mindspore.ops.UniqueWithPad

class mindspore.ops.UniqueWithPad[source]

Returns unique elements and relative indexes in 1-D tensor, filled with padding num.

The basic function is the same as the Unique operator, but the UniqueWithPad operator adds a Pad function. The returned tuple(y, idx) after the input Tensor x is processed by the unique operator, in which the shapes of y and idx are mostly not equal. Therefore, in order to solve the above situation, the UniqueWithPad operator will fill the y Tensor with the pad_num specified by the user to make it have the same shape as the Tensor idx.

Refer to mindspore.ops.unique_with_pad() for more detail.

Supported Platforms:: Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1, 1, 2, 2, 3, 3, 4, 5]), mindspore.int32)
>>> pad_num = 8
>>> output = ops.UniqueWithPad()(x, pad_num)
>>> print(output)
(Tensor(shape=[8], dtype=Int32, value= [1, 2, 3, 4, 5, 8, 8, 8]),
 Tensor(shape=[8], dtype=Int32, value= [0, 0, 1, 1, 2, 2, 3, 4]))