1 files changed, 0 insertions, 110 deletions
diff --git a/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
deleted file mode 100644
index 7c0736645b..0000000000
--- a/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
+++ /dev/null
@@ -1,110 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClTransposeConvolution2dWorkload.hpp"
-
-#include "ClWorkloadUtils.hpp"
-
-#include <cl/ClLayerSupport.hpp>
-#include <cl/ClTensorHandle.hpp>
-#include <cl/ClLayerSupport.hpp>
-
-#include <aclCommon/ArmComputeUtils.hpp>
-#include <aclCommon/ArmComputeTensorUtils.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-
-#include <arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h>
-
-namespace armnn
-{
-
-using namespace armcomputetensorutils;
-
-arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo& input,
-                                                             const TensorInfo& output,
-                                                             const TransposeConvolution2dDescriptor& descriptor,
-                                                             const TensorInfo& weights,
-                                                             const Optional<TensorInfo>& biases)
-{
-    arm_compute::TensorInfo aclInputInfo   = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
-    arm_compute::TensorInfo aclOutputInfo  = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
-    arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
-
-    arm_compute::TensorInfo aclBiasesInfo;
-    arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr;
-
-    if (descriptor.m_BiasEnabled)
-    {
-        BOOST_ASSERT(biases.has_value());
-
-        aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
-        optionalAclBiasesInfo = &aclBiasesInfo;
-    }
-
-    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(descriptor);
-
-    return arm_compute::CLDeconvolutionLayer::validate(&aclInputInfo,
-                                                       &aclWeightsInfo,
-                                                       optionalAclBiasesInfo,
-                                                       &aclOutputInfo,
-                                                       padStrideInfo);
-}
-
-ClTransposeConvolution2dWorkload::ClTransposeConvolution2dWorkload(
-    const TransposeConvolution2dQueueDescriptor& descriptor,
-    const WorkloadInfo& info,
-    std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) :
-    BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info),
-    m_Layer(memoryManager)
-{
-    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
-
-    m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_WeightsTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
-
-    if (m_Data.m_Parameters.m_BiasEnabled)
-    {
-        m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
-        BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
-    }
-
-    m_Data.ValidateInputsOutputs("ClTransposeConvolution2dWorkload", 1, 1);
-
-    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
-
-    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
-
-    input.info()->set_data_layout(aclDataLayout);
-    output.info()->set_data_layout(aclDataLayout);
-
-    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
-    m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
-
-    InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
-    if (m_BiasesTensor)
-    {
-        InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
-    }
-
-    m_Layer.prepare();
-
-    FreeUnusedTensors();
-}
-
-void ClTransposeConvolution2dWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClTransposeConvolution2dWorkload_Execute");
-    RunClFunction(m_Layer, CHECK_LOCATION());
-}
-
-void ClTransposeConvolution2dWorkload::FreeUnusedTensors()
-{
-    FreeTensorIfUnused(m_WeightsTensor);
-    FreeTensorIfUnused(m_BiasesTensor);
-}
-
-} // namespace armnn