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Changed parameter bind caching for CPU and GPU kernels
- previously all objects where cached by id() - for waLBerla simulations in each time step a new np.array view is created from the waLBerla field. Each of these views has a different id -> caching did not work for waLBerla setups - changed hash for numpy arrays: instead of id, a tuple of (dataPtr, strides, shapes) is used as hash input
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