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

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)
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.
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.
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
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.
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