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feat: add C ndarray API and refactor blas/ext/base/sapxsumors
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PR-URL: stdlib-js#4746
Co-authored-by: Athan Reines <[email protected]>
Reviewed-by: Athan Reines <[email protected]>
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2 people authored and jalajk3004 committed Jan 14, 2025
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145 changes: 133 additions & 12 deletions lib/node_modules/@stdlib/blas/ext/base/sapxsumors/README.md
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Expand Up @@ -20,7 +20,7 @@ limitations under the License.

# sapxsumors

> Add a constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.
> Add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.
<section class="intro">

Expand All @@ -36,9 +36,9 @@ limitations under the License.
var sapxsumors = require( '@stdlib/blas/ext/base/sapxsumors' );
```

#### sapxsumors( N, alpha, x, stride )
#### sapxsumors( N, alpha, x, strideX )

Adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.
Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.

```javascript
var Float32Array = require( '@stdlib/array/float32' );
Expand All @@ -52,10 +52,11 @@ var v = sapxsumors( x.length, 5.0, x, 1 );
The function has the following parameters:

- **N**: number of indexed elements.
- **alpha**: scalar constant.
- **x**: input [`Float32Array`][@stdlib/array/float32].
- **stride**: index increment for `x`.
- **strideX**: stride length.

The `N` and `stride` parameters determine which elements in the strided array are accessed at runtime. For example, to access every other element in `x`,
The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to access every other element:

```javascript
var Float32Array = require( '@stdlib/array/float32' );
Expand All @@ -80,9 +81,9 @@ var v = sapxsumors( 4, 5.0, x1, 2 );
// returns 25.0
```

#### sapxsumors.ndarray( N, alpha, x, stride, offset )
#### sapxsumors.ndarray( N, alpha, x, strideX, offsetX )

Adds a constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation and alternative indexing semantics.
Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation and alternative indexing semantics.

```javascript
var Float32Array = require( '@stdlib/array/float32' );
Expand All @@ -95,9 +96,9 @@ var v = sapxsumors.ndarray( x.length, 5.0, x, 1, 0 );

The function has the following additional parameters:

- **offset**: starting index for `x`.
- **offsetX**: starting index.

While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to access every other value in `x` starting from the second value
While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to access every other element starting from the second element:

```javascript
var Float32Array = require( '@stdlib/array/float32' );
Expand Down Expand Up @@ -130,12 +131,13 @@ var v = sapxsumors.ndarray( 4, 5.0, x, 2, 1 );
<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Float32Array = require( '@stdlib/array/float32' );
var sapxsumors = require( '@stdlib/blas/ext/base/sapxsumors' );

var x = filledarrayBy( 10, 'float32', discreteUniform( 0, 100 ) );
var x = discreteUniform( 10, -100, 100, {
'dtype': 'float32'
});
console.log( x );

var v = sapxsumors( x.length, 5.0, x, 1 );
Expand All @@ -146,6 +148,125 @@ console.log( v );

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/blas/ext/base/sapxsumors.h"
```

#### stdlib_strided_sapxsumors( N, alpha, \*X, strideX )

Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation.

```c
const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f };

float v = stdlib_strided_sapxsumors( 4, 5.0f, x, 1 );
// returns 30.0
```
The function accepts the following arguments:
- **N**: `[in] CBLAS_INT` number of indexed elements.
- **alpha**: `[in] float` scalar constant.
- **X**: `[in] float*` input array.
- **strideX**: `[in] CBLAS_INT` stride length.
```c
float stdlib_strided_sapxsumors( const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX );
```

#### stdlib_strided_sapxsumors_ndarray( N, alpha, \*X, strideX, offsetX )

Adds a scalar constant to each single-precision floating-point strided array element and computes the sum using ordinary recursive summation and alternative indexing semantics.

```c
const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f };

float v = stdlib_strided_sapxsumors_ndarray( 4, 5.0f, x, 1, 0 );
// returns 30.0
```
The function accepts the following arguments:
- **N**: `[in] CBLAS_INT` number of indexed elements.
- **alpha**: `[in] float` scalar constant.
- **X**: `[in] float*` input array.
- **strideX**: `[in] CBLAS_INT` stride length.
- **offsetX**: `[in] CBLAS_INT` starting index.
```c
float stdlib_strided_sapxsumors_ndarray( const CBLAS_INT N, const float alpha, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
```

</section>

<!-- /.usage -->

<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- C API usage examples. -->

<section class="examples">

### Examples

```c
#include "stdlib/blas/ext/base/sapxsumors.h"
#include <stdio.h>

int main( void ) {
// Create a strided array:
const float x[] = { 1.0f, -2.0f, 3.0f, -4.0f, 5.0f, -6.0f, 7.0f, -8.0f };

// Specify the number of indexed elements:
const int N = 8;

// Specify a stride:
const int strideX = 1;

// Compute the sum:
float v = stdlib_strided_sapxsumors( N, 5.0f, x, strideX );

