org.tensorflow.op.nn

Class QuantizedBiasAdd<V>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.nn.QuantizedBiasAdd<V>

Type Parameters:

V - data type for output() output

All Implemented Interfaces:

Op

@Operator(group="nn")
public final class QuantizedBiasAdd<V>
extends PrimitiveOp

Adds Tensor 'bias' to Tensor 'input' for Quantized types.

Broadcasts the values of bias on dimensions 0..N-2 of 'input'.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static <V,T,U> QuantizedBiasAdd<V>	create(Scope scope, Operand<T> input, Operand<U> bias, Operand<Float> minInput, Operand<Float> maxInput, Operand<Float> minBias, Operand<Float> maxBias, Class<V> outType) Factory method to create a class wrapping a new QuantizedBiasAdd operation.
Output<Float>	maxOut() The float value that the highest quantized output value represents.
Output<Float>	minOut() The float value that the lowest quantized output value represents.
Output<V>	output()

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <V,T,U> QuantizedBiasAdd<V> create(Scope scope,
                                                 Operand<T> input,
                                                 Operand<U> bias,
                                                 Operand<Float> minInput,
                                                 Operand<Float> maxInput,
                                                 Operand<Float> minBias,
                                                 Operand<Float> maxBias,
                                                 Class<V> outType)

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

Parameters:

scope - current scope

input -

bias - A 1D bias Tensor with size matching the last dimension of 'input'.

minInput - The float value that the lowest quantized input value represents.

maxInput - The float value that the highest quantized input value represents.

minBias - The float value that the lowest quantized bias value represents.

maxBias - The float value that the highest quantized bias value represents.

outType -

Returns:

a new instance of QuantizedBiasAdd

output

public Output<V> output()

minOut

public Output<Float> minOut()

The float value that the lowest quantized output value represents.

maxOut

public Output<Float> maxOut()

The float value that the highest quantized output value represents.