Uses of Interface
org.tensorflow.ndarray.NdArray

Packages that use NdArray

Package	Description
org.tensorflow.ndarray
org.tensorflow.ndarray.impl
org.tensorflow.ndarray.impl.dense
org.tensorflow.ndarray.impl.sequence
org.tensorflow.ndarray.impl.sparse
org.tensorflow.ndarray.impl.sparse.slice
org.tensorflow.ndarray.index

Uses of NdArray in org.tensorflow.ndarray

Classes in org.tensorflow.ndarray with type parameters of type NdArray

Modifier and Type	Interface	Description
interface	NdArraySequence<T extends NdArray<?>>	A sequence of elements of an N-dimensional array.
interface	SparseNdArray<T,U extends NdArray<T>>	Interface for Sparse Arrays

Subinterfaces of NdArray in org.tensorflow.ndarray

Modifier and Type	Interface	Description
interface	BooleanNdArray	An NdArray of booleans.
interface	ByteNdArray	An NdArray of bytes.
interface	DoubleNdArray	An NdArray of doubles.
interface	FloatNdArray	An NdArray of floats.
interface	IntNdArray	An NdArray of integers.
interface	LongNdArray	An NdArray of longs.
interface	ShortNdArray	An NdArray of shorts.
interface	SparseNdArray<T,U extends NdArray<T>>	Interface for Sparse Arrays

Methods in org.tensorflow.ndarray that return NdArray

Modifier and Type	Method	Description
NdArray<T>	NdArray.copyTo(NdArray<T> dst)	Copy the content of this array to the destination array.
NdArray<T>	NdArray.get(long... coordinates)	Returns the N-dimensional element of this array at the given coordinates.
static <T> NdArray<T>	StdArrays.ndCopyOf(T[] array)	Copy an array of objects in a new NdArray
static <T> NdArray<T>	StdArrays.ndCopyOf(T[][] array)	Copy a 2-dimensional array of objects in a new NdArray
static <T> NdArray<T>	StdArrays.ndCopyOf(T[][][] array)	Copy a 3-dimensional array of objects in a new NdArray
static <T> NdArray<T>	StdArrays.ndCopyOf(T[][][][] array)	Copy a 4-dimensional array of objects in a new NdArray
static <T> NdArray<T>	StdArrays.ndCopyOf(T[][][][][] array)	Copy a 5-dimensional array of objects in a new NdArray
static <T> NdArray<T>	StdArrays.ndCopyOf(T[][][][][][] array)	Copy a 6-dimensional array of objects in a new NdArray
static <T> NdArray<T>	NdArrays.ofObjects(Class<T> clazz, Shape shape)	Creates an N-dimensional array of the given shape.
NdArray<T>	NdArray.read(DataBuffer<T> dst)	Read the content of this N-dimensional array into the destination buffer.
static <T> NdArray<T>	NdArrays.scalarOfObject(T value)	Creates scalar (rank 0) initialized with the given value.
NdArray<T>	NdArray.set(NdArray<T> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
NdArray<T>	NdArray.setObject(T value, long... coordinates)	Assigns the value of the scalar found at the given coordinates.
NdArray<T>	NdArray.slice(Index... indices)	Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, Shape shape)	Creates a Sparse array of values with a null default value
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, T defaultValue, Shape shape)	Creates a Sparse array of values
static <T> NdArray<T>	NdArrays.vectorOfObjects(T... values)	Creates a vector (rank 1) initialized with the given values.
static <T> NdArray<T>	NdArrays.wrap(Shape shape, DataBuffer<T> buffer)	Wraps a buffer in an N-dimensional array of a given shape.
NdArray<T>	NdArray.write(DataBuffer<T> src)	Write the content of this N-dimensional array from the source buffer.

Methods in org.tensorflow.ndarray that return types with arguments of type NdArray

Modifier and Type	Method	Description
NdArraySequence<? extends NdArray<T>>	NdArray.elements(int dimensionIdx)	Returns a sequence of all elements at a given dimension.
NdArraySequence<? extends NdArray<T>>	NdArray.scalars()	Returns a sequence of all scalars in this array.

Methods in org.tensorflow.ndarray with parameters of type NdArray

Modifier and Type	Method	Description
static <T> T[]	StdArrays.array1dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 1-dimension standard array of objects
static <T> T[][]	StdArrays.array2dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 2-dimension standard array of objects
static <T> T[][][]	StdArrays.array3dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 3-dimension standard array of objects
static <T> T[][][][]	StdArrays.array4dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 4-dimension standard array of objects
static <T> T[][][][][]	StdArrays.array5dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 5-dimension standard array of objects
static <T> T[][][][][][]	StdArrays.array6dCopyOf(NdArray<T> ndArray, Class<T> objectType)	Copy a NdArray<T> in a new 6-dimension standard array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[] dst)	Copy a NdArray to an array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[][] dst)	Copy a NdArray to a 2-dimensional array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[][][] dst)	Copy a NdArray to a 3-dimensional array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[][][][] dst)	Copy a NdArray to a 4-dimensional array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[][][][][] dst)	Copy a NdArray to a 5-dimensional array of objects
static <T> void	StdArrays.copyFrom(NdArray<T> src, T[][][][][][] dst)	Copy a NdArray to a 6-dimensional array of objects
BooleanNdArray	BooleanNdArray.copyTo(NdArray<Boolean> dst)
ByteNdArray	ByteNdArray.copyTo(NdArray<Byte> dst)
DoubleNdArray	DoubleNdArray.copyTo(NdArray<Double> dst)
FloatNdArray	FloatNdArray.copyTo(NdArray<Float> dst)
IntNdArray	IntNdArray.copyTo(NdArray<Integer> dst)
LongNdArray	LongNdArray.copyTo(NdArray<Long> dst)
NdArray<T>	NdArray.copyTo(NdArray<T> dst)	Copy the content of this array to the destination array.
ShortNdArray	ShortNdArray.copyTo(NdArray<Short> dst)
static <T> void	StdArrays.copyTo(T[][][][][][] src, NdArray<T> dst)	Copy a 6-dimensional array of objects into the dst NdArray
static <T> void	StdArrays.copyTo(T[][][][][] src, NdArray<T> dst)	Copy a 5-dimensional array of objects into the dst NdArray
static <T> void	StdArrays.copyTo(T[][][][] src, NdArray<T> dst)	Copy a 4-dimensional array of objects into the dst NdArray
static <T> void	StdArrays.copyTo(T[][][] src, NdArray<T> dst)	Copy a 3-dimensional array of objects into the dst NdArray
static <T> void	StdArrays.copyTo(T[][] src, NdArray<T> dst)	Copy a 2-dimensional array of objects into the dst NdArray
static <T> void	StdArrays.copyTo(T[] src, NdArray<T> dst)	Copy an array of objects into the dst NdArray
BooleanNdArray	BooleanNdArray.set(NdArray<Boolean> src, long... coordinates)
ByteNdArray	ByteNdArray.set(NdArray<Byte> src, long... coordinates)
DoubleNdArray	DoubleNdArray.set(NdArray<Double> src, long... coordinates)
FloatNdArray	FloatNdArray.set(NdArray<Float> src, long... coordinates)
IntNdArray	IntNdArray.set(NdArray<Integer> src, long... coordinates)
LongNdArray	LongNdArray.set(NdArray<Long> src, long... coordinates)
NdArray<T>	NdArray.set(NdArray<T> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
ShortNdArray	ShortNdArray.set(NdArray<Short> src, long... coordinates)
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, Shape shape)	Creates a Sparse array of values with a null default value
static <T> NdArray<T>	NdArrays.sparseOfObjects(Class<T> type, LongNdArray indices, NdArray<T> values, T defaultValue, Shape shape)	Creates a Sparse array of values