// Print the result:
printf( "Sum: %f\n", v );
}
```
</section>
<!-- /.examples -->
</section>
<!-- /.c -->
<section class="references">
</section>
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Expand Up @@ -21,8 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var pkg = require( './../package.json' ).name;
Expand All @@ -31,7 +30,9 @@ var sapxsumors = require( './../lib/sapxsumors.js' );

// VARIABLES //

var rand = uniform( -100.0, 100.0 );
var options = {
'dtype': 'float32'
};


// FUNCTIONS //
Expand All @@ -44,7 +45,7 @@ var rand = uniform( -100.0, 100.0 );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = filledarrayBy( len, 'float32', rand );
var x = uniform( len, -100, 100, options );
return benchmark;

function benchmark( b ) {
Expand Down
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Expand Up @@ -22,8 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var tryRequire = require( '@stdlib/utils/try-require' );
Expand All @@ -36,7 +35,9 @@ var sapxsumors = tryRequire( resolve( __dirname, './../lib/sapxsumors.native.js'
var opts = {
'skip': ( sapxsumors instanceof Error )
};
var rand = uniform( -100.0, 100.0 );
var options = {
'dtype': 'float32'
};


// FUNCTIONS //
Expand All @@ -49,7 +50,7 @@ var rand = uniform( -100.0, 100.0 );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = filledarrayBy( len, 'float32', rand );
var x = uniform( len, -100, 100, options );
return benchmark;

function benchmark( b ) {
Expand Down
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Expand Up @@ -21,8 +21,7 @@
// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var pkg = require( './../package.json' ).name;
Expand All @@ -31,7 +30,9 @@ var sapxsumors = require( './../lib/ndarray.js' );

// VARIABLES //

var rand = uniform( -100.0, 100.0 );
var options = {
'dtype': 'float32'
};


// FUNCTIONS //
Expand All @@ -44,7 +45,7 @@ var rand = uniform( -100.0, 100.0 );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = filledarrayBy( len, 'float32', rand );
var x = uniform( len, -100, 100, options );
return benchmark;

function benchmark( b ) {
Expand Down
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Expand Up @@ -22,8 +22,7 @@

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/base/uniform' ).factory;
var filledarrayBy = require( '@stdlib/array/filled-by' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var tryRequire = require( '@stdlib/utils/try-require' );
Expand All @@ -36,7 +35,9 @@ var sapxsumors = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' )
var opts = {
'skip': ( sapxsumors instanceof Error )
};
var rand = uniform( -100.0, 100.0 );
var options = {
'dtype': 'float32'
};


// FUNCTIONS //
Expand All @@ -49,7 +50,7 @@ var rand = uniform( -100.0, 100.0 );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = filledarrayBy( len, 'float32', rand );
var x = uniform( len, -100, 100, options );
return benchmark;

function benchmark( b ) {
Expand Down
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Expand Up @@ -94,7 +94,7 @@ static float rand_float( void ) {
* @param len array length
* @return elapsed time in seconds
*/
static double benchmark( int iterations, int len ) {
static double benchmark1( int iterations, int len ) {
double elapsed;
float x[ len ];
float v;
Expand All @@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) {
v = 0.0f;
t = tic();
for ( i = 0; i < iterations; i++ ) {
// cppcheck-suppress uninitvar
v = stdlib_strided_sapxsumors( len, 5.0f, x, 1 );
if ( v != v ) {
printf( "should not return NaN\n" );
Expand All @@ -120,6 +121,40 @@ static double benchmark( int iterations, int len ) {
return elapsed;
}

/**
* Runs a benchmark.
*
* @param iterations number of iterations
* @param len array length
* @return elapsed time in seconds
*/
static double benchmark2( int iterations, int len ) {
double elapsed;
float x[ len ];
float v;
double t;
int i;

for ( i = 0; i < len; i++ ) {
x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
}
v = 0.0f;
t = tic();
for ( i = 0; i < iterations; i++ ) {
// cppcheck-suppress uninitvar
v = stdlib_strided_sapxsumors_ndarray( len, 5.0f, x, 1, 0 );
if ( v != v ) {
printf( "should not return NaN\n" );
break;
}
}
elapsed = tic() - t;
if ( v != v ) {
printf( "should not return NaN\n" );
}
return elapsed;
}

/**
* Main execution sequence.
*/
Expand All @@ -142,7 +177,18 @@ int main( void ) {
for ( j = 0; j < REPEATS; j++ ) {
count += 1;
printf( "# c::%s:len=%d\n", NAME, len );
elapsed = benchmark( iter, len );
elapsed = benchmark1( iter, len );
print_results( iter, elapsed );
printf( "ok %d benchmark finished\n", count );
}
}
for ( i = MIN; i <= MAX; i++ ) {
len = pow( 10, i );
iter = ITERATIONS / pow( 10, i-1 );
for ( j = 0; j < REPEATS; j++ ) {
count += 1;
printf( "# c::%s:ndarray:len=%d\n", NAME, len );
elapsed = benchmark2( iter, len );
print_results( iter, elapsed );
printf( "ok %d benchmark finished\n", count );
}
Expand Down
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