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use chela::*;
use paste::paste;
#[test]
fn test_constructor_requires_grad() {
let a = Tensor::from([1.0, 2.0, 3.0]);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let a = Tensor::full(5f32, [1, 2, 3]);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let a = Tensor::linspace(0f32, 5.0, 2);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let a = Tensor::linspace_exclusive(0f64, 5.0, 2);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let a = Tensor::arange(0f32, 12.0);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let a = Tensor::arange_with_step(0.0, -12f32, -3.0);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let mut a = Tensor::full(5f32, [1, 2, 3]);
a.set_requires_grad(false);
assert!(!a.requires_grad());
assert!(a.is_leaf());
let mut a = Tensor::full(5f32, [1, 2, 3]);
a.set_requires_grad(true);
assert!(a.requires_grad());
assert!(a.is_leaf());
}
#[test]
fn test_iter_requires_grad() {
for requires_grad in [false, true] {
let mut a = Tensor::<f64>::ones([1, 2, 3]);
a.set_requires_grad(requires_grad);
// for b in a.iter_along(Axis(-1)) {
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
// }
//
// let b = a.slice(s![.., 0, 0..2]);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.slice_along(Axis(-2), 0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
}
}
#[test]
fn test_reshape_requires_grad() {
for requires_grad in [false, true] {
let mut a = Tensor::<f32>::ones([1, 2, 3]);
a.set_requires_grad(requires_grad);
// let b = (&a).reshape([6, 1]);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.flatten();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
// let b = a.diagonal();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.clone();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = (&a).view();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = (&a).squeeze();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = (&a).unsqueeze(Axis(-1));
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
}
}
test_for_float_dtypes!(
test_mean_requires_grad, {
for requires_grad in [false, true] {
let mut a = Tensor::<T>::zeros([4, 4, 2]);
a.set_requires_grad(requires_grad);
// let b = a.mean();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.mean_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
}
}
);
test_for_float_dtypes!(
test_arithemtic_requires_grad, {
let mut a = Tensor::<T>::zeros([4, 4, 2]);
let b = Tensor::<T>::ones([4, 4, 2]);
let mut c = Tensor::<T>::zeros([4, 4, 2]);
a.set_requires_grad(true);
c.set_requires_grad(true);
let d = &a + &b;
let e = &a - &b;
let f = &c * &b;
let g = &c / &b;
assert!(d.requires_grad());
assert!(e.requires_grad());
assert!(f.requires_grad());
assert!(g.requires_grad());
let d = &a + 5.0;
let e = &a - 5.0;
let f = &c * 5.0;
let g = &c / 5.0;
assert!(d.requires_grad());
assert!(e.requires_grad());
assert!(f.requires_grad());
assert!(g.requires_grad());
let d = &b + 5.0;
let e = &b - 5.0;
let f = &b * 5.0;
let g = &b / 5.0;
assert!(!d.requires_grad());
assert!(!e.requires_grad());
assert!(!f.requires_grad());
assert!(!g.requires_grad());
let h = &b + &b;
let i = &h * &c;
assert!(!h.requires_grad());
assert!(i.requires_grad());
}
);
test_for_float_dtypes!(
test_reduce_requires_grad, {
for requires_grad in [false, true] {
// let mut a = Tensor::<f32>::zeros([4, 4, 2]).astype::<T>();
// a.set_requires_grad(requires_grad);
//
// let b = a.sum();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.sum_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.min();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.min_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.max();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.max_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.product();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.product_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.min_magnitude();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.min_magnitude_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.max_magnitude();
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
//
// let b = a.max_magnitude_along(0);
// assert_eq!(b.requires_grad(), requires_grad);
// assert!(!requires_grad || !b.is_leaf());
}
}
);
test_for_float_dtypes!(
test_einsum_requires_grad, {
// for requires_grad in [false, true] {
// let mut a = Tensor::<f32>::zeros([4, 4, 2]).astype::<T>();
// a.set_requires_grad(requires_grad);
//
// let mut b = Tensor::<f32>::zeros([4, 4]).astype::<T>();
//
// let c = einsum([&a, &b], (["iij", "ii"], "ij"));
// assert_eq!(c.requires_grad(), requires_grad);
// assert!(!requires_grad || !c.is_leaf());
//
// a.set_requires_grad(!requires_grad);
// b.set_requires_grad(requires_grad);
//
// let c = einsum([&a, &b], (["iij", "ii"], "ij"));
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
// }
//
// let mut a = Tensor::<f32>::ones([4, 4]).astype::<T>();
// let mut b = Tensor::<f32>::ones([4, 4]).astype::<T>();
// let mut v = Tensor::<f32>::ones([4]).astype::<T>();
// let c = v.dot(&v);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// // no requires grad
//
// let c = a.matmul(&b);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = b.matmul(&a);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = a.matmul(&v);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = b.matmul(&v);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
//
// // a requires grad
// a.set_requires_grad(true);
//
// let c = a.matmul(&b);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = b.matmul(&a);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = a.matmul(&v);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = b.matmul(&v);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// // b requires grad
// a.set_requires_grad(false);
// b.set_requires_grad(true);
//
// let c = a.matmul(&b);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = b.matmul(&a);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = a.matmul(&v);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = b.matmul(&v);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// // v requires grad
// b.set_requires_grad(false);
// v.set_requires_grad(true);
//
// let c = a.matmul(&b);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = b.matmul(&a);
// assert_eq!(c.requires_grad(), false);
// assert!(c.is_leaf());
//
// let c = a.matmul(&v);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = b.matmul(&v);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
//
// let c = v.dot(&v);
// assert_eq!(c.requires_grad(), true);
// assert!(!c.is_leaf());
}
);