dpnp.random.rand

dpnp.random.rand(d0, *dn, device=None, usm_type='device', sycl_queue=None)[source]

Random values in a given shape.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).

For full documentation refer to numpy.random.rand.

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 -- Random values in a given shape. Output array data type is dpnp.float64 if device supports it, or dpnp.float32 otherwise.

Return type:

dpnp.ndarray

Examples

>>> s = dpnp.random.rand(3, 2)