tf.raw_ops.DenseToDenseSetOperation

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.

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).

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.