org.bytedeco.javacpp

Class tensorflow.BiasAdd

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.BiasAdd

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.BiasAdd
extends Pointer

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. Arguments: * scope: A Scope object * value: Any number of dimensions. * bias: 1-D with size the last dimension of value. Optional attributes (see Attrs): * data_format: 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: * Output: Broadcasted sum of value and bias.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.BiasAdd.Attrs Optional attribute setters for BiasAdd

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BiasAdd(Pointer p) Pointer cast constructor.
BiasAdd(tensorflow.Scope scope, tensorflow.Input value, tensorflow.Input bias)
BiasAdd(tensorflow.Scope scope, tensorflow.Input value, tensorflow.Input bias, tensorflow.BiasAdd.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.BiasAdd.Attrs	DataFormat(BytePointer x)
static tensorflow.BiasAdd.Attrs	DataFormat(String x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.BiasAdd	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.BiasAdd	output(tensorflow.Output output)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

BiasAdd

public BiasAdd(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

BiasAdd

public BiasAdd(@Const @ByRef
               tensorflow.Scope scope,
               @ByVal
               tensorflow.Input value,
               @ByVal
               tensorflow.Input bias)

BiasAdd

public BiasAdd(@Const @ByRef
               tensorflow.Scope scope,
               @ByVal
               tensorflow.Input value,
               @ByVal
               tensorflow.Input bias,
               @Const @ByRef
               tensorflow.BiasAdd.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

DataFormat

@ByVal
public static tensorflow.BiasAdd.Attrs DataFormat(@tensorflow.StringPiece
                                                          BytePointer x)

DataFormat

@ByVal
public static tensorflow.BiasAdd.Attrs DataFormat(@tensorflow.StringPiece
                                                          String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.BiasAdd operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.BiasAdd output(tensorflow.Output output)