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 1c5b4fc9f0..f44a747815 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -808,6 +808,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt m_ParserFunctions[tflite::BuiltinOperator_RESHAPE] = &TfLiteParserImpl::ParseReshape; m_ParserFunctions[tflite::BuiltinOperator_RESIZE_BILINEAR] = &TfLiteParserImpl::ParseResizeBilinear; m_ParserFunctions[tflite::BuiltinOperator_RESIZE_NEAREST_NEIGHBOR] = &TfLiteParserImpl::ParseResizeNearestNeighbor; + m_ParserFunctions[tflite::BuiltinOperator_REVERSE_V2] = &TfLiteParserImpl::ParseReverseV2; m_ParserFunctions[tflite::BuiltinOperator_RSQRT] = &TfLiteParserImpl::ParseRsqrt; m_ParserFunctions[tflite::BuiltinOperator_SQRT] = &TfLiteParserImpl::ParseSqrt; m_ParserFunctions[tflite::BuiltinOperator_SHAPE] = &TfLiteParserImpl::ParseShape; @@ -3276,6 +3277,67 @@ void TfLiteParserImpl::ParseResize(size_t subgraphIndex, size_t operatorIndex, R RegisterOutputSlots(subgraphIndex, operatorIndex, layer, outputTensorIndexes); } +void TfLiteParserImpl::ParseReverseV2(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("ReverseV2:{}:{}", subgraphIndex, operatorIndex); + + TensorInfo inputTensorInfo = ToTensorInfo(inputs[0]); + TensorInfo axisTensorInfo = ToTensorInfo(inputs[1]); + TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + + std::vector<int32_t> axisTensorData(axisTensorInfo.GetNumElements()); + + BufferRawPtr axisBufferPtr = GetBuffer(m_Model, inputs[1]->buffer); + ::memcpy(axisTensorData.data(), axisBufferPtr->data.data(), axisTensorInfo.GetNumBytes()); + + ReverseV2Descriptor descriptor(axisTensorData); + + auto inputRank = static_cast<int32_t>(inputTensorInfo.GetNumDimensions()); + std::vector<bool> dimFlag(inputRank, false); + + for (auto axis : axisTensorData) + { + if (axis < -inputRank || axis >= inputRank) + { + throw ParseException( + fmt::format("Operation has invalid axis: {} It is out of bounds [ -{}, {} ) {}", + axis, + inputRank, inputRank, + CHECK_LOCATION().AsString())); + } + + auto posAxis = axis < 0 ? axis + inputRank : axis; + + if (dimFlag[posAxis]) + { + throw ParseException( + fmt::format("Operation has repeated axis: {} {}", + axis, + CHECK_LOCATION().AsString())); + } + dimFlag[posAxis] = true; + } + + IConnectableLayer* layer = m_Network->AddReverseV2Layer(descriptor, layerName.c_str()); + ARMNN_ASSERT(layer != nullptr); + + 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 TfLiteParserImpl::ParseConcatenation(size_t subgraphIndex, size_t operatorIndex) { CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); |