From 9b3983299f882c8d84c5abd0d40ca75a801ea7f2 Mon Sep 17 00:00:00 2001
From: Mike Kelly <mike.kelly@arm.com>
Date: Wed, 22 May 2019 17:21:49 +0100
Subject: IVGCVSW-3025: Refactor reference Convolution2d workload

 * Refactored RefConvolution2dWorkload to support all DataTypes through Encoders and Decoders.
 * Added Convolute function to ConvImpl that uses Encoders and Decoders to support all DataTypes.
 * Deleted RefConvolution2dFloat32Workload and RefConvolution2dUint8Workload.

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic5ef0f499d08b948fa65fdee54b5f681fd0b1c05
---
 .../workloads/RefConvolution2dFloat32Workload.cpp  | 35 ----------------------
 1 file changed, 35 deletions(-)
 delete mode 100644 src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp

(limited to 'src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp')

diff --git a/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp b/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp
deleted file mode 100644
index 7b298df967..0000000000
--- a/src/backends/reference/workloads/RefConvolution2dFloat32Workload.cpp
+++ /dev/null
@@ -1,35 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefConvolution2dFloat32Workload.hpp"
-
-#include "ConvImpl.hpp"
-#include "RefWorkloadUtils.hpp"
-
-#include "Profiling.hpp"
-
-namespace armnn
-{
-RefConvolution2dFloat32Workload::RefConvolution2dFloat32Workload(
-    const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
-        : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info),
-          m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))),
-          m_Bias(descriptor.m_Parameters.m_BiasEnabled
-                 ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {}
-
-void RefConvolution2dFloat32Workload::Execute() const
-{
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dFloat32Workload_Execute");
-
-    const float* inputData  = GetInputTensorDataFloat(0, m_Data);
-    const float* filterData = m_Weight->template GetConstTensor<float>();
-    const float* biasData   = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->template GetConstTensor<float>() : nullptr;
-    const TensorInfo& filterInfo = m_Weight->GetTensorInfo();
-
-    ConvImpl<armnn::Convolution2dQueueDescriptor, float, float, float>(
-        m_Data, inputData, 0.0f, 0, filterData, 0.0f, 0, biasData, 0.0f, 0, filterInfo);
-}
-
-} //namespace armnn
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