TFloat32
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IEEE-754 single-precision 32-bit float tensor type.
Public Methods
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abstract
static
TFloat32
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scalarOf(float value)
Allocates a new tensor for storing a single float value.
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abstract
static
TFloat32
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abstract
static
TFloat32
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tensorOf( Shape shape, Consumer< TFloat32> dataInit)
Allocates a new tensor of the given shape and initialize its data.
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abstract
static
TFloat32
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abstract
static
TFloat32
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tensorOf( NdArray<Float> src)
Allocates a new tensor which is a copy of a given array of floats.
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abstract
static
TFloat32
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vectorOf(float... values)
Allocates a new tensor for storing a vector of floats.
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Inherited Methods
From interface
org.tensorflow.ndarray.NdArray
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abstract
NdArray<Float>
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copyTo( NdArray<Float> dst)
Copy the content of this array to the destination array.
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abstract
NdArraySequence<? extends NdArray<T>>
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elements(int dimensionIdx)
Returns a sequence of all elements at a given dimension.
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abstract
boolean
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equals(Object obj)
Checks equality between n-dimensional arrays.
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abstract
NdArray<Float>
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get(long... coordinates)
Returns the N-dimensional element of this array at the given coordinates.
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abstract
Float
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getObject(long... coordinates)
Returns the value of the scalar found at the given coordinates.
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abstract
NdArray<Float>
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read( DataBuffer<Float> dst)
Read the content of this N-dimensional array into the destination buffer.
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abstract
NdArraySequence<? extends NdArray<T>>
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scalars()
Returns a sequence of all scalars in this array.
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abstract
NdArray<Float>
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set( NdArray<Float> src, long... coordinates)
Assigns the value of the N-dimensional element found at the given coordinates.
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abstract
NdArray<Float>
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setObject(Float value, long... coordinates)
Assigns the value of the scalar found at the given coordinates.
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abstract
NdArray<Float>
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slice( Index... indices)
Creates a multi-dimensional view (or slice) of this array by mapping one or more dimensions
to the given index selectors.
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abstract
NdArray<Float>
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write( DataBuffer<Float> src)
Write the content of this N-dimensional array from the source buffer.
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From interface
org.tensorflow.Tensor
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abstract
RawTensor
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asRawTensor()
Returns a raw (untyped) representation of this tensor
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abstract
void
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close()
Release resources associated with the Tensor.
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abstract
DataType
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abstract
long
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numBytes()
Returns the size, in bytes, of the tensor data.
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abstract
static
<T extends TType>
T
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of(Class<T> type, Shape shape, long size, Consumer<T> dataInitializer)
Allocates a tensor of a given datatype, shape and size.
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abstract
static
<T extends TType>
T
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of(Class<T> type, Shape shape)
Allocates a tensor of a given datatype and shape.
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abstract
static
<T extends TType>
T
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of(Class<T> type, Shape shape, long size)
Allocates a tensor of a given datatype, shape and size.
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abstract
static
<T extends TType>
T
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of(Class<T> type, Shape shape, Consumer<T> dataInitializer)
Allocates and initialize a tensor of a given datatype and shape.
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abstract
static
<T extends TType>
T
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of(Class<T> type, Shape shape, ByteDataBuffer rawData)
Creates a Tensor of any type from the raw data provided by the given buffer.
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abstract
Shape
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shape()
Returns the shape of the tensor.
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From interface
java.lang.AutoCloseable
Public Methods
public
static
abstract
TFloat32
scalarOf
(float value)
Allocates a new tensor for storing a single float value.
Parameters
| value |
float to store in the new tensor |
public
static
abstract
TFloat32
tensorOf
(Shape shape)
Allocates a new tensor of the given shape.
Parameters
| shape |
shape of the tensor to allocate |
public
static
abstract
TFloat32
tensorOf
(Shape shape, Consumer<TFloat32> 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 floats to initialize the tensor with |
public
static
abstract
TFloat32
tensorOf
(NdArray<Float> src)
Allocates a new tensor which is a copy of a given array of floats.
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
TFloat32
vectorOf
(float... values)
Allocates a new tensor for storing a vector of floats.
Parameters
| values |
floats to store in the new tensor |
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Last updated 2021-11-29 UTC.
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