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cupy.random

Random Sampling (cupy.random)

Differences between cupy.random and numpy.random:

  • CuPy provides Legacy Random Generation API (see also: NumPy 1.16 Reference). The new random generator API (numpy.random.Generator class) introduced in NumPy 1.17 has not been implemented yet.
  • Most functions under cupy.random support the dtype option, which do not exist in the corresponding NumPy APIs. This option enables generation of float32 values directly without any space overhead.
  • CuPy does not guarantee that the same number generator is used across major versions. This means that numbers generated by cupy.random by new major version may not be the same as the previous one, even if the same seed and distribution are used.

Simple random data

cupy.random.rand cupy.random.randn cupy.random.randint cupy.random.random_integers cupy.random.random_sample cupy.random.random cupy.random.ranf cupy.random.sample cupy.random.choice cupy.random.bytes

Permutations

cupy.random.shuffle cupy.random.permutation

Distributions

cupy.random.beta cupy.random.binomial cupy.random.chisquare cupy.random.dirichlet cupy.random.exponential cupy.random.f cupy.random.gamma cupy.random.geometric cupy.random.gumbel cupy.random.hypergeometric cupy.random.laplace cupy.random.logistic cupy.random.lognormal cupy.random.logseries cupy.random.multinomial cupy.random.multivariate_normal cupy.random.negative_binomial cupy.random.noncentral_chisquare cupy.random.noncentral_f cupy.random.normal cupy.random.pareto cupy.random.poisson cupy.random.power cupy.random.rayleigh cupy.random.standard_cauchy cupy.random.standard_exponential cupy.random.standard_gamma cupy.random.standard_normal cupy.random.standard_t cupy.random.triangular cupy.random.uniform cupy.random.vonmises cupy.random.wald cupy.random.weibull cupy.random.zipf

Random generator

cupy.random.RandomState cupy.random.seed cupy.random.get_random_state cupy.random.set_random_state

Note

CuPy does not provide cupy.random.get_state nor cupy.random.set_state at this time. Use cupy.random.get_random_state and cupy.random.set_random_state instead. Note that these functions use cupy.random.RandomState instance to represent the internal state, which cannot be serialized.