Creating gh-pages documentation for ArmNN

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

1 files changed, 0 insertions, 85 deletions

diff --git a/src/backends/cl/workloads/ClSpaceToBatchNdWorkload.cpp b/src/backends/cl/workloads/ClSpaceToBatchNdWorkload.cpp
deleted file mode 100644
index 64da92c815..0000000000
--- a/src/backends/cl/workloads/ClSpaceToBatchNdWorkload.cpp
+++ /dev/null
@@ -1,85 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClSpaceToBatchNdWorkload.hpp"
-
-#include "ClWorkloadUtils.hpp"
-
-#include <aclCommon/ArmComputeUtils.hpp>
-#include <aclCommon/ArmComputeTensorUtils.hpp>
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <cl/ClLayerSupport.hpp>
-#include <cl/ClTensorHandle.hpp>
-#include <cl/ClLayerSupport.hpp>
-
-#include <boost/polymorphic_pointer_cast.hpp>
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-arm_compute::Status ClSpaceToBatchNdWorkloadValidate(const TensorInfo& input,
-                                                     const TensorInfo& output,
-                                                     const SpaceToBatchNdDescriptor& descriptor)
-{
-    const arm_compute::TensorInfo aclInputInfo  = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
-    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
-
-    // ArmNN blockShape is [H, W] Cl asks for W, H
-    int32_t blockHeight = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[0]);
-    int32_t blockWidth  = boost::numeric_cast<int32_t>(descriptor.m_BlockShape[1]);
-
-    arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
-        descriptor.m_PadList[1].first, descriptor.m_PadList[0].first);
-    arm_compute::Size2D paddingRightBottom  = BuildArmComputeSize2D(
-        descriptor.m_PadList[1].second, descriptor.m_PadList[0].second);
-
-    return arm_compute::CLSpaceToBatchLayer::validate(&aclInputInfo,
-                                                      blockWidth,
-                                                      blockHeight,
-                                                      paddingLeftTop,
-                                                      paddingRightBottom,
-                                                      &aclOutputInfo);
-}
-
-ClSpaceToBatchNdWorkload::ClSpaceToBatchNdWorkload(
-    const SpaceToBatchNdQueueDescriptor& descriptor, const WorkloadInfo& info)
-    : BaseWorkload<SpaceToBatchNdQueueDescriptor>(descriptor, info)
-{
-    m_Data.ValidateInputsOutputs("ClSpaceToBatchNdWorkload", 1, 1);
-
-    arm_compute::ICLTensor& input  =
-        boost::polymorphic_pointer_downcast<IClTensorHandle>(m_Data.m_Inputs[0])->GetTensor();
-    arm_compute::ICLTensor& output =
-        boost::polymorphic_pointer_downcast<IClTensorHandle>(m_Data.m_Outputs[0])->GetTensor();
-
-    // ArmNN blockShape is [H, W] Cl asks for W, H
-    int32_t blockHeight = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[0]);
-    int32_t blockWidth  = boost::numeric_cast<int32_t>(m_Data.m_Parameters.m_BlockShape[1]);
-
-    arm_compute::Size2D paddingLeftTop = BuildArmComputeSize2D(
-        m_Data.m_Parameters.m_PadList[1].first, m_Data.m_Parameters.m_PadList[0].first);
-    arm_compute::Size2D paddingRightBottom  = BuildArmComputeSize2D(
-        m_Data.m_Parameters.m_PadList[1].second, m_Data.m_Parameters.m_PadList[0].second);
-
-    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
-    input.info()->set_data_layout(aclDataLayout);
-    output.info()->set_data_layout(aclDataLayout);
-
-    m_SpaceToBatchLayer.configure(&input,
-                                  blockWidth,
-                                  blockHeight,
-                                  paddingLeftTop,
-                                  paddingRightBottom,
-                                  &output);
-}
-
-void ClSpaceToBatchNdWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClSpaceToBatchNdWorkload_Execute");
-    RunClFunction(m_SpaceToBatchLayer, CHECK_LOCATION());
-}
-
-} //namespace armnn