dpnp.random.randn

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

Return a sample (or samples) from the "standard normal" distribution.

For full documentation refer to numpy.random.randn.

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.

Returns:

out -- A (d0, d1, ..., dn)-shaped array of floating-point samples from the standard normal distribution, or a single such float if no parameters were supplied. Output array data type is dpnp.float64 if device supports it, or dpnp.float32 otherwise.

Return type:

dpnp.ndarray

Examples

>>> dpnp.random.randn()
2.1923875335537315  # random

Two-by-four array of samples from N(3, 6.25):

>>> s = 3 + 2.5 * dpnp.random.randn(2, 4)