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PR-URL: stdlib-js#2365 Ref: stdlib-js#2039 Co-authored-by: Athan Reines <[email protected]> Reviewed-by: Athan Reines <[email protected]>
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<!-- | ||
@license Apache-2.0 | ||
Copyright (c) 2024 The Stdlib Authors. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
--> | ||
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# sgemv | ||
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> Perform one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`. | ||
<section class = "usage"> | ||
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## Usage | ||
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```javascript | ||
var sgemv = require( '@stdlib/blas/base/sgemv' ); | ||
``` | ||
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#### sgemv( ord, trans, M, N, α, A, LDA, x, sx, β, y, sy ) | ||
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Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`, where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix. | ||
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```javascript | ||
var Float32Array = require( '@stdlib/array/float32' ); | ||
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var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
var x = new Float32Array( [ 1.0, 1.0, 1.0 ] ); | ||
var y = new Float32Array( [ 1.0, 1.0 ] ); | ||
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sgemv( 'row-major', 'no-transpose', 2, 3, 1.0, A, 3, x, 1, 1.0, y, 1 ); | ||
// y => <Float32Array>[ 7.0, 16.0 ] | ||
``` | ||
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The function has the following parameters: | ||
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- **ord**: storage layout. | ||
- **trans**: specifies whether `A` should be transposed, conjugate-transposed, or not transposed. | ||
- **M**: number of rows in the matrix `A`. | ||
- **N**: number of columns in the matrix `A`. | ||
- **α**: scalar constant. | ||
- **A**: input matrix stored in linear memory as a [`Float32Array`][mdn-float32array]. | ||
- **lda**: stride of the first dimension of `A` (leading dimension of `A`). | ||
- **x**: input [`Float32Array`][mdn-float32array]. | ||
- **sx**: index increment for `x`. | ||
- **β**: scalar constant. | ||
- **y**: output [`Float32Array`][mdn-float32array]. | ||
- **sy**: index increment for `y`. | ||
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The stride parameters determine how operations are performed. For example, to iterate over every other element in `x` and `y`, | ||
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```javascript | ||
var Float32Array = require( '@stdlib/array/float32' ); | ||
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var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0 ] ); | ||
var x = new Float32Array( [ 1.0, 0.0, 1.0, 0.0 ] ); | ||
var y = new Float32Array( [ 1.0, 0.0, 1.0, 0.0 ] ); | ||
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sgemv( 'row-major', 'no-transpose', 2, 2, 1.0, A, 2, x, 2, 1.0, y, 2 ); | ||
// y => <Float32Array>[ 4.0, 0.0, 8.0, 0.0 ] | ||
``` | ||
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Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. | ||
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<!-- eslint-disable stdlib/capitalized-comments --> | ||
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```javascript | ||
var Float32Array = require( '@stdlib/array/float32' ); | ||
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// Initial arrays... | ||
var x0 = new Float32Array( [ 0.0, 1.0, 1.0 ] ); | ||
var y0 = new Float32Array( [ 0.0, 1.0, 1.0 ] ); | ||
var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
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// Create offset views... | ||
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element | ||
var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element | ||
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sgemv( 'row-major', 'no-transpose', 2, 2, 1.0, A, 2, x1, -1, 1.0, y1, -1 ); | ||
// y0 => <Float32Array>[ 0.0, 8.0, 4.0 ] | ||
``` | ||
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#### sgemv.ndarray( trans, M, N, α, A, sa1, sa2, oa, x, sx, ox, β, y, sy, oy ) | ||
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Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A**T*x + β*y`, using alternative indexing semantics and where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix. | ||
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```javascript | ||
var Float32Array = require( '@stdlib/array/float32' ); | ||
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var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
var x = new Float32Array( [ 1.0, 1.0, 1.0 ] ); | ||
var y = new Float32Array( [ 1.0, 1.0 ] ); | ||
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sgemv.ndarray( 'no-transpose', 2, 3, 1.0, A, 3, 1, 0, x, 1, 0, 1.0, y, 1, 0 ); | ||
// y => <Float32Array>[ 7.0, 16.0 ] | ||
``` | ||
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The function has the following additional parameters: | ||
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- **sa1**: stride of the first dimension of `A`. | ||
- **sa2**: stride of the second dimension of `A`. | ||
- **oa**: starting index for `A`. | ||
- **ox**: starting index for `x`. | ||
- **oy**: starting index for `y`. | ||
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While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, | ||
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```javascript | ||
var Float32Array = require( '@stdlib/array/float32' ); | ||
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var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
var x = new Float32Array( [ 0.0, 1.0, 2.0, 3.0 ] ); | ||
var y = new Float32Array( [ 7.0, 8.0, 9.0, 10.0 ] ); | ||
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sgemv.ndarray( 'no-transpose', 2, 3, 1.0, A, 3, 1, 0, x, 1, 1, 1.0, y, -2, 2 ); | ||
// y => <Float32Array>[ 39, 8, 23, 10 ] | ||
``` | ||
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</section> | ||
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<!-- /.usage --> | ||
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<section class="notes"> | ||
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## Notes | ||
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- `sgemv()` corresponds to the [BLAS][blas] level 2 function [`sgemv`][blas-sgemv]. | ||
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</section> | ||
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<!-- /.notes --> | ||
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<section class="examples"> | ||
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## Examples | ||
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<!-- eslint no-undef: "error" --> | ||
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```javascript | ||
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); | ||
var sgemv = require( '@stdlib/blas/base/sgemv' ); | ||
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var opts = { | ||
