IVGCVSW-7575 Implement opaque delegate for ArgMinMax operator

* Added Opaque ArgMinMax and associated test cases

Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I098b94cc35707370a0bbc7456bfdd48bb47432f0

4 files changed, 175 insertions, 0 deletions

diff --git a/delegate/CMakeLists.txt b/delegate/CMakeLists.txt
index 7dc89d79cf..3c5033af5b 100644
--- a/delegate/CMakeLists.txt
+++ b/delegate/CMakeLists.txt
@@ -259,6 +259,8 @@ if(BUILD_UNIT_TESTS)
              common/src/test/DelegateTestInterpreterUtils.hpp
              opaque/src/test/ArmnnOpaqueDelegateTest.cpp
              opaque/src/test/DelegateTestInterpreter.cpp
+             test/ArgMinMaxTest.cpp
+             test/ArgMinMaxTestHelper.hpp
              test/BatchSpaceTest.cpp
              test/BatchSpaceTestHelper.hpp
              test/CastTest.cpp
diff --git a/delegate/opaque/CMakeLists.txt b/delegate/opaque/CMakeLists.txt
index 958dcf6014..156f79b0a9 100644
--- a/delegate/opaque/CMakeLists.txt
+++ b/delegate/opaque/CMakeLists.txt
@@ -7,6 +7,7 @@ set(armnnOpaqueDelegateObject_sources)
 list(APPEND armnnOpaqueDelegateObject_sources
         include/armnn_delegate.hpp
         include/Version.hpp
+        src/ArgMinMax.hpp
         src/armnn_delegate.cpp
         src/BatchSpace.hpp
         src/Convolution.hpp
diff --git a/delegate/opaque/src/ArgMinMax.hpp b/delegate/opaque/src/ArgMinMax.hpp
index e16969768e..7dfd89f57b 100644
--- a/delegate/opaque/src/ArgMinMax.hpp
+++ b/delegate/opaque/src/ArgMinMax.hpp
@@ -2,3 +2,163 @@
 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+
+#include <OpaqueDelegateUtils.hpp>
+
+#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 armnnOpaqueDelegate
+{
+TfLiteStatus VisitArgMinMaxOperator(DelegateData& delegateData,
+                                    TfLiteOpaqueContext* tfLiteContext,
+                                    TfLiteOpaqueNode* tfLiteNode,
+                                    int nodeIndex,
+                                    int32_t argMinMaxOperatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    // Gather input indices and use to get input tensor.
+    auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode);
+    const int* inputTensors;
+    if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteInputTensor, argMinMaxOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    // Use input indices to get filter tensor.
+    const TfLiteOpaqueTensor* tfLiteAxisTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
+    if(!IsValid(tfLiteAxisTensor))
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Invalid filter tensor in operator #%d node #%d: ",
+                argMinMaxOperatorCode, nodeIndex);
+        return kTfLiteError;
+    }
+
+    // Gather output indices and use to get output tensors.
+    int numOutputs = 0;
+    const int* outputTensors;
+    if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numOutputs) != kTfLiteOk)
+    {
+        TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
+                nodeIndex);
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteOutputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[0]);
+    if (!IsValid(tfLiteContext, tfLiteInputTensor, argMinMaxOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+    // Get const axis value from model and set it to descriptor.
+    if (!IsValid(tfLiteContext, tfLiteAxisTensor, argMinMaxOperatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    armnn::ArgMinMaxDescriptor desc;
+    auto* axisData = static_cast<int*>(TfLiteOpaqueTensorData(tfLiteAxisTensor));
+    // Get the axis value from the input tensor
+    switch (TfLiteOpaqueTensorType(tfLiteAxisTensor))
+    {
+        case kTfLiteInt32:
+        case kTfLiteInt64:
+            desc.m_Axis = axisData[0];
+            break;
+        default:
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: Axis value data type is not supported in operator #%d node #%d: ",
+                argMinMaxOperatorCode, nodeIndex);
+            return kTfLiteError;
+    }
+
+    // If output_type is int32 then set Signed32 else Signed64. Default type is Signed64.
+    if (argMinMaxOperatorCode == kTfLiteBuiltinArgMax)
+    {
+        desc.m_Function = armnn::ArgMinMaxFunction::Max;
+        auto* argMaxParameters = reinterpret_cast<TfLiteArgMaxParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode));
+        if (argMaxParameters->output_type != kTfLiteInt32 && argMaxParameters->output_type != kTfLiteInt64)
+        {
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                tfLiteContext,
+                "TfLiteArmnnOpaqueDelegate: output_type data type is not supported in operator #%d node #%d: ",
+                argMinMaxOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+    }
+    else
+    {
+        desc.m_Function = armnn::ArgMinMaxFunction::Min;
+        auto* argMinParameters = reinterpret_cast<TfLiteArgMinParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode));
+        if (argMinParameters->output_type != kTfLiteInt32 && argMinParameters->output_type != kTfLiteInt64)
+        {
+            TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
+                    tfLiteContext,
+                    "TfLiteArmnnOpaqueDelegate: output_type data type is not supported in operator #%d node #%d: ",
+                    argMinMaxOperatorCode, nodeIndex);
+            return kTfLiteError;
+        }
+    }
+
+    bool isSupported = false;
+    armnn::BackendId setBackend;
+    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("ARGMINMAX",
+                                           tfLiteContext,
+                                           IsArgMinMaxSupported,
+                                           delegateData.m_Backends,
+                                           isSupported,
+                                           setBackend,
+                                           inputTensorInfo,
+                                           outInfo,
+                                           desc);
+    };
+
+    if (!delegateData.m_Network)
+    {
+        validateFunc(outputTensorInfo, isSupported);
+        return isSupported ? kTfLiteOk : kTfLiteError;
+    }
+
+    // Add an ArgMinMax layer
+    armnn::IConnectableLayer* layer = delegateData.m_Network->AddArgMinMaxLayer(desc);
+    layer->SetBackendId(setBackend);
+    ARMNN_ASSERT(layer != nullptr);
+
+    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // try to connect the Constant Inputs if there are any
+    if(ProcessInputs(layer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
+    {
+        return kTfLiteError;
+    }
+
+    // Connect
+    return Connect(layer, tfLiteContext, tfLiteNode, delegateData);
+}
+
+}
\ No newline at end of file
diff --git a/delegate/opaque/src/armnn_delegate.cpp b/delegate/opaque/src/armnn_delegate.cpp
index 7f3d8cf9e9..4d43b9271e 100644
--- a/delegate/opaque/src/armnn_delegate.cpp
+++ b/delegate/opaque/src/armnn_delegate.cpp
@@ -622,6 +622,18 @@ TfLiteStatus ArmnnSubgraph::VisitNode(DelegateData& delegateData,
 {
     switch (TfLiteRegistrationExternalGetBuiltInCode(tfLiteRegistration))
     {
+        case kTfLiteBuiltinArgMax:
+            return VisitArgMinMaxOperator(delegateData,
+                                          tfLiteContext,
+                                          tfLiteNode,
+                                          nodeIndex,
+                                          kTfLiteBuiltinArgMax);
+        case kTfLiteBuiltinArgMin:
+            return VisitArgMinMaxOperator(delegateData,
+                                          tfLiteContext,
+                                          tfLiteNode,
+                                          nodeIndex,
+                                          kTfLiteBuiltinArgMin);
         case kTfLiteBuiltinBatchToSpaceNd:
             return VisitBatchToSpaceNdOperator(delegateData,
                                                tfLiteContext,