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Diffstat (limited to 'include/armnnUtils/DataLayoutIndexed.hpp')
-rw-r--r-- | include/armnnUtils/DataLayoutIndexed.hpp | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/include/armnnUtils/DataLayoutIndexed.hpp b/include/armnnUtils/DataLayoutIndexed.hpp new file mode 100644 index 0000000000..03404bda5d --- /dev/null +++ b/include/armnnUtils/DataLayoutIndexed.hpp @@ -0,0 +1,72 @@ +// +// 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 |