TFloat64
Stay organized with collections
Save and categorize content based on your preferences.
IEEE-754 double-precision 64-bit float tensor type.
Public Methods
|
abstract
static
TFloat64
|
scalarOf(double value)
Allocates a new tensor for storing a single double value.
|
|
abstract
static
TFloat64
|
tensorOf( Shape shape, Consumer< TFloat64> dataInit)
Allocates a new tensor of the given shape and initialize its data.
|
|
abstract
static
TFloat64
|
|
|
abstract
static
TFloat64
|
|
|
abstract
static
TFloat64
|
tensorOf( NdArray<Double> src)
Allocates a new tensor which is a copy of a given array of doubles.
|
|
abstract
static
TFloat64
|
vectorOf(double... values)
Allocates a new tensor for storing a vector of doubles.
|
Inherited Methods
From interface
org.tensorflow.ndarray.NdArray
|
abstract
NdArray<Double>
|
copyTo( NdArray<Double> 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<Double>
|
get(long... coordinates)
Returns the N-dimensional element of this array at the given coordinates.
|
|
abstract
Double
|
getObject(long... coordinates)
Returns the value of the scalar found at the given coordinates.
|
|
abstract
NdArray<Double>
|
read( DataBuffer<Double> 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<Double>
|
set( NdArray<Double> src, long... coordinates)
Assigns the value of the N-dimensional element found at the given coordinates.
|
|
abstract
NdArray<Double>
|
setObject(Double value, long... coordinates)
Assigns the value of the scalar found at the given coordinates.
|
|
abstract
NdArray<Double>
|
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<Double>
|
write( DataBuffer<Double> src)
Write the content of this N-dimensional array from the source buffer.
|
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
|
|
|
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
Public Methods
public
static
abstract
TFloat64
scalarOf
(double value)
Allocates a new tensor for storing a single double value.
Parameters
| value |
double to store in the new tensor |
public
static
abstract
TFloat64
tensorOf
(Shape shape, Consumer<TFloat64> 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 |
Allocates a new tensor of the given shape, initialized with the provided data.
Parameters
| shape |
shape of the tensor to allocate |
| data |
buffer of doubles to initialize the tensor with |
public
static
abstract
TFloat64
tensorOf
(Shape shape)
Allocates a new tensor of the given shape.
Parameters
| shape |
shape of the tensor to allocate |
public
static
abstract
TFloat64
tensorOf
(NdArray<Double> src)
Allocates a new tensor which is a copy of a given array of doubles.
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 |
public
static
abstract
TFloat64
vectorOf
(double... values)
Allocates a new tensor for storing a vector of doubles.
Parameters
| values |
doubles to store in the new tensor |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[]]
