use smallvec::smallvec;
use crate::{Element, Recordable, Shape, Tensor};
use super::{Cotangents, Operation, Reads, binary};
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub(crate) struct Maximum;
impl Maximum {
pub(crate) fn arity(&self) -> usize {
2
}
pub(crate) fn reads(&self) -> Reads {
Reads {
operands: [true, true],
output: false,
}
}
pub(crate) fn infer_shape(&self, operands: &[Shape]) -> Shape {
let (left, right) = binary(operands);
assert_eq!(left, right, "maximum requires operands of equal shapes");
left.clone()
}
}
impl Maximum {
pub(crate) fn forward<E: Element>(&self, operands: &[&Tensor<E>]) -> Tensor<E> {
let (&left, &right) = binary(operands);
left.maximum(right)
}
}
impl<Rule: Recordable> Operation<Rule> for Maximum {
fn backward(&self, operands: &[&Rule], _output: &Rule, gradient: &Rule) -> Cotangents<Rule> {
let (&left, &right) = binary(operands);
let winners = left.step(right);
let left_cotangent = gradient.clone() * winners.clone();
let right_cotangent = gradient.clone() * (winners.one_like() - winners);
smallvec![Some(left_cotangent), Some(right_cotangent)]
}
}
#[cfg(test)]
#[path = "tests/maximum_tests.rs"]
mod tests;