Applies set operation along last dimension of Tensor
and SparseTensor
.
tf.raw_ops.DenseToSparseSetOperation(
set1, set2_indices, set2_values, set2_shape, set_operation,
validate_indices=True, name=None
)
See SetOperationOp::SetOperationFromContext for values of set_operation
.
Input set2
is a SparseTensor
represented by set2_indices
, set2_values
,
and set2_shape
. For set2
ranked n
, 1st n-1
dimensions must be the same
as set1
. Dimension n
contains values in a set, duplicates are allowed but
ignored.
If validate_indices
is True
, this op validates the order and range of set2
indices.
Output result
is a SparseTensor
represented by result_indices
,
result_values
, and result_shape
. For set1
and set2
ranked n
, this
has rank n
and the same 1st n-1
dimensions as set1
and set2
. The nth
dimension contains the result of set_operation
applied to the corresponding
[0...n-1]
dimension of set
.
Args | |
---|---|
set1
|
A Tensor . Must be one of the following types: int8 , int16 , int32 , int64 , uint8 , uint16 , string .
Tensor with rank n . 1st n-1 dimensions must be the same as set2 .
Dimension n contains values in a set, duplicates are allowed but ignored.
|
set2_indices
|
A Tensor of type int64 .
2D Tensor , indices of a SparseTensor . Must be in row-major
order.
|
set2_values
|
A Tensor . Must have the same type as set1 .
1D Tensor , values of a SparseTensor . Must be in row-major
order.
|
set2_shape
|
A Tensor of type int64 .
1D Tensor , shape of a SparseTensor . set2_shape[0...n-1] must
be the same as the 1st n-1 dimensions of set1 , result_shape[n] is the
max set size across n-1 dimensions.
|
set_operation
|
A string .
|
validate_indices
|
An optional bool . Defaults to True .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A tuple of Tensor objects (result_indices, result_values, result_shape).
|
|
result_indices
|
A Tensor of type int64 .
|
result_values
|
A Tensor . Has the same type as set1 .
|
result_shape
|
A Tensor of type int64 .
|