QuantizedBiasAdd

public final class QuantizedBiasAdd

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

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

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

static <V extends TType> QuantizedBiasAdd<V>	create(Scope scope, Operand<? extends TType> input, Operand<? extends TType> bias, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minBias, Operand<TFloat32> maxBias, Class<V> outType) Factory method to create a class wrapping a new QuantizedBiasAdd operation.
Output<TFloat32>	maxOut() The float value that the highest quantized output value represents.
Output<TFloat32>	minOut() The float value that the lowest quantized output value represents.
Output<V>	output()

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface 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`.

Constants

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

Constant Value: "QuantizedBiasAdd"

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

scope	current scope
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.

The float value that the highest quantized output value represents.

The float value that the lowest quantized output value represents.