1 files changed, 121 insertions, 0 deletions
diff --git a/delegate/opaque/src/Prelu.hpp b/delegate/opaque/src/Prelu.hpp
index e16969768e..1a4037eb35 100644
--- a/delegate/opaque/src/Prelu.hpp
+++ b/delegate/opaque/src/Prelu.hpp
@@ -2,3 +2,124 @@
 // Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
+
+#pragma once
+
+#include <OpaqueDelegateUtils.hpp>
+
+namespace armnnOpaqueDelegate
+{
+
+TfLiteStatus ValidatePreluOperator(DelegateData& delegateData,
+                                   TfLiteOpaqueContext* tfLiteContext,
+                                   const armnn::TensorInfo& inputInfo,
+                                   const armnn::TensorInfo& alphaInfo,
+                                   const armnn::TensorInfo& outputInfo)
+{
+    bool isSupported = false;
+    auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("PRELU",
+                                          tfLiteContext,
+                                          IsPreluSupported,
+                                          delegateData.m_Backends,
+                                          isSupported,
+                                          armnn::BackendId(),
+                                          inputInfo,
+                                          alphaInfo,
+                                          outputInfo);
+    };
+
+    validateFunc(outputInfo, isSupported);
+    return isSupported ? kTfLiteOk : kTfLiteError;
+}
+
+TfLiteStatus VisitPreluOperator(DelegateData& delegateData,
+                                TfLiteOpaqueContext* tfLiteContext,
+                                TfLiteOpaqueNode* tfLiteNode,
+                                int nodeIndex,
+                                int32_t operatorCode)
+{
+    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.
+    int numInputs = 0;
+    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, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteOpaqueTensor* tfLiteAlphaTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]);
+    if (!IsValid(tfLiteContext, tfLiteAlphaTensor, operatorCode, 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, tfLiteOutputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& alphaTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteAlphaTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true);
+
+    if (!delegateData.m_Network)
+    {
+        return ValidatePreluOperator(delegateData,
+                                     tfLiteContext,
+                                     inputTensorInfo,
+                                     alphaTensorInfo,
+                                     outputTensorInfo);
+    }
+
+    armnn::IConnectableLayer* preluLayer = delegateData.m_Network->AddPreluLayer();
+    ARMNN_ASSERT(preluLayer != nullptr);
+
+    bool isConstantAlpha = IsConstantTensor(tfLiteAlphaTensor);
+
+    // Add constant layer for constant alpha
+    if (isConstantAlpha)
+    {
+        auto constAlphaTensor = armnn::ConstTensor(alphaTensorInfo, TfLiteOpaqueTensorData(tfLiteAlphaTensor));
+
+        armnn::IConnectableLayer* constLayer = delegateData.m_Network->AddConstantLayer(constAlphaTensor);
+        ARMNN_ASSERT(constLayer != nullptr);
+
+        constLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo);
+        constLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1));
+    }
+
+    armnn::IOutputSlot& outputSlot = preluLayer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // Connect
+    return Connect(preluLayer, tfLiteContext, tfLiteNode, delegateData);
+}
+
+} // namespace armnnOpaqueDelegate