From ac42efd972b7d03da17f057b2ceaaac5d6e96b1a Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Wed, 26 Sep 2018 17:41:13 +0100
Subject: IVGCVSW-1900 : CL backend folder structure

* moving backends/ClWorkloads to backends/cl
* and moving pure Cl workload related code to
  backends/cl/workloads

Change-Id: I019a3c6b4da5e7a23074bf03fb057e63199ad129
---
 .../ClWorkloads/ClConvolution2dUint8Workload.cpp   | 81 ----------------------
 1 file changed, 81 deletions(-)
 delete mode 100644 src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp

(limited to 'src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp')

diff --git a/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp b/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp
deleted file mode 100644
index a9faec0d77..0000000000
--- a/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp
+++ /dev/null
@@ -1,81 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClConvolution2dUint8Workload.hpp"
-#include <backends/ClTensorHandle.hpp>
-#include <backends/CpuTensorHandle.hpp>
-#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
-#include <backends/ClLayerSupport.hpp>
-
-#include "ClWorkloadUtils.hpp"
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQueueDescriptor& descriptor,
-    const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
-    : Uint8Workload<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, descriptor.m_DataLayout);
-
-    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(), descriptor.m_DataLayout);
-    }
-
-    m_Data.ValidateInputsOutputs("ClConvolution2dUint8Workload", 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);
-
-    InitializeArmComputeClTensorData(*m_KernelTensor, m_Data.m_Weight);
-
-    if (m_BiasTensor)
-    {
-        InitializeArmComputeClTensorData(*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 ClConvolution2dUint8Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvolution2dUint8Workload_Execute");
-
-    m_ConvolutionLayer.run();
-}
-
-void ClConvolution2dUint8Workload::FreeUnusedTensors()
-{
-    FreeTensorIfUnused(m_KernelTensor);
-    FreeTensorIfUnused(m_BiasTensor);
-}
-
-} //namespace armnn
-
-- 
cgit v1.2.1