Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/
'use strict';
// MODULES //
var kernel2d = require( './2d.js' );
var kernel3d = require( './3d.js' );
// VARIABLES //
var KERNELS = [
kernel2d,
kernel3d
];
var MAX_DIMS = KERNELS.length + 1;
// MAIN //
/**
* Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
*
* @param {integer} ndims - number of loop dimensions
* @returns {(Function|null)} kernel function or null
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var zeros = require( '@stdlib/array/base/zeros' );
* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
*
* function clbk( value, idx ) {
* return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
* }
*
* // Create a data buffer:
* var xbuf = new Float64Array( 12 );
*
* // Define the array shape:
* var xsh = [ 1, 3, 2, 2 ];
*
* // Define the array strides:
* var sx = [ 12, 4, 2, 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create an input ndarray descriptor:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': xsh,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
*
* // Create an ndarray descriptor for the starting index (inclusive):
* var start = {
* 'dtype': 'float64',
* 'data': new Float64Array( [ 0.0 ] ),
* 'shape': [ 1, 3 ],
* 'strides': [ 0, 0 ],
* 'offset': 0,
* 'order': 'row-major'
* };
*
* // Create an ndarray descriptor for the ending index (exclusive):
* var end = {
* 'dtype': 'float64',
* 'data': new Float64Array( [ 4.0 ] ),
* 'shape': [ 1, 3 ],
* 'strides': [ 0, 0 ],
* 'offset': 0,
* 'order': 'row-major'
* };
*
* // Initialize ndarray descriptors representing subarray views:
* var views = [
* {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 2, 2 ],
* 'strides': [ 2, 1 ],
* 'offset': x.offset,
* 'order': x.order
* },
* {
* 'dtype': start.dtype,
* 'data': start.data,
* 'shape': [],
* 'strides': [ 0 ],
* 'offset': start.offset,
* 'order': start.order
* },
* {
* 'dtype': end.dtype,
* 'data': end.data,
* 'shape': [],
* 'strides': [ 0 ],
* 'offset': end.offset,
* 'order': end.order
* }
* ];
*
* // Resolve an input strategy when iterating over subarray views:
* var strategyX = strategy( views[ 0 ] );
*
* // Create a workspace array for storing iteration indices:
* var ibuf = zeros( xsh.length );
*
* // Define the loop and core dimensions:
* var ldims = [ 0, 1 ];
* var cdims = [ 2, 3 ];
*
* // Resolve a kernel:
* var f = kernel( 2 );
*
* // Apply strided function:
* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
*
* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
*/
function kernel( ndims ) {
if ( ndims < 2 || ndims > MAX_DIMS ) {
return null;
}
return KERNELS[ ndims-2 ];
}
// EXPORTS //
module.exports = kernel;
|