Module random

Collection of functions related to random number generation

Enums

• ShapeOrCount
  Shape or count for the categorical distribution.

Functions

• bernoulli
  Generate Bernoulli random values with a given p value.
• bernoulli_device
  Generate Bernoulli random values with a given p value.
• categorical
  Sample from a categorical distribution.
• categorical_device
  Sample from a categorical distribution.
• gumbel
  Sample from the standard Gumbel distribution.
• gumbel_device
  Sample from the standard Gumbel distribution.
• key
  Get a PRNG key from a seed.
• multivariate_normal
  Generate jointly-normal random samples given a mean and covariance.
• multivariate_normal_device
  Generate jointly-normal random samples given a mean and covariance.
• normal
  Generate normally distributed random numbers.
• normal_device
  Generate normally distributed random numbers.
• randint
  Generate random integers from the given interval (lower: and upper:).
• randint_device
  Generate random integers from the given interval (lower: and upper:).
• seed
  Seed the random number generator.
• split
  Split a PRNG key into two keys and return a tuple.
• split_device
  Split a PRNG key into two keys and return a tuple.
• truncated_normal
  Generate values from a truncated normal distribution between low and high.
• truncated_normal_device
  Generate values from a truncated normal distribution between low and high.
• uniform
  Generate uniformly distributed random numbers. The values are sampled uniformly in the half-open interval [lower, upper). The lower and upper bound can be scalars or arrays and must be broadcastable to shape.
• uniform_device
  Generate uniformly distributed random numbers. The values are sampled uniformly in the half-open interval [lower, upper). The lower and upper bound can be scalars or arrays and must be broadcastable to shape.