Uses of NdArray in org.tensorflow.ndarray.impl

Classes in org.tensorflow.ndarray.impl with annotations of type with type parameters of type that implement declared as with annotations of type with type parameters of type with annotations of type with annotations of type with type parameters of type that return that return types with arguments of type with parameters of type with type arguments of type that throw with annotations of type with annotations of type with parameters of type with type arguments of type that throw NdArray

Modifier and Type	Class	Description
class	org.tensorflow.ndarray.impl.AbstractNdArray<T,U extends NdArray<T>>

Uses of NdArray in org.tensorflow.ndarray.impl.dense

Classes in org.tensorflow.ndarray.impl.dense with type parameters of type NdArray

Modifier and Type	Class	Description
class	AbstractDenseNdArray<T,U extends NdArray<T>>

Classes in org.tensorflow.ndarray.impl.dense that implement NdArray

Modifier and Type	Class	Description
class	AbstractDenseNdArray<T,U extends NdArray<T>>
class	BooleanDenseNdArray
class	ByteDenseNdArray
class	DenseNdArray<T>
class	DoubleDenseNdArray
class	FloatDenseNdArray
class	IntDenseNdArray
class	LongDenseNdArray
class	ShortDenseNdArray

Methods in org.tensorflow.ndarray.impl.dense that return NdArray

Modifier and Type	Method	Description
NdArray<T>	DenseNdArray.copyTo(NdArray<T> dst)
static <T> NdArray<T>	DenseNdArray.wrap(DataBuffer<T> buffer, Shape shape)

Methods in org.tensorflow.ndarray.impl.dense with parameters of type NdArray

Modifier and Type	Method	Description
BooleanNdArray	BooleanDenseNdArray.copyTo(NdArray<Boolean> dst)
ByteNdArray	ByteDenseNdArray.copyTo(NdArray<Byte> dst)
NdArray<T>	DenseNdArray.copyTo(NdArray<T> dst)
DoubleNdArray	DoubleDenseNdArray.copyTo(NdArray<Double> dst)
FloatNdArray	FloatDenseNdArray.copyTo(NdArray<Float> dst)
IntNdArray	IntDenseNdArray.copyTo(NdArray<Integer> dst)
LongNdArray	LongDenseNdArray.copyTo(NdArray<Long> dst)
ShortNdArray	ShortDenseNdArray.copyTo(NdArray<Short> dst)
U	AbstractDenseNdArray.set(NdArray<T> src, long... coordinates)
protected void	AbstractDenseNdArray.slowCopyTo(NdArray<T> array)

Uses of NdArray in org.tensorflow.ndarray.impl.sequence

Classes in org.tensorflow.ndarray.impl.sequence with type parameters of type NdArray

Modifier and Type	Class	Description
class	FastElementSequence<T,U extends NdArray<T>>	A sequence recycling the same NdArray instance when iterating its elements
class	SingleElementSequence<T,U extends NdArray<T>>	A sequence of one single element
class	SlicingElementSequence<T,U extends NdArray<T>>	A sequence creating a new NdArray instance (slice) for each element of an iteration

Uses of NdArray in org.tensorflow.ndarray.impl.sparse

Classes in org.tensorflow.ndarray.impl.sparse with type parameters of type NdArray

Modifier and Type	Class	Description
class	AbstractSparseNdArray<T,U extends NdArray<T>>	Abstract base class for sparse array.
class	SparseNdArray<T,U extends NdArray<T>>	sparse array for the any data type

Classes in org.tensorflow.ndarray.impl.sparse that implement NdArray

Modifier and Type	Class	Description
class	AbstractSparseNdArray<T,U extends NdArray<T>>	Abstract base class for sparse array.
class	BooleanSparseNdArray	sparse array for the boolean data type
class	ByteSparseNdArray	sparse array for the byte data type
class	DoubleSparseNdArray	A sparse array for the double data type
class	FloatSparseNdArray	sparse array for the float data type
class	IntSparseNdArray	sparse array for the int data type
class	LongSparseNdArray	sparse array for the long data type
class	ShortSparseNdArray	sparse array for the short data type
class	SparseNdArray<T,U extends NdArray<T>>	sparse array for the any data type

