Method ParseMaximum

src/armnnTfLiteParser/TfLiteParser.cpp:2043–2076

}

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

    auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
    CHECK_VALID_SIZE(inputs.size(), 2);

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

    auto layerName = fmt::format("Maximum:{}:{}", subgraphIndex, operatorIndex);

    TensorInfo inputTensorInfo  = InputTensorInfo(subgraphIndex, operatorIndex, 0);
    TensorInfo input1TensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 1);
    CheckMatchingQuantization(inputTensorInfo, input1TensorInfo, layerName, "Input 0", "Input 1");

    IConnectableLayer* layer = m_Network->AddElementwiseBinaryLayer(BinaryOperation::Maximum, layerName.c_str());

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

    TensorInfo outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0, 1});
    CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0");
    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);

    auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
    RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0], inputTensorIndexes[1]});

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

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