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Based on the error message, it seems like this is a known limitation, but I'm resampling data using ffts and get an error related to the size of the data. The data shape is: (17863680, 128) and the fft is being taken along axis=0.
I'm guessing this might be related to an index being int32, and if it is possible to get rid of this limitation, that would be helpful.
File "/home/jlivezey/process_nwb/process_nwb/fft.py", line 22, in rfft
return mklrfft(*args, **kwargs)
File "/clusterfs/bebb/users/jlivezey/anaconda3/envs/nsds_nwb/lib/python3.7/site-packages/mkl_fft/_numpy_fft.py", line 414, in rfft
(x,), {'n': n, 'axis': axis})
File "/clusterfs/bebb/users/jlivezey/anaconda3/envs/nsds_nwb/lib/python3.7/site-packages/mkl_fft/_numpy_fft.py", line 103, in trycall
raise ve
File "/clusterfs/bebb/users/jlivezey/anaconda3/envs/nsds_nwb/lib/python3.7/site-packages/mkl_fft/_numpy_fft.py", line 98, in trycall
res = func(*args, **kwrds)
File "mkl_fft/_pydfti.pyx", line 792, in mkl_fft._pydfti.rfft_numpy
File "mkl_fft/_pydfti.pyx", line 701, in mkl_fft._pydfti._rc_fft1d_impl
ValueError: Internal error occurred: b'Intel MKL DFTI ERROR: Data size of one of transform dimensions exceeds 2^31 - 1 bytes'
The text was updated successfully, but these errors were encountered:
Based on the error message, it seems like this is a known limitation, but I'm resampling data using ffts and get an error related to the size of the data. The data shape is: (17863680, 128) and the fft is being taken along axis=0.
I'm guessing this might be related to an index being int32, and if it is possible to get rid of this limitation, that would be helpful.
The text was updated successfully, but these errors were encountered: