mindspore.ops.Randperm
- class mindspore.ops.Randperm(max_length=1, pad=- 1, dtype=mstype.int32)[source]
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.
- 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:
mstype.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
>>> import mindspore >>> from mindspore import Tensor, ops >>> # 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]