Random sampling (cunumeric.random)#

Random Generator#

default_rng

cuNumeric has not implemented this function, and will fall back to NumPy.

Bit Generators#

Seeding and State#

seed([init])

Simple random data#

default_rng

cuNumeric has not implemented this function, and will fall back to NumPy.

rand(d0, d1, ..., dn)

Random values in a given shape.

randn(d0, d1, ..., dn)

Return a sample (or samples) from the "standard normal" distribution.

randint(low[, high, size, dtype])

Return random integers from low (inclusive) to high (exclusive).

random([size])

Return random floats in the half-open interval [0.0, 1.0).

random_integers

cuNumeric has not implemented this function, and will fall back to NumPy.

random_sample

cuNumeric has not implemented this function, and will fall back to NumPy.

bytes

cuNumeric has not implemented this function, and will fall back to NumPy.

Distributions#

beta

cuNumeric has not implemented this function, and will fall back to NumPy.

binomial

cuNumeric has not implemented this function, and will fall back to NumPy.

chisquare

cuNumeric has not implemented this function, and will fall back to NumPy.

exponential

cuNumeric has not implemented this function, and will fall back to NumPy.

f

cuNumeric has not implemented this function, and will fall back to NumPy.

gamma

cuNumeric has not implemented this function, and will fall back to NumPy.

geometric

cuNumeric has not implemented this function, and will fall back to NumPy.

gumbel

cuNumeric has not implemented this function, and will fall back to NumPy.

hypergeometric

cuNumeric has not implemented this function, and will fall back to NumPy.

laplace

cuNumeric has not implemented this function, and will fall back to NumPy.

logistic

cuNumeric has not implemented this function, and will fall back to NumPy.

lognormal

cuNumeric has not implemented this function, and will fall back to NumPy.

logseries

cuNumeric has not implemented this function, and will fall back to NumPy.

negative_binomial

cuNumeric has not implemented this function, and will fall back to NumPy.

noncentral_chisquare

cuNumeric has not implemented this function, and will fall back to NumPy.

noncentral_f

cuNumeric has not implemented this function, and will fall back to NumPy.

normal

cuNumeric has not implemented this function, and will fall back to NumPy.

pareto

cuNumeric has not implemented this function, and will fall back to NumPy.

poisson

cuNumeric has not implemented this function, and will fall back to NumPy.

power

cuNumeric has not implemented this function, and will fall back to NumPy.

ranf

cuNumeric has not implemented this function, and will fall back to NumPy.

rayleigh

cuNumeric has not implemented this function, and will fall back to NumPy.

sample

cuNumeric has not implemented this function, and will fall back to NumPy.

standard_cauchy

cuNumeric has not implemented this function, and will fall back to NumPy.

standard_exponential

cuNumeric has not implemented this function, and will fall back to NumPy.

standard_gamma

cuNumeric has not implemented this function, and will fall back to NumPy.

standard_t

cuNumeric has not implemented this function, and will fall back to NumPy.

triangular

cuNumeric has not implemented this function, and will fall back to NumPy.

uniform

cuNumeric has not implemented this function, and will fall back to NumPy.

vonmises

cuNumeric has not implemented this function, and will fall back to NumPy.

wald

cuNumeric has not implemented this function, and will fall back to NumPy.

weibull

cuNumeric has not implemented this function, and will fall back to NumPy.

zipf

cuNumeric has not implemented this function, and will fall back to NumPy.