Tensorflow C++ 占位符初始化 [英] Tensorflow C++ Placeholder initialization

问题描述

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 导入已保存的 Tensorflow 模型训练并预测输入数据 并尝试

I was trying to perform image captioning with tensorflow on cpp. I was following the direction on How to import an saved Tensorflow model train using tf.estimator and predict on input data and tried

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?

Did anybody came across the same problem?

推荐答案

即使你用初始化列表声明你的 TensorShape，你仍然应该指定矩阵的维数，因为它不能在 C++ 编译时推导.

Even though you declare your TensorShape with an initialization list, you should still specify the number of dimensions of your matrix, as it cannot be deduced at compilation time in C++.

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

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