'dtype': 'float32' | ||
}; | ||
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var M = 3; | ||
var N = 3; | ||
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var A = discreteUniform( M*N, 0, 255, opts ); | ||
var x = discreteUniform( N, 0, 255, opts ); | ||
var y = discreteUniform( M, 0, 255, opts ); | ||
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sgemv( 'row-major', 'no-transpose', M, N, 1.0, A, N, x, -1, 1.0, y, -1 ); | ||
console.log( y ); | ||
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``` | ||
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</section> | ||
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<!-- /.examples --> | ||
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<!-- C interface documentation. --> | ||
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* * * | ||
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<section class="c"> | ||
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## C APIs | ||
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> | ||
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<section class="intro"> | ||
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</section> | ||
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<!-- /.intro --> | ||
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<!-- C usage documentation. --> | ||
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<section class="usage"> | ||
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### Usage | ||
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```c | ||
#include "stdlib/blas/base/sgemv.h" | ||
``` | ||
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#### TODO | ||
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TODO. | ||
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```c | ||
TODO | ||
``` | ||
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TODO | ||
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```c | ||
TODO | ||
``` | ||
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</section> | ||
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<!-- /.usage --> | ||
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<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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<section class="notes"> | ||
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</section> | ||
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<!-- /.notes --> | ||
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<!-- C API usage examples. --> | ||
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<section class="examples"> | ||
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### Examples | ||
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```c | ||
TODO | ||
``` | ||
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</section> | ||
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<!-- /.examples --> | ||
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</section> | ||
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<!-- /.c --> | ||
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> | ||
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<section class="related"> | ||
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</section> | ||
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<!-- /.related --> | ||
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> | ||
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<section class="links"> | ||
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[blas]: http://www.netlib.org/blas | ||
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[blas-sgemv]: https://www.netlib.org/lapack/explore-html/d7/dda/group__gemv_ga0d35d880b663ad18204bb23bd186e380.html#ga0d35d880b663ad18204bb23bd186e380 | ||
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[mdn-float32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float32Array | ||
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[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray | ||
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</section> | ||
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<!-- /.links --> |
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lib/node_modules/@stdlib/blas/base/sgemv/benchmark/benchmark.js
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/** | ||
* @license Apache-2.0 | ||
* | ||
* Copyright (c) 2018 The Stdlib Authors. | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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'use strict'; | ||
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// MODULES // | ||
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var bench = require( '@stdlib/bench' ); | ||
var uniform = require( '@stdlib/random/array/uniform' ); | ||
var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); | ||
var pow = require( '@stdlib/math/base/special/pow' ); | ||
var floor = require( '@stdlib/math/base/special/floor' ); | ||
var pkg = require( './../package.json' ).name; | ||
var sgemv = require( './../lib/sgemv.js' ); | ||
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// VARIABLES // | ||
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var options = { | ||
'dtype': 'float32' | ||
}; | ||
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// FUNCTIONS // | ||
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/** | ||
* Creates a benchmark function. | ||
* | ||
* @private | ||
* @param {PositiveInteger} N - array dimension size | ||
* @returns {Function} benchmark function | ||
*/ | ||
function createBenchmark( N ) { | ||
var x = uniform( N, -10.0, 10.0, options ); | ||
var y = uniform( N, -10.0, 10.0, options ); | ||
var A = uniform( N*N, -10.0, 10.0, options ); | ||
return benchmark; | ||
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/** | ||
* Benchmark function. | ||
* | ||
* @private | ||
* @param {Benchmark} b - benchmark instance | ||
*/ | ||
function benchmark( b ) { | ||
var z; | ||
var i; | ||
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b.tic(); | ||
for ( i = 0; i < b.iterations; i++ ) { | ||
z = sgemv( 'row-major', 'no-transpose', N, N, 1.0, A, N, x, 1, 1.0, y, 1 ); | ||
if ( isnanf( z[ i%z.length ] ) ) { | ||
b.fail( 'should not return NaN' ); | ||
} | ||
} | ||
b.toc(); | ||
if ( isnanf( z[ i%z.length ] ) ) { | ||
b.fail( 'should not return NaN' ); | ||
} | ||
b.pass( 'benchmark finished' ); | ||
b.end(); | ||
} | ||
} | ||
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// MAIN // | ||
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/** | ||
* Main execution sequence. | ||
* | ||
* @private | ||
*/ | ||
function main() { | ||
var len; | ||
var min; | ||
var max; | ||
var f; | ||
var i; | ||
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min = 1; // 10^min | ||
max = 6; // 10^max | ||
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for ( i = min; i <= max; i++ ) { | ||
len = floor( pow( pow( 10, i ), 1.0/2.0 ) ); | ||
f = createBenchmark( len ); | ||
bench( pkg+':size='+(len*len), f ); | ||
} | ||
} | ||
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main(); |
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