-
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path5d.js
202 lines (188 loc) · 5.56 KB
/
5d.js
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
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
/**
* @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.
*/
'use strict';
// MODULES //
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' );
// MAIN //
/**
* 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 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 = 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 = filled( false, 3 );
*
* // Define the array shapes:
* var xsh = [ 1, 1, 1, 1, 3, 2, 2 ];
* var ysh = [ 1, 1, 1, 1, 3 ];
*
* // Define the array strides:
* var sx = [ 12, 12, 12, 12, 4, 2, 1 ];
* var sy = [ 3, 3, 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'
* };
*
* // Create an output ndarray-like object:
* var y = {
* 'dtype': 'generic',
* 'data': ybuf,
* 'shape': ysh,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
*
* // 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:
* unary5d( base, [ x, y ], views, [ 12, 12, 12, 12, 4 ], {} );
*
* var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order );
* // returns [ [ [ [ [ true, false, true ] ] ] ] ]
*/
function unary5d( fcn, arrays, views, strides, opts ) {
var ybuf;
var dv0;
var dv1;
var dv2;
var dv3;
var dv4;
var sh;
var S0;
var S1;
var S2;
var S3;
var S4;
var sv;
var iv;
var i0;
var i1;
var i2;
var i3;
var i4;
var y;
var i;
// Note on variable naming convention: S#, dv#, i# where # corresponds to the loop number, with `0` being the innermost loop...
// Resolve the output ndarray and associated shape:
y = arrays[ 1 ];
sh = y.shape;
// 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[ 4 ];
S1 = sh[ 3 ];
S2 = sh[ 2 ];
S3 = sh[ 1 ];
S4 = sh[ 0 ];
dv0 = [ strides[4] ]; // offset increment for innermost loop
dv1 = [ strides[3] - ( S0*strides[4] ) ];
dv2 = [ strides[2] - ( S1*strides[3] ) ];
dv3 = [ strides[1] - ( S2*strides[2] ) ];
dv4 = [ strides[0] - ( S3*strides[1] ) ]; // offset increment for outermost loop
for ( i = 1; i < arrays.length; i++ ) {
sv = arrays[ i ].strides;
dv0.push( sv[4] );
dv1.push( sv[3] - ( S0*sv[4] ) );
dv2.push( sv[2] - ( S1*sv[3] ) );
dv3.push( sv[1] - ( S2*sv[2] ) );
dv4.push( sv[0] - ( S3*sv[1] ) );
}
} else { // order === 'column-major'
// For column-major ndarrays, the first dimensions have the fastest changing indices...
S0 = sh[ 0 ];
S1 = sh[ 1 ];
S2 = sh[ 2 ];
S3 = sh[ 3 ];
S4 = sh[ 4 ];
dv0 = [ strides[0] ]; // offset increment for innermost loop
dv1 = [ strides[1] - ( S0*strides[0] ) ];
dv2 = [ strides[2] - ( S1*strides[1] ) ];
dv3 = [ strides[3] - ( S2*strides[2] ) ];
dv4 = [ strides[4] - ( S3*strides[3] ) ]; // offset increment for outermost loop
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] ) );
dv3.push( sv[3] - ( S2*sv[2] ) );
dv4.push( sv[4] - ( S3*sv[3] ) );
}
}
// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
iv = offsets( arrays );
// Cache a reference to the output ndarray buffer:
ybuf = y.data;
// Iterate over the non-reduced ndarray dimensions...
for ( i4 = 0; i4 < S4; i4++ ) {
for ( i3 = 0; i3 < S3; i3++ ) {
for ( i2 = 0; i2 < S2; i2++ ) {
for ( i1 = 0; i1 < S1; i1++ ) {
for ( i0 = 0; i0 < S0; i0++ ) {
setViewOffsets( views, iv );
ybuf[ iv[1] ] = fcn( views, opts );
incrementOffsets( iv, dv0 );
}
incrementOffsets( iv, dv1 );
}
incrementOffsets( iv, dv2 );
}
incrementOffsets( iv, dv3 );
}
incrementOffsets( iv, dv4 );
}
}
// EXPORTS //
module.exports = unary5d;