use smallvec::smallvec;
use crate::{Element, Recordable, Shape, Tensor};
use super::{Cotangents, Operation, Reads, binary};
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub(crate) struct Mul;
impl Mul {
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,
"multiplication requires operands of equal shapes"
);
left.clone()
}
}
impl Mul {
pub(crate) fn forward<E: Element>(&self, operands: &[&Tensor<E>]) -> Tensor<E> {
let (&left, &right) = binary(operands);
left.clone() * right.clone()
}
}
impl<Rule: Recordable> Operation<Rule> for Mul {
fn backward(&self, operands: &[&Rule], _output: &Rule, gradient: &Rule) -> Cotangents<Rule> {
let (&left, &right) = binary(operands);
smallvec![
Some(gradient.clone() * right.clone()),
Some(gradient.clone() * left.clone()),
]
}
}