Files
rk35xx-android14/external/armnn/include/armnnTestUtils/DataLayoutUtils.hpp
T
hmz007 36ed224bac Rockchip Anroid14_SDK 20240628-rkr5 (2556df1a)
Signed-off-by: hmz007 <hmz007@gmail.com>
Change-Id: Ib87fdbe7a0be7dc961af3500fe9ea4589a127f9f
2024-10-29 18:12:02 +08:00

61 lines
1.8 KiB
C++

//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <armnnUtils/Permute.hpp>
template<typename T>
void PermuteTensorNchwToNhwc(armnn::TensorInfo& tensorInfo, std::vector<T>& tensorData)
{
const armnn::PermutationVector nchwToNhwc = { 0, 3, 1, 2 };
tensorInfo = armnnUtils::Permuted(tensorInfo, nchwToNhwc);
std::vector<T> tmp(tensorData.size());
armnnUtils::Permute(tensorInfo.GetShape(), nchwToNhwc, tensorData.data(), tmp.data(), sizeof(T));
tensorData = tmp;
}
template<typename T>
void PermuteTensorNhwcToNchw(armnn::TensorInfo& tensorInfo, std::vector<T>& tensorData)
{
const armnn::PermutationVector nhwcToNchw = { 0, 2, 3, 1 };
tensorInfo = armnnUtils::Permuted(tensorInfo, nhwcToNchw);
std::vector<T> tmp(tensorData.size());
armnnUtils::Permute(tensorInfo.GetShape(), nhwcToNchw, tensorData.data(), tmp.data(), sizeof(T));
tensorData = tmp;
}
template<typename T>
void PermuteTensorNdhwcToNcdhw(armnn::TensorInfo& tensorInfo, std::vector<T>& tensorData)
{
const armnn::PermutationVector ndhwcToNcdhw = { 0, 2, 3, 4, 1 };
tensorInfo = armnnUtils::Permuted(tensorInfo, ndhwcToNcdhw);
std::vector<T> tmp(tensorData.size());
armnnUtils::Permute(tensorInfo.GetShape(), ndhwcToNcdhw, tensorData.data(), tmp.data(), sizeof(T));
tensorData = tmp;
}
template<typename T>
void PermuteTensorNcdhwToNdhwc(armnn::TensorInfo& tensorInfo, std::vector<T>& tensorData)
{
const armnn::PermutationVector ncdhwToNdhwc = { 0, 4, 1, 2, 3 };
tensorInfo = armnnUtils::Permuted(tensorInfo, ncdhwToNdhwc);
std::vector<T> tmp(tensorData.size());
armnnUtils::Permute(tensorInfo.GetShape(), ncdhwToNdhwc, tensorData.data(), tmp.data(), sizeof(T));
tensorData = tmp;
}