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 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]))