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75 lines
2.8 KiB
C++
75 lines
2.8 KiB
C++
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//
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// Copyright © 2019 Arm Ltd. All rights reserved.
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// SPDX-License-Identifier: MIT
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//
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#pragma once
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#include <armnn/Types.hpp>
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#include <armnn/Tensor.hpp>
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#include <armnn/utility/Assert.hpp>
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namespace armnnUtils
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{
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/// Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout
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class DataLayoutIndexed
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{
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public:
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DataLayoutIndexed(armnn::DataLayout dataLayout);
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armnn::DataLayout GetDataLayout() const { return m_DataLayout; }
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unsigned int GetChannelsIndex() const { return m_ChannelsIndex; }
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unsigned int GetHeightIndex() const { return m_HeightIndex; }
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unsigned int GetWidthIndex() const { return m_WidthIndex; }
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unsigned int GetDepthIndex() const { return m_DepthIndex; }
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inline unsigned int GetIndex(const armnn::TensorShape& shape,
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unsigned int batchIndex, unsigned int channelIndex,
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unsigned int heightIndex, unsigned int widthIndex) const
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{
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ARMNN_ASSERT( batchIndex < shape[0] || ( shape[0] == 0 && batchIndex == 0 ) );
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ARMNN_ASSERT( channelIndex < shape[m_ChannelsIndex] ||
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( shape[m_ChannelsIndex] == 0 && channelIndex == 0) );
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ARMNN_ASSERT( heightIndex < shape[m_HeightIndex] ||
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( shape[m_HeightIndex] == 0 && heightIndex == 0) );
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ARMNN_ASSERT( widthIndex < shape[m_WidthIndex] ||
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( shape[m_WidthIndex] == 0 && widthIndex == 0) );
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/// Offset the given indices appropriately depending on the data layout
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switch (m_DataLayout)
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{
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case armnn::DataLayout::NHWC:
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batchIndex *= shape[1] * shape[2] * shape[3]; // batchIndex *= heightIndex * widthIndex * channelIndex
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heightIndex *= shape[m_WidthIndex] * shape[m_ChannelsIndex];
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widthIndex *= shape[m_ChannelsIndex];
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/// channelIndex stays unchanged
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break;
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case armnn::DataLayout::NCHW:
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default:
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batchIndex *= shape[1] * shape[2] * shape[3]; // batchIndex *= heightIndex * widthIndex * channelIndex
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channelIndex *= shape[m_HeightIndex] * shape[m_WidthIndex];
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heightIndex *= shape[m_WidthIndex];
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/// widthIndex stays unchanged
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break;
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}
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/// Get the value using the correct offset
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return batchIndex + channelIndex + heightIndex + widthIndex;
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}
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private:
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armnn::DataLayout m_DataLayout;
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unsigned int m_ChannelsIndex;
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unsigned int m_HeightIndex;
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unsigned int m_WidthIndex;
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unsigned int m_DepthIndex;
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};
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/// Equality methods
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bool operator==(const armnn::DataLayout& dataLayout, const DataLayoutIndexed& indexed);
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bool operator==(const DataLayoutIndexed& indexed, const armnn::DataLayout& dataLayout);
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} // namespace armnnUtils
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