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> | |
Output<TBool> |
emptyRowIndicator()
1-D.
|
Output<TInt64> | |
Output<T> |
outputValues()
1-D.
|
Output<TInt64> |
reverseIndexMap()
1-D.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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.