org.nd4j.linalg.cpu.nativecpu

Class NDArray

java.lang.Object

org.nd4j.linalg.api.ndarray.BaseNDArray

org.nd4j.linalg.cpu.nativecpu.NDArray

All Implemented Interfaces:

Serializable, Iterable, INDArray

public class NDArray
extends BaseNDArray

NDArray: (think numpy)

A few things of note.

An NDArray can have any number of dimensions.

An NDArray is accessed via strides.

Strides are how to index over a contiguous block of data.

This block of data has 2 orders(as of right now): fortran and c

Author:

Adam Gibson

See Also:

Serialized Form

Field Summary

Fields inherited from class org.nd4j.linalg.api.ndarray.BaseNDArray

attemptedToFindElementWiseStride, cleanedUp, columns, data, isMatrix, isScalar, isVector, isWrapAround, length, linearStride, log, numLeadingOnes, numTrailingOnes, rank, rows, shape, shapeInformation, stride

Constructor Summary

Constructors

Constructor and Description
NDArray()
NDArray(DataBuffer buffer)
NDArray(DataBuffer data, int[] shape)
NDArray(DataBuffer buffer, int[] shape, char ordering)
NDArray(DataBuffer buffer, int[] shape, int offset)
NDArray(DataBuffer buffer, int[] shape, int[] strides)
NDArray(DataBuffer data, int[] shape, int[] stride, int offset)
NDArray(DataBuffer buffer, int[] shape, int[] stride, int offset, char ordering)
NDArray(double[][] data)
NDArray(double[][] data, char ordering)
NDArray(double[] data, int[] shape, char ordering)
NDArray(double[] data, int[] shape, int[] stride, int offset)
NDArray(double[] data, int[] shape, int[] stride, int offset, char ordering)
NDArray(DoubleBuffer buffer, int[] shape, char ordering)
NDArray(DoubleBuffer buffer, int[] shape, int offset)
NDArray(float[] data)
NDArray(float[][] floats)
NDArray(float[][] data, char ordering)
NDArray(float[] data, char order)
NDArray(float[] data, int[] shape) Create this ndarray with the given data and shape and 0 offset
NDArray(float[] data, int[] shape, char ordering) Create this ndarray with the given data and shape and 0 offset
NDArray(float[] data, int[] shape, int offset)
NDArray(float[] data, int[] shape, int[] stride)
NDArray(float[] data, int[] shape, int[] stride, char ordering)
NDArray(float[] data, int[] shape, int[] stride, int offset)
NDArray(float[] data, int[] shape, int[] stride, int offset, char ordering)
NDArray(float[] data, int[] shape, int offset, char ordering)
NDArray(FloatBuffer floatBuffer, char order)
NDArray(int[] shape)
NDArray(int[] shape, char ordering)
NDArray(int[] shape, DataBuffer buffer)
NDArray(int[] shape, int offset)
NDArray(int[] shape, int[] stride) Create the ndarray with the specified shape and stride and an offset of 0
NDArray(int[] shape, int[] stride, char ordering) Create the ndarray with the specified shape and stride and an offset of 0
NDArray(int[] shape, int[] stride, int offset) Construct an ndarray of the specified shape with an empty data array
NDArray(int[] data, int[] shape, int[] strides)
NDArray(int[] shape, int[] stride, int offset, char ordering) Construct an ndarray of the specified shape with an empty data array
NDArray(int[] shape, int[] stride, int offset, char ordering, boolean initialize) Construct an ndarray of the specified shape, with optional initialization
NDArray(int[] shape, int offset, char ordering)
NDArray(int newRows, int newColumns) Creates a new n times m DoubleMatrix.
NDArray(int newRows, int newColumns, char ordering) Creates a new n times m DoubleMatrix.
NDArray(List<INDArray> slices, int[] shape) Create an ndarray from the specified slices.
NDArray(List<INDArray> slices, int[] shape, char ordering) Create an ndarray from the specified slices.
NDArray(List<INDArray> slices, int[] shape, int[] stride) Create an ndarray from the specified slices.
NDArray(List<INDArray> slices, int[] shape, int[] stride, char ordering) Create an ndarray from the specified slices.

