public class JCublasNDArray extends BaseNDArray
attemptedToFindElementWiseStride, cleanedUp, columns, data, elementWiseStride, firstNonOneStride, isScalar, isVector, isWrapAround, length, linearStride, linearView, log, majorStride, numLeadingOnes, numTrailingOnes, offset, ordering, ref, rows, shape, stride| Constructor and Description |
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JCublasNDArray() |
JCublasNDArray(DataBuffer buffer) |
JCublasNDArray(DataBuffer data,
int[] shape) |
JCublasNDArray(DataBuffer buffer,
int[] shape,
int offset) |
JCublasNDArray(DataBuffer buffer,
int[] shape,
int[] strides) |
JCublasNDArray(DataBuffer data,
int[] shape,
int[] stride,
int offset) |
JCublasNDArray(DataBuffer buffer,
int[] shape,
int[] stride,
int offset,
char ordering) |
JCublasNDArray(DataBuffer buffer,
int[] shape,
int offset,
char ordering) |
JCublasNDArray(double[][] data) |
JCublasNDArray(double[][] data,
char ordering) |
JCublasNDArray(double[] data,
int[] shape,
char ordering) |
JCublasNDArray(double[] data,
int[] shape,
int[] stride,
int offset) |
JCublasNDArray(double[] data,
int[] shape,
int[] stride,
int offset,
char ordering) |
JCublasNDArray(float[] data) |
JCublasNDArray(float[][] floats) |
JCublasNDArray(float[][] data,
char ordering) |
JCublasNDArray(float[] data,
char order) |
JCublasNDArray(float[] data,
int[] shape)
Create this JCublasNDArray with the given data and shape and 0 offset
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JCublasNDArray(float[] data,
int[] shape,
char ordering)
Create this JCublasNDArray with the given data and shape and 0 offset
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JCublasNDArray(float[] data,
int[] shape,
int offset) |
JCublasNDArray(float[] data,
int[] shape,
int[] stride) |
JCublasNDArray(float[] data,
int[] shape,
int[] stride,
char ordering) |
JCublasNDArray(float[] data,
int[] shape,
int[] stride,
int offset) |
JCublasNDArray(float[] data,
int[] shape,
int[] stride,
int offset,
char ordering) |
JCublasNDArray(float[] data,
int[] shape,
int offset,
char ordering) |
JCublasNDArray(FloatBuffer floatBuffer,
char order) |
JCublasNDArray(int[] shape) |
JCublasNDArray(int[] shape,
char ordering) |
JCublasNDArray(int[] shape,
DataBuffer buffer) |
JCublasNDArray(int[] shape,
int offset) |
JCublasNDArray(int[] shape,
int[] stride)
Create the JCublasNDArray with
the specified shape and stride and an offset of 0
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JCublasNDArray(int[] shape,
int[] stride,
char ordering)
Create the JCublasNDArray with
the specified shape and stride and an offset of 0
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JCublasNDArray(int[] shape,
int[] stride,
int offset)
Construct an JCublasNDArray of the specified shape
with an empty data array
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JCublasNDArray(int[] data,
int[] shape,
int[] strides) |
JCublasNDArray(int[] shape,
int[] stride,
int offset,
char ordering)
Construct an JCublasNDArray of the specified shape
with an empty data array
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JCublasNDArray(int[] shape,
int offset,
char ordering) |
JCublasNDArray(int newRows,
int newColumns)
Creates a new n times m DoubleMatrix.
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JCublasNDArray(int newRows,
int newColumns,
char ordering)
Creates a new n times m DoubleMatrix.
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JCublasNDArray(JCublasNDArray doubleMatrix) |
JCublasNDArray(List<INDArray> slices,
int[] shape)
Create an JCublasNDArray from the specified slices.
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JCublasNDArray(List<INDArray> slices,
int[] shape,
char ordering)
Create an JCublasNDArray from the specified slices.
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JCublasNDArray(List<INDArray> slices,
int[] shape,
int[] stride)
Create an JCublasNDArray from the specified slices.
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JCublasNDArray(List<INDArray> slices,
int[] shape,
int[] stride,
char ordering)
Create an JCublasNDArray from the specified slices.
