org.bytedeco.javacpp

Class tensorflow.PreventGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.PreventGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

An identity op that triggers an error if a gradient is requested. When executed in a graph, this op outputs its input tensor as-is. When building ops to compute gradients, the TensorFlow gradient system will return an error when trying to lookup the gradient of this op, because no gradient must ever be registered for this function. This op exists to prevent subtle bugs from silently returning unimplemented gradients in some corner cases. Arguments: * scope: A Scope object * input: any tensor. Optional attributes (see Attrs): * message: Will be printed in the error when anyone tries to differentiate this operation. Returns: * Output: the same input tensor.

Nested Class Summary

Nested Classes

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

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
PreventGradient(Pointer p) Pointer cast constructor.
PreventGradient(tensorflow.Scope scope, tensorflow.Input input)
PreventGradient(tensorflow.Scope scope, tensorflow.Input input, tensorflow.PreventGradient.Attrs attrs)

Method Summary

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

PreventGradient

public PreventGradient(Pointer p)

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

PreventGradient

public PreventGradient(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input input)

PreventGradient

public PreventGradient(@Const @ByRef
                       tensorflow.Scope scope,
                       @ByVal
                       tensorflow.Input input,
                       @Const @ByRef
                       tensorflow.PreventGradient.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()

Message

@ByVal
public static tensorflow.PreventGradient.Attrs Message(@tensorflow.StringPiece
                                                               BytePointer x)

Message

@ByVal
public static tensorflow.PreventGradient.Attrs Message(@tensorflow.StringPiece
                                                               String x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.PreventGradient operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.PreventGradient output(tensorflow.Output output)