dpnp.random.randint

dpnp.random.randint(low, high=None, size=None, dtype=<class 'int'>, device=None, usm_type='device', sycl_queue=None)[source]

Return random integers from low (inclusive) to high (exclusive).

For full documentation refer to numpy.random.randint.

Parameters:

device ({None, string, SyclDevice, SyclQueue}, optional) -- An array API concept of device where the output array is created. The device can be None (the default), an OneAPI filter selector string, an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, an instance of dpctl.SyclQueue, or a Device object returned by dpnp.dpnp_array.dpnp_array.device property.
usm_type ({"device", "shared", "host"}, optional) -- The type of SYCL USM allocation for the output array.
sycl_queue ({None, SyclQueue}, optional) -- A SYCL queue to use for output array allocation and copying. The sycl_queue can be passed as None (the default), which means to get the SYCL queue from device keyword if present or to use a default queue. Default: None.

Returns:

out -- size-shaped array of random integers from the appropriate distribution, or a single such random int if size is not provided. Output array data type is the same as input dtype.

Return type:

dpnp.ndarray

Limitations

Parameters low and high are supported only as a scalar. Parameter dtype is supported only as dpnp.int32 or int, but int value is considered to be exactly equivalent to dpnp.int32. Otherwise, numpy.random.RandomState.randint(low, high, size, dtype) samples are drawn.

Examples

Draw samples from the distribution:

>>> low, high = 3, 11 # low and high
>>> s = dpnp.random.randint(low, high, 1000, dtype=dpnp.int32)