org.bytedeco.javacpp

Class tensorflow.SparseToDense

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.SparseToDense

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Converts a sparse representation into a dense tensor. Builds an array dense with shape output_shape such that

  # If sparse_indices is scalar
  dense[i] = (i == sparse_indices ? sparse_values : default_value)
 
  # If sparse_indices is a vector, then for each i
  dense[sparse_indices[i]] = sparse_values[i]
 
  # If sparse_indices is an n by d matrix, then for each i in [0, n)
  dense[sparse_indices[i][0], ..., sparse_indices[i][d-1]] = sparse_values[i]
  

All other values in dense are set to default_value. If sparse_values is a scalar, all sparse indices are set to this single value. Indices should be sorted in lexicographic order, and indices must not contain any repeats. If validate_indices is true, these properties are checked during execution. Arguments: * scope: A Scope object * sparse_indices: 0-D, 1-D, or 2-D. sparse_indices[i] contains the complete index where sparse_values[i] will be placed. * output_shape: 1-D. Shape of the dense output tensor. * sparse_values: 1-D. Values corresponding to each row of sparse_indices, or a scalar value to be used for all sparse indices. * default_value: Scalar value to set for indices not specified in sparse_indices. Optional attributes (see Attrs): * validate_indices: If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats. Returns: * Output: Dense output tensor of shape output_shape.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.SparseToDense.Attrs Optional attribute setters for SparseToDense

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
SparseToDense(Pointer p) Pointer cast constructor.
SparseToDense(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input output_shape, tensorflow.Input sparse_values, tensorflow.Input default_value)
SparseToDense(tensorflow.Scope scope, tensorflow.Input sparse_indices, tensorflow.Input output_shape, tensorflow.Input sparse_values, tensorflow.Input default_value, tensorflow.SparseToDense.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Output	dense()
tensorflow.SparseToDense	dense(tensorflow.Output dense)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.SparseToDense	operation(tensorflow.Operation operation)
static tensorflow.SparseToDense.Attrs	ValidateIndices(boolean x)

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

SparseToDense

public SparseToDense(Pointer p)

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

SparseToDense

public SparseToDense(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input sparse_indices,
                     @ByVal
                     tensorflow.Input output_shape,
                     @ByVal
                     tensorflow.Input sparse_values,
                     @ByVal
                     tensorflow.Input default_value)

SparseToDense

public SparseToDense(@Const @ByRef
                     tensorflow.Scope scope,
                     @ByVal
                     tensorflow.Input sparse_indices,
                     @ByVal
                     tensorflow.Input output_shape,
                     @ByVal
                     tensorflow.Input sparse_values,
                     @ByVal
                     tensorflow.Input default_value,
                     @Const @ByRef
                     tensorflow.SparseToDense.Attrs attrs)

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()

ValidateIndices

@ByVal
public static tensorflow.SparseToDense.Attrs ValidateIndices(@Cast(value="bool")
                                                                     boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.SparseToDense operation(tensorflow.Operation operation)

dense

@ByRef
public tensorflow.Output dense()

dense

public tensorflow.SparseToDense dense(tensorflow.Output dense)