I'm creating a tensor like this:
tensorflow::Tensor a(tensorflow::DT_FLOAT, tensorflow::TensorShape());
I know how to fill a scalar value:
a.scalar<float>()() = 8.0;
But I don't know how to fill a tensor like [1, 4, 2].
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}.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With