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use hpt_common::{shape::shape::Shape, strides::strides::Strides};
use hpt_traits::tensor::{CommonBounds, TensorInfo};
use hpt_types::dtype::TypeCommon;
use std::sync::Arc;
use crate::{
iterator_traits::{IterGetSet, StridedIterator},
par_strided_mut::ParStridedMut,
strided_zip::StridedZip,
};
/// A module for mutable mapped strided iterator.
pub mod strided_map_mut_simd {
use std::sync::Arc;
use crate::{CommonBounds, TensorInfo};
use hpt_common::{shape::shape::Shape, strides::strides::Strides};
use hpt_types::dtype::TypeCommon;
use crate::{
iterator_traits::{IterGetSetSimd, StridedIteratorSimd},
par_strided_mut::par_strided_map_mut_simd::ParStridedMutSimd,
strided_zip::strided_zip_simd::StridedZipSimd,
};
/// A SIMD-optimized mutable mapped strided iterator over tensor elements.
///
/// This struct provides mutable access to tensor elements with SIMD optimizations,
/// allowing for efficient parallel processing of tensor data.
pub struct StridedMapMutSimd<'a, T>
where
T: Copy + TypeCommon + Send + Sync,
{
/// The underlying parallel SIMD-optimized strided iterator.
pub(crate) base: ParStridedMutSimd<'a, T>,
/// Phantom data to associate the lifetime `'a` with the struct.
pub(crate) phantom: std::marker::PhantomData<&'a ()>,
}
impl<'a, T> StridedMapMutSimd<'a, T>
where
T: CommonBounds,
T::Vec: Send,
{
/// Creates a new `StridedMapMutSimd` instance from a given tensor.
///
/// # Arguments
///
/// * `res_tensor` - The tensor implementing the `TensorInfo<T>` trait to iterate over mutably.
///
/// # Returns
///
/// A new instance of `StridedMapMutSimd` initialized with the provided tensor.
pub fn new<U: TensorInfo<T>>(res_tensor: U) -> Self {
StridedMapMutSimd {
base: ParStridedMutSimd::new(res_tensor),
phantom: std::marker::PhantomData,
}
}
/// Combines this `StridedMapMutSimd` iterator with another SIMD-optimized iterator, enabling simultaneous iteration.
///
/// This method zips together `self` and `other` into a `StridedZipSimd` iterator, allowing for synchronized
/// iteration over both iterators. This is particularly useful for operations that require processing
/// elements from two tensors in parallel.
///
/// # Arguments
///
/// * `other` - The other iterator to zip with. It must implement the `IterGetSetSimd` trait, and
/// its associated `Item` type must be `Send`.
///
/// # Returns
///
/// A `StridedZipSimd` instance that zips together `self` and `other`, enabling synchronized
/// iteration over their elements.
pub(crate) fn zip<C>(self, other: C) -> StridedZipSimd<'a, Self, C>
where
C: 'a + IterGetSetSimd,
<C as IterGetSetSimd>::Item: Send,
{
StridedZipSimd::new(self, other)
}
}
impl<'a, T> StridedIteratorSimd for StridedMapMutSimd<'a, T> where T: 'a + CommonBounds {}
impl<'a, T: 'a + CommonBounds> IterGetSetSimd for StridedMapMutSimd<'a, T>
where
T::Vec: Send,
{
type Item = &'a mut T;
type SimdItem = &'a mut T::Vec;
fn set_end_index(&mut self, _: usize) {}
fn set_intervals(&mut self, _: Arc<Vec<(usize, usize)>>) {}
fn set_strides(&mut self, strides: Strides) {
self.base.set_strides(strides);
}
fn set_shape(&mut self, shape: Shape) {
self.base.set_shape(shape);
}
fn set_prg(&mut self, prg: Vec<i64>) {
self.base.set_prg(prg);
}
fn intervals(&self) -> &Arc<Vec<(usize, usize)>> {
self.base.intervals()
}
fn strides(&self) -> &Strides {
self.base.strides()
}
fn shape(&self) -> &Shape {
self.base.shape()
}
fn layout(&self) -> &hpt_common::layout::layout::Layout {
self.base.layout()
}
fn broadcast_set_strides(&mut self, shape: &Shape) {
self.base.broadcast_set_strides(shape);
}
fn outer_loop_size(&self) -> usize {
self.base.outer_loop_size()
}
fn inner_loop_size(&self) -> usize {
self.base.inner_loop_size()
}
fn next(&mut self) {
self.base.next();
}
fn next_simd(&mut self) {
todo!()
}
fn inner_loop_next(&mut self, index: usize) -> Self::Item {
self.base.inner_loop_next(index)
}
fn inner_loop_next_simd(&mut self, _: usize) -> Self::SimdItem {
todo!()
}
fn all_last_stride_one(&self) -> bool {
todo!()
}
fn lanes(&self) -> Option<usize> {
todo!()
}
}
}
/// A `non` SIMD-optimized mutable mapped strided iterator over tensor elements.
