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Merge pull request #982 from rust-ndarray/better-shape
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Better reshaping, part 1: .to_shape()
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bluss committed May 12, 2021
2 parents 702de70 + 4467cd8 commit 9e93200
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106 changes: 106 additions & 0 deletions benches/to_shape.rs
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#![feature(test)]

extern crate test;
use test::Bencher;

use ndarray::prelude::*;
use ndarray::Order;

#[bench]
fn to_shape2_1(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape(4 * 5).unwrap()
});
}

#[bench]
fn to_shape2_2_same(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((4, 5)).unwrap()
});
}

#[bench]
fn to_shape2_2_flip(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((5, 4)).unwrap()
});
}

#[bench]
fn to_shape2_3(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((2, 5, 2)).unwrap()
});
}

#[bench]
fn to_shape3_1(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape(3 * 4 * 5).unwrap()
});
}

#[bench]
fn to_shape3_2_order(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((12, 5)).unwrap()
});
}

#[bench]
fn to_shape3_2_outoforder(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((4, 15)).unwrap()
});
}

#[bench]
fn to_shape3_3c(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape((3, 4, 5)).unwrap()
});
}

#[bench]
fn to_shape3_3f(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5).f());
let view = a.view();
bench.iter(|| {
view.to_shape(((3, 4, 5), Order::F)).unwrap()
});
}

#[bench]
fn to_shape3_4c(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5));
let view = a.view();
bench.iter(|| {
view.to_shape(((2, 3, 2, 5), Order::C)).unwrap()
});
}

#[bench]
fn to_shape3_4f(bench: &mut Bencher) {
let a = Array::<f32, _>::zeros((3, 4, 5).f());
let view = a.view();
bench.iter(|| {
view.to_shape(((2, 3, 2, 5), Order::F)).unwrap()
});
}
7 changes: 5 additions & 2 deletions src/dimension/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -9,10 +9,10 @@
use crate::error::{from_kind, ErrorKind, ShapeError};
use crate::slice::SliceArg;
use crate::{Ix, Ixs, Slice, SliceInfoElem};
use crate::shape_builder::Strides;
use num_integer::div_floor;

pub use self::axes::{Axes, AxisDescription};
pub(crate) use self::axes::axes_of;
pub use self::axis::Axis;
pub use self::broadcast::DimMax;
pub use self::conversion::IntoDimension;
Expand All @@ -23,7 +23,8 @@ pub use self::ndindex::NdIndex;
pub use self::ops::DimAdd;
pub use self::remove_axis::RemoveAxis;

use crate::shape_builder::Strides;
pub(crate) use self::axes::axes_of;
pub(crate) use self::reshape::reshape_dim;

use std::isize;
use std::mem;
Expand All @@ -40,6 +41,8 @@ mod dynindeximpl;
mod ndindex;
mod ops;
mod remove_axis;
pub(crate) mod reshape;
mod sequence;

/// Calculate offset from `Ix` stride converting sign properly
#[inline(always)]
Expand Down
241 changes: 241 additions & 0 deletions src/dimension/reshape.rs
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use crate::{Dimension, Order, ShapeError, ErrorKind};
use crate::dimension::sequence::{Sequence, SequenceMut, Forward, Reverse};

#[inline]
pub(crate) fn reshape_dim<D, E>(from: &D, strides: &D, to: &E, order: Order)
-> Result<E, ShapeError>
where
D: Dimension,
E: Dimension,
{
debug_assert_eq!(from.ndim(), strides.ndim());
let mut to_strides = E::zeros(to.ndim());
match order {
Order::RowMajor => {
reshape_dim_c(&Forward(from), &Forward(strides),
&Forward(to), Forward(&mut to_strides))?;
}
Order::ColumnMajor => {
reshape_dim_c(&Reverse(from), &Reverse(strides),
&Reverse(to), Reverse(&mut to_strides))?;
}
}
Ok(to_strides)
}

/// Try to reshape an array with dimensions `from_dim` and strides `from_strides` to the new
/// dimension `to_dim`, while keeping the same layout of elements in memory. The strides needed
/// if this is possible are stored into `to_strides`.
///
/// This function uses RowMajor index ordering if the inputs are read in the forward direction
/// (index 0 is axis 0 etc) and ColumnMajor index ordering if the inputs are read in reversed
/// direction (as made possible with the Sequence trait).
///
/// Preconditions:
///
/// 1. from_dim and to_dim are valid dimensions (product of all non-zero axes
/// fits in isize::MAX).
/// 2. from_dim and to_dim are don't have any axes that are zero (that should be handled before
/// this function).
/// 3. `to_strides` should be an all-zeros or all-ones dimension of the right dimensionality
/// (but it will be overwritten after successful exit of this function).
///
/// This function returns:
///
/// - IncompatibleShape if the two shapes are not of matching number of elements
/// - IncompatibleLayout if the input shape and stride can not be remapped to the output shape
/// without moving the array data into a new memory layout.
/// - Ok if the from dim could be mapped to the new to dim.
fn reshape_dim_c<D, E, E2>(from_dim: &D, from_strides: &D, to_dim: &E, mut to_strides: E2)
-> Result<(), ShapeError>
where
D: Sequence<Output=usize>,
E: Sequence<Output=usize>,
E2: SequenceMut<Output=usize>,
{
// cursor indexes into the from and to dimensions
let mut fi = 0; // index into `from_dim`
let mut ti = 0; // index into `to_dim`.

