mod cpu_kernel;
#[cfg(feature = "cuda")]
mod cuda_kernel;
use super::ops::{try_unary_op, UnaryKernel};
use crate::{shapes::*, tensor::*};
#[repr(C)]
#[derive(Debug, Default, Copy, Clone)]
pub struct AbsKernelOp;
pub fn abs<S: Shape, E: Dtype, D: UnaryKernel<AbsKernelOp, E>, T: Tape<E, D>>(
t: Tensor<S, E, D, T>,
) -> Tensor<S, E, D, T> {
t.abs()
}
impl<S: Shape, E: Dtype, D: UnaryKernel<AbsKernelOp, E>, T: Tape<E, D>> Tensor<S, E, D, T> {
pub fn abs(self) -> Self {
self.try_abs().unwrap()
}
pub fn try_abs(self) -> Result<Self, D::Err> {
try_unary_op(AbsKernelOp, self)
}
}
#[cfg(test)]
mod tests {
use crate::{tensor::*, tensor_ops::*, tests::*};
#[test]
fn test_abs() {
let dev: TestDevice = Default::default();
let x = dev
.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
.to_dtype::<TestDtype>();
let r = x.leaky_trace().abs();
assert_close_to_literal!(r, [2.0, 1.0, 0.0, 1.0, 2.0]);
let g = r.mean().backward();
assert_close_to_literal!(g.get(&x), [-0.2, -0.2, 0.0, 0.2, 0.2]);
}
}