SparseToDense

public final class SparseToDense

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.

Nested Classes

class SparseToDense.Options Optional attributes for SparseToDense  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static <U extends TType, T extends TNumber> SparseToDense<U>
create(Scope scope, Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, Options... options)
Factory method to create a class wrapping a new SparseToDense operation.
Output<U>
dense()
Dense output tensor of shape `output_shape`.
static SparseToDense.Options
validateIndices(Boolean validateIndices)

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<U extends TType>
asOutput()
Returns the symbolic handle of the tensor.
abstract U extends TType
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TType>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseToDense"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static SparseToDense<U> create (Scope scope, Operand<T> sparseIndices, Operand<T> outputShape, Operand<U> sparseValues, Operand<U> defaultValue, Options... options)

Factory method to create a class wrapping a new SparseToDense operation.

Parameters
scope current scope
sparseIndices 0-D, 1-D, or 2-D. `sparse_indices[i]` contains the complete index where `sparse_values[i]` will be placed.
outputShape 1-D. Shape of the dense output tensor.
sparseValues 1-D. Values corresponding to each row of `sparse_indices`, or a scalar value to be used for all sparse indices.
defaultValue Scalar value to set for indices not specified in `sparse_indices`.
options carries optional attributes values
Returns
  • a new instance of SparseToDense

public Output<U> dense ()

Dense output tensor of shape `output_shape`.

public static SparseToDense.Options validateIndices (Boolean validateIndices)

Parameters
validateIndices If true, indices are checked to make sure they are sorted in lexicographic order and that there are no repeats.