Cuda array interface (clone) #333
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janden
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Leave this in a separate module for reuse in other places.
Needed for cupy.
Looks like `torch.asarray` was introduced in v1.11, so for backwards compatibility, we use `as_tensor` instead.
Should be using `_data`, not `data` since the former has been transformed to the appropriate dtype, stride, and shape.
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Allows us to specify which frameworks to test. This allows us to avoid some crashes when different frameworks don't interact well (e.g., Numba will fail if it's not given the primary context).
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Can't call `x.size`, need to use compatibility layer.
Avoids having to call `util.transfer_funcs` all the time and simplifies when we only want `to_gpu`.
Only for show right now, since we only test the `pycuda` framework pending updated interface.
Shows that these are *pycuda* examples, not for the other frameworks (to be added later).
Since we can run on any of the given frameworks, we no longer depend on the `pycuda` package.
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Clone of #326 to get Jenkins runs.