Dequantize

public final class Dequantize

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

Dequantization on device.

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

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
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.
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
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].