1 files changed, 0 insertions, 72 deletions
diff --git a/include/armnnUtils/DataLayoutIndexed.hpp b/include/armnnUtils/DataLayoutIndexed.hpp
deleted file mode 100644
index 03404bda5d..0000000000
--- a/include/armnnUtils/DataLayoutIndexed.hpp
+++ /dev/null
@@ -1,72 +0,0 @@
-//
-// Copyright © 2019 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <armnn/Types.hpp>
-#include <armnn/Tensor.hpp>
-
-#include <boost/assert.hpp>
-
-namespace armnnUtils
-{
-
-// Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout
-class DataLayoutIndexed
-{
-public:
-    DataLayoutIndexed(armnn::DataLayout dataLayout);
-
-    armnn::DataLayout GetDataLayout()    const { return m_DataLayout; }
-    unsigned int      GetChannelsIndex() const { return m_ChannelsIndex; }
-    unsigned int      GetHeightIndex()   const { return m_HeightIndex; }
-    unsigned int      GetWidthIndex()    const { return m_WidthIndex; }
-
-    inline unsigned int GetIndex(const armnn::TensorShape& shape,
-                                 unsigned int batchIndex, unsigned int channelIndex,
-                                 unsigned int heightIndex, unsigned int widthIndex) const
-    {
-        BOOST_ASSERT( batchIndex < shape[0] || ( shape[0] == 0 && batchIndex == 0 ) );
-        BOOST_ASSERT( channelIndex < shape[m_ChannelsIndex] ||
-                    ( shape[m_ChannelsIndex] == 0 && channelIndex == 0) );
-        BOOST_ASSERT( heightIndex < shape[m_HeightIndex] ||
-                    ( shape[m_HeightIndex] == 0 && heightIndex == 0) );
-        BOOST_ASSERT( widthIndex < shape[m_WidthIndex] ||
-                    ( shape[m_WidthIndex] == 0 && widthIndex == 0) );
-
-        // Offset the given indices appropriately depending on the data layout
-        switch (m_DataLayout)
-        {
-        case armnn::DataLayout::NHWC:
-            batchIndex  *= shape[1] * shape[2] * shape[3]; // batchIndex *= heightIndex * widthIndex * channelIndex
-            heightIndex *= shape[m_WidthIndex] * shape[m_ChannelsIndex];
-            widthIndex  *= shape[m_ChannelsIndex];
-            // channelIndex stays unchanged
-            break;
-        case armnn::DataLayout::NCHW:
-        default:
-            batchIndex   *= shape[1] * shape[2] * shape[3]; // batchIndex *= heightIndex * widthIndex * channelIndex
-            channelIndex *= shape[m_HeightIndex] * shape[m_WidthIndex];
-            heightIndex  *= shape[m_WidthIndex];
-            // widthIndex stays unchanged
-            break;
-        }
-
-        // Get the value using the correct offset
-        return batchIndex + channelIndex + heightIndex + widthIndex;
-    }
-
-private:
-    armnn::DataLayout m_DataLayout;
-    unsigned int      m_ChannelsIndex;
-    unsigned int      m_HeightIndex;
-    unsigned int      m_WidthIndex;
-};
-
-// Equality methods
-bool operator==(const armnn::DataLayout& dataLayout, const DataLayoutIndexed& indexed);
-bool operator==(const DataLayoutIndexed& indexed, const armnn::DataLayout& dataLayout);
-
-} // namespace armnnUtils