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.

  • x (Tensor) - The tensor need to be unique. Must be 1-D vector with types: int32, int64.

  • pad_num (int) - Pad num. The data type is an int.


tuple(Tensor), tuple of 2 tensors, y and idx. - y (Tensor) - The unique elements filled with pad_num, the shape and data type same as x. - idx (Tensor) - The index of each value of x in the unique output y, the shape and data type same as x.

  • TypeError – If dtype of x is neither int32 nor int64.

  • ValueError – If length of shape of x is not equal to 1.

Supported Platforms:

Ascend CPU


>>> x = Tensor(np.array([1, 1, 5, 5, 4, 4, 3, 3, 2, 2,]), mindspore.int32)
>>> pad_num = 8
>>> output = ops.UniqueWithPad()(x, pad_num)
>>> print(output)
(Tensor(shape=[10], dtype=Int32, value= [1, 5, 4, 3, 2, 8, 8, 8, 8, 8]),
 Tensor(shape=[10], dtype=Int32, value= [0, 0, 1, 1, 2, 2, 3, 3, 4, 4]))