mindspore.ops.UniqueWithPad

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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 details.

Inputs:

  • 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.

Outputs:

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.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> 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]))