How to fill a tensor in C++

tensorflow::Input::Initializer a({{1, 2}, {3, 4}});

Actually it works in compiling, but errors when running, which shows that a is a tensor with [0] tensorshape. I don't know where is wrong, but my successful way is:

tensorflow::Input::Initializer a({1, 2, 3, 4}, tensorflow::TensorShape({2, 2}));

There are a few options. If the tensor is really a small vector, like in your case, you can do the following :

tensorflow::Tensor a(tensorflow::DT_FLOAT, tensorflow::TensorShape(3));
a.vec<float>()(0) = 1.0f;
a.vec<float>()(1) = 4.0f;
a.vec<float>()(2) = 2.0f;

If you want to construct a slightly larger and/or multi-dimensional tensor, then tensorflow::ops::Input::Initializer declared in tensorflow/cc/framework/ops.h has many constructors that lets you construct a Tensor from various kinds of C++ constants such as simple primitive constants and nested initializer lists representing a multi-dimensional array.

For example, if you want to construct a 2x2 matrix, you can do the following :

#include "tensorflow/cc/framework/cc/ops.h"

tensorflow::ops::Input::Initializer a({{1, 2}, {3, 4}});
// a.tensor will be a Tensor with type DT_INT32 and shape {2, 2}.