IVGCVSW-7555 Restructure Delegate

* New folders created:
  * common is for common code where TfLite API is not used
  * classic is for existing delegate implementations
  * opaque is for new opaque delegate implementation,
  * tests is for shared between existing Delegate and Opaque Delegate which have test utils to work which delegate to use.
* Existing delegate is built to libarmnnDelegate.so and opaque delegate is built as libarmnnOpaqueDelegate.so
* Opaque structure is introduced but no API is added yet.
* CmakeList.txt and delegate/CMakeList.txt have been modified and 2 new CmakeList.txt added
* Rename BUILD_ARMNN_TFLITE_DELEGATE as BUILD_CLASSIC_DELEGATE
* Rename BUILD_ARMNN_TFLITE_OPAQUE_DELEGATE as BUILD_OPAQUE_DELEGATE

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib682b9ad0ac8d8acdc4ec6d9099bb0008a9fe8ed

1 files changed, 106 insertions, 0 deletions

diff --git a/delegate/classic/src/Gather.hpp b/delegate/classic/src/Gather.hpp
new file mode 100644
index 0000000000..4c9cf82832
--- /dev/null
+++ b/delegate/classic/src/Gather.hpp
@@ -0,0 +1,106 @@
+//
+// Copyright © 2020,2022-2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <DelegateUtils.hpp>
+#include <algorithm>
+#include <iterator>
+#include <string>
+#include <vector>
+
+namespace armnnDelegate
+{
+TfLiteStatus VisitGatherOperator(DelegateData& delegateData,
+                                 TfLiteContext* tfLiteContext,
+                                 TfLiteNode* tfLiteNode,
+                                 int nodeIndex,
+                                 int32_t operatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
+
+    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteIndicesTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
+    if (!IsValid(tfLiteContext, tfLiteIndicesTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    auto* gatherParameters = reinterpret_cast<TfLiteGatherParams*>(tfLiteNode->builtin_data);
+    auto axis = gatherParameters->axis;
+
+    const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& indicesTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteIndicesTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
+    armnn::GatherDescriptor gatherDescriptor;
+    gatherDescriptor.m_Axis = axis;
+
+    auto inputDimensions = static_cast<int32_t>(inputTensorInfo.GetNumDimensions());
+    auto indicesDimensions = indicesTensorInfo.GetNumDimensions();
+    auto outputDimensions = outputTensorInfo.GetNumDimensions();
+    if (((axis < -inputDimensions) && (axis < 0)) || ((axis >= inputDimensions) && (axis > 0)))
+    {
+        TF_LITE_MAYBE_KERNEL_LOG( tfLiteContext,
+            "TfLiteArmnnDelegate: Operation has invalid axis: %d. It is out of bounds [-%d, %d))",
+            axis, inputDimensions, inputDimensions);
+        return kTfLiteError;
+    }
+    if (outputDimensions != static_cast<unsigned int>(inputDimensions) + indicesDimensions - 1)
+    {
+        TF_LITE_MAYBE_KERNEL_LOG( tfLiteContext,
+            "Operation has invalid output dimensions: %d. Output must be an (%d + %d - 1)-D tensor",
+            outputDimensions, inputDimensions, indicesDimensions);
+        return kTfLiteError;
+    }
+
+    armnn::BackendId setBackend;
+    if (!delegateData.m_Network)
+    {
+        // Check if supported
+        bool isSupported = false;
+        FORWARD_LAYER_SUPPORT_FUNC("GATHER",
+                                   tfLiteContext,
+                                   IsGatherSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   setBackend,
+                                   inputTensorInfo,
+                                   indicesTensorInfo,
+                                   outputTensorInfo,
+                                   gatherDescriptor);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    armnn::IConnectableLayer* layer = delegateData.m_Network->AddGatherLayer(gatherDescriptor);
+    layer->SetBackendId(setBackend);
+    ARMNN_ASSERT(layer != nullptr);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    auto inputsTensorsProcess = ProcessInputs(layer,
+                                              delegateData,
+                                              tfLiteContext,
+                                              tfLiteNode);
+    if (inputsTensorsProcess == kTfLiteError)
+    {
+        return inputsTensorsProcess;
+    }
+
+    return Connect(layer, tfLiteNode, delegateData);
+}
+} // namespace armnnDelegate
\ No newline at end of file