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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TensorUtils.hpp"
#include <backendsCommon/ITensorHandle.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());
}
}
std::pair<float, float> FindMinMax(armnn::ITensorHandle* tensorHandle)
{
auto tensor_data = static_cast<const float *>(tensorHandle->Map(true));
auto tensor_size = tensorHandle->GetShape().GetNumElements();
// Set min/max initially to first value in tensor
float min = tensor_data[0];
float max = tensor_data[0];
// Loop over rest of tensor and update min/max if necessary
for (unsigned int val = 1; val < tensor_size; val++)
{
if (tensor_data[val] < min)
{
min = tensor_data[val];
}
else if (tensor_data[val] > max)
{
max = tensor_data[val];
}
}
tensorHandle->Unmap();
return std::make_pair(min, max);
}
}
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