Uses of Interface
org.tensorflow.ndarray.NdArray

Packages that use NdArray

Package	Description
org.tensorflow.ndarray
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
org.tensorflow.op
org.tensorflow.op.core
org.tensorflow.types	Defines classes that represent TensorFlow tensor types.

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.copyFrom(DataBuffer<T> src)	Copy the content of the source buffer into this N-dimensional array.
NdArray<T>	NdArray.copyTo(DataBuffer<T> dst)	Copy the content of this N-dimensional array into the destination buffer.
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.
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.
NdArray<T>	NdArray.withShape(Shape shape)	Returns a new N-dimensional view of this array with the given shape.
static <T> NdArray<T>	NdArrays.wrap(Shape shape, DataBuffer<T> buffer)	Wraps a buffer in an N-dimensional array of a given shape.

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.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

Subclasses with type arguments of type NdArray in org.tensorflow.ndarray.impl.dense

Modifier and Type	Class	Description
class	DenseNdArray<T>

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
final class	FastElementSequence<T, U extends NdArray<T>>	A sequence recycling the same NdArray instance when iterating its elements
final class	SingleElementSequence<T, U extends NdArray<T>>	A sequence of one single element
final 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>	SparseNdArray.copyFrom(DataBuffer<T> src)	Copy the content of the source buffer into this N-dimensional array.
NdArray<T>	AbstractSparseNdArray.copyTo(NdArray<T> dst)	Copy the content of this array to the destination array.
NdArray<T>	SparseNdArray.copyTo(DataBuffer<T> dst)	Copy the content of this N-dimensional array into the destination buffer.
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>	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.

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.copyFrom(DataBuffer<T> src)	Copy the content of the source buffer into this N-dimensional array.
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.

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.

Uses of NdArray in org.tensorflow.op

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

Modifier and Type	Method	Description
Constant<TString>	Ops.constant(Charset charset, NdArray<String> data)	Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
Constant<TString>	Ops.constant(NdArray<String> data)	Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.

Uses of NdArray in org.tensorflow.op.core

Methods in org.tensorflow.op.core with parameters of type NdArray

Modifier and Type	Method	Description
static Constant<TString>	Constant.tensorOf(Scope scope, Charset charset, NdArray<String> data)	Creates a constant of String elements that is a copy of a given n-dimensional array, using the given encoding.
static Constant<TString>	Constant.tensorOf(Scope scope, NdArray<String> data)	Creates a constant of String elements that is a copy of a given n-dimensional array, using the default UTF-8 encoding.

Uses of NdArray in org.tensorflow.types

Subinterfaces of NdArray in org.tensorflow.types

Modifier and Type	Interface	Description
interface	TBfloat16	Brain 16-bit float tensor type.
interface	TBool	Boolean tensor type.
interface	TFloat16	IEEE-754 half-precision 16-bit float tensor type.
interface	TFloat32	IEEE-754 single-precision 32-bit float tensor type.
interface	TFloat64	IEEE-754 double-precision 64-bit float tensor type.
interface	TInt32	32-bit signed integer tensor type.
interface	TInt64	64-bit signed integer tensor type.
interface	TString	String type.
interface	TUint16	16-bit unsigned integer tensor type.
interface	TUint8	8-bit unsigned integer tensor type.

Methods in org.tensorflow.types that return NdArray

Modifier and Type	Method	Description
NdArray<byte[]>	TString.asBytes()

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

Modifier and Type	Method	Description
static TBfloat16	TBfloat16.tensorOf(NdArray<Float> src)	Allocates a new tensor which is a copy of a given array of floats.
static TBool	TBool.tensorOf(NdArray<Boolean> src)	Allocates a new tensor which is a copy of a given array of booleans.
static TFloat16	TFloat16.tensorOf(NdArray<Float> src)	Allocates a new tensor which is a copy of a given array of floats.
static TFloat32	TFloat32.tensorOf(NdArray<Float> src)	Allocates a new tensor which is a copy of a given array of floats.
static TFloat64	TFloat64.tensorOf(NdArray<Double> src)	Allocates a new tensor which is a copy of a given array of doubles.
static TInt32	TInt32.tensorOf(NdArray<Integer> src)	Allocates a new tensor which is a copy of a given array of ints.
static TInt64	TInt64.tensorOf(NdArray<Long> src)	Allocates a new tensor which is a copy of a given array of longs.
static TString	TString.tensorOf(Charset charset, NdArray<String> src)	Allocates a new tensor which is a copy of a given array.
static TString	TString.tensorOf(NdArray<String> src)	Allocates a new tensor which is a copy of a given array.
static TUint16	TUint16.tensorOf(NdArray<Short> src)	Allocates a new tensor which is a copy of a given array of shorts.
static TUint8	TUint8.tensorOf(NdArray<Byte> src)	Allocates a new tensor which is a copy of a given array of bytes.
static TString	TString.tensorOfBytes(NdArray<byte[]> src)	Allocates a new tensor which is a copy of a given array of raw bytes.