ai_dataloader/collate/default_collate/
primitive.rs

1use super::super::Collate;
2use super::DefaultCollate;
3
4use ndarray::{Array, Array1};
5
6macro_rules! primitive_impl {
7    ($($t:ty)*) => {
8        $(
9            impl Collate<$t> for DefaultCollate {
10                type Output = Array1<$t>;
11                fn collate(&self, batch: Vec<$t>) -> Self::Output {
12                    Array::from_vec(batch)
13                }
14            }
15        )*
16    };
17}
18primitive_impl!(usize u16 u32 u64 u128
19    isize i8 i16 i32 i64 i128
20    f32 f64
21    bool char);
22
23/// `NoOp` for binary, as pytorch `default_collate` function.
24impl Collate<u8> for DefaultCollate {
25    type Output = Vec<u8>;
26    fn collate(&self, batch: Vec<u8>) -> Self::Output {
27        batch
28    }
29}
30
31#[cfg(test)]
32mod tests {
33    use super::*;
34    use ndarray::array;
35
36    #[test]
37    fn scalar_type() {
38        assert_eq!(
39            DefaultCollate.collate(vec![0, 1, 2, 3, 4, 5]),
40            array![0, 1, 2, 3, 4, 5]
41        );
42        assert_eq!(
43            DefaultCollate.collate(vec![0., 1., 2., 3., 4., 5.]),
44            array![0., 1., 2., 3., 4., 5.]
45        );
46    }
47}