mindspore.dataset.transforms.c_transforms.Unique

class mindspore.dataset.transforms.c_transforms.Unique

Return an output tensor containing all the unique elements of the input tensor in the same order that they occur in the input tensor.

Also return an index tensor that contains the index of each element of the input tensor in the Unique output tensor.

Finally, return a count tensor that constains the count of each element of the output tensor in the input tensor.

Note

Call batch op before calling this function.

Examples

>>> import mindspore.dataset.transforms.c_transforms as c_transforms
>>>
>>> # Data before
>>> # |  x                 |
>>> # +--------------------+
>>> # | [[0,1,2], [1,2,3]] |
>>> # +--------------------+
>>> data1 = data1.map(operations=c_transforms.Unique(), input_columns=["x"],
>>>         output_columns=["x", "y", "z"], column_order=["x", "y", "z"])
>>> # Data after
>>> # |  x      |  y              |z        |
>>> # +---------+-----------------+---------+
>>> # | [0,1,2,3] | [0,1,2,1,2,3] | [1,2,2,1]
>>> # +---------+-----------------+---------+