org.bytedeco.javacpp

Class tensorflow.SparseFillEmptyRows

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseFillEmptyRows

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Fills empty rows in the input 2-D SparseTensor with a default value. The input SparseTensor is represented via the tuple of inputs (indices, values, dense_shape). The output SparseTensor has the same dense_shape but with indices output_indices and values output_values. This op inserts a single entry for every row that doesn't have any values. The index is created as [row, 0, ..., 0] and the inserted value is default_value. For example, suppose sp_input has shape [5, 6] and non-empty values: [0, 1]: a [0, 3]: b [2, 0]: c [3, 1]: d Rows 1 and 4 are empty, so the output will be of shape [5, 6] with values: [0, 1]: a [0, 3]: b [1, 0]: default_value [2, 0]: c [3, 1]: d [4, 0]: default_value The output SparseTensor will be in row-major order and will have the same shape as the input. This op also returns an indicator vector shaped [dense_shape[0]] such that empty_row_indicator[i] = True iff row i was an empty row. And a reverse index map vector shaped [indices.shape[0]] that is used during backpropagation, reverse_index_map[j] = out_j s.t. indices[j, :] == output_indices[out_j, :] Arguments: * scope: A Scope object * indices: 2-D. the indices of the sparse tensor. * values: 1-D. the values of the sparse tensor. * dense_shape: 1-D. the shape of the sparse tensor. * default_value: 0-D. default value to insert into location [row, 0, ..., 0] for rows missing from the input sparse tensor. output indices: 2-D. the indices of the filled sparse tensor. Returns: * Output output_indices * Output output_values: 1-D. the values of the filled sparse tensor. * Output empty_row_indicator: 1-D. whether the dense row was missing in the input sparse tensor. * Output reverse_index_map: 1-D. a map from the input indices to the output indices.

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
SparseFillEmptyRows(Pointer p) Pointer cast constructor.
SparseFillEmptyRows(tensorflow.Scope scope, tensorflow.Input indices, tensorflow.Input values, tensorflow.Input dense_shape, tensorflow.Input default_value)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	empty_row_indicator()
tensorflow.SparseFillEmptyRows	empty_row_indicator(tensorflow.Output empty_row_indicator)
tensorflow.Operation	operation()
tensorflow.SparseFillEmptyRows	operation(tensorflow.Operation operation)
tensorflow.Output	output_indices()
tensorflow.SparseFillEmptyRows	output_indices(tensorflow.Output output_indices)
tensorflow.Output	output_values()
tensorflow.SparseFillEmptyRows	output_values(tensorflow.Output output_values)
tensorflow.Output	reverse_index_map()
tensorflow.SparseFillEmptyRows	reverse_index_map(tensorflow.Output reverse_index_map)

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

SparseFillEmptyRows

public SparseFillEmptyRows(Pointer p)

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

SparseFillEmptyRows

public SparseFillEmptyRows(@Const @ByRef
                           tensorflow.Scope scope,
                           @ByVal
                           tensorflow.Input indices,
                           @ByVal
                           tensorflow.Input values,
                           @ByVal
                           tensorflow.Input dense_shape,
                           @ByVal
                           tensorflow.Input default_value)

Method Detail

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseFillEmptyRows operation(tensorflow.Operation operation)

output_indices

@ByRef
public tensorflow.Output output_indices()

output_indices

public tensorflow.SparseFillEmptyRows output_indices(tensorflow.Output output_indices)

output_values

@ByRef
public tensorflow.Output output_values()

output_values

public tensorflow.SparseFillEmptyRows output_values(tensorflow.Output output_values)

empty_row_indicator

@ByRef
public tensorflow.Output empty_row_indicator()

empty_row_indicator

public tensorflow.SparseFillEmptyRows empty_row_indicator(tensorflow.Output empty_row_indicator)

reverse_index_map

@ByRef
public tensorflow.Output reverse_index_map()

reverse_index_map

public tensorflow.SparseFillEmptyRows reverse_index_map(tensorflow.Output reverse_index_map)