1 files changed, 66 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClAdditionWorkload.cpp b/src/backends/cl/workloads/ClAdditionWorkload.cpp
new file mode 100644
index 0000000000..aa032e872c
--- /dev/null
+++ b/src/backends/cl/workloads/ClAdditionWorkload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClAdditionWorkload.hpp"
+
+#include <backends/cl/ClTensorHandle.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+
+#include "ClWorkloadUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
+
+template <armnn::DataType... T>
+ClAdditionWorkload<T...>::ClAdditionWorkload(const AdditionQueueDescriptor& descriptor,
+                                                  const WorkloadInfo& info)
+    : TypedWorkload<AdditionQueueDescriptor, T...>(descriptor, info)
+{
+    this->m_Data.ValidateInputsOutputs("ClAdditionWorkload", 2, 1);
+
+    arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
+    m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy);
+}
+
+template <armnn::DataType... T>
+void ClAdditionWorkload<T...>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClAdditionWorkload_Execute");
+    m_Layer.run();
+}
+
+bool ClAdditionValidate(const TensorInfo& input0,
+                        const TensorInfo& input1,
+                        const TensorInfo& output,
+                        std::string* reasonIfUnsupported)
+{
+    const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    const arm_compute::Status aclStatus = arm_compute::CLArithmeticAddition::validate(&aclInput0Info,
+                                                                                      &aclInput1Info,
+                                                                                      &aclOutputInfo,
+                                                                                      g_AclConvertPolicy);
+
+    const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK);
+    if (!supported && reasonIfUnsupported)
+    {
+        *reasonIfUnsupported = aclStatus.error_description();
+    }
+
+    return supported;
+}
+
+} //namespace armnn
+
+template class armnn::ClAdditionWorkload<armnn::DataType::Float16, armnn::DataType::Float32>;
+template class armnn::ClAdditionWorkload<armnn::DataType::QuantisedAsymm8>;