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Sample from a normal distribution on mlx arrays

Source: R/random.R
mlx_rand_normal.Rd

Sample from a normal distribution on mlx arrays

Usage

mlx_rand_normal(
  dim,
  mean = 0,
  sd = 1,
  dtype = c("float32", "float64"),
  device = mlx_default_device()
)

Arguments

dim

Integer vector specifying array dimensions (shape).

mean

Mean of the normal distribution.

sd

Standard deviation of the normal distribution.

dtype

Data type string. Supported types include:

  • Floating point: "float32", "float64"

  • Integer: "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"

  • Other: "bool", "complex64"

Not all functions support all types. See individual function documentation.

device

Execution target: supply "gpu", "cpu", or an mlx_stream created via mlx_new_stream(). Defaults to the current mlx_default_device() unless noted otherwise (helpers that act on an existing array typically reuse that array's device or stream).

Value

An mlx array with normally distributed entries.

See also

mlx.core.random.normal

Examples

weights <- mlx_rand_normal(c(3, 3), mean = 0, sd = 0.1)