dpnp.random.standard_normal¶

dpnp.random.standard_normal(size=None, device=None, usm_type='device', sycl_queue=None)[source]¶

Draw samples from a standard Normal distribution (mean=0, stdev=1).

For full documentation refer to numpy.random.standard_normal.

Parameters:

device{None, string, SyclDevice, SyclQueue, Device}, optional

An array API concept of device where the output array is created. device can be None, a oneAPI filter selector string, an instance of dpctl.SyclDevice corresponding to a non-partitioned SYCL device, an instance of dpctl.SyclQueue, or a dpnp.tensor.Device object returned by dpnp.ndarray.device.

Default: None.

usm_type{"device", "shared", "host"}, optional

The type of SYCL USM allocation for the output array.

Default: "device".

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:

outdpnp.ndarray: A floating-point array of shape size of drawn samples, or a single sample if size was not specified. Output array data type is dpnp.float64 if device supports it, or dpnp.float32 otherwise.

Examples

Draw samples from the distribution:

>>> s = dpnp.random.standard_normal(1000)