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).

rand

def rand[dtype: DType](span: Span[Scalar[dtype]], /, *, min: Float64 = 0, max: Float64 = 1, int_scale: Optional[Int] = None)

Fills memory with random values from a uniform distribution.

Behavior depends on the dtype:

  • Floating-point types sample values uniformly from [min, max).
  • Integral types sample values uniformly from [min, max], clamped to the representable range of the dtype.

Parameters:

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

Args:

  • span (Span[Scalar[dtype]]): The memory area to fill.
  • min (Float64): The lower bound of the range.
  • max (Float64): The upper bound of the range.
  • int_scale (Optional[Int]): Optional quantization scale for floating-point types. When provided, values are quantized to increments of 2^(-int_scale).

def rand[dtype: DType](ptr: UnsafePointer[Scalar[dtype], address_space=ptr.address_space], size: Int, /, *, min: Float64 = 0, max: Float64 = 1, int_scale: Optional[Int] = None)

Fills memory with random values from a uniform distribution.

Behavior depends on the dtype:

  • Floating-point types sample values uniformly from [min, max).
  • Integral types sample values uniformly from [min, max], clamped to the representable range of the dtype.

Example:

from std.random import rand, seed

seed()
var size: Int = 10
var data = List(length=size, fill=Float32(0))
rand(data, min=0.0, max=1.0, int_scale=16)
for i in range(size):
print(data[i]) # Random Float32 between 0.0 and 1.0

Parameters:

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

Args: