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, 221 deletions

diff --git a/delegate/src/test/StridedSliceTestHelper.hpp b/delegate/src/test/StridedSliceTestHelper.hpp
deleted file mode 100644
index ef944d7e7a..0000000000
--- a/delegate/src/test/StridedSliceTestHelper.hpp
+++ /dev/null
@@ -1,221 +0,0 @@
-//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "TestUtils.hpp"
-
-#include <armnn_delegate.hpp>
-#include <armnn/DescriptorsFwd.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>
-
-#include <string>
-
-namespace
-{
-
-std::vector<char> CreateStridedSliceTfLiteModel(tflite::TensorType tensorType,
-                                                const std::vector<int32_t>& inputTensorShape,
-                                                const std::vector<int32_t>& beginTensorData,
-                                                const std::vector<int32_t>& endTensorData,
-                                                const std::vector<int32_t>& strideTensorData,
-                                                const std::vector<int32_t>& beginTensorShape,
-                                                const std::vector<int32_t>& endTensorShape,
-                                                const std::vector<int32_t>& strideTensorShape,
-                                                const std::vector<int32_t>& outputTensorShape,
-                                                const int32_t beginMask,
-                                                const int32_t endMask,
-                                                const int32_t ellipsisMask,
-                                                const int32_t newAxisMask,
-                                                const int32_t ShrinkAxisMask,
-                                                const armnn::DataLayout& dataLayout)
-{
-    using namespace tflite;
-    flatbuffers::FlatBufferBuilder flatBufferBuilder;
-
-    flatbuffers::Offset<tflite::Buffer> buffers[6] = {
-            CreateBuffer(flatBufferBuilder),
-            CreateBuffer(flatBufferBuilder),
-            CreateBuffer(flatBufferBuilder,
-                         flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(beginTensorData.data()),
-                                                        sizeof(int32_t) * beginTensorData.size())),
-            CreateBuffer(flatBufferBuilder,
-                         flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(endTensorData.data()),
-                                                        sizeof(int32_t) * endTensorData.size())),
-            CreateBuffer(flatBufferBuilder,
-                         flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(strideTensorData.data()),
-                                                        sizeof(int32_t) * strideTensorData.size())),
-            CreateBuffer(flatBufferBuilder)
-    };
-
-    std::array<flatbuffers::Offset<Tensor>, 5> tensors;
-    tensors[0] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(),
-                                                                      inputTensorShape.size()),
-                              tensorType,
-                              1,
-                              flatBufferBuilder.CreateString("input"));
-    tensors[1] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(beginTensorShape.data(),
-                                                                      beginTensorShape.size()),
-                              ::tflite::TensorType_INT32,
-                              2,
-                              flatBufferBuilder.CreateString("begin_tensor"));
-    tensors[2] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(endTensorShape.data(),
-                                                                      endTensorShape.size()),
-                              ::tflite::TensorType_INT32,
-                              3,
-                              flatBufferBuilder.CreateString("end_tensor"));
-    tensors[3] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(strideTensorShape.data(),
-                                                                      strideTensorShape.size()),
-                              ::tflite::TensorType_INT32,
-                              4,
-                              flatBufferBuilder.CreateString("stride_tensor"));
-    tensors[4] = CreateTensor(flatBufferBuilder,
-                              flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(),
-                                                                      outputTensorShape.size()),
-                              tensorType,
-                              5,
-                              flatBufferBuilder.CreateString("output"));
-
-
-    // create operator
-    tflite::BuiltinOptions operatorBuiltinOptionsType = tflite::BuiltinOptions_StridedSliceOptions;
-    flatbuffers::Offset<void> operatorBuiltinOptions = CreateStridedSliceOptions(flatBufferBuilder,
