Class BiasAddGrad<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.nn.BiasAddGrad<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="nn")
public final class BiasAddGrad<T extends TType>
extends RawOp
implements Operand<T>

The backward operation for "BiasAdd" on the "bias" tensor. It accumulates all the values from out_backprop into the feature dimension. For NHWC data format, the feature dimension is the last. For NCHW data format, the feature dimension is the third-to-last.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	BiasAddGrad.Inputs<T extends TType>
static class	BiasAddGrad.Options	Optional attributes for BiasAddGrad

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
BiasAddGrad(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TType> BiasAddGrad<T>	create(Scope scope, Operand<T> outBackprop, BiasAddGrad.Options... options)	Factory method to create a class wrapping a new BiasAddGrad operation.
static BiasAddGrad.Options	dataFormat(String dataFormat)	Sets the dataFormat option.
Output<T>	output()	Gets output. 1-D with size the feature dimension of out_backprop.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

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

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

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

See Also:

• Constant Field Values

Constructor Details

BiasAddGrad

public BiasAddGrad(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType> BiasAddGrad<T> create(Scope scope,
 Operand<T> outBackprop,
 BiasAddGrad.Options... options)

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

Type Parameters:

T - data type for BiasAddGrad output and operands

Parameters:

scope - current scope

outBackprop - Any number of dimensions.

options - carries optional attribute values

Returns:

a new instance of BiasAddGrad

dataFormat

public static BiasAddGrad.Options dataFormat(String dataFormat)

Sets the dataFormat option.

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.

Returns:

this Options instance.

output

public Output<T> output()

Gets output. 1-D with size the feature dimension of out_backprop.

Returns:

output.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends TType>

See Also:

• OperationBuilder.addInput(Output)