org.bytedeco.javacpp

Class tensorflow.SparseReshape

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseReshape

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Reshapes a SparseTensor to represent values in a new dense shape. This operation has the same semantics as reshape on the represented dense tensor. The input_indices are recomputed based on the requested new_shape. If one component of new_shape is the special value -1, the size of that dimension is computed so that the total dense size remains constant. At most one component of new_shape can be -1. The number of dense elements implied by new_shape must be the same as the number of dense elements originally implied by input_shape. Reshaping does not affect the order of values in the SparseTensor. If the input tensor has rank R_in and N non-empty values, and new_shape has length R_out, then input_indices has shape [N, R_in], input_shape has length R_in, output_indices has shape [N, R_out], and output_shape has length R_out. Arguments: * scope: A Scope object * input_indices: 2-D. N x R_in matrix with the indices of non-empty values in a SparseTensor. * input_shape: 1-D. R_in vector with the input SparseTensor's dense shape. * new_shape: 1-D. R_out vector with the requested new dense shape. Returns: * Output output_indices: 2-D. N x R_out matrix with the updated indices of non-empty values in the output SparseTensor. * Output output_shape: 1-D. R_out vector with the full dense shape of the output SparseTensor. This is the same as new_shape but with any -1 dimensions filled in.

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
SparseReshape(Pointer p) Pointer cast constructor.
SparseReshape(tensorflow.Scope scope, tensorflow.Input input_indices, tensorflow.Input input_shape, tensorflow.Input new_shape)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.SparseReshape	operation(tensorflow.Operation operation)
tensorflow.Output	output_indices()
tensorflow.SparseReshape	output_indices(tensorflow.Output output_indices)
tensorflow.Output	output_shape()
tensorflow.SparseReshape	output_shape(tensorflow.Output output_shape)

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

SparseReshape

public SparseReshape(Pointer p)

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

SparseReshape

public SparseReshape(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input input_indices,
                     @ByVal
                     tensorflow.Input input_shape,
                     @ByVal
                     tensorflow.Input new_shape)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseReshape operation(tensorflow.Operation operation)

output_indices

@ByRef
public tensorflow.Output output_indices()

output_indices

public tensorflow.SparseReshape output_indices(tensorflow.Output output_indices)

output_shape

@ByRef
public tensorflow.Output output_shape()

output_shape

public tensorflow.SparseReshape output_shape(tensorflow.Output output_shape)