tf.contrib.metrics.set_difference()

tf.contrib.metrics.set_difference(a, b, aminusb=True, validate_indices=True)

Compute set difference of elements in last dimension of a and b.

All but the last dimension of a and b must match.

Args:

• a: Tensor or SparseTensor of the same type as b. If sparse, indices must be sorted in row-major order.
• b: Tensor or SparseTensor of the same type as a. Must be SparseTensor if a is SparseTensor. If sparse, indices must be sorted in row-major order.
• aminusb: Whether to subtract b from a, vs vice versa.
• validate_indices: Whether to validate the order and range of sparse indices in a and b.

Returns:

A SparseTensor with the same rank as a and b, and all but the last dimension the same. Elements along the last dimension contain the differences.