Methods in org.tensorflow.ndarray.impl.sparse with type parameters of type NdArray

Modifier and Type	Method	Description
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> dataBuffer, DimensionalSpace dimensions)	Creates a new SparseNdArray from a data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> buffer, Shape shape)	Creates a new empty SparseNdArray from a float data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> dataBuffer, T defaultValue, DimensionalSpace dimensions)	Creates a new SparseNdArray from a data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DataBuffer<T> buffer, T defaultValue, Shape shape)	Creates a new empty SparseNdArray from a float data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, DimensionalSpace dimensions)	Creates a new empty SparseNdArray from a data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, LongNdArray indices, U values, DimensionalSpace dimensions)	Creates a new SparseNdArray
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, LongNdArray indices, U values, T defaultValue, DimensionalSpace dimensions)	Creates a new SparseNdArray
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, T defaultValue, DimensionalSpace dimensions)	Creates a new empty SparseNdArray from a data buffer
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, U src)	Creates a new SparseNdArray from a NdArray
static <T,U extends NdArray<T>> SparseNdArray<T,U>	SparseNdArray.create(Class<T> type, U src, T defaultValue)	Creates a new SparseNdArray from a NdArray

Methods in org.tensorflow.ndarray.impl.sparse that return NdArray

Modifier and Type	Method	Description
NdArray<T>	AbstractSparseNdArray.copyTo(NdArray<T> dst)	Copy the content of this array to the destination array.
NdArray<T>	SparseNdArray.fromDense(NdArray<T> src)	Populates this sparse array from a dense array
NdArray<T>	AbstractSparseNdArray.get(long... coordinates)	Returns the N-dimensional element of this array at the given coordinates.
NdArray<T>	SparseNdArray.read(DataBuffer<T> dst)	Read the content of this N-dimensional array into the destination buffer.
NdArray<T>	AbstractSparseNdArray.set(NdArray<T> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
NdArray<T>	AbstractSparseNdArray.setObject(T value, long... coords)	Assigns the value of the scalar found at the given coordinates.
NdArray<T>	AbstractSparseNdArray.slice(Index... indices)	Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.
NdArray<T>	SparseNdArray.write(DataBuffer<T> src)	Write the content of this N-dimensional array from the source buffer.

Methods in org.tensorflow.ndarray.impl.sparse with parameters of type NdArray

Modifier and Type	Method	Description
NdArray<T>	AbstractSparseNdArray.copyTo(NdArray<T> dst)	Copy the content of this array to the destination array.
BooleanNdArray	BooleanSparseNdArray.copyTo(NdArray<Boolean> dst)	Copy the content of this array to the destination array.
ByteNdArray	ByteSparseNdArray.copyTo(NdArray<Byte> dst)	Copy the content of this array to the destination array.
DoubleNdArray	DoubleSparseNdArray.copyTo(NdArray<Double> dst)	Copy the content of this array to the destination array.
FloatNdArray	FloatSparseNdArray.copyTo(NdArray<Float> dst)	Copy the content of this array to the destination array.
IntNdArray	IntSparseNdArray.copyTo(NdArray<Integer> dst)	Copy the content of this array to the destination array.
LongNdArray	LongSparseNdArray.copyTo(NdArray<Long> dst)	Copy the content of this array to the destination array.
ShortNdArray	ShortSparseNdArray.copyTo(NdArray<Short> dst)	Copy the content of this array to the destination array.
NdArray<T>	SparseNdArray.fromDense(NdArray<T> src)	Populates this sparse array from a dense array
NdArray<T>	AbstractSparseNdArray.set(NdArray<T> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
BooleanNdArray	BooleanSparseNdArray.set(NdArray<Boolean> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
ByteNdArray	ByteSparseNdArray.set(NdArray<Byte> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
DoubleNdArray	DoubleSparseNdArray.set(NdArray<Double> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
FloatNdArray	FloatSparseNdArray.set(NdArray<Float> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
IntNdArray	IntSparseNdArray.set(NdArray<Integer> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
LongNdArray	LongSparseNdArray.set(NdArray<Long> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
ShortNdArray	ShortSparseNdArray.set(NdArray<Short> src, long... coordinates)	Assigns the value of the N-dimensional element found at the given coordinates.
protected void	AbstractSparseNdArray.slowCopyTo(NdArray<T> array)

