autograd

Autograd is a forward and reverse mode Automatic Differentiation. Autograd also supports optimization. Automatic differentiation is particularly important in the field of machine learning. For example, it allows one to implement backpropagation in a neural network without a manually-computed derivative

https://en.wikipedia.org/wiki/Automatic_differentiation

Running

First compile the code.

$ g++ tensor.cpp -o output

(Optional) compile with multi-threading support.

$ g++ -fopenmp -O3 tensor.cpp -o output
$ ./out

(Optional) compile with GPU acceleration through cuda.

$ cd build
$ cmake .. 
$ make
$ ./tensor_test