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Replace tuples for arrays #627

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43bcaae
removed 'single usize' as a dimensional pattern
swfsql Apr 24, 2019
fa13a4f
quick fix for blas-tests syntax
swfsql Apr 24, 2019
10643db
fixed tests for 1-sized tuple dimensions
swfsql Apr 25, 2019
5d0ee79
updated Patterns for dimensions: changed from tuples into arrays
swfsql May 1, 2019
03cff63
removed tuples for higher-dimension indexing
swfsql May 1, 2019
0edd2c9
removed IntoDimension impls for tuples
swfsql May 1, 2019
0689578
Merge remote-tracking branch 'ndarray/master' into replace-tuples-for…
swfsql May 1, 2019
f5fde4e
upstream merge update
swfsql May 1, 2019
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288 changes: 149 additions & 139 deletions benches/bench1.rs
View file

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26 changes: 13 additions & 13 deletions benches/chunks.rs
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Original file line number Diff line number Diff line change
@@ -10,8 +10,8 @@ use ndarray::NdProducer;
#[bench]
fn chunk2x2_iter_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let a = Array::<f32, _>::zeros([256, 256]);
let chunksz = [2, 2];
let mut sum = Array::zeros(a.exact_chunks(chunksz).raw_dim());
bench.iter(|| {
azip!(ref a (a.exact_chunks(chunksz)), mut sum in {
@@ -23,8 +23,8 @@ fn chunk2x2_iter_sum(bench: &mut Bencher)
#[bench]
fn chunk2x2_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let a = Array::<f32, _>::zeros([256, 256]);
let chunksz = [2, 2];
let mut sum = Array::zeros(a.exact_chunks(chunksz).raw_dim());
bench.iter(|| {
azip!(ref a (a.exact_chunks(chunksz)), mut sum in {
@@ -36,11 +36,11 @@ fn chunk2x2_sum(bench: &mut Bencher)
#[bench]
fn chunk2x2_sum_get1(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let a = Array::<f32, _>::zeros([256, 256]);
let chunksz = [2, 2];
let mut sum = Array::<f32, _>::zeros(a.exact_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = a.dim();
let [m, n] = a.dim();
for i in 0..m {
for j in 0..n {
sum[[i/2, j/2]] += a[[i, j]];
@@ -52,11 +52,11 @@ fn chunk2x2_sum_get1(bench: &mut Bencher)
#[bench]
fn chunk2x2_sum_uget1(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let a = Array::<f32, _>::zeros([256, 256]);
let chunksz = [2, 2];
let mut sum = Array::<f32, _>::zeros(a.exact_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = a.dim();
let [m, n] = a.dim();
for i in 0..m {
for j in 0..n {
unsafe {
@@ -70,11 +70,11 @@ fn chunk2x2_sum_uget1(bench: &mut Bencher)
#[bench]
fn chunk2x2_sum_get2(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((256, 256));
let chunksz = (2, 2);
let a = Array::<f32, _>::zeros([256, 256]);
let chunksz = [2, 2];
let mut sum = Array::<f32, _>::zeros(a.exact_chunks(chunksz).raw_dim());
bench.iter(|| {
let (m, n) = sum.dim();
let [m, n] = sum.dim();
for i in 0..m {
for j in 0..n {
sum[[i, j]] += a[[i*2 + 0, j*2 + 0]];
8 changes: 4 additions & 4 deletions benches/construct.rs
View file
Original file line number Diff line number Diff line change
@@ -9,21 +9,21 @@ use ndarray::prelude::*;
#[bench]
fn default_f64(bench: &mut Bencher) {
bench.iter(|| {
Array::<f64, _>::default((128, 128))
Array::<f64, _>::default([128, 128])
})
}

#[bench]
fn zeros_f64(bench: &mut Bencher) {
bench.iter(|| {
Array::<f64, _>::zeros((128, 128))
Array::<f64, _>::zeros([128, 128])
})
}

