicBlock(blockName, // name
                                           mainName, // region name
                                           operators, // operators
                                           tensors, // tensors
                                           {sliceOutputName}, // inputs
                                           {outputName}); // outputs
}

References ArmNNToDType(), GenerateUniqueInputName(), GenerateUniqueOutputName(), GetInputSlicedToItsUsedSize(), Layer::GetInputSlot(), GetTosaTensorShape(), GetUniqueTosaMappingID(), Pooling2dDescriptor::m_DataLayout, Pooling2dDescriptor::m_PadBottom, Pooling2dDescriptor::m_PadLeft, Pooling2dDescriptor::m_PadRight, Pooling2dDescriptor::m_PadTop, Pooling2dDescriptor::m_PoolHeight, Pooling2dDescriptor::m_PoolType, Pooling2dDescriptor::m_PoolWidth, Pooling2dDescriptor::m_StrideX, Pooling2dDescriptor::m_StrideY, and mainName.

Referenced by GetTosaMapping().