use singe_cuda::memory::DeviceMemory;
use crate::{
context::StreamContext,
error::Result,
image::view::{ChannelLayout, ImageView, MaskView},
};
use super::super::{
ImagePipeline,
statistics::{ImageStatistic, MaskedNormDiffImage},
};
impl<'a, T, L> ImagePipeline<'a, T, L>
where
T: Copy,
L: ChannelLayout,
Self: MaskedNormDiffImage<T, L>,
{
pub fn norm_diff_l2_masked_into(
stream_context: &StreamContext,
source_1: &ImageView<'_, T, L>,
source_2: &ImageView<'_, T, L>,
mask: &MaskView<'_>,
output: &mut DeviceMemory<f64>,
) -> Result<()> {
<Self as MaskedNormDiffImage<T, L>>::norm_diff_l2_masked(
stream_context,
source_1,
source_2,
mask,
output,
)
}
pub fn norm_diff_l2_masked(
self,
other: &ImageView<'_, T, L>,
mask: &MaskView<'_>,
) -> Result<ImageStatistic<f64>> {
self.masked_norm_diff(
other,
mask,
<Self as MaskedNormDiffImage<T, L>>::norm_diff_l2_masked,
)
}
}