1 files changed, 0 insertions, 113 deletions
diff --git a/src/backends/reference/workloads/Encoders.hpp b/src/backends/reference/workloads/Encoders.hpp
deleted file mode 100644
index f52297602f..0000000000
--- a/src/backends/reference/workloads/Encoders.hpp
+++ /dev/null
@@ -1,113 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "BaseIterator.hpp"
-
-#include <armnnUtils/TensorUtils.hpp>
-
-#include <boost/assert.hpp>
-
-namespace armnn
-{
-
-template<typename T>
-inline std::unique_ptr<Encoder<T>> MakeEncoder(const TensorInfo& info, void* data = nullptr);
-
-template<>
-inline std::unique_ptr<Encoder<float>> MakeEncoder(const TensorInfo& info, void* data)
-{
-    switch(info.GetDataType())
-    {
-        ARMNN_NO_DEPRECATE_WARN_BEGIN
-        case armnn::DataType::QuantizedSymm8PerAxis:
-        {
-            std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info);
-            return std::make_unique<QSymm8PerAxisEncoder>(
-                static_cast<int8_t*>(data),
-                params.second,
-                params.first);
-        }
-        ARMNN_NO_DEPRECATE_WARN_END
-        case armnn::DataType::QAsymmS8:
-        {
-            return std::make_unique<QASymmS8Encoder>(
-                static_cast<int8_t*>(data),
-                info.GetQuantizationScale(),
-                info.GetQuantizationOffset());
-        }
-        case armnn::DataType::QAsymmU8:
-        {
-            return std::make_unique<QASymm8Encoder>(
-                static_cast<uint8_t*>(data),
-                info.GetQuantizationScale(),
-                info.GetQuantizationOffset());
-        }
-        case DataType::QSymmS8:
-        {
-            if (info.HasPerAxisQuantization())
-            {
-                std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info);
-                return std::make_unique<QSymm8PerAxisEncoder>(
-                        static_cast<int8_t*>(data),
-                        params.second,
-                        params.first);
-            }
-            else
-            {
-                return std::make_unique<QSymmS8Encoder>(
-                        static_cast<int8_t*>(data),
-                        info.GetQuantizationScale(),
-                        info.GetQuantizationOffset());
-            }
-        }
-        case armnn::DataType::QSymmS16:
-        {
-            return std::make_unique<QSymm16Encoder>(
-                static_cast<int16_t*>(data),
-                info.GetQuantizationScale(),
-                info.GetQuantizationOffset());
-        }
-        case armnn::DataType::Signed32:
-        {
-            return std::make_unique<Int32Encoder>(static_cast<int32_t*>(data));
-        }
-        case armnn::DataType::Float16:
-        {
-            return std::make_unique<Float16Encoder>(static_cast<Half*>(data));
-        }
-        case armnn::DataType::Float32:
-        {
-            return std::make_unique<Float32Encoder>(static_cast<float*>(data));
-        }
-        default:
-        {
-            BOOST_ASSERT_MSG(false, "Unsupported target Data Type!");
-            break;
-        }
-    }
-    return nullptr;
-}
-
-template<>
-inline std::unique_ptr<Encoder<bool>> MakeEncoder(const TensorInfo& info, void* data)
-{
-    switch(info.GetDataType())
-    {
-        case armnn::DataType::Boolean:
-        {
-            return std::make_unique<BooleanEncoder>(static_cast<uint8_t*>(data));
-        }
-        default:
-        {
-            BOOST_ASSERT_MSG(false, "Cannot encode from boolean. Not supported target Data Type!");
-            break;
-        }
-    }
-    return nullptr;
-}
-
-} //namespace armnn