Creating gh-pages documentation for ArmNN

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

1 files changed, 0 insertions, 112 deletions

diff --git a/src/backends/neon/workloads/NeonDetectionPostProcessWorkload.cpp b/src/backends/neon/workloads/NeonDetectionPostProcessWorkload.cpp
deleted file mode 100644
index 2ed47e4463..0000000000
--- a/src/backends/neon/workloads/NeonDetectionPostProcessWorkload.cpp
+++ /dev/null
@@ -1,112 +0,0 @@
-//
-// Copyright © 2019 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "NeonDetectionPostProcessWorkload.hpp"
-
-#include "NeonWorkloadUtils.hpp"
-
-#include <aclCommon/ArmComputeTensorHandle.hpp>
-#include <aclCommon/ArmComputeTensorUtils.hpp>
-
-#include <boost/cast.hpp>
-
-namespace armnn
-{
-
-arm_compute::DetectionPostProcessLayerInfo MakeInfo(const DetectionPostProcessDescriptor& desc)
-{
-    return arm_compute::DetectionPostProcessLayerInfo(desc.m_MaxDetections,
-                                                      desc.m_MaxClassesPerDetection,
-                                                      desc.m_NmsScoreThreshold,
-                                                      desc.m_NmsIouThreshold,
-                                                      desc.m_NumClasses,
-                                                      { desc.m_ScaleX,
-                                                        desc.m_ScaleY,
-                                                        desc.m_ScaleW,
-                                                        desc.m_ScaleH },
-                                                      desc.m_UseRegularNms,
-                                                      desc.m_DetectionsPerClass);
-}
-
-arm_compute::Status NeonDetectionPostProcessValidate(const TensorInfo& boxEncodings,
-                                                     const TensorInfo& scores,
-                                                     const TensorInfo& anchors,
-                                                     const TensorInfo& detectionBoxes,
-                                                     const TensorInfo& detectionClasses,
-                                                     const TensorInfo& detectionScores,
-                                                     const TensorInfo& numDetections,
-                                                     const DetectionPostProcessDescriptor &desc)
-{
-    arm_compute::DetectionPostProcessLayerInfo info = MakeInfo(desc);
-
-    const arm_compute::TensorInfo aclBoxEncodings =
-        armcomputetensorutils::BuildArmComputeTensorInfo(boxEncodings);
-
-    const arm_compute::TensorInfo aclScores =
-        armcomputetensorutils::BuildArmComputeTensorInfo(scores);
-
-    const arm_compute::TensorInfo aclAnchors =
-        armcomputetensorutils::BuildArmComputeTensorInfo(anchors);
-
-    arm_compute::TensorInfo aclDetectionBoxes =
-        armcomputetensorutils::BuildArmComputeTensorInfo(detectionBoxes);
-
-    arm_compute::TensorInfo aclDetectionClasses =
-        armcomputetensorutils::BuildArmComputeTensorInfo(detectionClasses);
-
-    arm_compute::TensorInfo aclDetectionScores =
-        armcomputetensorutils::BuildArmComputeTensorInfo(detectionScores);
-
-    arm_compute::TensorInfo aclNumDetections =
-        armcomputetensorutils::BuildArmComputeTensorInfo(numDetections);
-
-    return arm_compute::NEDetectionPostProcessLayer::validate(
-            &aclBoxEncodings,
-            &aclScores,
-            &aclAnchors,
-            &aclDetectionBoxes,
-            &aclDetectionClasses,
-            &aclDetectionScores,
-            &aclNumDetections,
-            info);
-}
-
-NeonDetectionPostProcessWorkload::NeonDetectionPostProcessWorkload(
-    const DetectionPostProcessQueueDescriptor& descriptor,
-    const WorkloadInfo& info)
-    : BaseWorkload<DetectionPostProcessQueueDescriptor>(descriptor, info)
-{
-    m_Anchors = std::make_unique<arm_compute::Tensor>();
-    BuildArmComputeTensor(*m_Anchors, descriptor.m_Anchors->GetTensorInfo());
-
-    arm_compute::DetectionPostProcessLayerInfo di = MakeInfo(m_Data.m_Parameters);
-
-    auto AclTensorRef = [](ITensorHandle* tensor) -> arm_compute::ITensor&
-        {
-            return boost::polymorphic_downcast<IAclTensorHandle*>(tensor)->GetTensor();
-        };
-
-    arm_compute::ITensor& boxEncodings  = AclTensorRef(m_Data.m_Inputs[0]);
-    arm_compute::ITensor& scores        = AclTensorRef(m_Data.m_Inputs[1]);
-
-    arm_compute::ITensor& detectionBoxes    = AclTensorRef(m_Data.m_Outputs[0]);
-    arm_compute::ITensor& detectionClasses  = AclTensorRef(m_Data.m_Outputs[1]);
-    arm_compute::ITensor& detectionScores   = AclTensorRef(m_Data.m_Outputs[2]);
-    arm_compute::ITensor& numDetections     = AclTensorRef(m_Data.m_Outputs[3]);
-
-    m_Func.configure(&boxEncodings, &scores, m_Anchors.get(),
-                     &detectionBoxes, &detectionClasses, &detectionScores, &numDetections,
-                     di);
-
-    InitializeArmComputeTensorData(*m_Anchors, m_Data.m_Anchors);
-}
-
-void NeonDetectionPostProcessWorkload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDetectionPostProcessWorkload_Execute");
-    m_Func.run();
-}
-
-} // namespace armnn