General exceptions used by DPNP. Note that some exceptions may be module specific, such as linear algebra errors.
Given when constructing DLPack capsule from either dpnp.ndarray or
dpctl.tensor.usm_ndarray based on a USM allocation
on a partitioned SYCL device.
Examples
>>> import dpnp as np
>>> import dpctl
>>> dev = dpctl.SyclDevice('cpu')
>>> sdevs = dev.create_sub_devices(partition=[1, 1])
>>> q = dpctl.SyclQueue(sdevs[0])
>>> x = np.ones(10, sycl_queue=q)
>>> np.from_dlpack(x)
Traceback (most recent call last):
...
DLPackCreationError: to_dlpack_capsule: DLPack can only export arrays based on USM allocations bound to a default platform SYCL context
Given when execution placement target can not be unambiguously determined
from input arrays. Make sure that input arrays are associated with the same
dpctl.SyclQueue, or migrate data to the same
dpctl.SyclQueue using dpnp.ndarray.to_device() method.
Given when dpctl.SyclContext instance could not be created.
Given when dpctl.SyclDevice instance could not be created.
Given when dpctl.SyclQueue instance could not be created.
The creation can fail if the filter string is invalid, or the backend or
device type values are not supported.
Given when Unified Shared Memory (USM) allocation call returns a null pointer, signaling a failure to perform the allocation. Some common reasons for allocation failure are:
insufficient free memory to perform the allocation request
allocation size exceeds the maximum supported by targeted backend