1 files changed, 65 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClGreaterWorkload.cpp b/src/backends/cl/workloads/ClGreaterWorkload.cpp
new file mode 100644
index 0000000000..435ead853f
--- /dev/null
+++ b/src/backends/cl/workloads/ClGreaterWorkload.cpp
@@ -0,0 +1,65 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClGreaterWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <cl/ClLayerSupport.hpp>
+#include <cl/ClTensorHandle.hpp>
+#include <cl/ClLayerSupport.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClGreaterWorkloadValidate(const TensorInfo& input0,
+                                              const TensorInfo& input1,
+                                              const TensorInfo& output)
+{
+    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::CLComparison::validate(
+        &aclInput0Info,
+        &aclInput1Info,
+        &aclOutputInfo,
+        arm_compute::ComparisonOperation::Greater);
+
+    return aclStatus;
+}
+
+template<DataType T>
+ClGreaterWorkload<T>::ClGreaterWorkload(const GreaterQueueDescriptor& descriptor,
+                                        const WorkloadInfo& info)
+    : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClGreaterWorkload", 2, 1);
+
+    arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_GreaterLayer.configure(&input0, &input1, &output, arm_compute::ComparisonOperation::Greater);
+}
+
+template<DataType T>
+void ClGreaterWorkload<T>::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClGreaterWorkload_Execute");
+    RunClFunction(m_GreaterLayer, CHECK_LOCATION());
+}
+
+template class ClGreaterWorkload<DataType::Float32>;
+template class ClGreaterWorkload<DataType::QuantisedAsymm8>;
+
+} //namespace armnn