while fi < from_dim.len() && ti < to_dim.len() {
let mut fd = from_dim[fi];
let mut fs = from_strides[fi] as isize;
let mut td = to_dim[ti];

if fd == td {
to_strides[ti] = from_strides[fi];
fi += 1;
ti += 1;
continue
}

if fd == 1 {
fi += 1;
continue;
}

if td == 1 {
to_strides[ti] = 1;
ti += 1;
continue;
}

if fd == 0 || td == 0 {
debug_assert!(false, "zero dim not handled by this function");
return Err(ShapeError::from_kind(ErrorKind::IncompatibleShape));
}

// stride times element count is to be distributed out over a combination of axes.
let mut fstride_whole = fs * (fd as isize);
let mut fd_product = fd; // cumulative product of axis lengths in the combination (from)
let mut td_product = td; // cumulative product of axis lengths in the combination (to)

// The two axis lengths are not a match, so try to combine multiple axes
// to get it to match up.
while fd_product != td_product {
if fd_product < td_product {
// Take another axis on the from side
fi += 1;
if fi >= from_dim.len() {
return Err(ShapeError::from_kind(ErrorKind::IncompatibleShape));
}
fd = from_dim[fi];
fd_product *= fd;
if fd > 1 {
let fs_old = fs;
fs = from_strides[fi] as isize;
// check if this axis and the next are contiguous together
if fs_old != fd as isize * fs {
return Err(ShapeError::from_kind(ErrorKind::IncompatibleLayout));
}
}
} else {
// Take another axis on the `to` side
// First assign the stride to the axis we leave behind
fstride_whole /= td as isize;
to_strides[ti] = fstride_whole as usize;
ti += 1;
if ti >= to_dim.len() {
return Err(ShapeError::from_kind(ErrorKind::IncompatibleShape));
}

td = to_dim[ti];
td_product *= td;
}
}

fstride_whole /= td as isize;
to_strides[ti] = fstride_whole as usize;

fi += 1;
ti += 1;
}

// skip past 1-dims at the end
while fi < from_dim.len() && from_dim[fi] == 1 {
fi += 1;
}

while ti < to_dim.len() && to_dim[ti] == 1 {
to_strides[ti] = 1;
ti += 1;
}

if fi < from_dim.len() || ti < to_dim.len() {
return Err(ShapeError::from_kind(ErrorKind::IncompatibleShape));
}

Ok(())
}

#[cfg(feature = "std")]
#[test]
fn test_reshape() {
use crate::Dim;

macro_rules! test_reshape {
(fail $order:ident from $from:expr, $stride:expr, to $to:expr) => {
let res = reshape_dim(&Dim($from), &Dim($stride), &Dim($to), Order::$order);
println!("Reshape {:?} {:?} to {:?}, order {:?}\n => {:?}",
$from, $stride, $to, Order::$order, res);
let _res = res.expect_err("Expected failed reshape");
};
(ok $order:ident from $from:expr, $stride:expr, to $to:expr, $to_stride:expr) => {{
let res = reshape_dim(&Dim($from), &Dim($stride), &Dim($to), Order::$order);
println!("Reshape {:?} {:?} to {:?}, order {:?}\n => {:?}",
$from, $stride, $to, Order::$order, res);
println!("default stride for from dim: {:?}", Dim($from).default_strides());
println!("default stride for to dim: {:?}", Dim($to).default_strides());
let res = res.expect("Expected successful reshape");
assert_eq!(res, Dim($to_stride), "mismatch in strides");
}};
}

test_reshape!(ok C from [1, 2, 3], [6, 3, 1], to [1, 2, 3], [6, 3, 1]);
test_reshape!(ok C from [1, 2, 3], [6, 3, 1], to [2, 3], [3, 1]);
test_reshape!(ok C from [1, 2, 3], [6, 3, 1], to [6], [1]);
test_reshape!(fail C from [1, 2, 3], [6, 3, 1], to [1]);
test_reshape!(fail F from [1, 2, 3], [6, 3, 1], to [1]);

test_reshape!(ok C from [6], [1], to [3, 2], [2, 1]);
test_reshape!(ok C from [3, 4, 5], [20, 5, 1], to [4, 15], [15, 1]);

