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Yes, actually. In MKL's DFTI interface such plans are called descriptors. mkl_fft already caches descriptors for 1D transforms, but it is a good change to expose the committed descriptor as a Python object and allow to pass it to respective Python functions.
Any plan to add a planning stage ? That is very useful when mkl_fft is used inside a loop to reduce runtime.
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