Tensorflow C++ 占位符初始化

Tensorflow C++ Placeholder initialization

本文关键字：初始化 占位符 C++ Tensorflow      更新时间：2023-10-16

我试图在cpp上使用tensorflow执行图像字幕。我正在遵循如何使用 tf.estimator 导入保存的 Tensorflow 模型训练并预测输入数据并尝试的方向

int main(int argc, char**) {
....
auto x = tf::Tensor(tf::DT_UINT8, tf::TensorShape({height, width, channel}));
auto matrix = x.matrix<char>();
....
}

当我编译程序时，代码

> In file included from /usr/local/include/tensorflow/core/framework/tensor.h:26:0,
from /usr/local/include/tensorflow/core/public/session.h:23,
from /usr/local/include/tensorflow/cc/saved_model/loader.h:26,
from server.cpp:22:
/usr/local/include/tensorflow/core/framework/types.h: In instantiation of ‘struct tensorflow::DataTypeToEnum<char>’:
/usr/local/include/tensorflow/core/framework/tensor.h:530:46:   required from ‘typename tensorflow::TTypes<T, NDIMS>::Tensor tensorflow::Tensor::tensor() [with T = char; long unsigned int NDIMS = 2ul; typename tensorflow::TTypes<T, NDIMS>::Tensor = Eigen::TensorMap<Eigen::Tensor<char, 2, 1, long int>, 16, Eigen::MakePointer>]’
/usr/local/include/tensorflow/core/framework/tensor.h:240:25:   required from ‘typename tensorflow::TTypes<T>::Matrix tensorflow::Tensor::matrix() [with T = char; typename tensorflow::TTypes<T>::Matrix = Eigen::TensorMap<Eigen::Tensor<char, 2, 1, long int>, 16, Eigen::MakePointer>]’
server.cpp:121:34:   required from here
/usr/local/include/tensorflow/core/framework/types.h:138:3: error: static assertion failed: Specified Data Type not supported
static_assert(IsValidDataType<T>::value, "Specified Data Type not supported");In file included from /usr/local/include/tensorflow/core/public/session.h:23:0,
from /usr/local/include/tensorflow/cc/saved_model/loader.h:26,
from server.cpp:22:
/usr/local/include/tensorflow/core/framework/tensor.h: In instantiation of ‘typename tensorflow::TTypes<T, NDIMS>::Tensor tensorflow::Tensor::tensor() [with T = char; long unsigned int NDIMS = 2ul; typename tensorflow::TTypes<T, NDIMS>::Tensor = Eigen::TensorMap<Eigen::Tensor<char, 2, 1, long int>, 16, Eigen::MakePointer>]’:
/usr/local/include/tensorflow/core/framework/tensor.h:240:25:   required from ‘typename tensorflow::TTypes<T>::Matrix tensorflow::Tensor::matrix() [with T = char; typename tensorflow::TTypes<T>::Matrix = Eigen::TensorMap<Eigen::Tensor<char, 2, 1, long int>, 16, Eigen::MakePointer>]’
server.cpp:121:34:   required from here
/usr/local/include/tensorflow/core/framework/tensor.h:530:46: error: ‘v’ is not a member of ‘tensorflow::DataTypeToEnum<char>’
CheckTypeAndIsAligned(DataTypeToEnum<T>::v());

有人遇到过同样的问题吗？

找到了一个解决方案。似乎存在两个问题。 (1( DT_UINT8 是 C++ 中的 uchar (2(使用张量代替矩阵

我将代码更改为

auto x = tf::Tensor(tf::DT_UINT8, tf::TensorShape(
{height, width,3}));
auto matrix = x.tensor<uchar, 3>();

并工作。从 https://github.com/tensorflow/tensorflow/issues/19909 那里得到了这个想法

即使使用初始化列表声明TensorShape，仍应指定矩阵的维数，因为它无法在编译时推导出C++。

auto x = tf::Tensor(tf::DT_UINT8, tf::TensorShape({height, width, channel}));
auto matrix = x.matrix<char, 3>();
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