test_reshape!(ok C from [4, 4, 4], [16, 4, 1], to [16, 4], [4, 1]);

test_reshape!(ok C from [4, 4], [4, 1], to [2, 2, 4, 1], [8, 4, 1, 1]);
test_reshape!(ok C from [4, 4], [4, 1], to [2, 2, 4], [8, 4, 1]);
test_reshape!(ok C from [4, 4], [4, 1], to [2, 2, 2, 2], [8, 4, 2, 1]);

test_reshape!(ok C from [4, 4], [4, 1], to [2, 2, 1, 4], [8, 4, 1, 1]);

test_reshape!(ok C from [4, 4, 4], [16, 4, 1], to [16, 4], [4, 1]);
test_reshape!(ok C from [3, 4, 4], [16, 4, 1], to [3, 16], [16, 1]);

test_reshape!(ok C from [4, 4], [8, 1], to [2, 2, 2, 2], [16, 8, 2, 1]);

test_reshape!(fail C from [4, 4], [8, 1], to [2, 1, 4, 2]);

test_reshape!(ok C from [16], [4], to [2, 2, 4], [32, 16, 4]);
test_reshape!(ok C from [16], [-4isize as usize], to [2, 2, 4],
[-32isize as usize, -16isize as usize, -4isize as usize]);
test_reshape!(ok F from [16], [4], to [2, 2, 4], [4, 8, 16]);
test_reshape!(ok F from [16], [-4isize as usize], to [2, 2, 4],
[-4isize as usize, -8isize as usize, -16isize as usize]);

test_reshape!(ok C from [3, 4, 5], [20, 5, 1], to [12, 5], [5, 1]);
test_reshape!(ok C from [3, 4, 5], [20, 5, 1], to [4, 15], [15, 1]);
test_reshape!(fail F from [3, 4, 5], [20, 5, 1], to [4, 15]);
test_reshape!(ok C from [3, 4, 5, 7], [140, 35, 7, 1], to [28, 15], [15, 1]);

// preserve stride if shape matches
test_reshape!(ok C from [10], [2], to [10], [2]);
test_reshape!(ok F from [10], [2], to [10], [2]);
test_reshape!(ok C from [2, 10], [1, 2], to [2, 10], [1, 2]);
test_reshape!(ok F from [2, 10], [1, 2], to [2, 10], [1, 2]);
test_reshape!(ok C from [3, 4, 5], [20, 5, 1], to [3, 4, 5], [20, 5, 1]);
test_reshape!(ok F from [3, 4, 5], [20, 5, 1], to [3, 4, 5], [20, 5, 1]);

test_reshape!(ok C from [3, 4, 5], [4, 1, 1], to [12, 5], [1, 1]);
test_reshape!(ok F from [3, 4, 5], [1, 3, 12], to [12, 5], [1, 12]);
test_reshape!(ok F from [3, 4, 5], [1, 3, 1], to [12, 5], [1, 1]);

// broadcast shapes
test_reshape!(ok C from [3, 4, 5, 7], [0, 0, 7, 1], to [12, 35], [0, 1]);
test_reshape!(fail C from [3, 4, 5, 7], [0, 0, 7, 1], to [28, 15]);

// one-filled shapes
test_reshape!(ok C from [10], [1], to [1, 10, 1, 1, 1], [1, 1, 1, 1, 1]);
test_reshape!(ok F from [10], [1], to [1, 10, 1, 1, 1], [1, 1, 1, 1, 1]);
test_reshape!(ok C from [1, 10], [10, 1], to [1, 10, 1, 1, 1], [10, 1, 1, 1, 1]);
test_reshape!(ok F from [1, 10], [10, 1], to [1, 10, 1, 1, 1], [10, 1, 1, 1, 1]);
test_reshape!(ok C from [1, 10], [1, 1], to [1, 5, 1, 1, 2], [1, 2, 2, 2, 1]);
test_reshape!(ok F from [1, 10], [1, 1], to [1, 5, 1, 1, 2], [1, 1, 5, 5, 5]);
test_reshape!(ok C from [10, 1, 1, 1, 1], [1, 1, 1, 1, 1], to [10], [1]);
test_reshape!(ok F from [10, 1, 1, 1, 1], [1, 1, 1, 1, 1], to [10], [1]);
test_reshape!(ok C from [1, 5, 1, 2, 1], [1, 2, 1, 1, 1], to [10], [1]);
test_reshape!(fail F from [1, 5, 1, 2, 1], [1, 2, 1, 1, 1], to [10]);
test_reshape!(ok F from [1, 5, 1, 2, 1], [1, 1, 1, 5, 1], to [10], [1]);
test_reshape!(fail C from [1, 5, 1, 2, 1], [1, 1, 1, 5, 1], to [10]);
}

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