diff options
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index 244f1fa197..5075da41c2 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -797,6 +797,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt m_ParserFunctions[tflite::BuiltinOperator_PACK] = &TfLiteParserImpl::ParsePack; m_ParserFunctions[tflite::BuiltinOperator_PAD] = &TfLiteParserImpl::ParsePad; m_ParserFunctions[tflite::BuiltinOperator_PADV2] = &TfLiteParserImpl::ParsePad; + m_ParserFunctions[tflite::BuiltinOperator_POW] = &TfLiteParserImpl::ParsePower; m_ParserFunctions[tflite::BuiltinOperator_PRELU] = &TfLiteParserImpl::ParsePrelu; m_ParserFunctions[tflite::BuiltinOperator_QUANTIZE] = &TfLiteParserImpl::ParseQuantize; m_ParserFunctions[tflite::BuiltinOperator_RELU] = &TfLiteParserImpl::ParseRelu; @@ -818,6 +819,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt m_ParserFunctions[tflite::BuiltinOperator_SPLIT] = &TfLiteParserImpl::ParseSplit; m_ParserFunctions[tflite::BuiltinOperator_SPLIT_V] = &TfLiteParserImpl::ParseSplitV; m_ParserFunctions[tflite::BuiltinOperator_SQUEEZE] = &TfLiteParserImpl::ParseSqueeze; + m_ParserFunctions[tflite::BuiltinOperator_SQUARED_DIFFERENCE] = &TfLiteParserImpl::ParseSquaredDifference; m_ParserFunctions[tflite::BuiltinOperator_STRIDED_SLICE] = &TfLiteParserImpl::ParseStridedSlice; m_ParserFunctions[tflite::BuiltinOperator_SUB] = &TfLiteParserImpl::ParseSub; m_ParserFunctions[tflite::BuiltinOperator_SUM] = &TfLiteParserImpl::ParseSum; @@ -4584,6 +4586,36 @@ void TfLiteParserImpl::ParseNeg(size_t subgraphIndex, size_t operatorIndex) ParseElementwiseUnary(subgraphIndex, operatorIndex, armnn::UnaryOperation::Neg); } +void TfLiteParserImpl::ParsePower(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); + + auto layerName = fmt::format("Power:{}:{}", subgraphIndex, operatorIndex); + + TensorInfo inputTensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 0); + TensorInfo input1TensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 1); + CheckMatchingQuantization(inputTensorInfo, input1TensorInfo, layerName, "Input 0", "Input 1"); + + IConnectableLayer* layer = m_Network->AddElementwiseBinaryLayer(BinaryOperation::Power, layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0, 1}); + CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0"); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0], inputTensorIndexes[1]}); + + auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); +} + void TfLiteParserImpl::ParseRsqrt(size_t subgraphIndex, size_t operatorIndex) { ParseElementwiseUnary(subgraphIndex, operatorIndex, armnn::UnaryOperation::Rsqrt); @@ -4599,6 +4631,36 @@ void TfLiteParserImpl::ParseSqrt(size_t subgraphIndex, size_t operatorIndex) ParseElementwiseUnary(subgraphIndex, operatorIndex, armnn::UnaryOperation::Sqrt); } +void TfLiteParserImpl::ParseSquaredDifference(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); + + auto layerName = fmt::format("SquaredDifference:{}:{}", subgraphIndex, operatorIndex); + + TensorInfo inputTensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 0); + TensorInfo input1TensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 1); + CheckMatchingQuantization(inputTensorInfo, input1TensorInfo, layerName, "Input 0", "Input 1"); + + IConnectableLayer* layer = m_Network->AddElementwiseBinaryLayer(BinaryOperation::SqDiff, layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + TensorInfo outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0, 1}); + CheckMatchingQuantization(inputTensorInfo, outputTensorInfo, layerName, "Input 0", "Output 0"); + layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterInputSlots(subgraphIndex, operatorIndex, layer, {inputTensorIndexes[0], inputTensorIndexes[1]}); + + auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex)); + RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); +} + void TfLiteParserImpl::ParseElementwiseUnary(size_t subgraphIndex, size_t operatorIndex, UnaryOperation unaryOperation) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); |