Traceback (most recent call last):
File "/home/cosmic/anaconda3/envs/blri/bin/blri_pycorr", line 6, in <module>
sys.exit(correlate_cli())
^^^^^^^^^^^^^^^
File "/home/cosmic/anaconda3/envs/blri/lib/python3.12/site-packages/blri/entrypoints/correlate.py", line 584, in correlate_cli
correlate(
File "/home/cosmic/anaconda3/envs/blri/lib/python3.12/site-packages/blri/entrypoints/correlate.py", line 403, in correlate
for correlation_tuple in correlation_iter.data():
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/cosmic/anaconda3/envs/blri/lib/python3.12/site-packages/blri/entrypoints/correlate.py", line 221, in data
datablock = dsp.correlate(datablock, conjugation_convention_flip=self.invert_correlation_conjugation)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/cosmic/anaconda3/envs/blri/lib/python3.12/site-packages/blri/dsp.py", line 198, in correlate
corr = compy.zeros(
^^^^^^^^^^^^
File "/home/cosmic/anaconda3/envs/blri/lib/python3.12/site-packages/cupy/_creation/basic.py", line 250, in zeros
a = cupy.ndarray(shape, dtype, order=order)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "cupy/_core/core.pyx", line 167, in cupy._core.core.ndarray.__new__
File "cupy/_core/core.pyx", line 254, in cupy._core.core._ndarray_base._init
File "cupy/cuda/memory.pyx", line 875, in cupy.cuda.memory.alloc
File "cupy/cuda/memory.pyx", line 1579, in cupy.cuda.memory.MemoryPool.malloc
File "cupy/cuda/memory.pyx", line 1600, in cupy.cuda.memory.MemoryPool.malloc
File "cupy/cuda/memory.pyx", line 1271, in cupy.cuda.memory.SingleDeviceMemoryPool.malloc
File "cupy/cuda/memory.pyx", line 1292, in cupy.cuda.memory.SingleDeviceMemoryPool._malloc
File "cupy/cuda/memory.pyx", line 1499, in cupy.cuda.memory.SingleDeviceMemoryPool._try_malloc
File "cupy/cuda/memory.pyx", line 1511, in cupy.cuda.memory.SingleDeviceMemoryPool._try_malloc
cupy.cuda.memory.OutOfMemoryError: Out of memory allocating 10,905,169,920 bytes (allocated so far: 11,325,009,920 bytes, limit set to: 16,891,248,640 bytes).
It would be better if using
--cupyhandled chunking loads to device rather than failing due toOut of memory allocation. This could maybe be easily done by moving toJaxor an alternative GPU acceleration library.