diff options
Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/TfLiteParser.cpp | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp index 31aab029ab..e19edc3821 100644 --- a/src/armnnTfLiteParser/TfLiteParser.cpp +++ b/src/armnnTfLiteParser/TfLiteParser.cpp @@ -432,6 +432,7 @@ TfLiteParser::TfLiteParser() m_ParserFunctions[tflite::BuiltinOperator_RESHAPE] = &TfLiteParser::ParseReshape; m_ParserFunctions[tflite::BuiltinOperator_RESIZE_BILINEAR] = &TfLiteParser::ParseResizeBilinear; m_ParserFunctions[tflite::BuiltinOperator_SOFTMAX] = &TfLiteParser::ParseSoftmax; + m_ParserFunctions[tflite::BuiltinOperator_SPACE_TO_BATCH_ND] = &TfLiteParser::ParseSpaceToBatchND; m_ParserFunctions[tflite::BuiltinOperator_SQUEEZE] = &TfLiteParser::ParseSqueeze; m_ParserFunctions[tflite::BuiltinOperator_SUB] = &TfLiteParser::ParseSub; m_ParserFunctions[tflite::BuiltinOperator_ADD] = &TfLiteParser::ParseAdd; @@ -990,6 +991,54 @@ void TfLiteParser::ParseSoftmax(size_t subgraphIndex, size_t operatorIndex) RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]}); } +void TfLiteParser::ParseSpaceToBatchND(size_t subgraphIndex, size_t operatorIndex) +{ + CHECK_MODEL(m_Model, subgraphIndex, operatorIndex); + + auto inputs = GetInputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(inputs.size(), 3); + + auto outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex); + CHECK_VALID_SIZE(outputs.size(), 1); + + armnn::TensorInfo blockShapeTensorInfo = ToTensorInfo(inputs[1]); + BufferRawPtr blockShapeBufferPtr = GetBuffer(m_Model, inputs[1]->buffer); + + armnn::TensorInfo padListTensorInfo = ToTensorInfo(inputs[2]); + BufferRawPtr padListBufferPtr = GetBuffer(m_Model, inputs[2]->buffer); + + std::vector<unsigned int> blockShape(blockShapeTensorInfo.GetNumElements()); + ::memcpy(blockShape.data(), blockShapeBufferPtr->data.data(), blockShapeTensorInfo.GetNumBytes()); + + std::vector<unsigned int> padListVector(padListTensorInfo.GetNumElements()); + ::memcpy(padListVector.data(), padListBufferPtr->data.data(), padListTensorInfo.GetNumBytes()); + + size_t step = 2; + std::vector<std::pair<unsigned int, unsigned int>> padList; + for (unsigned int i = 0; i < padListTensorInfo.GetNumElements() / step; ++i) + { + padList.emplace_back(padListVector[i * step], padListVector[i * step + 1]); + } + + armnn::SpaceToBatchNdDescriptor desc; + desc.m_BlockShape = blockShape; + desc.m_PadList = padList; + desc.m_DataLayout = armnn::DataLayout::NHWC; + + armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]); + + auto layerName = boost::str(boost::format("SpaceToBatchND:%1%:%2%") % subgraphIndex % operatorIndex); + IConnectableLayer* layer = m_Network->AddSpaceToBatchNdLayer(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]}); +} + armnn::TensorInfo TfLiteParser::OutputShapeOfSqueeze(const std::vector<uint32_t> & squeezeDimsIn, const armnn::TensorInfo & inputTensorInfo) { |