-                                                                                 beginMask,
-                                                                                 endMask,
-                                                                                 ellipsisMask,
-                                                                                 newAxisMask,
-                                                                                 ShrinkAxisMask).Union();
-
-    const std::vector<int> operatorInputs{ 0, 1, 2, 3 };
-    const std::vector<int> operatorOutputs{ 4 };
-    flatbuffers::Offset <Operator> sliceOperator =
-            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, 2, 3 };
-    const std::vector<int> subgraphOutputs{ 4 };
-    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(&sliceOperator, 1));
-
-    flatbuffers::Offset <flatbuffers::String> modelDescription =
-            flatBufferBuilder.CreateString("ArmnnDelegate: StridedSlice Operator Model");
-    flatbuffers::Offset <OperatorCode> operatorCode = CreateOperatorCode(flatBufferBuilder,
-                                                                         BuiltinOperator_STRIDED_SLICE);
-
-    flatbuffers::Offset <Model> flatbufferModel =
-            CreateModel(flatBufferBuilder,
-                        TFLITE_SCHEMA_VERSION,
-                        flatBufferBuilder.CreateVector(&operatorCode, 1),
-                        flatBufferBuilder.CreateVector(&subgraph, 1),
-                        modelDescription,
-                        flatBufferBuilder.CreateVector(buffers, 6));
-
-    flatBufferBuilder.Finish(flatbufferModel);
-
-    return std::vector<char>(flatBufferBuilder.GetBufferPointer(),
-                             flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize());
-}
-
-template <typename T>
-void StridedSliceTestImpl(std::vector<armnn::BackendId>& backends,
-                          std::vector<T>& inputValues,
-                          std::vector<T>& expectedOutputValues,
-                          std::vector<int32_t>& beginTensorData,
-                          std::vector<int32_t>& endTensorData,
-                          std::vector<int32_t>& strideTensorData,
-                          std::vector<int32_t>& inputTensorShape,
-                          std::vector<int32_t>& beginTensorShape,
-                          std::vector<int32_t>& endTensorShape,
-                          std::vector<int32_t>& strideTensorShape,
-                          std::vector<int32_t>& outputTensorShape,
-                          const int32_t beginMask = 0,
-                          const int32_t endMask = 0,
-                          const int32_t ellipsisMask = 0,
-                          const int32_t newAxisMask = 0,
-                          const int32_t ShrinkAxisMask = 0,
-                          const armnn::DataLayout& dataLayout = armnn::DataLayout::NHWC)
-{
-    using namespace tflite;
-    std::vector<char> modelBuffer = CreateStridedSliceTfLiteModel(
-            ::tflite::TensorType_FLOAT32,
-            inputTensorShape,
-            beginTensorData,
-            endTensorData,
-            strideTensorData,
-            beginTensorShape,
-            endTensorShape,
-            strideTensorShape,
-            outputTensorShape,
-            beginMask,
-            endMask,
-            ellipsisMask,
-            newAxisMask,
-            ShrinkAxisMask,
-            dataLayout);
-
-    auto tfLiteModel = GetModel(modelBuffer.data());
-
-    // Create TfLite Interpreters
-    std::unique_ptr<Interpreter> armnnDelegate;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-                  (&armnnDelegate) == kTfLiteOk);
-    CHECK(armnnDelegate != nullptr);
-    CHECK(armnnDelegate->AllocateTensors() == kTfLiteOk);
-
-    std::unique_ptr<Interpreter> tfLiteDelegate;
-    CHECK(InterpreterBuilder(tfLiteModel, ::tflite::ops::builtin::BuiltinOpResolver())
-                  (&tfLiteDelegate) == kTfLiteOk);
-    CHECK(tfLiteDelegate != nullptr);
-    CHECK(tfLiteDelegate->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(armnnDelegate->ModifyGraphWithDelegate(theArmnnDelegate.get()) == kTfLiteOk);
-
-    // Set input data
-    armnnDelegate::FillInput<T>(tfLiteDelegate, 0, inputValues);
-    armnnDelegate::FillInput<T>(armnnDelegate, 0, inputValues);
-
-    // Run EnqueWorkload
-    CHECK(tfLiteDelegate->Invoke() == kTfLiteOk);
-    CHECK(armnnDelegate->Invoke() == kTfLiteOk);
-
-    // Compare output data
-    armnnDelegate::CompareOutputData<T>(tfLiteDelegate,
-                                        armnnDelegate,
-                                        outputTensorShape,
-                                        expectedOutputValues);
-
-    tfLiteDelegate.reset(nullptr);
-    armnnDelegate.reset(nullptr);
-} // End of StridedSlice Test
-
-} // anonymous namespace
\ No newline at end of file