org.tensorflow.types

Interface TInt64

All Superinterfaces:

AutoCloseable, org.tensorflow.ndarray.LongNdArray, org.tensorflow.ndarray.NdArray<Long>, org.tensorflow.ndarray.Shaped, Tensor, TIntegral, TNumber, TType

@TensorType(dataType=DT_INT64,
            byteSize=8,
            mapperClass=TInt64Mapper.class)
public interface TInt64
extends org.tensorflow.ndarray.LongNdArray, TIntegral

64-bit signed integer tensor type.

Method Summary

Modifier and Type	Method and Description
static TInt64	scalarOf(long value) Allocates a new tensor for storing a single long value.
static TInt64	tensorOf(org.tensorflow.ndarray.NdArray<Long> src) Allocates a new tensor which is a copy of a given array of longs.
static TInt64	tensorOf(org.tensorflow.ndarray.Shape shape) Allocates a new tensor of the given shape.
static TInt64	tensorOf(org.tensorflow.ndarray.Shape shape, Consumer<TInt64> dataInit) Allocates a new tensor of the given shape and initialize its data.
static TInt64	tensorOf(org.tensorflow.ndarray.Shape shape, org.tensorflow.ndarray.buffer.LongDataBuffer data) Allocates a new tensor of the given shape, initialized with the provided data.
static TInt64	vectorOf(long... values) Allocates a new tensor for storing a vector of longs.

Methods inherited from interface org.tensorflow.ndarray.LongNdArray

copyTo, elements, get, getLong, getObject, read, read, scalars, set, setLong, setObject, slice, write, write

Methods inherited from interface org.tensorflow.ndarray.NdArray

equals

Methods inherited from interface org.tensorflow.types.family.TType

close, dataType, numBytes, type

Methods inherited from interface org.tensorflow.Tensor

asRawTensor, of, of, of, of, of

Methods inherited from interface org.tensorflow.ndarray.Shaped

rank, size

Method Detail

scalarOf

static TInt64 scalarOf(long value)

Allocates a new tensor for storing a single long value.

Parameters:

value - long to store in the new tensor

Returns:

the new tensor

vectorOf

static TInt64 vectorOf(long... values)

Allocates a new tensor for storing a vector of longs.

Parameters:

values - longs to store in the new tensor

Returns:

the new tensor

tensorOf

static TInt64 tensorOf(org.tensorflow.ndarray.NdArray<Long> src)

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

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

tensorOf

static TInt64 tensorOf(org.tensorflow.ndarray.Shape shape)

Allocates a new tensor of the given shape.

Parameters:

shape - shape of the tensor to allocate

Returns:

the new tensor

tensorOf

static TInt64 tensorOf(org.tensorflow.ndarray.Shape shape,
                       org.tensorflow.ndarray.buffer.LongDataBuffer 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 longs to initialize the tensor with

Returns:

the new tensor

tensorOf

static TInt64 tensorOf(org.tensorflow.ndarray.Shape shape,
                       Consumer<TInt64> 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

Throws:

TensorFlowException - if the tensor cannot be allocated or initialized