Draw random integers from a uniform distribution.

The generated values follow a uniform distribution in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.

dtype must be an integer type.

Usage

random_integer(shape, minval, maxval, dtype = "int32", seed = NULL)

Arguments

shape

The shape of the random values to generate.

minval

integer, lower bound of the range of random values to generate (inclusive).

maxval

integer, upper bound of the range of random values to generate (exclusive).

dtype

Optional dtype of the tensor. Only integer types are supported. If not specified, "int32" is used.

seed

An R integer or instance of random_seed_generator(). Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or NULL (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of random_seed_generator().

Value

A tensor of random values.

See also

Other random:
random_beta()
random_binomial()
random_categorical()
random_dropout()
random_gamma()
random_normal()
random_seed_generator()
random_shuffle()
random_truncated_normal()
random_uniform()