You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In a project that I'm working on, it would be useful to be able to create the arrays with cupy and then pass them to the C++ code (that contains a mix of cuda library, e.g. cufft, calls and custom kernels). Is this a feature that is of interest? I got it to work locally, so I could make a pull request if you're interested.
At the moment, this fails on this check and missing support further on in the same function:
Hi Bouwe! I think I've looked at this in the past, but back then I thought it was not possible to recover the underlying pointer to device memory from a cupy array object. I'm very happy to hear that you got this to work! I think this could be a very nice addition to the compiler backend to support this as well.
In a project that I'm working on, it would be useful to be able to create the arrays with cupy and then pass them to the C++ code (that contains a mix of cuda library, e.g. cufft, calls and custom kernels). Is this a feature that is of interest? I got it to work locally, so I could make a pull request if you're interested.
At the moment, this fails on this check and missing support further on in the same function:
kernel_tuner/kernel_tuner/backends/compiler.py
Line 115 in 08fb58e
The text was updated successfully, but these errors were encountered: