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, 93 insertions, 0 deletions

diff --git a/delegate/test/ArmnnDelegateTest.cpp b/delegate/test/ArmnnDelegateTest.cpp
new file mode 100644
index 0000000000..c23c702af8
--- /dev/null
+++ b/delegate/test/ArmnnDelegateTest.cpp
@@ -0,0 +1,93 @@
+//
+// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
+#include <doctest/doctest.h>
+
+#include <armnn_delegate.hpp>
+
+#include <tensorflow/lite/kernels/builtin_op_kernels.h>
+#include <tensorflow/lite/interpreter.h>
+#include <tensorflow/lite/kernels/register.h>
+
+namespace armnnDelegate
+{
+
+TEST_SUITE("ArmnnDelegate")
+{
+
+TEST_CASE ("ArmnnDelegate Registered")
+{
+    using namespace tflite;
+    auto tfLiteInterpreter = std::make_unique<Interpreter>();
+
+    tfLiteInterpreter->AddTensors(3);
+    tfLiteInterpreter->SetInputs({0, 1});
+    tfLiteInterpreter->SetOutputs({2});
+
+    tfLiteInterpreter->SetTensorParametersReadWrite(0, kTfLiteFloat32, "input1", {1,2,2,1}, TfLiteQuantization());
+    tfLiteInterpreter->SetTensorParametersReadWrite(1, kTfLiteFloat32, "input2", {1,2,2,1}, TfLiteQuantization());
+    tfLiteInterpreter->SetTensorParametersReadWrite(2, kTfLiteFloat32, "output", {1,2,2,1}, TfLiteQuantization());
+
+    tflite::ops::builtin::BuiltinOpResolver opResolver;
+    const TfLiteRegistration* opRegister = opResolver.FindOp(BuiltinOperator_ADD, 1);
+    tfLiteInterpreter->AddNodeWithParameters({0, 1}, {2}, "", 0, nullptr, opRegister);
+
+    // Create the Armnn Delegate
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+    std::vector<armnn::BackendOptions> backendOptions;
+    backendOptions.emplace_back(
+        armnn::BackendOptions{ "BackendName",
+                               {
+                                  { "Option1", 42 },
+                                  { "Option2", true }
+                               }}
+    );
+
+    armnnDelegate::DelegateOptions delegateOptions(backends, backendOptions);
+    std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)>
+                       theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions),
+                                        armnnDelegate::TfLiteArmnnDelegateDelete);
+
+    auto status = tfLiteInterpreter->ModifyGraphWithDelegate(std::move(theArmnnDelegate));
+    CHECK(status == kTfLiteOk);
+    CHECK(tfLiteInterpreter != nullptr);
+}
+
+TEST_CASE ("ArmnnDelegateOptimizerOptionsRegistered")
+{
+    using namespace tflite;
+    auto tfLiteInterpreter = std::make_unique<Interpreter>();
+
+    tfLiteInterpreter->AddTensors(3);
+    tfLiteInterpreter->SetInputs({0, 1});
+    tfLiteInterpreter->SetOutputs({2});
+
+    tfLiteInterpreter->SetTensorParametersReadWrite(0, kTfLiteFloat32, "input1", {1,2,2,1}, TfLiteQuantization());
+    tfLiteInterpreter->SetTensorParametersReadWrite(1, kTfLiteFloat32, "input2", {1,2,2,1}, TfLiteQuantization());
+    tfLiteInterpreter->SetTensorParametersReadWrite(2, kTfLiteFloat32, "output", {1,2,2,1}, TfLiteQuantization());
+
+    tflite::ops::builtin::BuiltinOpResolver opResolver;
+    const TfLiteRegistration* opRegister = opResolver.FindOp(BuiltinOperator_ADD, 1);
+    tfLiteInterpreter->AddNodeWithParameters({0, 1}, {2}, "", 0, nullptr, opRegister);
+
+    // Create the Armnn Delegate
+    std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
+
+    armnn::OptimizerOptions optimizerOptions(true, true, false, true);
+
+    armnnDelegate::DelegateOptions delegateOptions(backends, optimizerOptions);
+    std::unique_ptr<TfLiteDelegate, decltype(&armnnDelegate::TfLiteArmnnDelegateDelete)>
+                       theArmnnDelegate(armnnDelegate::TfLiteArmnnDelegateCreate(delegateOptions),
+                                        armnnDelegate::TfLiteArmnnDelegateDelete);
+
+    auto status = tfLiteInterpreter->ModifyGraphWithDelegate(std::move(theArmnnDelegate));
+    CHECK(status == kTfLiteOk);
+    CHECK(tfLiteInterpreter != nullptr);
+}
+
+}
+
+} // namespace armnnDelegate