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Sample random integers on mlx arrays

Source: R/random.R
mlx_rand_randint.Rd

Generates random integers uniformly distributed over the interval [low, high).

Usage

mlx_rand_randint(
  dim,
  low,
  high,
  dtype = c("int32", "int64", "uint32", "uint64"),
  device = mlx_default_device()
)

Arguments

dim

Integer vector specifying array dimensions (shape).

low

Lower bound (inclusive).

high

Upper bound (exclusive).

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 of random integers.

See also

mlx.core.random.randint

Examples

# Random integers from 0 to 9
samples <- mlx_rand_randint(c(3, 3), low = 0, high = 10)

# Random integers from -5 to 4
samples <- mlx_rand_randint(c(2, 5), low = -5, high = 5)