SparseFillEmptyRows

public final class SparseFillEmptyRows

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, :]

Constants

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

Public Methods

static <T extends TType> SparseFillEmptyRows<T>	create(Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> defaultValue) Factory method to create a class wrapping a new SparseFillEmptyRows operation.
Output<TBool>	emptyRowIndicator() 1-D.
Output<TInt64>	outputIndices()
Output<T>	outputValues() 1-D.
Output<TInt64>	reverseIndexMap() 1-D.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

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()

From interface 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`.

Constants

public static final String OP_NAME

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

Constant Value: "SparseFillEmptyRows"

Public Methods

public static SparseFillEmptyRows<T> create (Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> defaultValue)

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

Parameters

scope	current scope
indices	2-D. the indices of the sparse tensor.
values	1-D. the values of the sparse tensor.
denseShape	1-D. the shape of the sparse tensor.
defaultValue	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

a new instance of SparseFillEmptyRows

public Output<TBool> emptyRowIndicator ()

1-D. whether the dense row was missing in the input sparse tensor.

public Output<TInt64> outputIndices ()

public Output<T> outputValues ()

1-D. the values of the filled sparse tensor.

public Output<TInt64> reverseIndexMap ()

1-D. a map from the input indices to the output indices.