IMPORTANT: To view this page as Markdown, append `.md` to the URL (e.g. /docs/manual/basics.md). For the complete Mojo documentation index, see llms.txt.
Skip to main content
Version: 1.0.0b2
For the complete Mojo documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /docs/manual/basics.md).

randn

def randn[dtype: DType](span: Span[Scalar[dtype]], mean: Float64 = 0, standard_deviation: Float64 = 1)

Fills memory with random values from a Normal distribution.

Constraints:

The type should be floating point.

Parameters:

  • ​dtype (DType): The dtype of the pointer.

Args:

  • ​span (Span[Scalar[dtype]]): The memory area to fill.
  • ​mean (Float64): The mean of the normal distribution.
  • ​standard_deviation (Float64): The standard deviation of the normal distribution.

def randn[dtype: DType](ptr: UnsafePointer[Scalar[dtype], address_space=ptr.address_space], size: Int, mean: Float64 = 0, standard_deviation: Float64 = 1)

Fills memory with random values from a Normal distribution.

Example:

from std.random import randn, seed

seed()
var size: Int = 10
var data = List(length=size, fill=Float64(0))
randn(data, mean=0.0, standard_deviation=1.0)
for i in range(size):
    print(data[i])  # Random Float64 from Normal(0.0, 1.0)

Constraints:

The type should be floating point.

Parameters:

  • ​dtype (DType): The dtype of the pointer.

Args:

View source