dpctl.tensor.from_numpy

dpctl.tensor.from_numpy(arg, device=None, usm_type='device', sycl_queue=None)[source]

Creates dpctl.tensor.usm_ndarray from instance of numpy.ndarray.

Parameters:

  • arg – Input convertible to numpy.ndarray

  • device (object) – array API specification of device where the output array is created. Device can be specified by a a filter selector string, an instance of dpctl.SyclDevice, an instance of dpctl.SyclQueue, or an instance of dpctl.tensor.Device. If the value is None, returned array is created on the default-selected device. Default: None

  • usm_type (str) – The requested USM allocation type for the output array. Recognized values are "device", "shared", or "host"

  • sycl_queue (dpctl.SyclQueue, optional) – A SYCL queue that determines output array allocation device as well as execution placement of data movement operations. The device and sycl_queue arguments are equivalent. Only one of them should be specified. If both are provided, they must be consistent and result in using the same execution queue. Default: None

The returned array has the same shape, and the same data type kind. If the device does not support the data type of input array, a closest support data type of the same kind may be returned, e.g. input array of type float16 may be upcast to float32 if the target device does not support 16-bit floating point type.