Creating gh-pages documentation for ArmNN

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

1 files changed, 0 insertions, 102 deletions

diff --git a/src/backends/cl/workloads/ClConcatWorkload.cpp b/src/backends/cl/workloads/ClConcatWorkload.cpp
deleted file mode 100644
index 5370466163..0000000000
--- a/src/backends/cl/workloads/ClConcatWorkload.cpp
+++ /dev/null
@@ -1,102 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "ClConcatWorkload.hpp"
-#include "ClWorkloadUtils.hpp"
-#include <aclCommon/ArmComputeTensorUtils.hpp>
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <cl/ClTensorHandle.hpp>
-#include <cl/ClLayerSupport.hpp>
-
-#include <arm_compute/core/Types.h>
-#include <arm_compute/runtime/CL/functions/CLConcatenateLayer.h>
-
-#include <boost/polymorphic_pointer_cast.hpp>
-
-namespace armnn
-{
-using namespace armcomputetensorutils;
-
-namespace
-{
-size_t CalcAxis(const OriginsDescriptor& desc)
-{
-    return (desc.GetNumDimensions() - desc.GetConcatAxis()) - 1;
-}
-} //namespace
-
-arm_compute::Status ClConcatWorkloadValidate(const std::vector<const TensorInfo*>& inputs,
-                                             const TensorInfo& output,
-                                             const OriginsDescriptor& descriptor)
-{
-    std::vector<arm_compute::TensorInfo> aclInputs;
-    for (const TensorInfo* input : inputs)
-    {
-        arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, armnn::DataLayout::NCHW);
-        aclInputs.emplace_back(aclInputInfo);
-    }
-    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
-    std::vector<arm_compute::ITensorInfo*> aclInputPtrs;
-    for (arm_compute::ITensorInfo& input : aclInputs)
-    {
-        aclInputPtrs.emplace_back(&input);
-    }
-
-    size_t aclAxis = CalcAxis(descriptor);
-    return arm_compute::CLConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis);
-}
-
-ClConcatWorkload::ClConcatWorkload(const ConcatQueueDescriptor& descriptor, const WorkloadInfo& info)
-: BaseWorkload<ConcatQueueDescriptor>(descriptor, info)
-{
-    bool allInputsAreSubtensors = true;
-
-    // Check that all inputs are sub-tensors
-    for (auto input : descriptor.m_Inputs)
-    {
-        if (!input->GetParent())
-        {
-            // Non sub-tensor input found so we need to execute the concat function
-            allInputsAreSubtensors = false;
-            break;
-        }
-    }
-
-    if (allInputsAreSubtensors)
-    {
-        // Can skip configuring the concat function since it's not executed
-        return;
-    }
-
-    std::vector<arm_compute::ICLTensor *> aclInputs;
-    for (auto input : m_Data.m_Inputs)
-    {
-        arm_compute::ICLTensor& aclInput  = boost::polymorphic_pointer_downcast<IClTensorHandle>(input)->GetTensor();
-        aclInputs.emplace_back(&aclInput);
-    }
-    arm_compute::ICLTensor& output = boost::polymorphic_pointer_downcast<IClTensorHandle>(
-                                                                         m_Data.m_Outputs[0])->GetTensor();
-
-    // Create the layer function
-    auto layer = std::make_unique<arm_compute::CLConcatenateLayer>();
-
-    // Configure input and output tensors
-    size_t aclAxis = CalcAxis(descriptor.m_Parameters);
-    layer->configure(aclInputs, &output, aclAxis);
-
-    // Prepare
-    layer->prepare();
-    m_Layer = std::move(layer);
-}
-
-void ClConcatWorkload::Execute() const
-{
-    if (m_Layer)
-    {
-        ARMNN_SCOPED_PROFILING_EVENT_CL("ClConcatWorkload_Execute");
-        m_Layer->run();
-    }
-}
-
-} //namespace armnn