diff options
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.hpp')
| -rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.hpp | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.hpp b/src/armnnTfLiteParser/TfLiteParser.hpp index 964be857ab..b9f81e4118 100644 --- a/src/armnnTfLiteParser/TfLiteParser.hpp +++ b/src/armnnTfLiteParser/TfLiteParser.hpp @@ -93,6 +93,8 @@ private: void ParseDepthwiseConv2D(size_t subgraphIndex, size_t operatorIndex); void ParseSoftmax(size_t subgraphIndex, size_t operatorIndex); void ParseSqueeze(size_t subgraphIndex, size_t operatorIndex); + void ParseRelu(size_t subgraphIndex, size_t operatorIndex); + void ParseRelu6(size_t subgraphIndex, size_t operatorIndex); void RegisterProducerOfTensor(size_t subgraphIndex, size_t tensorIndex, armnn::IOutputSlot* slot); void RegisterConsumerOfTensor(size_t subgraphIndex, size_t tensorIndex, armnn::IInputSlot* slot); @@ -111,9 +113,9 @@ private: void ResetParser(); /// Attach an activation layer to the one passed as a parameter - armnn::IConnectableLayer* AddActivationLayer(armnn::IConnectableLayer* layer, - unsigned int outputSlot, - tflite::ActivationFunctionType activationType); + armnn::IConnectableLayer* AddFusedActivationLayer(armnn::IConnectableLayer* layer, + unsigned int outputSlot, + tflite::ActivationFunctionType activationType); // SupportedDataStorage's purpose is to hold data till we pass over to the network. // We don't care about the content, and we want a single datatype to simplify the code. |