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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TensorUtils.hpp"
namespace armnnUtils
{
armnn::TensorShape GetTensorShape(unsigned int numberOfBatches,
unsigned int numberOfChannels,
unsigned int height,
unsigned int width,
const armnn::DataLayout dataLayout)
{
switch (dataLayout)
{
case armnn::DataLayout::NCHW:
return armnn::TensorShape({numberOfBatches, numberOfChannels, height, width});
case armnn::DataLayout::NHWC:
return armnn::TensorShape({numberOfBatches, height, width, numberOfChannels});
default:
throw armnn::InvalidArgumentException("Unknown data layout ["
+ std::to_string(static_cast<int>(dataLayout)) +
"]", CHECK_LOCATION());
}
}
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches,
unsigned int numberOfChannels,
unsigned int height,
unsigned int width,
const armnn::DataLayout dataLayout,
const armnn::DataType dataType)
{
switch (dataLayout)
{
case armnn::DataLayout::NCHW:
return armnn::TensorInfo({numberOfBatches, numberOfChannels, height, width}, dataType);
case armnn::DataLayout::NHWC:
return armnn::TensorInfo({numberOfBatches, height, width, numberOfChannels}, dataType);
default:
throw armnn::InvalidArgumentException("Unknown data layout ["
+ std::to_string(static_cast<int>(dataLayout)) +
"]", CHECK_LOCATION());
}
}
}
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