TInt32

public interface TInt32

32-bit signed integer tensor type.

Public Methods

abstract static TInt32	scalarOf(int value) Allocates a new tensor for storing a single int value.
abstract static TInt32	tensorOf(Shape shape) Allocates a new tensor of the given shape.
abstract static TInt32	tensorOf(NdArray<Integer> src) Allocates a new tensor which is a copy of a given array of ints.
abstract static TInt32	tensorOf(Shape shape, IntDataBuffer data) Allocates a new tensor of the given shape, initialized with the provided data.
abstract static TInt32	tensorOf(Shape shape, Consumer<TInt32> dataInit) Allocates a new tensor of the given shape and initialize its data.
abstract static TInt32	vectorOf(int... values) Allocates a new tensor for storing a vector of ints.

Inherited Methods

From interface org.tensorflow.ndarray.IntNdArray

abstract IntNdArray	copyTo(NdArray<Integer> dst)
abstract NdArraySequence<IntNdArray>	elements(int dimensionIdx) Returns a sequence of all elements at a given dimension.
abstract IntNdArray	get(long... coordinates) Returns the N-dimensional element of this array at the given coordinates.
abstract int	getInt(long... coordinates) Returns the integer value of the scalar found at the given coordinates.
abstract Integer	getObject(long... coordinates) Returns the value of the scalar found at the given coordinates.
abstract IntNdArray	read(IntDataBuffer dst)
abstract IntNdArray	read(DataBuffer<Integer> dst)
abstract NdArraySequence<IntNdArray>	scalars() Returns a sequence of all scalars in this array.
abstract IntNdArray	set(NdArray<Integer> src, long... coordinates)
abstract IntNdArray	setInt(int value, long... coordinates) Assigns the integer value of the scalar found at the given coordinates.
abstract IntNdArray	setObject(Integer value, long... coordinates)
abstract IntNdArray	slice(Index... indices) Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.
abstract IntNdArray	write(DataBuffer<Integer> src)
abstract IntNdArray	write(IntDataBuffer src)

From interface org.tensorflow.ndarray.NdArray

abstract NdArray<Integer>	copyTo(NdArray<Integer> dst) Copy the content of this array to the destination array.
abstract NdArraySequence<? extends NdArray<T>>	elements(int dimensionIdx) Returns a sequence of all elements at a given dimension.
abstract boolean	equals(Object obj) Checks equality between n-dimensional arrays.
abstract NdArray<Integer>	get(long... coordinates) Returns the N-dimensional element of this array at the given coordinates.
abstract Integer	getObject(long... coordinates) Returns the value of the scalar found at the given coordinates.
abstract NdArray<Integer>	read(DataBuffer<Integer> dst) Read the content of this N-dimensional array into the destination buffer.
abstract NdArraySequence<? extends NdArray<T>>	scalars() Returns a sequence of all scalars in this array.
abstract NdArray<Integer>	set(NdArray<Integer> src, long... coordinates) Assigns the value of the N-dimensional element found at the given coordinates.
abstract NdArray<Integer>	setObject(Integer value, long... coordinates) Assigns the value of the scalar found at the given coordinates.
abstract NdArray<Integer>	slice(Index... indices) Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions to the given index selectors.
abstract NdArray<Integer>	write(DataBuffer<Integer> src) Write the content of this N-dimensional array from the source buffer.

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

From interface org.tensorflow.types.family.TType

abstract void	close() Release resources associated with the Tensor.
abstract DataType	dataType() Returns the DataType of elements stored in the tensor.
abstract long	numBytes() Returns the size, in bytes, of the tensor data.
abstract Class<? extends TType>	type() Returns the type of this tensor as a registered subclass of TType

From interface org.tensorflow.Tensor

abstract RawTensor	asRawTensor() Returns a raw (untyped) representation of this tensor
abstract void	close() Release resources associated with the Tensor.
abstract DataType	dataType() Returns the DataType of elements stored in the tensor.
abstract long	numBytes() Returns the size, in bytes, of the tensor data.
abstract static <T extends TType> T	of(Class<T> type, Shape shape, long size, Consumer<T> dataInitializer) Allocates a tensor of a given datatype, shape and size.
abstract static <T extends TType> T	of(Class<T> type, Shape shape) Allocates a tensor of a given datatype and shape.
abstract static <T extends TType> T	of(Class<T> type, Shape shape, long size) Allocates a tensor of a given datatype, shape and size.
abstract static <T extends TType> T	of(Class<T> type, Shape shape, Consumer<T> dataInitializer) Allocates and initialize a tensor of a given datatype and shape.
abstract static <T extends TType> T	of(Class<T> type, Shape shape, ByteDataBuffer rawData) Creates a Tensor of any type from the raw data provided by the given buffer.
abstract Shape	shape() Returns the shape of the tensor.

From interface java.lang.AutoCloseable

abstract void

close()

Public Methods

public static abstract TInt32 scalarOf (int value)

Allocates a new tensor for storing a single int value.

Parameters

value	int to store in the new tensor

Returns

• the new tensor

public static abstract TInt32 tensorOf (Shape shape)

Allocates a new tensor of the given shape.

Parameters

shape	shape of the tensor to allocate

Returns

• the new tensor

public static abstract TInt32 tensorOf (NdArray<Integer> src)

Allocates a new tensor which is a copy of a given array of ints.

The tensor will have the same shape as the source array and its data will be copied.

Parameters

src	the source array giving the shape and data to the new tensor

Returns

• the new tensor

public static abstract TInt32 tensorOf (Shape shape, IntDataBuffer data)

Allocates a new tensor of the given shape, initialized with the provided data.

Parameters

shape	shape of the tensor to allocate
data	buffer of ints to initialize the tensor with

Returns

• the new tensor

public static abstract TInt32 tensorOf (Shape shape, Consumer<TInt32> dataInit)

Allocates a new tensor of the given shape and initialize its data.

Parameters

shape	shape of the tensor to allocate
dataInit	tensor data initializer

Returns

• the new tensor

public static abstract TInt32 vectorOf (int... values)

Allocates a new tensor for storing a vector of ints.

Parameters

values	ints to store in the new tensor

Returns

• the new tensor

Throws

IllegalArgumentException	if no values are provided