1 files changed, 0 insertions, 157 deletions
diff --git a/src/armnn/NetworkQuantizationScheme.hpp b/src/armnn/NetworkQuantizationScheme.hpp
deleted file mode 100644
index a78fd725b4..0000000000
--- a/src/armnn/NetworkQuantizationScheme.hpp
+++ /dev/null
@@ -1,157 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <armnn/Types.hpp>
-
-#include <cmath>
-#include <algorithm>
-
-namespace armnn
-{
-
-using OffsetScalePair = std::pair<float, int>;
-
-struct IQuantizationScheme
-{
-    virtual OffsetScalePair ComputeScheme(double min, double max) const = 0;
-
-    virtual int NumBits() const = 0;
-
-    virtual DataType GetDataType() const = 0;
-
-    virtual ~IQuantizationScheme() {}
-};
-
-struct QAsymmU8QuantizationScheme : IQuantizationScheme
-{
-    OffsetScalePair ComputeScheme(double min, double max) const override
-    {
-        if (min > max)
-        {
-            throw InvalidArgumentException("min > max will result in invalid quantization.");
-        }
-
-        double highest = (1 << NumBits()) - 1;
-
-        min = std::min(0.0, min); // min <= 0.0
-        max = std::max(0.0, max); // max >= 0.0
-
-        // To avoid dividing by zero when quantizing a zero filled tensor
-        if (min == 0.0 && max == 0.0)
-        {
-            max = 1.0;
-        }
-
-        // Assumes quantization range [0-highest]
-        double scale = (max-min) / highest;
-        double offset = -min / scale;
-
-        // Clamp offset [0-highest]
-        offset = std::max(0.0, std::min(highest, offset));
-
-        return std::make_pair(static_cast<float>(scale), static_cast<int>(std::round(offset)));
-    }
-
-    int NumBits() const override { return 8; }
-
-    DataType GetDataType() const override { return DataType::QAsymmU8; }
-};
-
-struct QAsymmS8QuantizationScheme : IQuantizationScheme
-{
-    OffsetScalePair ComputeScheme(double min, double max) const override
-    {
-        if (min > max)
-        {
-            throw InvalidArgumentException("min > max will result in invalid quantization.");
-        }
-
-        double highest = (1 << NumBits()) - 1;
-
-        min = std::min(0.0, min); // min <= 0.0
-        max = std::max(0.0, max); // max >= 0.0
-
-        // To avoid dividing by zero when quantizing a zero filled tensor
-        if (min == 0.0 && max == 0.0)
-        {
-            max = 1.0;
-        }
-
-        // Assumes quantization range [0-255]
-        double scale = (max-min) / highest ;
-        double offset = - min / scale;
-
-        //Clamp 0 to Highest
-        offset = std::max(0.0, std::min(highest, offset));
-
-        //-128 on offset to cast to signed range
-        return std::make_pair(static_cast<float>(scale), static_cast<int>(std::round(offset)-128));
-    }
-
-    int NumBits() const override { return 8; }
-
-    DataType GetDataType() const override { return DataType::QAsymmS8; }
-};
-
-struct QSymmS8QuantizationScheme : IQuantizationScheme
-{
-    OffsetScalePair ComputeScheme(double min, double max) const override
-    {
-        if (min > max)
-        {
-            throw InvalidArgumentException("min > max will result in invalid quantization.");
-        }
-
-        // To avoid dividing by zero when quantizing a zero filled tensor
-        if (min == 0.0 && max == 0.0)
-        {
-            max = 1.0;
-        }
-
-        double highest = (1 << (NumBits()-1)) - 1; // (numbits-1) accounts for the sign bit
-
-        double extent = std::max(std::abs(min), std::abs(max));
-        double scale = extent / highest;
-
-        return std::make_pair(static_cast<float>(scale), 0);
-    }
-
-    int NumBits() const override { return 8; }
-
-    DataType GetDataType() const override { return DataType::QSymmS8; }
-};
-
-struct QSymm16QuantizationScheme : IQuantizationScheme
-{
-    OffsetScalePair ComputeScheme(double min, double max) const override
-    {
-        if (min > max)
-        {
-            throw InvalidArgumentException("min > max will result in invalid quantization.");
-        }
-
-        // To avoid dividing by zero when quantizing a zero filled tensor
-        if (min == 0.0 && max == 0.0)
-        {
-            max = 1.0;
-        }
-
-        double highest = (1 << (NumBits()-1)) - 1; // (numbits-1) accounts for the sign bit
-
-        double extent = std::max(std::abs(min), std::abs(max));
-        double scale = extent / highest;
-
-        return std::make_pair(static_cast<float>(scale), 0);
-
-    }
-
-    int NumBits() const override { return 16; }
-
-    DataType GetDataType() const override { return DataType::QSymmS16; }
-};
-
-} // namespace armnn