Add batch-to-space-nd parser to tf-lite
Change-Id: I1e210f88f19f38ab719008e119c8fed153a3dd95
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 4acd308..31aab02 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -419,6 +419,7 @@
{
// register supported operators
m_ParserFunctions[tflite::BuiltinOperator_AVERAGE_POOL_2D] = &TfLiteParser::ParseAveragePool2D;
+ m_ParserFunctions[tflite::BuiltinOperator_BATCH_TO_SPACE_ND] = &TfLiteParser::ParseBatchToSpaceND;
m_ParserFunctions[tflite::BuiltinOperator_CONCATENATION] = &TfLiteParser::ParseConcatenation;
m_ParserFunctions[tflite::BuiltinOperator_CONV_2D] = &TfLiteParser::ParseConv2D;
m_ParserFunctions[tflite::BuiltinOperator_DEPTHWISE_CONV_2D] = &TfLiteParser::ParseDepthwiseConv2D;
@@ -836,6 +837,54 @@
ParsePool(subgraphIndex, operatorIndex, PoolingAlgorithm::Average);
}
+void TfLiteParser::ParseBatchToSpaceND(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 cropsTensorInfo = ToTensorInfo(inputs[2]);
+ BufferRawPtr cropsBufferPtr = 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> cropsVector(cropsTensorInfo.GetNumElements());
+ ::memcpy(cropsVector.data(), cropsBufferPtr->data.data(), cropsTensorInfo.GetNumBytes());
+
+ size_t step = 2;
+ std::vector<std::pair<unsigned int, unsigned int>> crops;
+ for (unsigned int i = 0; i < cropsTensorInfo.GetNumElements() / step; ++i)
+ {
+ crops.emplace_back(cropsVector[i * step], cropsVector[i * step + 1]);
+ }
+
+ armnn::BatchToSpaceNdDescriptor desc;
+ desc.m_BlockShape = blockShape;
+ desc.m_Crops = crops;
+ desc.m_DataLayout = armnn::DataLayout::NHWC;
+
+ armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+
+ auto layerName = boost::str(boost::format("BatchToSpaceND:%1%:%2%") % subgraphIndex % operatorIndex);
+ IConnectableLayer* layer = m_Network->AddBatchToSpaceNdLayer(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::ParseMaxPool2D(size_t subgraphIndex, size_t operatorIndex)
{
ParsePool(subgraphIndex, operatorIndex, PoolingAlgorithm::Max);