From 3982548e928c58b1c5d876d3b14fae452cef37ca Mon Sep 17 00:00:00 2001
From: James Conroy <james.conroy@arm.com>
Date: Thu, 27 May 2021 17:44:50 +0100
Subject: IVGCVSW-6061 Add PRELU support to TF Lite delegate

* Alpha is supported both as a constant and as an
  input tensor.

Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I20f30d479b87dc5fbcf75a1ce5305d70ae9b0646
---
 delegate/src/Prelu.hpp | 107 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 107 insertions(+)
 create mode 100644 delegate/src/Prelu.hpp

(limited to 'delegate/src/Prelu.hpp')

diff --git a/delegate/src/Prelu.hpp b/delegate/src/Prelu.hpp
new file mode 100644
index 0000000000..9baeaf475d
--- /dev/null
+++ b/delegate/src/Prelu.hpp
@@ -0,0 +1,107 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "DelegateUtils.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 armnnDelegate
+{
+
+TfLiteStatus ValidatePreluOperator(DelegateData& delegateData,
+                                   TfLiteContext* 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_SUPPORT_FUNC(__func__,
+                                   tfLiteContext,
+                                   IsPreluSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   inputInfo,
+                                   alphaInfo,
+                                   outputInfo);
+    };
+
+    validateFunc(outputInfo, isSupported);
+    return isSupported ? kTfLiteOk : kTfLiteError;
+}
+
+TfLiteStatus VisitPreluOperator(DelegateData& delegateData,
+                                TfLiteContext* tfLiteContext,
+                                TfLiteNode* tfLiteNode,
+                                int nodeIndex,
+                                int32_t operatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
+    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
+
+    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
+
+    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteAlphaTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
+    if (!IsValid(tfLiteContext, tfLiteAlphaTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& alphaTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteAlphaTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
+
+    if (!delegateData.m_Network)
+    {
+        return ValidatePreluOperator(delegateData,
+                                     tfLiteContext,
+                                     inputTensorInfo,
+                                     alphaTensorInfo,
+                                     outputTensorInfo);
+    }
+
+    armnn::IConnectableLayer* preluLayer = delegateData.m_Network->AddPreluLayer();
+    ARMNN_ASSERT(preluLayer != nullptr);
+
+    bool isConstantAlpha = tflite::IsConstantTensor(&tfLiteAlphaTensor);
+
+    // Add constant layer for constant alpha
+    if (isConstantAlpha)
+    {
+        auto constAlphaTensor = armnn::ConstTensor(alphaTensorInfo, tfLiteAlphaTensor.data.data);
+
+        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, tfLiteNode, delegateData);
+}
+
+} // namespace armnnDelegate
\ No newline at end of file
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