1 files changed, 82 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp b/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp
new file mode 100644
index 0000000000..6bb275ac13
--- /dev/null
+++ b/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp
@@ -0,0 +1,82 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <arm_compute/core/Types.h>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+#include <backends/neon/NeonTensorHandle.hpp>
+#include <backends/neon/workloads/NeonWorkloadUtils.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/Workload.hpp>
+#include <Half.hpp>
+
+#include <boost/cast.hpp>
+
+namespace armnn
+{
+
+// Base class template providing an implementation of the Constant layer common to all data types.
+template <armnn::DataType... DataFormats>
+class NeonBaseConstantWorkload : public TypedWorkload<ConstantQueueDescriptor, DataFormats...>
+{
+public:
+    NeonBaseConstantWorkload(const ConstantQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : TypedWorkload<ConstantQueueDescriptor, DataFormats...>(descriptor, info)
+        , m_RanOnce(false)
+    {
+    }
+
+    virtual void Execute() const override
+    {
+        using namespace armcomputetensorutils;
+
+        // The intermediate tensor held by the corresponding layer output handler can be initialised with the
+        // given data on the first inference, then reused for subsequent inferences.
+        // The initialisation cannot happen at workload construction time since the ACL kernel for the next layer
+        // may not have been configured at the time.
+        if (!m_RanOnce)
+        {
+            const ConstantQueueDescriptor& data = this->m_Data;
+
+            BOOST_ASSERT(data.m_LayerOutput != nullptr);
+            arm_compute::ITensor& output =
+                boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetTensor();
+            arm_compute::DataType computeDataType =
+                boost::polymorphic_downcast<NeonTensorHandle*>(data.m_Outputs[0])->GetDataType();
+
+            switch (computeDataType)
+            {
+                case arm_compute::DataType::F16:
+                {
+                    CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<Half>(), output);
+                    break;
+                }
+                case arm_compute::DataType::F32:
+                {
+                    CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<float>(), output);
+                    break;
+                }
+                case arm_compute::DataType::QASYMM8:
+                {
+                    CopyArmComputeITensorData(data.m_LayerOutput->GetConstTensor<uint8_t>(), output);
+                    break;
+                }
+                default:
+                {
+                    BOOST_ASSERT_MSG(false, "Unknown data type");
+                    break;
+                }
+            }
+
+            m_RanOnce = true;
+        }
+    }
+
+private:
+    mutable bool m_RanOnce;
+};
+
+} //namespace armnn