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, 122 insertions, 0 deletions

diff --git a/delegate/classic/src/Pack.hpp b/delegate/classic/src/Pack.hpp
new file mode 100644
index 0000000000..99c8b804ff
--- /dev/null
+++ b/delegate/classic/src/Pack.hpp
@@ -0,0 +1,122 @@
+//
+// Copyright © 2021,2022-2023 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>
+
+namespace armnnDelegate
+{
+
+TfLiteStatus VisitPackOperator(DelegateData& delegateData,
+                               TfLiteContext* tfLiteContext,
+                               TfLiteNode* tfLiteNode,
+                               int nodeIndex,
+                               int32_t operatorCode)
+{
+    unsigned int numInputs = tfLiteNode->inputs->size;
+    if (numInputs < 1)
+    {
+        TF_LITE_MAYBE_KERNEL_LOG(
+                tfLiteContext, "TfLiteArmnnDelegate: Must have at least one input in (%d != %d) in node #%d",
+                1, numInputs, nodeIndex);
+        return kTfLiteError;
+    }
+
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
+
+    // Validate all inputs and get TensorInfo
+    std::vector<armnn::TensorInfo> inputTensorInfos;
+    for (unsigned int i = 0; i < numInputs; ++i)
+    {
+        const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[i]];
+        if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
+        {
+            return kTfLiteError;
+        }
+
+        armnn::TensorInfo inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
+        inputTensorInfos.emplace_back(inputTensorInfo);
+    }
+
+    // Convert input tensors to const armnn::TensorInfo* type for FORWARD_LAYER_SUPPORT_FUNC.
+    std::vector<const armnn::TensorInfo*> inputConstTensorInfos;
+    std::transform(inputTensorInfos.begin(),
+                   inputTensorInfos.end(),
+                   std::back_inserter(inputConstTensorInfos),
+                   [](armnn::TensorInfo& t)->const armnn::TensorInfo*{ return &t; });
+
+    // Validate output and get TensorInfo
+    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
+
+    armnn::StackDescriptor desc;
+    desc.m_NumInputs = static_cast<uint32_t>(numInputs);
+
+    // Get axis from TfLite parameters
+    auto* params = reinterpret_cast<TfLitePackParams*>(tfLiteNode->builtin_data);
+    desc.m_Axis = static_cast<uint32_t>(params->axis);
+
+    // Use the tensor shape of the first input as the "correct" input shape in the descriptor
+    desc.m_InputShape = inputTensorInfos[0].GetShape();
+
+    // Check if supported
+    bool isSupported = false;
+    armnn::BackendId setBackend;
+    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_SUPPORT_FUNC("STACK",
+                                   tfLiteContext,
+                                   IsStackSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   setBackend,
+                                   inputConstTensorInfos,
+                                   outputTensorInfo,
+                                   desc);
+    };
+
+    // If the m_Network is a nullptr, this signals that a prerequisite TfLite callback is required to clarify the
+    // support for the operator
+    // If supported, VisitPackOperator will be called again to add the layer to the network as seen below
+    if (!delegateData.m_Network)
+    {
+        validateFunc(outputTensorInfo, isSupported);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    // The TfLite Pack operator is equivalent to the ArmNN Stack operator
+    armnn::IConnectableLayer* layer = delegateData.m_Network->AddStackLayer(desc);
+    layer->SetBackendId(setBackend);
+    ARMNN_ASSERT(layer != nullptr);
+
+    // Connect the Constant Inputs
+    auto inputsTensorsProcess = ProcessInputs(layer,
+                                              delegateData,
+                                              tfLiteContext,
+                                              tfLiteNode);
+    if (inputsTensorsProcess == kTfLiteError)
+    {
+        return inputsTensorsProcess;
+    }
+
+    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // Connect
+    return Connect(layer, tfLiteNode, delegateData);
+}
+
+} // namespace armnnDelegate