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path: root/src/armnnTfLiteParser/TfLiteParser.cpp
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Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r--src/armnnTfLiteParser/TfLiteParser.cpp29
1 files changed, 29 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index d3f382adbb..156ff03d82 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -450,6 +450,7 @@ TfLiteParser::TfLiteParser()
m_ParserFunctions[tflite::BuiltinOperator_RESHAPE] = &TfLiteParser::ParseReshape;
m_ParserFunctions[tflite::BuiltinOperator_SOFTMAX] = &TfLiteParser::ParseSoftmax;
m_ParserFunctions[tflite::BuiltinOperator_SQUEEZE] = &TfLiteParser::ParseSqueeze;
+ m_ParserFunctions[tflite::BuiltinOperator_ADD] = &TfLiteParser::ParseAdd;
}
void TfLiteParser::ResetParser()
@@ -991,6 +992,34 @@ void TfLiteParser::ParseSqueeze(size_t subgraphIndex, size_t operatorIndex)
RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
}
+void TfLiteParser::ParseAdd(size_t subgraphIndex, size_t operatorIndex)
+{
+ CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);
+
+ const auto & operatorPtr = m_Model->subgraphs[subgraphIndex]->operators[operatorIndex];
+ const auto * options = operatorPtr->builtin_options.AsAddOptions();
+
+ 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 = boost::str(boost::format("Add:%1%:%2%") % subgraphIndex % operatorIndex);
+ IConnectableLayer* layer = m_Network->AddAdditionLayer(layerName.c_str());
+
+ TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
+ RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0], inputTensorIndexes[1]});
+
+ layer = AddFusedActivationLayer(layer, 0, options->fused_activation_function);
+
+ auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex));
+ RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
+}
+
void TfLiteParser::ParseRelu(size_t subgraphIndex, size_t operatorIndex)
{
CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);