org.bytedeco.javacpp

Class tensorflow.SparseSoftmax

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSoftmax

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Applies softmax to a batched N-D SparseTensor. The inputs represent an N-D SparseTensor with logical shape [..., B, C] (where N >= 2), and with indices sorted in the canonical lexicographic order. This op is equivalent to applying the normal tf.nn.softmax() to each innermost logical submatrix with shape [B, C], but with the catch that *the implicitly zero elements do not participate*. Specifically, the algorithm is equivalent to the following: (1) Applies tf.nn.softmax() to a densified view of each innermost submatrix with shape [B, C], along the size-C dimension; (2) Masks out the original implicitly-zero locations; (3) Renormalizes the remaining elements. Hence, the SparseTensor result has exactly the same non-zero indices and shape. Arguments: * scope: A Scope object * sp_indices: 2-D. NNZ x R matrix with the indices of non-empty values in a SparseTensor, in canonical ordering. * sp_values: 1-D. NNZ non-empty values corresponding to sp_indices. * sp_shape: 1-D. Shape of the input SparseTensor. Returns: * Output: 1-D. The NNZ values for the result SparseTensor.

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
SparseSoftmax(Pointer p) Pointer cast constructor.
SparseSoftmax(tensorflow.Scope scope, tensorflow.Input sp_indices, tensorflow.Input sp_values, tensorflow.Input sp_shape)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SparseSoftmax	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.SparseSoftmax	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

SparseSoftmax

public SparseSoftmax(Pointer p)

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

SparseSoftmax

public SparseSoftmax(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input sp_indices,
                     @ByVal
                     tensorflow.Input sp_values,
                     @ByVal
                     tensorflow.Input sp_shape)

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()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseSoftmax operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.SparseSoftmax output(tensorflow.Output output)