org.bytedeco.javacpp

Class tensorflow.SparseSplit

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseSplit

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Split a SparseTensor into num_split tensors along one dimension. If the shape[split_dim] is not an integer multiple of num_split. Slices [0 : shape[split_dim] % num_split] gets one extra dimension. For example, if split_dim = 1 and num_split = 2 and the input is input_tensor = shape = [2, 7] [ a d e ] [b c ] Graphically the output tensors are: output_tensor[0] = shape = [2, 4] [ a ] [b c ] output_tensor[1] = shape = [2, 3] [ d e ] [ ] Arguments: * scope: A Scope object * split_dim: 0-D. The dimension along which to split. Must be in the range [0, rank(shape)). * indices: 2-D tensor represents the indices of the sparse tensor. * values: 1-D tensor represents the values of the sparse tensor. * shape: 1-D. tensor represents the shape of the sparse tensor. output indices: A list of 1-D tensors represents the indices of the output sparse tensors. * num_split: The number of ways to split. Returns: * OutputList output_indices * OutputList output_values: A list of 1-D tensors represents the values of the output sparse tensors. * OutputList output_shape: A list of 1-D tensors represents the shape of the output sparse tensors.

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
SparseSplit(Pointer p) Pointer cast constructor.
SparseSplit(tensorflow.Scope scope, tensorflow.Input split_dim, tensorflow.Input indices, tensorflow.Input values, tensorflow.Input shape, long num_split)

Method Summary

Modifier and Type	Method and Description
tensorflow.Operation	operation()
tensorflow.SparseSplit	operation(tensorflow.Operation operation)
tensorflow.OutputVector	output_indices()
tensorflow.SparseSplit	output_indices(tensorflow.OutputVector output_indices)
tensorflow.OutputVector	output_shape()
tensorflow.SparseSplit	output_shape(tensorflow.OutputVector output_shape)
tensorflow.OutputVector	output_values()
tensorflow.SparseSplit	output_values(tensorflow.OutputVector output_values)

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

SparseSplit

public SparseSplit(Pointer p)

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

SparseSplit

public SparseSplit(@Const @ByRef
                   tensorflow.Scope scope,
                   @ByVal
                   tensorflow.Input split_dim,
                   @ByVal
                   tensorflow.Input indices,
                   @ByVal
                   tensorflow.Input values,
                   @ByVal
                   tensorflow.Input shape,
                   @Cast(value="tensorflow::int64")
                   long num_split)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseSplit operation(tensorflow.Operation operation)

output_indices

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

output_indices

public tensorflow.SparseSplit output_indices(tensorflow.OutputVector output_indices)

output_values

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

output_values

public tensorflow.SparseSplit output_values(tensorflow.OutputVector output_values)

output_shape

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

output_shape

public tensorflow.SparseSplit output_shape(tensorflow.OutputVector output_shape)