QuantizedAdd

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>
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.
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)

public Output < TFloat32 > minZ ()

The float value that the lowest quantized output value represents.

public Output <V> z ()