Method Summary

Methods inherited from class org.nd4j.linalg.api.ndarray.BaseNDArray

add, add, add, add, add, add, addColumnVector, addi, addi, addi, addi, addi, addi, addiColumnVector, addiRowVector, addRowVector, assertColumnVector, assertRowVector, assertSlice, assign, assign, broadcast, checkArrangeArray, checkDimensions, cleanup, columns, cond, condi, copyRealTo, create, create, create, create, create, create, create, create, create, create, createScalar, createScalarForIndex, cumsum, cumsumi, data, dimShuffle, distance1, distance2, div, div, div, div, div, div, divColumnVector, divi, divi, divi, divi, divi, divi, diviColumnVector, diviRowVector, divRowVector, doColumnWise, doPermuteSwap, doPermuteSwap, doRowWise, dup, dup, element, elementStride, elementWiseStride, eps, eps, epsi, epsi, eq, eq, eqi, eqi, equals, get, getColumn, getColumns, getDouble, getDouble, getDouble, getDoubleUnsafe, getFloat, getFloat, getFloat, getInt, getLeadingOnes, getRow, getRows, getScalar, getScalar, getScalar, getStrides, getTrailingOnes, gt, gt, gti, gti, index, init, innerMostStride, isCleanedUp, isColumnVector, isMatrix, isRowVector, isScalar, isSquare, isValid, isVector, isView, isWrapAround, iterator, length, lengthLong, linearIndex, linearView, linearViewColumnOrder, lt, lt, lti, lti, majorStride, max, maxComplex, maxNumber, mean, meanComplex, meanNumber, min, minComplex, minNumber, mmul, mmul, mmuli, mmuli, mul, mul, mul, mul, mul, mul, mulColumnVector, muli, muli, muli, muli, muli, muli, muliColumnVector, muliRowVector, mulRowVector, neg, negi, neq, neq, neqi, neqi, newShape, norm1, norm1Complex, norm1Number, norm2, norm2Complex, norm2Number, normmax, normmaxComplex, normmaxNumber, offset, ordering, originalOffset, permute, permutei, prod, prodComplex, prodNumber, put, put, put, put, put, put, putColumn, putRow, putScalar, putScalar, putScalar, putScalar, putScalar, putScalar, putScalar, putScalar, putScalar, putScalarUnsafe, putSlice, rank, ravel, ravel, rdiv, rdiv, rdiv, rdiv, rdiv, rdiv, rdivColumnVector, rdivi, rdivi, rdivi, rdivi, rdivi, rdivi, rdiviColumnVector, rdiviRowVector, rdivRowVector, read, repeat, repeat, repmat, resetLinearView, reshape, reshape, reshape, reshape, rows, rsub, rsub, rsub, rsub, rsub, rsub, rsubColumnVector, rsubi, rsubi, rsubi, rsubi, rsubi, rsubi, rsubiColumnVector, rsubiRowVector, rsubRowVector, secondaryStride, setData, setOrder, setShape, setStride, setWrapAround, shape, shapeInfo, shapeInfoDataBuffer, shapeInfoToString, shapeOf, size, slice, slice, slices, sliceVectors, squaredDistance, std, std, stdComplex, stdNumber, stdNumber, stride, stride, strideOf, sub, sub, sub, sub, sub, sub, subArray, subArray, subColumnVector, subi, subi, subi, subi, subi, subi, subiColumnVector, subiRowVector, subRowVector, sum, sumComplex, sumNumber, swapAxes, tensorAlongDimension, tensorssAlongDimension, toString, transpose, transposei, var, var, varComplex, varNumber, vectorAlongDimension, vectorsAlongDimension, write

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

NDArray

public NDArray()

NDArray

public NDArray(DataBuffer buffer)

NDArray

public NDArray(DataBuffer buffer,
               int[] shape,
               int[] stride,
               int offset,
               char ordering)

NDArray

public NDArray(double[][] data)

NDArray

public NDArray(double[][] data,
               char ordering)

NDArray

public NDArray(float[] data,
               int[] shape,
               char ordering)

Create this ndarray with the given data and shape and 0 offset

Parameters:

data - the data to use

shape - the shape of the ndarray

ordering -

NDArray

public NDArray(float[] data,
               int[] shape,
               int offset,
               char ordering)

Parameters:

data - the data to use

shape - the shape of the ndarray

offset - the desired offset

ordering - the ordering of the ndarray

NDArray

public NDArray(int[] shape,
               int[] stride,
               int offset,
               char ordering)

Construct an ndarray of the specified shape with an empty data array

Parameters:

shape - the shape of the ndarray

stride - the stride of the ndarray

offset - the desired offset

ordering - the ordering of the ndarray

NDArray

public NDArray(int[] shape,
               int[] stride,
               int offset,
               char ordering,
               boolean initialize)

Construct an ndarray of the specified shape, with optional initialization

Parameters:

shape - the shape of the ndarray

stride - the stride of the ndarray

offset - the desired offset

ordering - the ordering of the ndarray

initialize - Whether to initialize the INDArray. If true: initialize. If false: don't.

