Hi,
First of all, please report details of your hardware and your job.
- Type of GPU
- Number of GPU
- GPU memory size
- Box size
- Number of threads
- Number of MPI processes
- Full command line
Do you get the same error in ALL datasets (including our
tutorial dataset) or only on this particular dataset?
A very similar issue was reported in
https://github.com/3dem/relion/issues/1056
but I do not know what is the cause at the moment.
Best regards,
Takanori Nakane
On 12/23/23 03:31, Srivastava, Dhiraj wrote:
Hi
I am trying to use relion and I am getting error when trying to use mpi
(for 3d classification and 3D auto-refine).
ERROR: out of memory in
/home/lvantol/relion5/relion/src/acc/cuda/custom_allocator.cuh at line
436 (error-code 2)
in: /home/lvantol/relion5/relion/src/acc/cuda/cuda_settings.h, line 65
ERROR:
A GPU-function failed to execute.
2D classification is working fine with significant GPU usage. I tried 3
different versions (4, 4 beta and 5 beta), one installed by vendor
(Exxact) and all have the same issue. I am able to do 3D auto-refine
and 3D classification on the same data set using our cluster without any
problem. did anyone encounter a similar issue earlier? How can I fix
this problem?
Thank you
Dhiraj
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