@@ -11,7 +11,7 @@ public static void main(String[] args) {
1111 Util .info ();
1212
1313 System .out .println ("Create a 5-by-3 matrix of random floats on the GPU" );
14- Data .randu (a , new int [] { 5 , 3 }, Array .FloatType );
14+ Data .randu (a , new int [] { 5 , 3 }, Array .Type . Float );
1515 System .out .println (a .toString ("a" ));
1616
1717 System .out .println ("Element-wise arithmetic" );
@@ -29,8 +29,8 @@ public static void main(String[] args) {
2929 System .out .println ("Calculate weighted variance." );
3030 Array forVar = new Array ();
3131 Array weights = new Array ();
32- Data .randn (forVar , new int [] { 5 , 5 }, Array .DoubleType );
33- Data .randn (weights , new int [] { 5 , 5 }, Array .DoubleType );
32+ Data .randn (forVar , new int [] { 5 , 5 }, Array .Type . Double );
33+ Data .randn (weights , new int [] { 5 , 5 }, Array .Type . Double );
3434 System .out .println (forVar .toString ("forVar" ));
3535
3636 double abc = Statistics .var (forVar , weights , Double .class );
@@ -40,15 +40,15 @@ public static void main(String[] args) {
4040
4141 System .out .println ("Median" );
4242 Array forMedian = new Array ();
43- Data .randu (forMedian , new int [] { 3 , 5 }, Array .DoubleType );
43+ Data .randu (forMedian , new int [] { 3 , 5 }, Array .Type . Double );
4444 System .out .println (forMedian .toString ("forMedian" ));
4545 double median = Statistics .median (forMedian , Double .class );
4646 System .out .printf ("Median = %f\n " , median );
4747 forMedian .close ();
4848
4949 System .out .println ("Calculate standard deviation" );
5050 Array forStdev = new Array ();
51- Data .randu (forStdev , new int [] { 5 , 3 }, Array .DoubleType );
51+ Data .randu (forStdev , new int [] { 5 , 3 }, Array .Type . Double );
5252 System .out .println (forStdev .toString ("forStdev" ));
5353 double stdev = Statistics .stdev (forStdev , Double .class );
5454 System .out .println (String .format ("Stdev is: %f" , stdev ));
@@ -57,8 +57,8 @@ public static void main(String[] args) {
5757 System .out .println ("Covariance" );
5858 Array x = new Array ();
5959 Array z = new Array ();
60- Data .randu (x , new int [] { 5 , 3 }, Array .DoubleType );
61- Data .randu (z , new int [] { 5 , 3 }, Array .DoubleType );
60+ Data .randu (x , new int [] { 5 , 3 }, Array .Type . Double );
61+ Data .randu (z , new int [] { 5 , 3 }, Array .Type . Double );
6262 System .out .println (x .toString ("x" ));
6363 System .out .println (z .toString ("z" ));
6464 Array cov = Statistics .cov (x , z , false );
@@ -72,7 +72,7 @@ public static void main(String[] args) {
7272
7373 System .out .println ("Topk" );
7474 Array forTopk = new Array ();
75- Data .randu (forTopk , new int [] { 3 , 3 }, Array .DoubleType );
75+ Data .randu (forTopk , new int [] { 3 , 3 }, Array .Type . Double );
7676 System .out .println (forTopk .toString ("forTopk" ));
7777 Array [] results = Statistics .topk (forTopk , 3 , 0 , Statistics .TopkOrder .DEFAULT );
7878 System .out .println (results [0 ].toString ("Indicies" ));
@@ -96,7 +96,7 @@ public static void main(String[] args) {
9696
9797 System .out .println ("Add e and random array" );
9898 Array randa = new Array ();
99- Data .randu (randa , dims , Array .FloatType );
99+ Data .randu (randa , dims , Array .Type . Float );
100100 Arith .add (f , e , randa );
101101 System .out .println (f .toString ("f" ));
102102
0 commit comments