diff options
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index 81cbb9c8c0..5c6d619845 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -689,6 +689,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt m_ParserFunctions[tflite::BuiltinOperator_EQUAL] = &TfLiteParserImpl::ParseEqual; m_ParserFunctions[tflite::BuiltinOperator_EXP] = &TfLiteParserImpl::ParseExp; m_ParserFunctions[tflite::BuiltinOperator_EXPAND_DIMS] = &TfLiteParserImpl::ParseExpandDims; + m_ParserFunctions[tflite::BuiltinOperator_FLOOR_DIV] = &TfLiteParserImpl::ParseFloorDiv; m_ParserFunctions[tflite::BuiltinOperator_FULLY_CONNECTED] = &TfLiteParserImpl::ParseFullyConnected; m_ParserFunctions[tflite::BuiltinOperator_GATHER] = &TfLiteParserImpl::ParseGather; m_ParserFunctions[tflite::BuiltinOperator_GREATER] = &TfLiteParserImpl::ParseGreater; @@ -2111,6 +2112,34 @@ void TfLiteParserImpl::ParseDiv(size_t subgraphIndex, size_t operatorIndex) RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); } +void TfLiteParserImpl::ParseFloorDiv(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); + + armnn::TensorInfo inputTensorInfo = ToTensorInfo(inputs[0]); + armnn::TensorInfo input1TensorInfo = ToTensorInfo(inputs[1]); + + auto layerName = fmt::format("Div:{}:{}", subgraphIndex, operatorIndex); + IConnectableLayer* layer = m_Network->AddDivisionLayer(layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = ToTensorInfo(outputs[0], true); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0], inputTensorIndexes[1]}); + layer = AddFusedFloorLayer(layer, 0); + + auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); +} + void TfLiteParserImpl::ParseAdd(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); @@ -3943,6 +3972,18 @@ armnn::IConnectableLayer* TfLiteParserImpl::AddFusedActivationLayer(armnn::IConn return activationLayer; } +armnn::IConnectableLayer* TfLiteParserImpl::AddFusedFloorLayer(armnn::IConnectableLayer* prevLayer, + unsigned int outputSlot) +{ + std::string layerName = prevLayer->GetName(); + IConnectableLayer* floorLayer = m_Network->AddFloorLayer(layerName.c_str()); + + auto & prevOutputSlot = prevLayer->GetOutputSlot(outputSlot); + prevOutputSlot.Connect(floorLayer->GetInputSlot(0)); + floorLayer->GetOutputSlot(0).SetTensorInfo(prevOutputSlot.GetTensorInfo()); + return floorLayer; +} + TfLiteParserImpl::ModelPtr TfLiteParserImpl::LoadModelFromFile(const char* fileName) { if (fileName == nullptr) |