commit e5a30ff7e3ebc61592cc96b148c2c36eda9de02c
author Tianle Cheng <tianle.cheng@arm.com> Mon Jul 03 11:24:12 2023 +0100
committer Tianle Cheng <tianle.cheng@arm.com> Wed Jul 05 09:39:27 2023 +0000
tree cf582fb97d864ac959b84b19e1630df63d21376b
parent 22c8a4b48efe4c6cfa563c734e771e77f4d7c1b0

IVGCVSW-7833 Add ReverseV2 support to TFLite Parser

 * Added ReverseV2 support to TFLite Parser
 * Added ReverseV2 TFLite Parser unit tests
 * Updated Parser Docs

Signed-off-by: Tianle Cheng <tianle.cheng@arm.com>
Change-Id: Idb9a9213f75cd6cf01509a5d06ea5772cf56ac5b

src/armnnTfLiteParser/TfLiteParser.cpp

diff --git a/src/armnnTfLiteParser/TfLiteParser.cpp b/src/armnnTfLiteParser/TfLiteParser.cpp
index 1c5b4fc..f44a747 100644
--- a/src/armnnTfLiteParser/TfLiteParser.cpp
+++ b/src/armnnTfLiteParser/TfLiteParser.cpp
@@ -808,6 +808,7 @@
     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 @@
     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);