Method ParseL2Normalization

src/armnnTfLiteParser/TfLiteParser.cpp:2007–2036

}

void TfLiteParserImpl::ParseL2Normalization(size_t subgraphIndex, size_t operatorIndex)
{
    CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);

    auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
    CHECK_VALID_SIZE(inputs.size(), 1);

    auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
    CHECK_VALID_SIZE(outputs.size(), 1);

    L2NormalizationDescriptor desc;
    desc.m_DataLayout = armnn::DataLayout::NHWC;
    auto layerName = fmt::format("L2Normalization:{}:{}", subgraphIndex, operatorIndex);
    IConnectableLayer* layer = m_Network->AddL2NormalizationLayer(desc, layerName.c_str());

    if (!layer)
    {
        throw NullPointerException(fmt::format("Layer {} pointer is null {}",
                                   operatorIndex, CHECK_LOCATION().AsString()));
    }

    armnn::TensorInfo outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0});
    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);

    auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
    RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0]});

    auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex));
    RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
}

void TfLiteParserImpl::ParseMaxPool2D(size_t subgraphIndex, size_t operatorIndex)
{