IVGCVSW-8232 ScatterNd added to delegate and opaque delegate

Signed-off-by: Kevin May <kevin.may@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>

Change-Id: I5839f54c71f74eaa6819333393bb3054db9db5be
diff --git a/delegate/classic/src/ScatterNd.hpp b/delegate/classic/src/ScatterNd.hpp
new file mode 100644
index 0000000..c73e231
--- /dev/null
+++ b/delegate/classic/src/ScatterNd.hpp
@@ -0,0 +1,161 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <tensorflow/lite/builtin_ops.h>
+#include <tensorflow/lite/c/builtin_op_data.h>
+#include <tensorflow/lite/c/common.h>
+#include <tensorflow/lite/minimal_logging.h>
+#include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
+#include <tensorflow/lite/schema/schema_generated.h>
+
+namespace armnnDelegate
+{
+TfLiteStatus ValidateScatterNdOperator(DelegateData& delegateData,
+                                       TfLiteContext* tfLiteContext,
+                                       const armnn::TensorInfo& indicesInfo,
+                                       const armnn::TensorInfo& updatesInfo,
+                                       const armnn::TensorInfo& shapeInfo,
+                                       const armnn::TensorInfo& outputInfo,
+                                       const armnn::ScatterNdDescriptor& descriptor)
+{
+    bool isSupported = false;
+    FORWARD_LAYER_SUPPORT_FUNC("SCATTER_ND",
+                               tfLiteContext,
+                               IsScatterNdSupported,
+                               delegateData.m_Backends,
+                               isSupported,
+                               armnn::BackendId(),
+                               shapeInfo,
+                               indicesInfo,
+                               updatesInfo,
+                               outputInfo,
+                               descriptor);
+    return isSupported ? kTfLiteOk : kTfLiteError;
+}
+
+TfLiteStatus VisitScatterNdOperator(DelegateData& delegateData,
+                                    TfLiteContext* tfLiteContext,
+                                    TfLiteNode* tfLiteNode,
+                                    int nodeIndex,
+                                    int32_t scatterNdOperatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 3, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
+
+    // The indices tensor are the positions the data is updated/scattered into
+    const TfLiteTensor& tfLiteIndicesTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
+    if (IsDynamicTensor(tfLiteIndicesTensor))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+            tfLiteContext,
+            "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+            scatterNdOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    // The updates tensor provides the data which will be updated/scattered into the relevant indices
+    const TfLiteTensor& tfLiteUpdatesTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
+    if (IsDynamicTensor(tfLiteUpdatesTensor))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+            tfLiteContext,
+            "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+            scatterNdOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    // For tflite scatternd there is no input tensor
+    // The shape tensor is a 1D tensor which represents the shape of an input tensor to be filled with zeros
+    const TfLiteTensor& tfLiteShapeTensor = tfLiteTensors[tfLiteNode->inputs->data[2]];
+    if (IsDynamicTensor(tfLiteUpdatesTensor))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
+                scatterNdOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    // The output tensor
+    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (IsDynamicTensor(tfLiteOutputTensor))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+            tfLiteContext,
+            "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ",
+            scatterNdOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& indicesTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteIndicesTensor);
+    const armnn::TensorInfo& updatesTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteUpdatesTensor);
+    const armnn::TensorInfo& shapeTensorInfo   = GetTensorInfoForTfLiteTensor(tfLiteShapeTensor);
+    const armnn::TensorInfo& outputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
+
+    armnn::ScatterNdDescriptor scatterNdDescriptor;
+    scatterNdDescriptor.m_Function     = armnn::ScatterNdFunction::Update;
+    scatterNdDescriptor.m_InputEnabled = false;
+    scatterNdDescriptor.m_Axis         = 0;
+    scatterNdDescriptor.m_AxisEnabled  = false;
+
+    // Check output dimensions
+    if (shapeTensorInfo.GetShape().GetNumElements() != outputTensorInfo.GetNumDimensions())
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+            tfLiteContext,
+            "TfLiteArmnnDelegate: Shape tensor number of elements and output tensor dimension differ",
+            "Operator: #%d node #%d: ",
+            scatterNdOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    // No network pointer indicates that only support for this operator should be checked
+    if (!delegateData.m_Network)
+    {
+        return ValidateScatterNdOperator(delegateData,
+                                         tfLiteContext,
+                                         indicesTensorInfo,
+                                         updatesTensorInfo,
+                                         shapeTensorInfo,
+                                         outputTensorInfo,
+                                         scatterNdDescriptor);
+    }
+
+    auto layerName = GetLayerName(armnn::LayerType::ScatterNd, nodeIndex);
+    armnn::IConnectableLayer* layer = delegateData.m_Network->AddScatterNdLayer(scatterNdDescriptor, layerName.c_str());
+
+    if (layer == nullptr)
+    {
+        return kTfLiteError;
+    }
+
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk)
+    {
+        return kTfLiteError;
+    }
+
+    if (static_cast<unsigned int>(tfLiteNode->outputs->size) != layer->GetNumOutputSlots())
+    {
+        return kTfLiteError;
+    }
+
+    delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[2]]->Connect(layer->GetInputSlot(0));
+    delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[0]]->Connect(layer->GetInputSlot(1));
+    delegateData.m_OutputSlotForNode[tfLiteNode->inputs->data[1]]->Connect(layer->GetInputSlot(2));
+
+    // Prepare output slots
+    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
+    delegateData.m_OutputSlotForNode[static_cast<unsigned long>(tfLiteNode->outputs->data[0])] = &outputSlot;
+
+    return kTfLiteOk;
+}
+
+} // namespace armnnDelegate
\ No newline at end of file
diff --git a/delegate/classic/src/armnn_delegate.cpp b/delegate/classic/src/armnn_delegate.cpp
index 05bf9b2..52621ee 100644
--- a/delegate/classic/src/armnn_delegate.cpp
+++ b/delegate/classic/src/armnn_delegate.cpp
@@ -34,6 +34,7 @@
 #include "Resize.hpp"
 #include "ReverseV2.hpp"
 #include "Round.hpp"
+#include "ScatterNd.hpp"
 #include "Shape.hpp"
 #include "Slice.hpp"
 #include "StridedSlice.hpp"
@@ -1070,6 +1071,12 @@
                                             tfLiteNode,
                                             nodeIndex,
                                             kTfLiteBuiltinTransposeConv);
+        case kTfLiteBuiltinScatterNd:
+            return VisitScatterNdOperator(delegateData,
+                                          tfLiteContext,
+                                          tfLiteNode,
+                                          nodeIndex,
+                                          kTfLiteBuiltinScatterNd);
         case kTfLiteBuiltinSoftmax:
             return VisitSoftmaxOperator(delegateData,
                                         tfLiteContext,