#[bench]
fn map_regular(bench: &mut test::Bencher)
{
let a = Array::linspace(0., 127., 128).into_shape((8, 16)).unwrap();
let a = Array::linspace(0., 127., 128).into_shape([8, 16]).unwrap();
bench.iter(|| {
a.map(|&x| 2. * x)
});
@@ -33,7 +33,7 @@ fn map_regular(bench: &mut test::Bencher)
#[bench]
fn map_stride(bench: &mut test::Bencher)
{
let a = Array::linspace(0., 127., 256).into_shape((8, 32)).unwrap();
let a = Array::linspace(0., 127., 256).into_shape([8, 32]).unwrap();
let av = a.slice(s![.., ..;2]);
bench.iter(|| {
av.map(|&x| 2. * x)
24 changes: 12 additions & 12 deletions benches/gemv.rs
View file
Original file line number Diff line number Diff line change
@@ -10,32 +10,32 @@ use ndarray::linalg::general_mat_vec_mul;

#[bench]
fn gemv_64_64c(bench: &mut Bencher) {
let a = Array::zeros((64, 64));
let (m, n) = a.dim();
let x = Array::zeros(n);
let mut y = Array::zeros(m);
let a = Array::zeros([64, 64]);
let [m, n] = a.dim();
let x = Array::zeros([n]);
let mut y = Array::zeros([m]);
bench.iter(|| {
general_mat_vec_mul(1.0, &a, &x, 1.0, &mut y);
});
}

#[bench]
fn gemv_64_64f(bench: &mut Bencher) {
let a = Array::zeros((64, 64).f());
let (m, n) = a.dim();
let x = Array::zeros(n);
let mut y = Array::zeros(m);
let a = Array::zeros([64, 64].f());
let [m, n] = a.dim();
let x = Array::zeros([n]);
let mut y = Array::zeros([m]);
bench.iter(|| {
general_mat_vec_mul(1.0, &a, &x, 1.0, &mut y);
});
}

