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 dpctl.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.

  • 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 -- 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.

Return type:

dpnp.ndarray

Examples

Draw samples from the distribution:

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