org.bytedeco.javacpp

Class tensorflow.IdentityN

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.IdentityN

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Returns a list of tensors with the same shapes and contents as the input tensors. This op can be used to override the gradient for complicated functions. For example, suppose y = f(x) and we wish to apply a custom function g for backprop such that dx = g(dy). In Python,

 python
  with tf.get_default_graph().gradient_override_map(
      {'IdentityN': 'OverrideGradientWithG'}):
    y, _ = identity_n([f(x), x])

Nested Class Summary

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
IdentityN(Pointer p) Pointer cast constructor.
IdentityN(tensorflow.Scope scope, tensorflow.InputList input)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	get(long index)
tensorflow.Operation	operation()
tensorflow.IdentityN	operation(tensorflow.Operation operation)
tensorflow.OutputVector	output()
tensorflow.IdentityN	output(tensorflow.OutputVector 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

IdentityN

public IdentityN(Pointer p)

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

IdentityN

public IdentityN(@Const @ByRef
                 tensorflow.Scope scope,
                 @ByVal
                 tensorflow.InputList input)

Method Detail

get

@ByVal
 @Name(value="operator []")
public tensorflow.Output get(@Cast(value="size_t")
                                                                  long index)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.IdentityN operation(tensorflow.Operation operation)

output

@ByRef
 @Cast(value="tensorflow::OutputList*")
public tensorflow.OutputVector output()

output

public tensorflow.IdentityN output(tensorflow.OutputVector output)