Method randperm

tinygrad/tensor.py:787–796

Returns a tensor with a random permutation of integers from `0` to `n-1`. ```python exec="true" source="above" session="tensor" result="python" Tensor.manual_seed(42) print(Tensor.randperm(6).numpy()) ```

(n:int, device=None, dtype=dtypes.int32, **kwargs)

  @staticmethod
  def randperm(n:int, device=None, dtype=dtypes.int32, **kwargs) -> Tensor:
    """
    Returns a tensor with a random permutation of integers from `0` to `n-1`.

    ```python exec="true" source="above" session="tensor" result="python"
    Tensor.manual_seed(42)
    print(Tensor.randperm(6).numpy())
    ```
    """
    return Tensor.rand(n, device=device, **kwargs).argsort().cast(dtype)

  def multinomial(self:Tensor, num_samples:int = 1, replacement:bool = False) -> Tensor:
    """