1 files changed, 59 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClActivationWorkload.cpp b/src/backends/cl/workloads/ClActivationWorkload.cpp
new file mode 100644
index 0000000000..426af9f16d
--- /dev/null
+++ b/src/backends/cl/workloads/ClActivationWorkload.cpp
@@ -0,0 +1,59 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClActivationWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/cl/ClLayerSupport.hpp>
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeUtils.hpp>
+
+namespace armnn
+{
+arm_compute::Status ClActivationWorkloadValidate(const TensorInfo& input,
+                                                 const TensorInfo& output,
+                                                 const ActivationDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    const arm_compute::ActivationLayerInfo activationLayerInfo =
+        ConvertActivationDescriptorToAclActivationLayerInfo(descriptor);
+
+    if (input.GetDataType() == DataType::QuantisedAsymm8 &&
+        activationLayerInfo.activation() == arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC)
+    {
+        return arm_compute::Status{arm_compute::ErrorCode::RUNTIME_ERROR,
+                                   "CL: Logistic Activations unsupported with QAsymm8 data type."};
+    }
+
+    return arm_compute::CLActivationLayer::validate(&aclInput,
+                                                    &aclOutput,
+                                                    activationLayerInfo);
+}
+
+ClActivationWorkload::ClActivationWorkload(const ActivationQueueDescriptor& descriptor,
+                                           const WorkloadInfo& info)
+    : BaseWorkload<ActivationQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClActivationWorkload", 1, 1);
+
+    const arm_compute::ActivationLayerInfo activationLayerInfo =
+        ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters);
+
+    arm_compute::ICLTensor& input  = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+    m_ActivationLayer.configure(&input, &output, activationLayerInfo);
+}
+
+void ClActivationWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClActivationWorkload_Execute");
+    m_ActivationLayer.run();
+}
+
+} //namespace armnn