IVGCVSW-1784: Rename float32 workloads for ACL

Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b

1 files changed, 0 insertions, 79 deletions

diff --git a/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp
deleted file mode 100644
index 9ac31df5c1..0000000000
--- a/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp
+++ /dev/null
@@ -1,79 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// See LICENSE file in the project root for full license information.
-//
-
-#include "ClConvolution2dFloat32Workload.hpp"
-#include "backends/ClTensorHandle.hpp"
-#include "backends/CpuTensorHandle.hpp"
-#include "backends/ArmComputeTensorUtils.hpp"
-#include "backends/ClLayerSupport.hpp"
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-ClConvolution2dFloat32Workload::ClConvolution2dFloat32Workload(const Convolution2dQueueDescriptor& descriptor,
-    const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
-    : FloatWorkload<Convolution2dQueueDescriptor>(descriptor, info)
-    , m_ConvolutionLayer(memoryManager)
-{
-
-    // todo: check tensor shapes match.
-    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
-
-    m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_KernelTensor, weightInfo);
-
-    arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
-                                             m_Data.m_Parameters.m_StrideY,
-                                             m_Data.m_Parameters.m_PadLeft,
-                                             m_Data.m_Parameters.m_PadRight,
-                                             m_Data.m_Parameters.m_PadTop,
-                                             m_Data.m_Parameters.m_PadBottom,
-                                             arm_compute::DimensionRoundingType::FLOOR);
-
-    if (m_Data.m_Parameters.m_BiasEnabled)
-    {
-        m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
-        BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
-    }
-
-    m_Data.ValidateInputsOutputs("ClConvolution2dFloat32Workload", 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();
-
-    m_ConvolutionLayer.configure(&input,
-                                 m_KernelTensor.get(),
-                                 m_BiasTensor.get(),
-                                 &output,
-                                 padStrideInfo);
-
-    InitializeArmComputeClTensorDataForFloatTypes(*m_KernelTensor, m_Data.m_Weight);
-
-    if (m_BiasTensor)
-    {
-        InitializeArmComputeClTensorDataForFloatTypes(*m_BiasTensor, m_Data.m_Bias);
-    }
-
-    // Force Compute Library to perform the necessary copying and reshaping, after which
-    // delete all the input tensors that will no longer be needed
-    m_ConvolutionLayer.prepare();
-    FreeUnusedTensors();
-}
-
-void ClConvolution2dFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvolution2dFloat32Workload_Execute");
-
-    m_ConvolutionLayer.run();
-}
-
-void ClConvolution2dFloat32Workload::FreeUnusedTensors()
-{
-    FreeTensorIfUnused(m_KernelTensor);
-    FreeTensorIfUnused(m_BiasTensor);
-}
-
-} //namespace armnn