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path: root/src/armnnTfLiteParser/TfLiteParser.cpp
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Diffstat (limited to 'src/armnnTfLiteParser/TfLiteParser.cpp')
-rw-r--r--src/armnnTfLiteParser/TfLiteParser.cpp47
1 files changed, 46 insertions, 1 deletions
diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 049d6049a7..3fd81ff973 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -810,6 +810,7 @@ TfLiteParserImpl::TfLiteParserImpl(const Optional<ITfLiteParser::TfLiteParserOpt
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_SCATTER_ND] = &TfLiteParserImpl::ParseScatterNd;
m_ParserFunctions[tflite::BuiltinOperator_SQRT] = &TfLiteParserImpl::ParseSqrt;
m_ParserFunctions[tflite::BuiltinOperator_SHAPE] = &TfLiteParserImpl::ParseShape;
m_ParserFunctions[tflite::BuiltinOperator_SIN] = &TfLiteParserImpl::ParseSin;
@@ -2279,6 +2280,50 @@ void TfLiteParserImpl::ParseLogSoftmax(size_t subgraphIndex, size_t operatorInde
RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
}
+void TfLiteParserImpl::ParseScatterNd(size_t subgraphIndex, size_t operatorIndex)
+{
+ CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);
+
+ TfLiteParserImpl::TensorRawPtrVector inputs = GetInputs(m_Model, subgraphIndex, operatorIndex);
+ CHECK_VALID_SIZE(inputs.size(), 3);
+ TfLiteParserImpl::TensorRawPtrVector outputs = GetOutputs(m_Model, subgraphIndex, operatorIndex);
+ CHECK_VALID_SIZE(outputs.size(), 1);
+
+ armnn::TensorInfo indicesTensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 0);
+ armnn::TensorInfo updatesTensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 1);
+ armnn::TensorInfo shapeTensorInfo = InputTensorInfo(subgraphIndex, operatorIndex, 2);
+ armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+
+ // TFLite currently only have these options: update and no input given, just shape.
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ const auto& operatorPtr = m_Model->subgraphs[subgraphIndex]->operators[operatorIndex];
+ const auto* options = operatorPtr->builtin_options.AsScatterNdOptions();
+ IgnoreUnused(options);
+
+ auto layerName = fmt::format("ScatterND:{}:{}", subgraphIndex, operatorIndex);
+
+ IConnectableLayer* layer = m_Network->AddScatterNdLayer(descriptor, layerName.c_str());
+
+ if (!layer)
+ {
+ throw NullPointerException(fmt::format("Layer {} pointer is null {}",
+ operatorIndex, CHECK_LOCATION().AsString()));
+ }
+
+ outputTensorInfo = OutputTensorInfoFromInputs(subgraphIndex, operatorIndex, layer, 0, {0, 1, 2});
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ auto inputTensorIndexes = AsUnsignedVector(GetInputTensorIds(m_Model, subgraphIndex, operatorIndex));
+ RegisterInputSlots(subgraphIndex,
+ operatorIndex,
+ layer,
+ {inputTensorIndexes[2], inputTensorIndexes[0], inputTensorIndexes[1]});
+
+ auto outputTensorIndexes = AsUnsignedVector(GetOutputTensorIds(m_Model, subgraphIndex, operatorIndex));
+ RegisterOutputSlots(subgraphIndex, operatorIndex, layer, {outputTensorIndexes[0]});
+}
+
void TfLiteParserImpl::ParseSpaceToBatchND(size_t subgraphIndex, size_t operatorIndex)
{
CHECK_MODEL(m_Model, subgraphIndex, operatorIndex);