Defined in tensorflow/_api/v1/random/__init__.py.
Public API for tf.random namespace.
Functions
all_candidate_sampler(...): Generate the set of all classes.
categorical(...): Draws samples from a categorical distribution.
fixed_unigram_candidate_sampler(...): Samples a set of classes using the provided (fixed) base distribution.
gamma(...): Draws shape samples from each of the given Gamma distribution(s).
get_seed(...): Returns the local seeds an operation should use given an op-specific seed.
learned_unigram_candidate_sampler(...): Samples a set of classes from a distribution learned during training.
log_uniform_candidate_sampler(...): Samples a set of classes using a log-uniform (Zipfian) base distribution.
multinomial(...): Draws samples from a multinomial distribution. (deprecated)
normal(...): Outputs random values from a normal distribution.
poisson(...): Draws shape samples from each of the given Poisson distribution(s).
set_random_seed(...): Sets the graph-level random seed.
shuffle(...): Randomly shuffles a tensor along its first dimension.
stateless_categorical(...): Draws deterministic pseudorandom samples from a categorical distribution.
stateless_multinomial(...): Draws deterministic pseudorandom samples from a multinomial distribution. (deprecated)
stateless_normal(...): Outputs deterministic pseudorandom values from a normal distribution.
stateless_truncated_normal(...): Outputs deterministic pseudorandom values, truncated normally distributed.
stateless_uniform(...): Outputs deterministic pseudorandom values from a uniform distribution.
truncated_normal(...): Outputs random values from a truncated normal distribution.
uniform(...): Outputs random values from a uniform distribution.
uniform_candidate_sampler(...): Samples a set of classes using a uniform base distribution.