From c577f2c6a3b4ddb6ba87a882723c53a248afbeba Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 31 Aug 2018 09:22:23 +0100
Subject: Release 18.08

---
 .../ClWorkloads/ClDepthwiseConvolutionHelper.hpp   | 91 ----------------------
 1 file changed, 91 deletions(-)
 delete mode 100644 src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp

(limited to 'src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp')

diff --git a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp b/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp
deleted file mode 100644
index cd7115773d..0000000000
--- a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp
+++ /dev/null
@@ -1,91 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// See LICENSE file in the project root for full license information.
-//
-
-#pragma once
-
-#include <armnn/TypesUtils.hpp>
-#include "backends/ClLayerSupport.hpp"
-#include "backends/ArmComputeTensorUtils.hpp"
-#include "backends/ClTensorHandle.hpp"
-
-namespace armnn
-{
-
-template <typename WorkloadType>
-void InitClDepthwiseConvolutionWorkload(WorkloadType& workload)
-{
-    using T = typename WorkloadType::KernelDataType;
-    using B = typename WorkloadType::BiasDataType;
-
-    auto& m_Data = workload.GetData();
-    auto& m_KernelTensor = workload.m_KernelTensor;
-    auto& m_BiasTensor = workload.m_BiasTensor;
-    auto& m_pDepthwiseConvolutionLayer = workload.m_pDepthwiseConvolutionLayer;
-
-    auto& weightInfo = m_Data.m_Weight->GetTensorInfo();
-
-    std::string reasonIfUnsupported;
-    if (!IsClDepthwiseConvolution2dDescParamsSupported(&reasonIfUnsupported, m_Data.m_Parameters, weightInfo))
-    {
-        throw UnimplementedException(reasonIfUnsupported);
-    }
-
-    armcomputetensorutils::BuildArmComputeTensor(m_KernelTensor, weightInfo);
-
-    arm_compute::CLTensor* optionalBias = nullptr;
-    if (m_Data.m_Parameters.m_BiasEnabled)
-    {
-        armcomputetensorutils::BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
-        optionalBias = &m_BiasTensor;
-    }
-
-    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);
-
-    std::string name = std::string("ClDepthwiseConvolution") + GetDataTypeName(GetDataType<T>()) + "Workload";
-    m_Data.ValidateInputsOutputs(name, 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();
-
-    //Check for optimisation opportunities.
-    bool use3x3Optimisation = (weightInfo.GetShape()[3] == 3) && (weightInfo.GetShape()[2] == 3);
-    if (use3x3Optimisation)
-    {
-        m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>();
-        static_cast<arm_compute::CLDepthwiseConvolutionLayer3x3*>(m_pDepthwiseConvolutionLayer.get())->configure(
-            &input,
-            &m_KernelTensor,
-            optionalBias,
-            &output,
-            padStrideInfo);
-    }
-    else
-    {
-        m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer>();
-        static_cast<arm_compute::CLDepthwiseConvolutionLayer*>(m_pDepthwiseConvolutionLayer.get())->configure(
-            &input,
-            &m_KernelTensor,
-            optionalBias,
-            &output,
-            padStrideInfo);
-    }
-
-    BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
-
-    InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->template GetConstTensor<T>());
-
-    if (optionalBias)
-    {
-        InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->template GetConstTensor<B>());
-    }
-}
-
-} //namespace armnn
\ No newline at end of file
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