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author | Bruno Goncalves <bruno.slackware@gmail.com> | 2018-12-19 12:51:45 -0200 |
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committer | Bruno Goncalves <bruno.slackware@gmail.com> | 2019-01-18 23:06:01 -0200 |
commit | 2235ceea7b94fd8ae3933ff75ba6428fa697c6b9 (patch) | |
tree | 2e33d20d11f76519a9843343c4a245927e95e366 /src/armnnTfLiteParser/TfLiteParser.cpp | |
parent | f803f78f3f1c4ad86e4be3d6e7ce8d46a462f2e5 (diff) | |
download | armnn-2235ceea7b94fd8ae3933ff75ba6428fa697c6b9.tar.gz |
Added ParseMean method to TfLiteParser
Change-Id: Idfedf82479fb3d4bb2962fc3cfc6c76e57331943
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index e5af76b234..e3306b317f 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -452,6 +452,7 @@ TfLiteParser::TfLiteParser() m_ParserFunctions[tflite::BuiltinOperator_SQUEEZE] = &TfLiteParser::ParseSqueeze; m_ParserFunctions[tflite::BuiltinOperator_ADD] = &TfLiteParser::ParseAdd; m_ParserFunctions[tflite::BuiltinOperator_MUL] = &TfLiteParser::ParseMul; + m_ParserFunctions[tflite::BuiltinOperator_MEAN] = &TfLiteParser::ParseMean; } void TfLiteParser::ResetParser() @@ -1049,6 +1050,42 @@ void TfLiteParser::ParseMul(size_t subgraphIndex, size_t operatorIndex) RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); } +void TfLiteParser::ParseMean(size_t subgraphIndex, size_t operatorIndex) +{ + CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); + + auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex); + + auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + armnn::TensorInfo dimTensorInfo = ToTensorInfo(inputs[1]); + BufferRawPtr bufferPtr = GetBuffer(m_Model, inputs[1]->buffer); + + armnn::MeanDescriptor desc; + std::vector<unsigned int> axis(dimTensorInfo.GetNumElements()); + ::memcpy(axis.data(), bufferPtr->data.data(), dimTensorInfo.GetNumBytes()); + desc.m_Axis = axis; + + armnn::TensorInfo inputTensorInfo = ToTensorInfo(inputs[0]); + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + + desc.m_KeepDims = + inputTensorInfo.GetNumDimensions() == outputTensorInfo.GetNumDimensions() ? + true : false; + + auto layerName = boost::str(boost::format("Mean:%1%:%2%") % subgraphIndex % operatorIndex); + IConnectableLayer* layer = m_Network->AddMeanLayer(desc, layerName.c_str()); + + 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 TfLiteParser::ParseRelu(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); |