1 files changed, 0 insertions, 125 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionBaseWorkload.cpp b/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionBaseWorkload.cpp
deleted file mode 100644
index 0e89a68118..0000000000
--- a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionBaseWorkload.cpp
+++ /dev/null
@@ -1,125 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "ClDepthwiseConvolutionBaseWorkload.hpp"
-
-#include "TypeUtils.hpp"
-
-#include "backends/ArmComputeUtils.hpp"
-#include "backends/ArmComputeTensorUtils.hpp"
-#include "backends/ClTensorHandle.hpp"
-#include "backends/CpuTensorHandle.hpp"
-
-namespace armnn
-{
-
-using namespace armcomputetensorutils;
-
-arm_compute::Status ClDepthwiseConvolutionWorkloadValidate(const TensorInfo& input,
-    const TensorInfo& output,
-    const DepthwiseConvolution2dDescriptor& descriptor,
-    const TensorInfo& weights,
-    const boost::optional<TensorInfo>& biases)
-{
-    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
-    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
-    const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights);
-
-    arm_compute::TensorInfo aclBiasesInfo;
-    arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr;
-
-    if (descriptor.m_BiasEnabled)
-    {
-        BOOST_ASSERT(biases.is_initialized());
-
-        aclBiasesInfo = BuildArmComputeTensorInfo(biases.get());
-        optionalAclBiasesInfo = &aclBiasesInfo;
-    }
-
-    const arm_compute::PadStrideInfo aclPadStrideInfo = BuildArmComputePadStrideInfo(descriptor);
-    const unsigned int aclDepthMultiplier = weights.GetShape()[0];
-
-    return arm_compute::CLDepthwiseConvolutionLayer::validate(&aclInputInfo,
-                                                              &aclWeightsInfo,
-                                                              optionalAclBiasesInfo,
-                                                              &aclOutputInfo,
-                                                              aclPadStrideInfo,
-                                                              aclDepthMultiplier);
-}
-
-template<armnn::DataType... dataTypes>
-ClDepthwiseConvolutionBaseWorkload<dataTypes...>::ClDepthwiseConvolutionBaseWorkload(
-    const DepthwiseConvolution2dQueueDescriptor& descriptor,
-    const WorkloadInfo& info)
-    : TypedWorkload<DepthwiseConvolution2dQueueDescriptor, dataTypes...>(descriptor, info)
-{
-    auto& weightInfo = m_Data.m_Weight->GetTensorInfo();
-
-    m_KernelTensor = std::make_unique<arm_compute::CLTensor>();
-    BuildArmComputeTensor(*m_KernelTensor, weightInfo);
-
-    if (m_Data.m_Parameters.m_BiasEnabled)
-    {
-        m_BiasTensor = std::make_unique<arm_compute::CLTensor>();
-        BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
-    }
-
-    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(m_Data.m_Weight->GetTensorInfo().GetDataType()) + "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();
-
-    const unsigned int depthMultiplier = weightInfo.GetShape()[0];
-
-    //Check for optimisation opportunities.
-    bool use3x3Optimisation = (weightInfo.GetShape()[3] == 3) && (weightInfo.GetShape()[2] == 3);
-    if (use3x3Optimisation)
-    {
-        m_DepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>();
-        static_cast<arm_compute::CLDepthwiseConvolutionLayer3x3*>(m_DepthwiseConvolutionLayer.get())->configure(
-            &input,
-            m_KernelTensor.get(),
-            m_BiasTensor.get(),
-            &output,
-            padStrideInfo,
-            depthMultiplier);
-    }
-    else
-    {
-        m_DepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer>();
-        static_cast<arm_compute::CLDepthwiseConvolutionLayer*>(m_DepthwiseConvolutionLayer.get())->configure(
-            &input,
-            m_KernelTensor.get(),
-            m_BiasTensor.get(),
-            &output,
-            padStrideInfo,
-            depthMultiplier);
-    }
-
-    BOOST_ASSERT(m_DepthwiseConvolutionLayer);
-}
-
-template<armnn::DataType... dataTypes>
-void ClDepthwiseConvolutionBaseWorkload<dataTypes...>::FreeUnusedTensors()
-{
-    FreeTensorIfUnused(m_KernelTensor);
-    FreeTensorIfUnused(m_BiasTensor);
-}
-
-// Generate known implementations for linker
-template class ClDepthwiseConvolutionBaseWorkload<DataType::Float16, DataType::Float32>;
-template class ClDepthwiseConvolutionBaseWorkload<DataType::QuantisedAsymm8>;
-
-} // namespace armnn