Applies set operation along last dimension of 2 SparseTensor inputs.
tf.raw_ops.SparseToSparseSetOperation(
set1_indices,
set1_values,
set1_shape,
set2_indices,
set2_values,
set2_shape,
set_operation,
validate_indices=True,
name=None
)
See SetOperationOp::SetOperationFromContext for values of set_operation.
If validate_indices is True, SparseToSparseSetOperation validates the
order and range of set1 and set2 indices.
Input set1 is a SparseTensor represented by set1_indices, set1_values,
and set1_shape. For set1 ranked n, 1st n-1 dimensions must be the same
as set2. Dimension n contains values in a set, duplicates are allowed but
ignored.
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 set1
and 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_indices
Tensor of type int64.
2D Tensor, indices of a SparseTensor. Must be in row-major
order.
set1_values
Tensor. Must be one of the following types: int8, int16, int32, int64, uint8, uint16, string.
1D Tensor, values of a SparseTensor. Must be in row-major
order.
set1_shape
Tensor of type int64.
1D Tensor, shape of a SparseTensor. set1_shape[0...n-1] must
be the same as set2_shape[0...n-1], set1_shape[n] is the
max set size across 0...n-1 dimensions.
set2_indices
Tensor of type int64.
2D Tensor, indices of a SparseTensor. Must be in row-major
order.
set2_values
Tensor. Must have the same type as set1_values.
1D Tensor, values of a SparseTensor. Must be in row-major
order.
set2_shape
Tensor of type int64.
1D Tensor, shape of a SparseTensor. set2_shape[0...n-1] must
be the same as set1_shape[0...n-1], set2_shape[n] is the
max set size across 0...n-1 dimensions.
set_operation
string.
validate_indices
bool. Defaults to True.
name