1 files changed, 0 insertions, 61 deletions
diff --git a/src/armnn/NetworkQuantizer.hpp b/src/armnn/NetworkQuantizer.hpp
deleted file mode 100644
index a07ac8827e..0000000000
--- a/src/armnn/NetworkQuantizer.hpp
+++ /dev/null
@@ -1,61 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <armnn/INetwork.hpp>
-#include <armnnQuantizer/INetworkQuantizer.hpp>
-#include <armnn/IRuntime.hpp>
-#include <armnn/Types.hpp>
-#include <armnn/Optional.hpp>
-
-#include "DynamicQuantizationStrategy.hpp"
-#include "RangeTracker.hpp"
-
-namespace armnn
-{
-
-class NetworkQuantizer : public INetworkQuantizer
-{
-public:
-    NetworkQuantizer(INetwork* inputNetwork, const QuantizerOptions& options)
-    : m_InputNetwork(inputNetwork),
-      m_NetworkId(0),
-      m_Runtime(nullptr, &IRuntime::Destroy),
-      m_RefineCount(0),
-      m_Options(options) {}
-
-    void OverrideInputRange(LayerBindingId layerId, float min, float max) override;
-    void Refine(const InputTensors& inputTensors) override;
-
-    // Required for testing? Need some way to get min/max in RangeTracker (m_Ranges)
-    std::pair<float, float> GetMinMaxRange(LayerGuid guid, unsigned int idx) { return m_Ranges.GetRange(guid, idx); }
-    INetworkPtr ExportNetwork() override;
-
-private:
-    /// Original input network to quantize
-    INetwork* m_InputNetwork;
-
-    NetworkId m_NetworkId;
-
-    // if we are run in dynamic mode this unique pointer will hold
-    // the runtime between invocations of the Refine method.
-    IRuntimePtr m_Runtime;
-
-    Optional<DynamicQuantizationStrategy> m_DynamicQuantizationStrategy;
-
-    // counts the number of times refine is called
-    unsigned int m_RefineCount;
-
-    /// Mapping from Guid to an array of ranges for outputs
-    RangeTracker m_Ranges;
-
-    /// Options for the NetworkQuantizer
-    QuantizerOptions m_Options;
-
-    std::pair<float, float> FindMinMax(ITensorHandle* tensorHandle);
-};
-
-} //namespace armnn