pub type Tensor5<const X: usize, const Y: usize, const Z: usize, const W: usize, const V: usize> = Tensor<Dim5<X, Y, Z, W, V>>;Expand description
A 5-th order tensor.
Aliased Type§
pub struct Tensor5<const X: usize, const Y: usize, const Z: usize, const W: usize, const V: usize> {
pub inner: <Dim5<X, Y, Z, W, V> as Dimension>::ArrayForm,
}Fields§
§inner: <Dim5<X, Y, Z, W, V> as Dimension>::ArrayFormImplementations§
Source§impl<const X: usize, const Y: usize, const Z: usize, const W: usize, const V: usize> Tensor5<X, Y, Z, W, V>
impl<const X: usize, const Y: usize, const Z: usize, const W: usize, const V: usize> Tensor5<X, Y, Z, W, V>
Sourcepub fn convolution<const KX: usize, const BX: usize, const KY: usize, const BY: usize, const KZ: usize, const BZ: usize, const KW: usize, const BW: usize, const KV: usize, const BV: usize>(
&self,
kernel: &Tensor5<KX, KY, KZ, KW, KV>,
stride: &[usize],
) -> Tensor5<BX, BY, BZ, BW, BV>
pub fn convolution<const KX: usize, const BX: usize, const KY: usize, const BY: usize, const KZ: usize, const BZ: usize, const KW: usize, const BW: usize, const KV: usize, const BV: usize>( &self, kernel: &Tensor5<KX, KY, KZ, KW, KV>, stride: &[usize], ) -> Tensor5<BX, BY, BZ, BW, BV>
Computes the convolution with padded 0.
§Stride
The stride parameter controls the amount that kernel moves in each iteration.
Note that it panics when any elememt in stride[..5] is 0
or stride.len() < 5. If unsure, use &[1; 5]
§Note
Each dimension of the output must be ceil((self + kernel) / stride) - 1 or else
there will be a runtime panic. It is not checked during compile time due to Rust
type bound limits.