1 files changed, 0 insertions, 82 deletions
diff --git a/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp b/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp
deleted file mode 100644
index 828e476d29..0000000000
--- a/src/backends/neon/workloads/NeonBaseConstantWorkload.hpp
+++ /dev/null
@@ -1,82 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <arm_compute/core/Types.h>
-#include <armnnUtils/Half.hpp>
-#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 <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