@stdlib/ndarray-base-quinary-tiling-block-size
v0.1.1
Published
Resolve a loop block size for multi-dimensional array tiled loops.
Readme
quinaryBlockSize
Resolve a loop block size for multi-dimensional array tiled loops.
Installation
npm install @stdlib/ndarray-base-quinary-tiling-block-sizeUsage
var quinaryBlockSize = require( '@stdlib/ndarray-base-quinary-tiling-block-size' );quinaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW, dtypeU, dtypeV )
Resolves a loop block size according to provided ndarray dtypes for multi-dimensional array tiled loops applying a quinary function.
var bsize = quinaryBlockSize( 'float64', 'float64', 'float64', 'float64', 'float64', 'float64' );
// returns <number>The function supports the following arguments:
- dtypeX: first input array data type.
- dtypeY: second input array data type.
- dtypeZ: third input array data type.
- dtypeW: fourth input array data type.
- dtypeU: fifth input array data type.
- dtypeV: output array data type.
Notes
- The returned loop tiling block size is in units of elements.
Examples
var dtypes = require( '@stdlib/ndarray-dtypes' );
var cartesianPower = require( '@stdlib/array-base-cartesian-power' );
var promoteDataTypes = require( '@stdlib/ndarray-base-promote-dtypes' );
var quinaryBlockSize = require( '@stdlib/ndarray-base-quinary-tiling-block-size' );
// Generate a list of input ndarray dtype quintuplets:
var dt = cartesianPower( dtypes(), 5 );
// Resolve the block size for each dtype quintuplet and its promoted dtype...
var t;
var b;
var i;
console.log( 'block_size, xdtype, ydtype, zdtype, wdtype, udtype, vdtype' );
for ( i = 0; i < dt.length; i++ ) {
t = promoteDataTypes( dt[ i ] );
dt[ i ].push( ( t === null ) ? 'generic' : t );
b = quinaryBlockSize.apply( null, dt[ i ] );
console.log( '%d, %s, %s, %s, %s, %s, %s', b, dt[i][0], dt[i][1], dt[i][2], dt[i][3], dt[i][4], dt[i][5] );
}Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
