deepnetts.util

Class Tensors

java.lang.Object

deepnetts.util.Tensors

public class Tensors
extends Object

Static utility methods for tensors.

Author:

Zoran Sevarac

Method Summary

Modifier and Type	Method and Description
static float[]	absMax(float[] arr, float[] max) Returns array with max values for each position in the given input vectors.
static Tensor	absMax(Tensor t, Tensor max) Returns tensors with max value for each component of input tensors.
static float[]	absMin(float[] arr, float[] min)
static Tensor	absMin(Tensor t, Tensor min)
static void	add(float[] array1, float[] array2) Adds given vector and store result in first.
static void	copy(float[] src, float[] dest)
static void	copy(Tensor src, Tensor dest)
static float[]	copyOf(float[] arr)
static void	div(float[] array, float val)
static void	div(float[] array, float[] divisor)
static void	fillFourthDim(Tensor deltaWeights, int fourthIdx, float val)
static void	max(Tensor t1, Tensor t2, Tensor result)
static void	min(Tensor t1, Tensor t2, Tensor result)
static void	multiply(float[] arr1, float[] arr2)
static Tensor	ones(int cols)
static Tensor	random(int size)
static Tensor	random(int rows, int cols) Generate and return random tensor with specified number of rows and cols.
static Tensor	random(int rows, int cols, int depth)
static Tensor	random(int rows, int cols, int depth, int fourthDim)
static void	sub(float[] arr, float val)
static void	sub(float[] array1, float[] array2)
static Tensor	zeros(int cols)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

copyOf

public static float[] copyOf(float[] arr)

copy

public static final void copy(Tensor src,
                              Tensor dest)

copy

public static final void copy(float[] src,
                              float[] dest)

sub

public static void sub(float[] arr,
                       float val)

multiply

public static void multiply(float[] arr1,
                            float[] arr2)

fillFourthDim

public static void fillFourthDim(Tensor deltaWeights,
                                 int fourthIdx,
                                 float val)

absMax

public static Tensor absMax(Tensor t,
                            Tensor max)

Returns tensors with max value for each component of input tensors.

Parameters:

t -

max - proposed max tensor

Returns:

tensor with max value for each component

absMax

public static float[] absMax(float[] arr,
                             float[] max)

Returns array with max values for each position in the given input vectors. Stores max values in second parameter.

Parameters:

arr -

max -

Returns:

absMin

public static Tensor absMin(Tensor t,
                            Tensor min)

absMin

public static float[] absMin(float[] arr,
                             float[] min)

div

public static void div(float[] array,
                       float val)

div

public static void div(float[] array,
                       float[] divisor)

sub

public static final void sub(float[] array1,
                             float[] array2)

add

public static final void add(float[] array1,
                             float[] array2)

Adds given vector and store result in first.

Parameters:

array1 -

array2 -

zeros

public static Tensor zeros(int cols)

ones

public static Tensor ones(int cols)

random

public static Tensor random(int size)

random

public static Tensor random(int rows,
                            int cols)

Generate and return random tensor with specified number of rows and cols.

Parameters:

rows -

cols -

Returns:

random

public static Tensor random(int rows,
                            int cols,
                            int depth)

random

public static Tensor random(int rows,
                            int cols,
                            int depth,
                            int fourthDim)

min

public static void min(Tensor t1,
                       Tensor t2,
                       Tensor result)

max

public static void max(Tensor t1,
                       Tensor t2,
                       Tensor result)