1 files changed, 52 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonSubtractionWorkload.cpp b/src/backends/neon/workloads/NeonSubtractionWorkload.cpp
new file mode 100644
index 0000000000..39176aac61
--- /dev/null
+++ b/src/backends/neon/workloads/NeonSubtractionWorkload.cpp
@@ -0,0 +1,52 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonSubtractionWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo& input0,
+                                                    const TensorInfo& input1,
+                                                    const TensorInfo& output)
+{
+    const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
+    const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
+    const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+
+    return arm_compute::NEArithmeticSubtraction::validate(&aclInput0,
+                                                          &aclInput1,
+                                                          &aclOutput,
+                                                          arm_compute::ConvertPolicy::SATURATE);
+}
+
+NeonSubtractionWorkload::NeonSubtractionWorkload(const SubtractionQueueDescriptor& descriptor,
+                                                 const WorkloadInfo& info)
+    : BaseWorkload<SubtractionQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonSubtractionWorkload", 2, 1);
+
+    arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    auto layer = std::make_unique<arm_compute::NEArithmeticSubtraction>();
+    layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
+    m_SubLayer.reset(layer.release());
+}
+
+void NeonSubtractionWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSubtractionWorkload_Execute");
+    m_SubLayer->run();
+}
+
+} //namespace armnn