#[bench]
fn gemv_64_32(bench: &mut Bencher) {
let a = Array::zeros((64, 32));
let (m, n) = a.dim();
let x = Array::zeros(n);
let mut y = Array::zeros(m);
let a = Array::zeros([64, 32]);
let [m, n] = a.dim();
let x = Array::zeros([n]);
let mut y = Array::zeros([m]);
bench.iter(|| {
general_mat_vec_mul(1.0, &a, &x, 1.0, &mut y);
});
2 changes: 1 addition & 1 deletion benches/higher-order.rs
View file
Original file line number Diff line number Diff line change
@@ -15,7 +15,7 @@ const Y: usize = 16;
#[bench]
fn map_regular(bench: &mut Bencher)
{
let a = Array::linspace(0., 127., N).into_shape((X, Y)).unwrap();
let a = Array::linspace(0., 127., N).into_shape([X, Y]).unwrap();
bench.iter(|| {
a.map(|&x| 2. * x)
});
54 changes: 27 additions & 27 deletions benches/iter.rs
View file
Original file line number Diff line number Diff line change
@@ -14,7 +14,7 @@ use ndarray::Slice;
#[bench]
fn iter_sum_2d_regular(bench: &mut Bencher)
{
let a = Array::<i32, _>::zeros((64, 64));
let a = Array::<i32, _>::zeros([64, 64]);
bench.iter(|| {
a.iter().fold(0, |acc, &x| acc + x)
});
@@ -23,7 +23,7 @@ fn iter_sum_2d_regular(bench: &mut Bencher)
#[bench]
fn iter_sum_2d_cutout(bench: &mut Bencher)
{
let a = Array::<i32, _>::zeros((66, 66));
let a = Array::<i32, _>::zeros([66, 66]);
let av = a.slice(s![1..-1, 1..-1]);
let a = av;
bench.iter(|| {
@@ -34,7 +34,7 @@ fn iter_sum_2d_cutout(bench: &mut Bencher)
#[bench]
fn iter_all_2d_cutout(bench: &mut Bencher)
{
let a = Array::<i32, _>::zeros((66, 66));
let a = Array::<i32, _>::zeros([66, 66]);
let av = a.slice(s![1..-1, 1..-1]);
let a = av;
bench.iter(|| {
@@ -45,7 +45,7 @@ fn iter_all_2d_cutout(bench: &mut Bencher)
#[bench]
fn iter_sum_2d_transpose(bench: &mut Bencher)
{
let a = Array::<i32, _>::zeros((66, 66));
let a = Array::<i32, _>::zeros([66, 66]);
let a = a.t();
bench.iter(|| {
a.iter().fold(0, |acc, &x| acc + x)
@@ -55,7 +55,7 @@ fn iter_sum_2d_transpose(bench: &mut Bencher)
#[bench]
fn iter_filter_sum_2d_u32(bench: &mut Bencher)
{
let a = Array::linspace(0., 1., 256).into_shape((16, 16)).unwrap();
let a = Array::linspace(0., 1., 256).into_shape([16, 16]).unwrap();
let b = a.mapv(|x| (x * 100.) as u32);
bench.iter(|| {
b.iter().filter(|&&x| x < 75).fold(0, |acc, &x| acc + x)
@@ -65,7 +65,7 @@ fn iter_filter_sum_2d_u32(bench: &mut Bencher)
#[bench]
fn iter_filter_sum_2d_f32(bench: &mut Bencher)
{
let a = Array::linspace(0., 1., 256).into_shape((16, 16)).unwrap();
let a = Array::linspace(0., 1., 256).into_shape([16, 16]).unwrap();
let b = a * 100.;
bench.iter(|| {
b.iter().filter(|&&x| x < 75.).fold(0., |acc, &x| acc + x)
@@ -75,7 +75,7 @@ fn iter_filter_sum_2d_f32(bench: &mut Bencher)
#[bench]
fn iter_filter_sum_2d_stride_u32(bench: &mut Bencher)
{
let a = Array::linspace(0., 1., 256).into_shape((16, 16)).unwrap();
let a = Array::linspace(0., 1., 256).into_shape([16, 16]).unwrap();
let b = a.mapv(|x| (x * 100.) as u32);
let b = b.slice(s![.., ..;2]);
bench.iter(|| {
@@ -86,7 +86,7 @@ fn iter_filter_sum_2d_stride_u32(bench: &mut Bencher)
#[bench]
fn iter_filter_sum_2d_stride_f32(bench: &mut Bencher)
{
let a = Array::linspace(0., 1., 256).into_shape((16, 16)).unwrap();
let a = Array::linspace(0., 1., 256).into_shape([16, 16]).unwrap();
let b = a * 100.;
let b = b.slice(s![.., ..;2]);
bench.iter(|| {
@@ -235,8 +235,8 @@ const I2DSZ: usize = 64;

#[bench]
fn indexed_iter_1d_ix1(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros(I2DSZ * I2DSZ);
for (i, elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([I2DSZ * I2DSZ]);
for ([i], elt) in a.indexed_iter_mut() {
*elt = i as _;
}

@@ -250,8 +250,8 @@ fn indexed_iter_1d_ix1(bench: &mut Bencher) {

#[bench]
fn indexed_zip_1d_ix1(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros(I2DSZ * I2DSZ);
for (i, elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([I2DSZ * I2DSZ]);
for ([i], elt) in a.indexed_iter_mut() {
*elt = i as _;
}

@@ -266,8 +266,8 @@ fn indexed_zip_1d_ix1(bench: &mut Bencher) {

#[bench]
fn indexed_iter_2d_ix2(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros((I2DSZ, I2DSZ));
for ((i, j), elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([I2DSZ, I2DSZ]);
for ([i, j], elt) in a.indexed_iter_mut() {
*elt = (i + 100 * j) as _;
}

