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