IVGCVSW-1951 Remove type templating from ClActivationWorkload
Change-Id: I200adcef35b861a412e7beef8043d5c7dddba443
diff --git a/src/backends/cl/workloads/ClActivationWorkload.cpp b/src/backends/cl/workloads/ClActivationWorkload.cpp
new file mode 100644
index 0000000..426af9f
--- /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