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, 0 insertions, 159 deletions

diff --git a/delegate/src/test/FillTestHelper.hpp b/delegate/src/test/FillTestHelper.hpp
deleted file mode 100644
index 8479b72730..0000000000
--- a/delegate/src/test/FillTestHelper.hpp
+++ /dev/null
@@ -1,159 +0,0 @@
-//
-// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "TestUtils.hpp"
-
-#include <armnn_delegate.hpp>
-
-#include <flatbuffers/flatbuffers.h>
-#include <tensorflow/lite/interpreter.h>
-#include <tensorflow/lite/kernels/register.h>
-#include <tensorflow/lite/model.h>
-#include <tensorflow/lite/schema/schema_generated.h>
-#include <tensorflow/lite/version.h>
-
-#include <doctest/doctest.h>
-
-namespace
-{
-
-template <typename T>
-std::vector<char> CreateFillTfLiteModel(tflite::BuiltinOperator fillOperatorCode,
-                                        tflite::TensorType tensorType,
-                                        const std::vector<int32_t>& inputShape,
-                                        const std::vector <int32_t>& tensorShape,
-                                        const std::vector<T> fillValue)
-{
-    using namespace tflite;
-    flatbuffers::FlatBufferBuilder flatBufferBuilder;
-
-    std::vector<flatbuffers::Offset<tflite::Buffer>> buffers;
-    buffers.push_back(CreateBuffer(flatBufferBuilder));
-    buffers.push_back(
-        CreateBuffer(flatBufferBuilder,
-                     flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(tensorShape.data()),
-                                                    sizeof(int32_t) * tensorShape.size())));
-    buffers.push_back(
-        CreateBuffer(flatBufferBuilder,
-                     flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(fillValue.data()),
-                                                    sizeof(T) * fillValue.size())));
-    buffers.push_back(CreateBuffer(flatBufferBuilder));
-
-    std::array<flatbuffers::Offset<Tensor>, 3> tensors;
-    tensors[0] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(inputShape.data(),
-                                                                      inputShape.size()),
-                              tflite::TensorType_INT32,
-                              1,
-                              flatBufferBuilder.CreateString("dims"));
-
-    std::vector<int32_t> fillShape = {};
-    tensors[1] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(fillShape.data(),
-                                                                      fillShape.size()),
-                              tensorType,
-                              2,
-                              flatBufferBuilder.CreateString("value"));
-
-    tensors[2] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(tensorShape.data(),
-                                                                      tensorShape.size()),
-                              tensorType,
-                              3,
-                              flatBufferBuilder.CreateString("output"));
-
-    tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_FillOptions;
-    flatbuffers::Offset<void> operatorBuiltinOptions = CreateFillOptions(flatBufferBuilder).Union();
-
-    // create operator
-    const std::vector<int> operatorInputs{ {0, 1} };
-    const std::vector<int> operatorOutputs{ 2 };
-    flatbuffers::Offset <Operator> fillOperator =
-        CreateOperator(flatBufferBuilder,
-                       0,
-                       flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), operatorInputs.size()),
-                       flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), operatorOutputs.size()),
-                       operatorBuiltinOptionsType,
-                       operatorBuiltinOptions);
-
-    const std::vector<int> subgraphInputs{ {0, 1} };
-    const std::vector<int> subgraphOutputs{ 2 };
-    flatbuffers::Offset <SubGraph> subgraph =
-        CreateSubGraph(flatBufferBuilder,
-                       flatBufferBuilder.CreateVector(tensors.data(), tensors.size()),
-                       flatBufferBuilder.CreateVector<int32_t>(subgraphInputs.data(), subgraphInputs.size()),
-                       flatBufferBuilder.CreateVector<int32_t>(subgraphOutputs.data(), subgraphOutputs.size()),
-                       flatBufferBuilder.CreateVector(&fillOperator, 1));
-
-    flatbuffers::Offset <flatbuffers::String> modelDescription =
-        flatBufferBuilder.CreateString("ArmnnDelegate: Fill Operator Model");
-    flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder,
-                                                                         fillOperatorCode);
-
-    flatbuffers::Offset <Model> flatbufferModel =
-        CreateModel(flatBufferBuilder,
-                    TFLITE_SCHEMA_VERSION,
-                    flatBufferBuilder.CreateVector(&operatorCode, 1),
-                    flatBufferBuilder.CreateVector(&subgraph, 1),
-                    modelDescription,
-                    flatBufferBuilder.CreateVector(buffers.data(), buffers.size()));
-
-    flatBufferBuilder.Finish(flatbufferModel);
-
-    return std::vector<char>(flatBufferBuilder.GetBufferPointer(),
-                             flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize());
-
-}
-
-template <typename T>
-void FillTest(tflite::BuiltinOperator fillOperatorCode,
-              tflite::TensorType tensorType,
-              const std::vector<armnn::BackendId>& backends,
-              std::vector<int32_t >& inputShape,
-              std::vector<int32_t >& tensorShape,
-              std::vector<T>& expectedOutputValues,
-              T fillValue)
-{
-    using namespace tflite;
-    std::vector<char> modelBuffer = CreateFillTfLiteModel<T>(fillOperatorCode,
-                                                             tensorType,
-                                                             inputShape,
-                                                             tensorShape,
-                                                             {fillValue});
-
-    const Model* tfLiteModel = GetModel(modelBuffer.data());
-    CHECK(tfLiteModel != nullptr);
-
-    std::unique_ptr<Interpreter> armnnDelegateInterpreter;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-          (&armnnDelegateInterpreter) == kTfLiteOk);
-    CHECK(armnnDelegateInterpreter != nullptr);
-    CHECK(armnnDelegateInterpreter->AllocateTensors() == kTfLiteOk);
-
-    std::unique_ptr<Interpreter> tfLiteInterpreter;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-          (&tfLiteInterpreter) == kTfLiteOk);
-    CHECK(tfLiteInterpreter != nullptr);
-    CHECK(tfLiteInterpreter->AllocateTensors() == kTfLiteOk);
-
-    // Create the ArmNN Delegate
-    armnnDelegate::DelegateOptions delegateOptions(backends);
-    std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)>
-        theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions),
-                         armnnDelegate::TfLiteArmnnDelegateDelete);
-    CHECK(theArmnnDelegate != nullptr);
-    // Modify armnnDelegateInterpreter to use armnnDelegate
-    CHECK(armnnDelegateInterpreter->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk);
-
-    // Run EnqueueWorkload
-    CHECK(tfLiteInterpreter->Invoke() == kTfLiteOk);
-    CHECK(armnnDelegateInterpreter->Invoke() == kTfLiteOk);
-
-    armnnDelegate::CompareOutputData<T>(tfLiteInterpreter, armnnDelegateInterpreter, tensorShape, expectedOutputValues);
-}
-
-} // anonymous namespace