1 files changed, 133 insertions, 0 deletions
diff --git a/delegate/classic/src/Activation.hpp b/delegate/classic/src/Activation.hpp
new file mode 100644
index 0000000000..b86d89b4e5
--- /dev/null
+++ b/delegate/classic/src/Activation.hpp
@@ -0,0 +1,133 @@
+//
+// Copyright © 2022-2023 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 ValidateActivationOperator(DelegateData& delegateData,
+                                        TfLiteContext* tfLiteContext,
+                                        const armnn::TensorInfo& inputInfo,
+                                        const armnn::TensorInfo& outputInfo,
+                                        armnn::ActivationDescriptor& activationDesc)
+{
+    bool isSupported = false;
+    auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
+    {
+        FORWARD_LAYER_SUPPORT_FUNC("ACTIVATION",
+                                   tfLiteContext,
+                                   IsActivationSupported,
+                                   delegateData.m_Backends,
+                                   isSupported,
+                                   armnn::BackendId(),
+                                   inputInfo,
+                                   outputInfo,
+                                   activationDesc);
+    };
+
+    validateFunc(outputInfo, isSupported);
+    return isSupported ? kTfLiteOk : kTfLiteError;
+}
+
+TfLiteStatus VisitActivationOperator(DelegateData& delegateData,
+                                     TfLiteContext* tfLiteContext,
+                                     TfLiteNode* tfLiteNode,
+                                     int nodeIndex,
+                                     int32_t operatorCode)
+{
+    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, 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& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
+    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
+    {
+        return kTfLiteError;
+    }
+
+    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
+    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
+
+    armnn::ActivationDescriptor activationDesc;
+    switch(operatorCode)
+    {
+        case kTfLiteBuiltinRelu:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::ReLu;
+            break;
+        }
+        case kTfLiteBuiltinRelu6:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu;
+            activationDesc.m_A = 6.0f;
+            break;
+        }
+        case kTfLiteBuiltinLogistic:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::Sigmoid;
+            break;
+        }
+        case kTfLiteBuiltinTanh:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::TanH;
+            activationDesc.m_A = 1.0f;
+            activationDesc.m_B = 1.0f;
+            break;
+        }
+        case kTfLiteBuiltinElu:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::Elu;
+            activationDesc.m_A = 1.0f;
+            break;
+        }
+        case kTfLiteBuiltinHardSwish:
+        {
+            activationDesc.m_Function = armnn::ActivationFunction::HardSwish;
+            break;
+        }
+        default:
+        {
+            return kTfLiteError;
+        }
+    }
+    if (!delegateData.m_Network)
+    {
+        return ValidateActivationOperator(delegateData,
+                                          tfLiteContext,
+                                          inputTensorInfo,
+                                          outputTensorInfo,
+                                          activationDesc);
+    }
+    armnn::IConnectableLayer* activationLayer = delegateData.m_Network->AddActivationLayer(activationDesc);
+    ARMNN_ASSERT(activationLayer != nullptr);
+
+    armnn::IOutputSlot& outputSlot = activationLayer->GetOutputSlot(0);
+    outputSlot.SetTensorInfo(outputTensorInfo);
+
+    // try to connect the Constant Inputs if there are any
+    if(ProcessInputs(activationLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
+    {
+        return kTfLiteError;
+    }
+
+    // Connect
+    return Connect(activationLayer, tfLiteNode, delegateData);
+}
+
+} // namespace armnnDelegate