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#59 added support for basic devices. Some improvements that could be made:
Factor out the device checking logic (into a decorator?)
Add devices that don't support certain dtypes (non-support for float64/complex128 being the most common)
Allow the user to manually create custom "devices" with certain properties (probably via the flags API).
Better testing for device support. This ideally should go in array-api-tests, but currently it doesn't test devices at all, so it would be useful to have some basic tests here.
The text was updated successfully, but these errors were encountered:
I tried to run the scikit-learn tests with array-api-strict on the non-default device and I got some failures that do not happen with PyTorch and non-default device. So I suspect there is something fishy happening with the new devices in array-api-strict but I have not investigated the root cause yet.
#59 added support for basic devices. Some improvements that could be made:
The text was updated successfully, but these errors were encountered: