Dequantize

public final class Dequantize

Takes the packed uint32 input and unpacks the input to uint8 to do

Dequantization on device.

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TBfloat16>	asOutput() Returns the symbolic handle of the tensor.
static Dequantize	create(Scope scope, Operand<?> input, Float minRange, Float maxRange, String mode, Boolean transposeOutput) Factory method to create a class wrapping a new Dequantize operation.
Output<TBfloat16>	output() Output tensors whose types is bloat16.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

From interface org.tensorflow.Operand

abstract Output<TBfloat16>	asOutput() Returns the symbolic handle of the tensor.
abstract TBfloat16	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TBfloat16>	type() Returns the tensor type of this operand

From interface 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.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "XlaDequantize"

Public Methods

public Output<TBfloat16> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static Dequantize create (Scope scope, Operand<?> input, Float minRange, Float maxRange, String mode, Boolean transposeOutput)

Factory method to create a class wrapping a new Dequantize operation.

Parameters

scope	current scope
input	Input tensors whose types is uint32, shape is [d0, ..., dn].
minRange	The minimum scalar value possibly produced for the input.
maxRange	The maximum scalar value possibly produced for the input.
mode	String to determine the dequantize mode in {"MIN_COMBINED", "MIN_FIRST", "SCALED"}.
transposeOutput	Boolean to determine if output is transposed. transpose_output is faster when input is large and rank of input is higher than 1.

Returns

a new instance of Dequantize

public Output<TBfloat16> output ()

Output tensors whose types is bloat16. If transpose_output is true, output shape is [dn * 4, dn-1, ..., d1, d0]. If transpose_output is false, output shape is [d0,..., dn * 4].