TensorFlow 2 version |
Public API for tf.random namespace.
Modules
experimental
module: Public API for tf.random.experimental 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 for the default graph.
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.