///
/// This struct provides mutable access to tensor elements,
pub struct StridedMapMut<'a, T>
where
T: Copy + TypeCommon,
{
/// The underlying parallel mutable strided iterator.
pub(crate) base: ParStridedMut<'a, T>,
/// Phantom data to associate the lifetime `'a` with the struct.
pub(crate) phantom: std::marker::PhantomData<&'a ()>,
}
impl<'a, T> StridedMapMut<'a, T>
where
T: CommonBounds,
T::Vec: Send,
{
/// Creates a new `StridedMapMut` instance from a given tensor.
///
/// # Arguments
///
/// * `res_tensor` - The tensor implementing the `TensorInfo<T>` trait to iterate over mutably.
///
/// # Returns
///
/// A new instance of `StridedMapMut` initialized with the provided tensor.
pub fn new<U: TensorInfo<T>>(res_tensor: U) -> Self {
StridedMapMut {
base: ParStridedMut::new(res_tensor),
phantom: std::marker::PhantomData,
}
}
/// Combines this `StridedMapMut` iterator with another iterator, enabling simultaneous iteration.
///
/// This method zips together `self` and `other` into a `StridedZip` iterator, allowing for synchronized
/// iteration over both iterators. This is particularly useful for operations that require processing
/// elements from two tensors in parallel, such as element-wise arithmetic operations.
///
/// # Arguments
///
/// * `other` - The other iterator to zip with. It must implement the `IterGetSet` trait, and
/// its associated `Item` type must be `Send`.
///
/// # Returns
///
/// A `StridedZip` instance that encapsulates both `self` and `other`, allowing for synchronized
/// iteration over their elements.
pub fn zip<C>(self, other: C) -> StridedZip<'a, Self, C>
where
C: 'a + IterGetSet,
<C as IterGetSet>::Item: Send,
{
StridedZip::new(self, other)
}
}
impl<'a, T> StridedIterator for StridedMapMut<'a, T> where T: 'a + CommonBounds {}
impl<'a, T: 'a + CommonBounds> IterGetSet for StridedMapMut<'a, T>
where
T::Vec: Send,
{
type Item = &'a mut T;
fn set_end_index(&mut self, _: usize) {}
fn set_intervals(&mut self, _: Arc<Vec<(usize, usize)>>) {}
fn set_strides(&mut self, strides: Strides) {
self.base.set_strides(strides);
}
fn set_shape(&mut self, shape: Shape) {
self.base.set_shape(shape);
}
fn set_prg(&mut self, prg: Vec<i64>) {
self.base.set_prg(prg);
}
fn intervals(&self) -> &Arc<Vec<(usize, usize)>> {
self.base.intervals()
}
fn strides(&self) -> &Strides {
self.base.strides()
}
fn shape(&self) -> &Shape {
self.base.shape()
}
fn layout(&self) -> &hpt_common::layout::layout::Layout {
self.base.layout()
}
fn broadcast_set_strides(&mut self, shape: &Shape) {
self.base.broadcast_set_strides(shape);
}
fn outer_loop_size(&self) -> usize {
self.base.outer_loop_size()
}
fn inner_loop_size(&self) -> usize {
self.base.inner_loop_size()
}
fn next(&mut self) {
self.base.next();
}
fn inner_loop_next(&mut self, index: usize) -> Self::Item {
self.base.inner_loop_next(index)
}
}