extern crate tch;
use tch::{kind, Tensor};
fn grad_example() {
let mut x = Tensor::from(2.0).set_requires_grad(true);
let y = &x * &x + &x + 36;
println!("{}", y.double_value(&[]));
x.zero_grad();
y.backward();
let dy_over_dx = x.grad();
println!("{}", dy_over_dx.double_value(&[]));
}
fn main() {
let t = Tensor::int_vec(&[3, 1, 4, 1, 5]);
t.print();
let t = Tensor::randn(&[5, 4], kind::FLOAT_CPU);
t.print();
(&t + 1.5).print();
(&t + 2.5).print();
let mut t = Tensor::float_vec(&[1.1, 2.1, 3.1]);
t += 42;
t.print();
println!("{:?} {}", t.size(), t.double_value(&[1]));
grad_example();
}