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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, 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, 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, permute, prod, prodComplex, prodNumber, put, put, put, put, put, put, putColumn, putRow, 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, 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, size, slice, slice, slices, sliceVectors, squaredDistance, std, stdComplex, stdNumber, stride, stride, 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, varComplex, varNumber, vectorAlongDimension, vectorsAlongDimensionclone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitforEach, spliteratorpublic JCublasNDArray(double[][] data)
public JCublasNDArray(double[][] data,
char ordering)
public JCublasNDArray(int[] shape,
DataBuffer buffer)
public JCublasNDArray(float[] data,
int[] shape,
char ordering)
data - the data to useshape - the shape of the JCublasNDArrayordering - public JCublasNDArray(float[] data,
int[] shape,
int offset,
char ordering)
data - the data to useshape - the shape of the JCublasNDArrayoffset - the desired offsetordering - the ordering of the JCublasNDArraypublic JCublasNDArray(int[] shape,
int[] stride,
int offset,
char ordering)
shape - the shape of the JCublasNDArraystride - the stride of the JCublasNDArrayoffset - the desired offsetordering - the ordering of the JCublasNDArraypublic JCublasNDArray(int[] shape,
int[] stride,
char ordering)
shape - the shape of the JCublasNDArraystride - the stride of the JCublasNDArrayordering - the ordering of the JCublasNDArraypublic JCublasNDArray(int[] shape,
int offset,
char ordering)
public JCublasNDArray(int[] shape)
public JCublasNDArray(int newRows,
int newColumns,
char ordering)
newRows - the number of rows (n) of the new matrix.newColumns - the number of columns (m) of the new matrix.ordering - public JCublasNDArray(List<INDArray> slices, int[] shape, char ordering)
slices - the slices to mergeshape - the shape of the JCublasNDArrayordering - public JCublasNDArray(List<INDArray> slices, int[] shape, int[] stride, char ordering)
slices - the slices to mergeshape - the shape of the JCublasNDArraystride - ordering - public JCublasNDArray(float[] data,
int[] shape,
int[] stride,
char ordering)
public JCublasNDArray(float[] data,
int[] shape,
int[] stride,
int offset,
char ordering)
public JCublasNDArray(DataBuffer data, int[] shape, int[] stride, int offset)
public JCublasNDArray(int[] data,
int[] shape,
int[] strides)
public JCublasNDArray(DataBuffer data, int[] shape)
public JCublasNDArray(DataBuffer buffer, int[] shape, int offset)
public JCublasNDArray(float[] data,
int[] shape)
data - the data to useshape - the shape of the JCublasNDArraypublic JCublasNDArray(float[] data,
int[] shape,
int offset)
public JCublasNDArray(int[] shape,
int[] stride,
int offset)
shape - the shape of the JCublasNDArraystride - the stride of the JCublasNDArrayoffset - the desired offsetpublic JCublasNDArray(int[] shape,
int[] stride)
shape - the shape of the JCublasNDArraystride - the stride of the JCublasNDArraypublic JCublasNDArray(int[] shape,
int offset)
public JCublasNDArray(int[] shape,
char ordering)
public JCublasNDArray(int newRows,
int newColumns)
newRows - the number of rows (n) of the new matrix.newColumns - the number of columns (m) of the new matrix.public JCublasNDArray(List<INDArray> slices, int[] shape)
slices - the slices to mergeshape - the shape of the JCublasNDArraypublic JCublasNDArray(List<INDArray> slices, int[] shape, int[] stride)
slices - the slices to mergeshape - the shape of the JCublasNDArraystride - public JCublasNDArray(float[] data,
int[] shape,
int[] stride)
public JCublasNDArray(float[] data,
int[] shape,
int[] stride,
int offset)
public JCublasNDArray(float[] data)
public JCublasNDArray(JCublasNDArray doubleMatrix)
public JCublasNDArray(double[] data,
int[] shape,
int[] stride,
int offset)
public JCublasNDArray(float[][] floats)
public JCublasNDArray(float[][] data,
char ordering)
public JCublasNDArray(DataBuffer buffer, int[] shape, int offset, char ordering)
public JCublasNDArray()
public JCublasNDArray(DataBuffer buffer)
public JCublasNDArray(DataBuffer buffer, int[] shape, int[] stride, int offset, char ordering)
public JCublasNDArray(float[] data,
char order)
public JCublasNDArray(FloatBuffer floatBuffer, char order)
public JCublasNDArray(DataBuffer buffer, int[] shape, int[] strides)
public JCublasNDArray(double[] data,
int[] shape,
char ordering)
public JCublasNDArray(double[] data,
int[] shape,
int[] stride,
int offset,
char ordering)
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