Uses of NdArray in org.tensorflow.ndarray.impl.sparse.slice

Classes in org.tensorflow.ndarray.impl.sparse.slice with type parameters of type NdArray

Modifier and Type	Class	Description
class	ObjectSparseSlice<T,U extends NdArray<T>>
class	SparseSlice<T,U extends NdArray<T>>	A sparse window is a view into an AbstractSparseNdArray.

Classes in org.tensorflow.ndarray.impl.sparse.slice that implement NdArray

Modifier and Type	Class	Description
class	BooleanSparseSlice
class	ByteSparseSlice
class	DoubleSparseSlice
class	FloatSparseSlice
class	IntSparseSlice
class	LongSparseSlice
class	ObjectSparseSlice<T,U extends NdArray<T>>
class	ShortSparseSlice
class	SparseSlice<T,U extends NdArray<T>>	A sparse window is a view into an AbstractSparseNdArray.

Methods in org.tensorflow.ndarray.impl.sparse.slice that return NdArray

Modifier and Type	Method	Description
NdArray<T>	SparseSlice.get(long... coordinates)	Returns the N-dimensional element of this array at the given coordinates.
NdArray<T>	SparseSlice.slice(Index... indices)	Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.
NdArray<T>	SparseSlice.write(DataBuffer<T> src)	Write the content of this N-dimensional array from the source buffer.

Methods in org.tensorflow.ndarray.impl.sparse.slice with parameters of type NdArray

Modifier and Type	Method	Description
BooleanNdArray	BooleanSparseSlice.copyTo(NdArray<Boolean> dst)
ByteNdArray	ByteSparseSlice.copyTo(NdArray<Byte> dst)
DoubleNdArray	DoubleSparseSlice.copyTo(NdArray<Double> dst)
FloatNdArray	FloatSparseSlice.copyTo(NdArray<Float> dst)
IntNdArray	IntSparseSlice.copyTo(NdArray<Integer> dst)
LongNdArray	LongSparseSlice.copyTo(NdArray<Long> dst)
ShortNdArray	ShortSparseSlice.copyTo(NdArray<Short> dst)
BooleanNdArray	BooleanSparseSlice.set(NdArray<Boolean> src, long... coordinates)
ByteNdArray	ByteSparseSlice.set(NdArray<Byte> src, long... coordinates)
DoubleNdArray	DoubleSparseSlice.set(NdArray<Double> src, long... coordinates)
FloatNdArray	FloatSparseSlice.set(NdArray<Float> src, long... coordinates)
IntNdArray	IntSparseSlice.set(NdArray<Integer> src, long... coordinates)
LongNdArray	LongSparseSlice.set(NdArray<Long> src, long... coordinates)
U	ObjectSparseSlice.set(NdArray<T> src, long... coordinates)
ShortNdArray	ShortSparseSlice.set(NdArray<Short> src, long... coordinates)

Uses of NdArray in org.tensorflow.ndarray.index

Methods in org.tensorflow.ndarray.index with parameters of type NdArray

Modifier and Type	Method	Description
static Index	Indices.at(NdArray<? extends Number> coord)	A coordinate that selects a specific element on a given dimension.
static Index	Indices.at(NdArray<? extends Number> coord, boolean keepDim)	A coordinate that selects a specific element on a given dimension.
static Index	Indices.seq(NdArray<? extends Number> coords)	An index that returns only specific elements on a given dimension.