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
Inherited Methods
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()
|
abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
abstract Operation |
Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
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