org.bytedeco.javacpp

Class tensorflow.SparseSoftmaxCrossEntropyWithLogits

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSoftmaxCrossEntropyWithLogits

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Computes softmax cross entropy cost and gradients to backpropagate. Unlike SoftmaxCrossEntropyWithLogits, this operation does not accept a matrix of label probabilities, but rather a single label per row of features. This label is considered to have probability 1.0 for the given row. Inputs are the logits, not probabilities. Arguments: * scope: A Scope object * features: batch_size x num_classes matrix * labels: batch_size vector with values in [0, num_classes). This is the label for the given minibatch entry. Returns: * Output loss: Per example loss (batch_size vector). * Output backprop: backpropagated gradients (batch_size x num_classes matrix).

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
SparseSoftmaxCrossEntropyWithLogits(Pointer p) Pointer cast constructor.
SparseSoftmaxCrossEntropyWithLogits(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input labels)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	backprop()
tensorflow.SparseSoftmaxCrossEntropyWithLogits	backprop(tensorflow.Output backprop)
tensorflow.Output	loss()
tensorflow.SparseSoftmaxCrossEntropyWithLogits	loss(tensorflow.Output loss)
tensorflow.Operation	operation()
tensorflow.SparseSoftmaxCrossEntropyWithLogits	operation(tensorflow.Operation operation)

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

SparseSoftmaxCrossEntropyWithLogits

public SparseSoftmaxCrossEntropyWithLogits(Pointer p)

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

SparseSoftmaxCrossEntropyWithLogits

public SparseSoftmaxCrossEntropyWithLogits(@Const @ByRef
                                           tensorflow.Scope scope,
                                           @ByVal
                                           tensorflow.Input features,
                                           @ByVal
                                           tensorflow.Input labels)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseSoftmaxCrossEntropyWithLogits operation(tensorflow.Operation operation)

loss

@ByRef
public tensorflow.Output loss()

loss

public tensorflow.SparseSoftmaxCrossEntropyWithLogits loss(tensorflow.Output loss)

backprop

@ByRef
public tensorflow.Output backprop()

backprop

public tensorflow.SparseSoftmaxCrossEntropyWithLogits backprop(tensorflow.Output backprop)