public final class
QuantizedAdd
Returns x + y element-wise, working on quantized buffers.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
static <V extends TType> QuantizedAdd<V> | |
Output<TFloat32> |
maxZ()
The float value that the highest quantized output value represents.
|
Output<TFloat32> |
minZ()
The float value that the lowest quantized output value represents.
|
Output<V> |
z()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"QuantizedAdd"
Public Methods
public static QuantizedAdd<V> create (Scope scope, Operand<? extends TType> x, Operand<? extends TType> y, Operand<TFloat32> minX, Operand<TFloat32> maxX, Operand<TFloat32> minY, Operand<TFloat32> maxY, Class<V> Toutput)
Factory method to create a class wrapping a new QuantizedAdd operation.
Parameters
scope | current scope |
---|---|
minX | The float value that the lowest quantized `x` value represents. |
maxX | The float value that the highest quantized `x` value represents. |
minY | The float value that the lowest quantized `y` value represents. |
maxY | The float value that the highest quantized `y` value represents. |
Returns
- a new instance of QuantizedAdd
public Output<TFloat32> maxZ ()
The float value that the highest quantized output value represents.
NOTE: `math.QuantizedAdd` supports limited forms of broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)