BiasAdd

public final class BiasAdd

Adds `bias` to `value`.

This is a special case of tf.add where `bias` is restricted to be 1-D. Broadcasting is supported, so `value` may have any number of dimensions.

Nested Classes

class BiasAdd.Options Optional attributes for BiasAdd  

Constants

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

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TType> BiasAdd<T>
create(Scope scope, Operand<T> value, Operand<T> bias, Options... options)
Factory method to create a class wrapping a new BiasAdd operation.
static BiasAdd.Options
dataFormat(String dataFormat)
Output<T>
output()
Broadcasted sum of `value` and `bias`.

Inherited Methods

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()
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()
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.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "BiasAdd"

Public Methods

public Output<T> 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 BiasAdd<T> create (Scope scope, Operand<T> value, Operand<T> bias, Options... options)

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

Parameters
scope current scope
value Any number of dimensions.
bias 1-D with size the last dimension of `value`.
options carries optional attributes values
Returns
  • a new instance of BiasAdd

public static BiasAdd.Options dataFormat (String dataFormat)

Parameters
dataFormat Specify the data format of the input and output data. With the default format "NHWC", the bias tensor will be added to the last dimension of the value tensor. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. The tensor will be added to "in_channels", the third-to-the-last dimension.

public Output<T> output ()

Broadcasted sum of `value` and `bias`.