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feat: add missing kernels to ndarray/base/unary-reduce-subarray
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kgryte
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headlessNode:unary-reduction-kernels
Apr 1, 2025
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a7b4c7f
feat: add missing 3d kernels
headlessNode 2578b25
fix: apply suggestions from code review
headlessNode bc112f4
fix: apply suggestions from code review
headlessNode 4e3f79f
fix: apply suggestions from code review
headlessNode 486a493
fix: apply suggestions from code review
headlessNode 5695176
fix: offset increment calc
headlessNode 986f148
fix: offset increment calc
headlessNode ad39d00
feat: add 4d kernels
headlessNode 535655b
feat: add 5d kernels
headlessNode 3891468
feat: add 6d kernels
headlessNode f9796ac
feat: add 7d kernels
headlessNode 9e295e4
feat: add 8d kernels
headlessNode c83c77b
feat: add 9d kernels
headlessNode 721f20c
feat: add 10d kernels
headlessNode 989bb30
chore: cleanup
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186 changes: 186 additions & 0 deletions
186
lib/node_modules/@stdlib/ndarray/base/unary-reduce-subarray/lib/3d_accessors.js
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/** | ||
* @license Apache-2.0 | ||
* | ||
* Copyright (c) 2025 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 isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' ); | ||
var incrementOffsets = require( './increment_offsets.js' ); | ||
var setViewOffsets = require( './set_view_offsets.js' ); | ||
var offsets = require( './offsets.js' ); | ||
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// MAIN // | ||
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/** | ||
* Performs a reduction over an input ndarray and assigns results to a provided output ndarray. | ||
* | ||
* @private | ||
* @param {Function} fcn - reduction function | ||
* @param {Array<Object>} arrays - ndarrays | ||
* @param {Array<Object>} views - initialized ndarray-like objects representing sub-array views | ||
* @param {IntegerArray} strides - loop dimension strides for the input ndarray | ||
* @param {Options} opts - function options | ||
* @returns {void} | ||
* | ||
* @example | ||
* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' ); | ||
* var accessors = require( '@stdlib/array/base/accessors' ); | ||
* var Float64Array = require( '@stdlib/array/float64' ); | ||
* var filled = require( '@stdlib/array/base/filled' ); | ||
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); | ||
* var base = require( '@stdlib/ndarray/base/every' ); | ||
* | ||
* // Create data buffers: | ||
* var xbuf = toAccessorArray( new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ) ); | ||
* var ybuf = toAccessorArray( filled( false, 3 ) ); | ||
* | ||
* // Define the array shapes: | ||
* var xsh = [ 1, 1, 3, 2, 2 ]; | ||
* var ysh = [ 1, 1, 3 ]; | ||
* | ||
* // Define the array strides: | ||
* var sx = [ 12, 12, 4, 2, 1 ]; | ||
* var sy = [ 3, 3, 1 ]; | ||
* | ||
* // Define the index offsets: | ||
* var ox = 0; | ||
* var oy = 0; | ||
* | ||
* // Create an input ndarray-like object: | ||
* var x = { | ||
* 'dtype': 'float64', | ||
* 'data': xbuf, | ||
* 'shape': xsh, | ||
* 'strides': sx, | ||
* 'offset': ox, | ||
* 'order': 'row-major', | ||
* 'accessors': accessors( xbuf ).accessors | ||
* }; | ||
* | ||
* // Create an output ndarray-like object: | ||
* var y = { | ||
* 'dtype': 'generic', | ||
* 'data': ybuf, | ||
* 'shape': ysh, | ||
* 'strides': sy, | ||
* 'offset': oy, | ||
* 'order': 'row-major', | ||
* 'accessors': accessors( ybuf ).accessors | ||
* }; | ||
* | ||
* // Initialize ndarray-like objects representing sub-array views: | ||
* var views = [ | ||
* { | ||
* 'dtype': x.dtype, | ||
* 'data': x.data, | ||
* 'shape': [ 2, 2 ], | ||
* 'strides': [ 2, 1 ], | ||
* 'offset': x.offset, | ||
* 'order': x.order | ||
* } | ||
* ]; | ||
* | ||
* // Perform a reduction: | ||
* unary3d( base, [ x, y ], views, [ 12, 12, 4 ], {} ); | ||
* | ||
* var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ); | ||
* // returns [ [ [ true, false, true ] ] ] | ||
*/ | ||
function unary3d( fcn, arrays, views, strides, opts ) { | ||
var ybuf; | ||
var set; | ||
var dv0; | ||
var dv1; | ||
var dv2; | ||
var sh; | ||
var S0; | ||
var S1; | ||
var S2; | ||
var sv; | ||
var iv; | ||
var i0; | ||
var i1; | ||
var i2; | ||
var y; | ||
var i; | ||
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// Note on variable naming convention: S#, dv#, i# where # corresponds to the loop number, with `0` being the innermost loop... | ||
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// Resolve the output ndarray and associated shape: | ||
y = arrays[ 1 ]; | ||
sh = y.shape; | ||
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// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments... | ||
if ( isRowMajor( y.order ) ) { | ||
// For row-major ndarrays, the last dimensions have the fastest changing indices... | ||
S0 = sh[ 2 ]; | ||
S1 = sh[ 1 ]; | ||
S2 = sh[ 0 ]; | ||
dv0 = [ strides[2] ]; | ||
dv1 = [ strides[1] - ( S0*strides[2] ) ]; | ||
dv2 = [ strides[0] - ( S1*strides[1] ) - ( S0*strides[2] ) ]; | ||
for ( i = 1; i < arrays.length; i++ ) { | ||
sv = arrays[ i ].strides; | ||
dv0.push( sv[2] ); | ||
dv1.push( sv[1] - ( S0*sv[2] ) ); | ||
dv2.push( sv[0] - ( S1*sv[1] ) - ( S0*sv[2] ) ); | ||
} | ||
} else { | ||
// For column-major ndarrays, the first dimensions have the fastest changing indices... | ||
S0 = sh[ 0 ]; | ||
S1 = sh[ 1 ]; | ||
S2 = sh[ 2 ]; | ||
dv0 = [ strides[0] ]; | ||
dv1 = [ strides[1] - ( S0*strides[0] ) ]; | ||
dv2 = [ strides[2] - ( S1*strides[1] ) - ( S0*strides[2] ) ]; | ||
for ( i = 1; i < arrays.length; i++ ) { | ||
sv = arrays[ i ].strides; | ||
dv0.push( sv[0] ); | ||
dv1.push( sv[1] - ( S0*sv[0] ) ); | ||
dv2.push( sv[2] - ( S1*sv[1] ) - ( S0*sv[2] ) ); | ||
} | ||
} | ||
// Resolve a list of pointers to the first indexed elements in the respective ndarrays: | ||
iv = offsets( arrays ); | ||
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// Cache a reference to the output ndarray buffer: | ||
ybuf = y.data; | ||
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// Cache accessors: | ||
set = y.accessors[ 1 ]; | ||
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// Iterate over the non-reduced ndarray dimensions... | ||
for ( i2 = 0; i2 < S2; i2++ ) { | ||
for ( i1 = 0; i1 < S1; i1++ ) { | ||
for ( i0 = 0; i0 < S0; i0++ ) { | ||
setViewOffsets( views, iv ); | ||
set( ybuf, iv[ 1 ], fcn( views, opts ) ); | ||
incrementOffsets( iv, dv0 ); | ||
} | ||
incrementOffsets( iv, dv1 ); | ||
} | ||
incrementOffsets( iv, dv2 ); | ||
} | ||
} | ||
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// EXPORTS // | ||
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module.exports = unary3d; |
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