IVGCVSW-3117 Rename NeonMergerWorkload to NeonConcatWorkload

Change-Id: I9a373a31bfabbe0f691d7f9e240ac08e072b2c7d
Signed-off-by: Jim Flynn <jim.flynn@arm.com>

1 files changed, 0 insertions, 103 deletions

diff --git a/src/backends/neon/workloads/NeonMergerWorkload.cpp b/src/backends/neon/workloads/NeonMergerWorkload.cpp
deleted file mode 100644
index 64d4d93d97..0000000000
--- a/src/backends/neon/workloads/NeonMergerWorkload.cpp
+++ /dev/null
@@ -1,103 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonMergerWorkload.hpp"
-
-#include "NeonWorkloadUtils.hpp"
-
-#include <aclCommon/ArmComputeTensorUtils.hpp>
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <neon/NeonTensorHandle.hpp>
-
-
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-namespace
-{
-size_t CalcAxis(const armnn::MergerDescriptor& desc)
-{
-    return (desc.GetNumDimensions() - desc.GetConcatAxis()) - 1;
-}
-} //namespace
-
-arm_compute::Status NeonMergerWorkloadValidate(const std::vector<const TensorInfo*>& inputs,
-                                               const TensorInfo& output,
-                                               const MergerDescriptor& descriptor)
-
-{
-    std::vector<arm_compute::TensorInfo> aclInputs;
-    for (const TensorInfo* input : inputs)
-    {
-        arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, armnn::DataLayout::NCHW);
-        aclInputs.emplace_back(aclInputInfo);
-    }
-    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
-    std::vector<arm_compute::ITensorInfo*> aclInputPtrs;
-    for (arm_compute::ITensorInfo& input : aclInputs)
-    {
-        aclInputPtrs.emplace_back(&input);
-    }
-
-    size_t aclAxis = CalcAxis(descriptor);
-    return arm_compute::NEConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis);
-}
-
-NeonMergerWorkload::NeonMergerWorkload(
-const MergerQueueDescriptor& descriptor, const WorkloadInfo& info)
-        : BaseWorkload<MergerQueueDescriptor>(descriptor, info)
-{
-    bool allInputsAreSubtensors = true;
-
-    // Check that all inputs are sub-tensors
-    for (auto input : descriptor.m_Inputs)
-    {
-        if (!input->GetParent())
-        {
-            // Non sub-tensor input found so we need to execute the merger function
-            allInputsAreSubtensors = false;
-            break;
-        }
-    }
-
-    if (allInputsAreSubtensors)
-    {
-        // Can skip configuring the merger function since it's not executed
-        return;
-    }
-
-    std::vector<arm_compute::ITensor *> aclInputs;
-    for (auto input : m_Data.m_Inputs)
-    {
-        arm_compute::ITensor& aclInput  = boost::polymorphic_pointer_downcast<INeonTensorHandle>(input)->GetTensor();
-        aclInputs.emplace_back(&aclInput);
-    }
-    arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<INeonTensorHandle>(
-        m_Data.m_Outputs[0])->GetTensor();
-
-    // Create the layer function
-    m_Layer.reset(new arm_compute::NEConcatenateLayer());
-
-    // Configure input and output tensors
-    size_t aclAxis = CalcAxis(descriptor.m_Parameters);
-    m_Layer->configure(aclInputs, &output, aclAxis);
-
-    // Prepare
-    m_Layer->prepare();
-}
-
-void NeonMergerWorkload::Execute() const
-{
-    if (m_Layer)
-    {
-        ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMergerWorkload_Execute");
-        m_Layer->run();
-    }
-}
-
-} //namespace armnn
-