Method randn

tinygrad/tensor.py:653–666

Creates a tensor with the given shape, filled with random values from a normal distribution with mean `0` and standard deviation `1`. If `dtype` is not specified, the default type is used. You can pass in the `device` keyword argument to control device of the tensor. Additionally,

(*shape, dtype:DTypeLike|None=None, **kwargs)

  @staticmethod
  def randn(*shape, dtype:DTypeLike|None=None, **kwargs) -> Tensor:
    """
    Creates a tensor with the given shape, filled with random values from a normal distribution with mean `0` and standard deviation `1`.
    If `dtype` is not specified, the default type is used.

    You can pass in the `device` keyword argument to control device of the tensor.
    Additionally, all other keyword arguments are passed to the constructor of the tensor.

    ```python exec="true" source="above" session="tensor" result="python"
    Tensor.manual_seed(42)
    print(Tensor.randn(2, 3).numpy())
    ```
    """
    return Tensor.empty(*shape, **kwargs).randn_like(dtype=dtype)

  @staticmethod
  def randint(*shape, low=0, high=10, dtype=dtypes.int32, **kwargs) -> Tensor: