random.h File Reference

#include <chrono>
#include <optional>
#include "mlx/array.h"
#include "mlx/stream.h"
#include "mlx/utils.h"

Go to the source code of this file.

Classes
class	mlx::core::random::KeySequence

Namespaces
namespace	mlx
namespace	mlx::core
namespace	mlx::core::random

Functions
array	mlx::core::random::key (uint64_t seed)
	Get a PRNG key from a seed.
void	mlx::core::random::seed (uint64_t seed)
	Seed the default PRNG key.
array	mlx::core::random::bits (const std::vector< int > &shape, int width, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate an array with type uint32 filled with random bits.
array	mlx::core::random::bits (const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
std::pair< array, array >	mlx::core::random::split (const array &key, StreamOrDevice s={})
	Split the rng key into a pair of keys.
array	mlx::core::random::split (const array &key, int num, StreamOrDevice s={})
	Split the rng key into num keys.
array	mlx::core::random::uniform (const array &low, const array &high, const std::vector< int > &shape, Dtype dtype=float32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate uniform random numbers between low and high.
template<typename T , typename U >
array	mlx::core::random::uniform (T low, U high, const std::vector< int > &shape, Dtype dtype=float32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::uniform (const std::vector< int > &shape, Dtype dtype, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate uniform random numbers between 0 and 1.
array	mlx::core::random::uniform (const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::normal (const std::vector< int > &shape, Dtype dtype, const float loc, const float scale, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate samples from the standard normal distribution.
array	mlx::core::random::normal (const std::vector< int > &shape, const float loc, const float scale, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::normal (const std::vector< int > &shape, const Dtype dtype, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::normal (const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::multivariate_normal (const array &mean, const array &cov, const std::vector< int > &shape, Dtype dtype, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate samples from a multivariate normal distribution.
array	mlx::core::random::randint (const array &low, const array &high, const std::vector< int > &shape, Dtype dtype=int32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate integer samples uniformly at random.
template<typename T , typename U >
array	mlx::core::random::randint (T low, U high, const std::vector< int > &shape, Dtype dtype=int32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::bernoulli (const array &p, const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate binary variables with probability to be true equal to p.
array	mlx::core::random::bernoulli (const array &p, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
template<typename T >
array	mlx::core::random::bernoulli (T p, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
template<typename T >
array	mlx::core::random::bernoulli (T p, const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::bernoulli (const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::truncated_normal (const array &lower, const array &upper, const std::vector< int > &shape, Dtype dtype=float32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::truncated_normal (const array &lower, const array &upper, Dtype dtype=float32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::gumbel (const std::vector< int > &shape, Dtype dtype=float32, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::categorical (const array &logits, int axis, const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::categorical (const array &logits_, int axis, int num_samples, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::categorical (const array &logits, int axis=-1, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::laplace (const std::vector< int > &shape, Dtype dtype, const float loc, const float scale, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
	Generate samples from the laplace distribution.
array	mlx::core::random::laplace (const std::vector< int > &shape, const float loc, const float scale, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::laplace (const std::vector< int > &shape, const Dtype dtype, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})
array	mlx::core::random::laplace (const std::vector< int > &shape, const std::optional< array > &key=std::nullopt, StreamOrDevice s={})