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author | Darshan Patel <darsh.jp@gmail.com> | 2020-05-26 22:22:42 +0530 |
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committer | TeresaARM <teresa.charlinreyes@arm.com> | 2020-05-27 14:05:26 +0000 |
commit | 83fcf988cc1d5c9254a19258d6d67362c04bbaf4 (patch) | |
tree | cc9937da3e0f4625e74515e50aa37f9822bc3525 /src/armnnTfLiteParser/TfLiteParser.cpp | |
parent | 9fabf4336bb1e966f3fa192106dcb46562deebcd (diff) | |
download | armnn-83fcf988cc1d5c9254a19258d6d67362c04bbaf4.tar.gz |
Add NEG support to TFLite parser
* Added unit tests
* Updated Documentation
Signed-off-by: Darshan Patel <darsh.jp@gmail.com>
Change-Id: Id22ffebe60732a93798f72801eb8a2a23cdd7ec0
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 26 |
1 files changed, 26 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index f4f675ea98..08bd68d2ae 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -510,6 +510,7 @@ TfLiteParser::TfLiteParser(const Optional<ITfLiteParser::TfLiteParserOptions>& o m_ParserFunctions[tflite::BuiltinOperator_MEAN] = &TfLiteParser::ParseMean; m_ParserFunctions[tflite::BuiltinOperator_MINIMUM] = &TfLiteParser::ParseMinimum; m_ParserFunctions[tflite::BuiltinOperator_MUL] = &TfLiteParser::ParseMul; + m_ParserFunctions[tflite::BuiltinOperator_NEG] = &TfLiteParser::ParseNeg; m_ParserFunctions[tflite::BuiltinOperator_PACK] = &TfLiteParser::ParsePack; m_ParserFunctions[tflite::BuiltinOperator_PAD] = &TfLiteParser::ParsePad; m_ParserFunctions[tflite::BuiltinOperator_QUANTIZE] = &TfLiteParser::ParseQuantize; @@ -1819,6 +1820,31 @@ void TfLiteParser::ParseMean(size_t subgraphIndex, size_t operatorIndex) RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); } +void TfLiteParser::ParseNeg(size_t subgraphIndex, size_t operatorIndex) +{ + CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); + + auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(inputs.size(), 1); + + auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + auto layerName = boost::str(boost::format("Neg:%1%:%2%") % subgraphIndex % operatorIndex); + armnn::ElementwiseUnaryDescriptor descriptor(armnn::UnaryOperation::Neg); + IConnectableLayer* layer = m_Network->AddElementwiseUnaryLayer(descriptor, layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + 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); +} + void TfLiteParser::ParsePad(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); |