1 files changed, 43 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonAbsWorkload.cpp b/src/backends/neon/workloads/NeonAbsWorkload.cpp
new file mode 100644
index 0000000000..7f8ed5a006
--- /dev/null
+++ b/src/backends/neon/workloads/NeonAbsWorkload.cpp
@@ -0,0 +1,43 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonAbsWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorHandle.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <boost/cast.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonAbsWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput  = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::NEAbsLayer::validate(&aclInput, &aclOutput);
+}
+
+NeonAbsWorkload::NeonAbsWorkload(const AbsQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<AbsQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonAbsWorkload", 1, 1);
+
+    arm_compute::ITensor& input  = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_AbsLayer.configure(&input, &output);
+}
+
+void NeonAbsWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonAbsWorkload_Execute");
+    m_AbsLayer.run();
+}
+
+} // namespace armnn