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-rw-r--r--src/armnnUtils/DataLayoutIndexed.cpp37
1 files changed, 0 insertions, 37 deletions
diff --git a/src/armnnUtils/DataLayoutIndexed.cpp b/src/armnnUtils/DataLayoutIndexed.cpp
index b02f07ec85..02f1e816ac 100644
--- a/src/armnnUtils/DataLayoutIndexed.cpp
+++ b/src/armnnUtils/DataLayoutIndexed.cpp
@@ -4,9 +4,6 @@
//
#include "DataLayoutIndexed.hpp"
-
-#include <boost/assert.hpp>
-
using namespace armnn;
namespace armnnUtils
@@ -33,40 +30,6 @@ DataLayoutIndexed::DataLayoutIndexed(armnn::DataLayout dataLayout)
}
}
-unsigned int DataLayoutIndexed::GetIndex(const 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 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 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;
-}
-
bool operator==(const DataLayout& dataLayout, const DataLayoutIndexed& indexed)
{
return dataLayout == indexed.GetDataLayout();