NDArray

public NDArray(int[] shape,
               int[] stride,
               char ordering)

Create the ndarray with the specified shape and stride and an offset of 0

Parameters:

shape - the shape of the ndarray

stride - the stride of the ndarray

ordering - the ordering of the ndarray

NDArray

public NDArray(int[] shape,
               int offset,
               char ordering)

NDArray

public NDArray(int[] shape)

NDArray

public NDArray(int newRows,
               int newColumns,
               char ordering)

Creates a new n times m DoubleMatrix.

Parameters:

newRows - the number of rows (n) of the new matrix.

newColumns - the number of columns (m) of the new matrix.

ordering -

NDArray

public NDArray(List<INDArray> slices,
               int[] shape,
               char ordering)

Create an ndarray from the specified slices. This will go through and merge all of the data from each slice in to one ndarray which will then take the specified shape

Parameters:

slices - the slices to merge

shape - the shape of the ndarray

ordering -

NDArray

public NDArray(List<INDArray> slices,
               int[] shape,
               int[] stride,
               char ordering)

Create an ndarray from the specified slices. This will go through and merge all of the data from each slice in to one ndarray which will then take the specified shape

Parameters:

slices - the slices to merge

shape - the shape of the ndarray

stride -

ordering -

NDArray

public NDArray(float[] data,
               int[] shape,
               int[] stride,
               char ordering)

NDArray

public NDArray(float[] data,
               int[] shape,
               int[] stride,
               int offset,
               char ordering)

NDArray

public NDArray(float[] data,
               int[] shape)

Create this ndarray with the given data and shape and 0 offset

Parameters:

data - the data to use

shape - the shape of the ndarray

NDArray

public NDArray(float[] data,
               int[] shape,
               int offset)

NDArray

public NDArray(int[] shape,
               int[] stride,
               int offset)

Construct an ndarray of the specified shape with an empty data array

Parameters:

shape - the shape of the ndarray

stride - the stride of the ndarray

offset - the desired offset

NDArray

public NDArray(int[] shape,
               int[] stride)

Create the ndarray with the specified shape and stride and an offset of 0

Parameters:

shape - the shape of the ndarray

stride - the stride of the ndarray

NDArray

public NDArray(int[] shape,
               int offset)

NDArray

public NDArray(int[] shape,
               char ordering)

NDArray

public NDArray(int newRows,
               int newColumns)

Creates a new n times m DoubleMatrix.

Parameters:

newRows - the number of rows (n) of the new matrix.

newColumns - the number of columns (m) of the new matrix.

NDArray

public NDArray(List<INDArray> slices,
               int[] shape)

Create an ndarray from the specified slices. This will go through and merge all of the data from each slice in to one ndarray which will then take the specified shape

Parameters:

slices - the slices to merge

shape - the shape of the ndarray

NDArray

public NDArray(List<INDArray> slices,
               int[] shape,
               int[] stride)

Create an ndarray from the specified slices. This will go through and merge all of the data from each slice in to one ndarray which will then take the specified shape

Parameters:

slices - the slices to merge

shape - the shape of the ndarray

stride -

NDArray

public NDArray(float[] data,
               int[] shape,
               int[] stride)

NDArray

public NDArray(float[] data,
               int[] shape,
               int[] stride,
               int offset)

NDArray

public NDArray(float[] data)

NDArray

public NDArray(double[] data,
               int[] shape,
               int[] stride,
               int offset)

NDArray

public NDArray(float[][] floats)

NDArray

public NDArray(float[][] data,
               char ordering)

NDArray

public NDArray(DataBuffer data,
               int[] shape,
               int[] stride,
               int offset)

NDArray

public NDArray(int[] data,
               int[] shape,
               int[] strides)

NDArray

public NDArray(DataBuffer data,
               int[] shape)

NDArray

public NDArray(DataBuffer buffer,
               int[] shape,
               int offset)

NDArray

public NDArray(DataBuffer buffer,
               int[] shape,
               char ordering)

NDArray

public NDArray(double[] data,
               int[] shape,
               char ordering)

NDArray

public NDArray(double[] data,
               int[] shape,
               int[] stride,
               int offset,
               char ordering)

NDArray

public NDArray(float[] data,
               char order)

NDArray

public NDArray(FloatBuffer floatBuffer,
               char order)

NDArray

public NDArray(DataBuffer buffer,
               int[] shape,
               int[] strides)

NDArray

public NDArray(DoubleBuffer buffer,
               int[] shape,
               char ordering)

NDArray

public NDArray(DoubleBuffer buffer,
               int[] shape,
               int offset)

NDArray

public NDArray(int[] shape,
               DataBuffer buffer)