@@ -280,8 +280,8 @@ fn indexed_iter_2d_ix2(bench: &mut Bencher) {
}
#[bench]
fn indexed_zip_2d_ix2(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros((I2DSZ, I2DSZ));
for ((i, j), elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([I2DSZ, I2DSZ]);
for ([i, j], elt) in a.indexed_iter_mut() {
*elt = (i + 100 * j) as _;
}

@@ -298,8 +298,8 @@ fn indexed_zip_2d_ix2(bench: &mut Bencher) {

#[bench]
fn indexed_iter_3d_ix3(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros((ISZ, ISZ, ISZ));
for ((i, j, k), elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([ISZ, ISZ, ISZ]);
for ([i, j, k], elt) in a.indexed_iter_mut() {
*elt = (i + 100 * j + 10000 * k) as _;
}

@@ -313,8 +313,8 @@ fn indexed_iter_3d_ix3(bench: &mut Bencher) {

#[bench]
fn indexed_zip_3d_ix3(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros((ISZ, ISZ, ISZ));
for ((i, j, k), elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([ISZ, ISZ, ISZ]);
for ([i, j, k], elt) in a.indexed_iter_mut() {
*elt = (i + 100 * j + 10000 * k) as _;
}

@@ -329,8 +329,8 @@ fn indexed_zip_3d_ix3(bench: &mut Bencher) {

#[bench]
fn indexed_iter_3d_dyn(bench: &mut Bencher) {
let mut a = Array::<f64, _>::zeros((ISZ, ISZ, ISZ));
for ((i, j, k), elt) in a.indexed_iter_mut() {
let mut a = Array::<f64, _>::zeros([ISZ, ISZ, ISZ]);
for ([i, j, k], elt) in a.indexed_iter_mut() {
*elt = (i + 100 * j + 10000 * k) as _;
}
let a = a.into_shape(&[ISZ; 3][..]).unwrap();
@@ -346,7 +346,7 @@ fn indexed_iter_3d_dyn(bench: &mut Bencher) {
#[bench]
fn iter_sum_1d_strided_fold(bench: &mut Bencher)
{
let mut a = Array::<u64, _>::ones(10240);
let mut a = Array::<u64, _>::ones([10240]);
a.slice_axis_inplace(Axis(0), Slice::new(0, None, 2));
bench.iter(|| {
a.iter().fold(0, |acc, &x| acc + x)
@@ -356,7 +356,7 @@ fn iter_sum_1d_strided_fold(bench: &mut Bencher)
#[bench]
fn iter_sum_1d_strided_rfold(bench: &mut Bencher)
{
let mut a = Array::<u64, _>::ones(10240);
let mut a = Array::<u64, _>::ones([10240]);
a.slice_axis_inplace(Axis(0), Slice::new(0, None, 2));
bench.iter(|| {
a.iter().rfold(0, |acc, &x| acc + x)
@@ -367,7 +367,7 @@ fn iter_sum_1d_strided_rfold(bench: &mut Bencher)
#[bench]
fn iter_axis_iter_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((64, 64));
let a = Array::<f32, _>::zeros([64, 64]);
bench.iter(|| {
a.axis_iter(Axis(0)).map(|plane| plane.sum()).sum::<f32>()
});
@@ -376,7 +376,7 @@ fn iter_axis_iter_sum(bench: &mut Bencher)
#[bench]
fn iter_axis_chunks_1_iter_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((64, 64));
let a = Array::<f32, _>::zeros([64, 64]);
bench.iter(|| {
a.axis_chunks_iter(Axis(0), 1).map(|plane| plane.sum()).sum::<f32>()
});
@@ -385,7 +385,7 @@ fn iter_axis_chunks_1_iter_sum(bench: &mut Bencher)
#[bench]
fn iter_axis_chunks_5_iter_sum(bench: &mut Bencher)
{
let a = Array::<f32, _>::zeros((64, 64));
let a = Array::<f32, _>::zeros([64, 64]);
bench.iter(|| {
a.axis_chunks_iter(Axis(0), 5).map(|plane| plane.sum()).sum::<f32>()
});
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