Applies set operation along last dimension of 2 Tensor inputs.
tf.raw_ops.DenseToDenseSetOperation(
set1, set2, set_operation, validate_indices=True, name=None
)
See SetOperationOp::SetOperationFromContext for values of set_operation.
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
|
A Tensor. Must have the same type as set1.
Tensor with rank n. 1st n-1 dimensions must be the same as set1.
Dimension n contains values in a set, duplicates are allowed but ignored.
|
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.
|
