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mindspore.ops.Randperm

class mindspore.ops.Randperm(max_length=1, pad=- 1, dtype=mstype.int32)

Generates n random samples from 0 to n-1 without repeating. If max_length > n, the last max_length-n elements will be filled with pad.

Warning

This is an experimental API that is subject to change or deletion.

Parameters

• max_length (int) – Number of items expected to get and the number must be greater than 0. Default: 1.

• pad (int) – The pad value to be filled. Default: -1.

• dtype (mindspore.dtype) – The type of output. Default: mindspore.int32.

Inputs:

• n (Tensor) - The input tensor with shape $(1,)$ with and dtype int32 or int64. n must be in range [0, max_length].

Outputs:

• output (Tensor) - The output Tensor with shape: (max_length,) and type: dtype.

Raises

• TypeError – If neither max_length nor pad is an int.

• TypeError – If n is not a Tensor.

• TypeError – If n has non-Int elements.

• TypeError – If n has negative elements.

• TypeError – If dtype is not supported.

• ValueError – If n is out of range of dtype.

• ValueError – If n is larger than max_length.

Supported Platforms:

Ascend GPU

Examples

>>> # The result of every execution is different because this operator will generate n random samples.
>>> randperm = ops.Randperm(max_length=30, pad=-1)
>>> n = Tensor([20], dtype=mindspore.int32)
>>> output = randperm(n)
>>> print(output)
[15 6 11 19 14 16 9 5 13 18 4 10 8 0 17 2 1 12 3 7
 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1]